ºÝºÝߣshows by User: nitinrane33 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: nitinrane33 / Wed, 11 Oct 2023 16:59:57 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: nitinrane33 Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword /slideshow/contribution-and-performance-of-chatgpt-and-other-large-language-models-llm-for-scientific-and-research-advancements-a-doubleedged-sword/262058700 contributionofchatgpt-231011165957-a5f843fe
This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to the advancement of scientific and research fields, including public health, climate change, computer programming, education etc. The research commences by examining the role of ChatGPT in scientific publishing, demonstrating how it can streamline the creation of research content, thereby enhancing the accessibility and dissemination of scientific knowledge. In the context of public health and medical writing, the study investigates how ChatGPT can transform healthcare by assisting professionals and researchers in generating accurate and informative documents, thereby contributing significantly to the widespread dissemination of critical health information and advancements. In the fight against climate change and global warming, ChatGPT emerges as a promising tool for addressing challenges related to data analysis, prediction modeling, and communication. The research explores how ChatGPT can support climate scientists and policymakers in synthesizing intricate data, creating effective communication materials, and mobilizing public awareness and action. Furthermore, the study assesses ChatGPT's contributions to the field of computer programming, where it can aid developers in debugging programming errors. Its ability to comprehend and generate code snippets streamlines problem-solving, thereby boosting software development efficiency and code quality. The research extends its examination to ChatGPT's performance across various domains, including public health, climate change, computer programming, and education. Additionally, the study delves into the opportunities and challenges associated with integrating large language models like ChatGPT into education. It investigates how ChatGPT can enhance the learning experience, automate administrative tasks, and deliver personalized educational content. Simultaneously, it addresses concerns related to bias, ethics, and data privacy. This research underscores the significant potential of ChatGPT in advancing scientific and research endeavors across multiple domains. It emphasizes the importance of responsible and ethical utilization of AI models like ChatGPT, recognizing the opportunities they offer to expedite progress and address critical global challenges, all while remaining vigilant about ethical and societal implications.]]>
This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to the advancement of scientific and research fields, including public health, climate change, computer programming, education etc. The research commences by examining the role of ChatGPT in scientific publishing, demonstrating how it can streamline the creation of research content, thereby enhancing the accessibility and dissemination of scientific knowledge. In the context of public health and medical writing, the study investigates how ChatGPT can transform healthcare by assisting professionals and researchers in generating accurate and informative documents, thereby contributing significantly to the widespread dissemination of critical health information and advancements. In the fight against climate change and global warming, ChatGPT emerges as a promising tool for addressing challenges related to data analysis, prediction modeling, and communication. The research explores how ChatGPT can support climate scientists and policymakers in synthesizing intricate data, creating effective communication materials, and mobilizing public awareness and action. Furthermore, the study assesses ChatGPT's contributions to the field of computer programming, where it can aid developers in debugging programming errors. Its ability to comprehend and generate code snippets streamlines problem-solving, thereby boosting software development efficiency and code quality. The research extends its examination to ChatGPT's performance across various domains, including public health, climate change, computer programming, and education. Additionally, the study delves into the opportunities and challenges associated with integrating large language models like ChatGPT into education. It investigates how ChatGPT can enhance the learning experience, automate administrative tasks, and deliver personalized educational content. Simultaneously, it addresses concerns related to bias, ethics, and data privacy. This research underscores the significant potential of ChatGPT in advancing scientific and research endeavors across multiple domains. It emphasizes the importance of responsible and ethical utilization of AI models like ChatGPT, recognizing the opportunities they offer to expedite progress and address critical global challenges, all while remaining vigilant about ethical and societal implications.]]> Wed, 11 Oct 2023 16:59:57 GMT /slideshow/contribution-and-performance-of-chatgpt-and-other-large-language-models-llm-for-scientific-and-research-advancements-a-doubleedged-sword/262058700 nitinrane33@slideshare.net(nitinrane33) Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword nitinrane33 This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to the advancement of scientific and research fields, including public health, climate change, computer programming, education etc. The research commences by examining the role of ChatGPT in scientific publishing, demonstrating how it can streamline the creation of research content, thereby enhancing the accessibility and dissemination of scientific knowledge. In the context of public health and medical writing, the study investigates how ChatGPT can transform healthcare by assisting professionals and researchers in generating accurate and informative documents, thereby contributing significantly to the widespread dissemination of critical health information and advancements. In the fight against climate change and global warming, ChatGPT emerges as a promising tool for addressing challenges related to data analysis, prediction modeling, and communication. The research explores how ChatGPT can support climate scientists and policymakers in synthesizing intricate data, creating effective communication materials, and mobilizing public awareness and action. Furthermore, the study assesses ChatGPT's contributions to the field of computer programming, where it can aid developers in debugging programming errors. Its ability to comprehend and generate code snippets streamlines problem-solving, thereby boosting software development efficiency and code quality. The research extends its examination to ChatGPT's performance across various domains, including public health, climate change, computer programming, and education. Additionally, the study delves into the opportunities and challenges associated with integrating large language models like ChatGPT into education. It investigates how ChatGPT can enhance the learning experience, automate administrative tasks, and deliver personalized educational content. Simultaneously, it addresses concerns related to bias, ethics, and data privacy. This research underscores the significant potential of ChatGPT in advancing scientific and research endeavors across multiple domains. It emphasizes the importance of responsible and ethical utilization of AI models like ChatGPT, recognizing the opportunities they offer to expedite progress and address critical global challenges, all while remaining vigilant about ethical and societal implications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/contributionofchatgpt-231011165957-a5f843fe-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to the advancement of scientific and research fields, including public health, climate change, computer programming, education etc. The research commences by examining the role of ChatGPT in scientific publishing, demonstrating how it can streamline the creation of research content, thereby enhancing the accessibility and dissemination of scientific knowledge. In the context of public health and medical writing, the study investigates how ChatGPT can transform healthcare by assisting professionals and researchers in generating accurate and informative documents, thereby contributing significantly to the widespread dissemination of critical health information and advancements. In the fight against climate change and global warming, ChatGPT emerges as a promising tool for addressing challenges related to data analysis, prediction modeling, and communication. The research explores how ChatGPT can support climate scientists and policymakers in synthesizing intricate data, creating effective communication materials, and mobilizing public awareness and action. Furthermore, the study assesses ChatGPT&#39;s contributions to the field of computer programming, where it can aid developers in debugging programming errors. Its ability to comprehend and generate code snippets streamlines problem-solving, thereby boosting software development efficiency and code quality. The research extends its examination to ChatGPT&#39;s performance across various domains, including public health, climate change, computer programming, and education. Additionally, the study delves into the opportunities and challenges associated with integrating large language models like ChatGPT into education. It investigates how ChatGPT can enhance the learning experience, automate administrative tasks, and deliver personalized educational content. Simultaneously, it addresses concerns related to bias, ethics, and data privacy. This research underscores the significant potential of ChatGPT in advancing scientific and research endeavors across multiple domains. It emphasizes the importance of responsible and ethical utilization of AI models like ChatGPT, recognizing the opportunities they offer to expedite progress and address critical global challenges, all while remaining vigilant about ethical and societal implications.
Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword from nitinrane33
]]> 59 0 https://cdn.slidesharecdn.com/ss_thumbnails/contributionofchatgpt-231011165957-a5f843fe-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ChatGPT is not capable of serving as an author: ethical concerns and challenges of large language models in education /slideshow/chatgpt-is-not-capable-of-serving-as-an-author-ethical-concerns-and-challenges-of-large-language-models-in-education/262058586 chatgptisnotcapableofservingasan-231011165634-491795d7
This research delves into the dynamic role of ChatGPT and similar large language models within the realm of education. It sheds light on their set of limitations, ethical concerns, and challenges that must be addressed thoughtfully, offering a comprehensive exploration of their implications in various educational contexts and the evolving landscape of teaching, research, and scholarly communication. The paper initiates its exploration by investigating how ChatGPT can be applied in scientific writing and publishing. Furthermore, the paper critically assesses the constraints associated with utilizing ChatGPT in education. It acknowledges the model's limitations in generating authoritative content, comprehending complex subject matter, and ensuring information accuracy. These limitations, thoroughly examined, present substantial obstacles to the integration of ChatGPT into educational practices. The research also addresses the ethical dilemmas and potential pitfalls that arise from a heavy reliance on generative AI in education. It delves into issues of bias, accountability, and the dissemination of misinformation. These considerations emphasize the importance of maintaining human agency and oversight in educational settings, promoting the responsible use of AI. The paper further explores the impact of ChatGPT on academic research, both in terms of augmenting research productivity and potential risks to the rigor and authenticity of scholarly work. Strategies and tools for detecting and mitigating instances of academic misconduct involving AI-generated content are examined in detail. Additionally, the research investigates the role of ChatGPT in enhancing critical thinking skills among students, educators, and researchers. It explores the potential for innovative pedagogical methods that leverage generative AI to foster improved critical thinking. Moreover, the paper considers the implications of ChatGPT on educational policy, encompassing issues such as privacy concerns, intellectual property rights, and the necessity for regulations in the evolving landscape of AI in education. These insights are invaluable for educators, researchers, policymakers, and stakeholders seeking to harness the benefits of generative AI while navigating the associated challenges in the realm of education.]]>
This research delves into the dynamic role of ChatGPT and similar large language models within the realm of education. It sheds light on their set of limitations, ethical concerns, and challenges that must be addressed thoughtfully, offering a comprehensive exploration of their implications in various educational contexts and the evolving landscape of teaching, research, and scholarly communication. The paper initiates its exploration by investigating how ChatGPT can be applied in scientific writing and publishing. Furthermore, the paper critically assesses the constraints associated with utilizing ChatGPT in education. It acknowledges the model's limitations in generating authoritative content, comprehending complex subject matter, and ensuring information accuracy. These limitations, thoroughly examined, present substantial obstacles to the integration of ChatGPT into educational practices. The research also addresses the ethical dilemmas and potential pitfalls that arise from a heavy reliance on generative AI in education. It delves into issues of bias, accountability, and the dissemination of misinformation. These considerations emphasize the importance of maintaining human agency and oversight in educational settings, promoting the responsible use of AI. The paper further explores the impact of ChatGPT on academic research, both in terms of augmenting research productivity and potential risks to the rigor and authenticity of scholarly work. Strategies and tools for detecting and mitigating instances of academic misconduct involving AI-generated content are examined in detail. Additionally, the research investigates the role of ChatGPT in enhancing critical thinking skills among students, educators, and researchers. It explores the potential for innovative pedagogical methods that leverage generative AI to foster improved critical thinking. Moreover, the paper considers the implications of ChatGPT on educational policy, encompassing issues such as privacy concerns, intellectual property rights, and the necessity for regulations in the evolving landscape of AI in education. These insights are invaluable for educators, researchers, policymakers, and stakeholders seeking to harness the benefits of generative AI while navigating the associated challenges in the realm of education.]]> Wed, 11 Oct 2023 16:56:34 GMT /slideshow/chatgpt-is-not-capable-of-serving-as-an-author-ethical-concerns-and-challenges-of-large-language-models-in-education/262058586 nitinrane33@slideshare.net(nitinrane33) ChatGPT is not capable of serving as an author: ethical concerns and challenges of large language models in education nitinrane33 This research delves into the dynamic role of ChatGPT and similar large language models within the realm of education. It sheds light on their set of limitations, ethical concerns, and challenges that must be addressed thoughtfully, offering a comprehensive exploration of their implications in various educational contexts and the evolving landscape of teaching, research, and scholarly communication. The paper initiates its exploration by investigating how ChatGPT can be applied in scientific writing and publishing. Furthermore, the paper critically assesses the constraints associated with utilizing ChatGPT in education. It acknowledges the model's limitations in generating authoritative content, comprehending complex subject matter, and ensuring information accuracy. These limitations, thoroughly examined, present substantial obstacles to the integration of ChatGPT into educational practices. The research also addresses the ethical dilemmas and potential pitfalls that arise from a heavy reliance on generative AI in education. It delves into issues of bias, accountability, and the dissemination of misinformation. These considerations emphasize the importance of maintaining human agency and oversight in educational settings, promoting the responsible use of AI. The paper further explores the impact of ChatGPT on academic research, both in terms of augmenting research productivity and potential risks to the rigor and authenticity of scholarly work. Strategies and tools for detecting and mitigating instances of academic misconduct involving AI-generated content are examined in detail. Additionally, the research investigates the role of ChatGPT in enhancing critical thinking skills among students, educators, and researchers. It explores the potential for innovative pedagogical methods that leverage generative AI to foster improved critical thinking. Moreover, the paper considers the implications of ChatGPT on educational policy, encompassing issues such as privacy concerns, intellectual property rights, and the necessity for regulations in the evolving landscape of AI in education. These insights are invaluable for educators, researchers, policymakers, and stakeholders seeking to harness the benefits of generative AI while navigating the associated challenges in the realm of education. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chatgptisnotcapableofservingasan-231011165634-491795d7-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This research delves into the dynamic role of ChatGPT and similar large language models within the realm of education. It sheds light on their set of limitations, ethical concerns, and challenges that must be addressed thoughtfully, offering a comprehensive exploration of their implications in various educational contexts and the evolving landscape of teaching, research, and scholarly communication. The paper initiates its exploration by investigating how ChatGPT can be applied in scientific writing and publishing. Furthermore, the paper critically assesses the constraints associated with utilizing ChatGPT in education. It acknowledges the model&#39;s limitations in generating authoritative content, comprehending complex subject matter, and ensuring information accuracy. These limitations, thoroughly examined, present substantial obstacles to the integration of ChatGPT into educational practices. The research also addresses the ethical dilemmas and potential pitfalls that arise from a heavy reliance on generative AI in education. It delves into issues of bias, accountability, and the dissemination of misinformation. These considerations emphasize the importance of maintaining human agency and oversight in educational settings, promoting the responsible use of AI. The paper further explores the impact of ChatGPT on academic research, both in terms of augmenting research productivity and potential risks to the rigor and authenticity of scholarly work. Strategies and tools for detecting and mitigating instances of academic misconduct involving AI-generated content are examined in detail. Additionally, the research investigates the role of ChatGPT in enhancing critical thinking skills among students, educators, and researchers. It explores the potential for innovative pedagogical methods that leverage generative AI to foster improved critical thinking. Moreover, the paper considers the implications of ChatGPT on educational policy, encompassing issues such as privacy concerns, intellectual property rights, and the necessity for regulations in the evolving landscape of AI in education. These insights are invaluable for educators, researchers, policymakers, and stakeholders seeking to harness the benefits of generative AI while navigating the associated challenges in the realm of education.
ChatGPT is not capable of serving as an author: ethical concerns and challenges of large language models in education from nitinrane33
]]> 94 0 https://cdn.slidesharecdn.com/ss_thumbnails/chatgptisnotcapableofservingasan-231011165634-491795d7-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Enhancing customer loyalty through quality of service: Effective strategies to improve customer satisfaction, experience, relationship, and engagement /slideshow/customer-loyalty-quality-of-service-customer-satisfaction-customer-experience-customer-relationship-customer-engagement/257706618 irjmets50500031250-230506090406-0f15001b
Enhancing customer loyalty is crucial for business success, and it can be influenced by various factors such as customer satisfaction, quality of service, customer experience, and customer relationship management. This paper aims to explore effective strategies for improving customer loyalty through quality service. One of the key drivers of customer loyalty is customer satisfaction, which can be influenced by service and product quality, brand loyalty, and company reputation. Measuring and understanding customer satisfaction is vital for improving customer loyalty. This paper examines different criteria for measuring customer satisfaction, including types of surveys and the impact of employee satisfaction on customer satisfaction. Additionally, the paper explores the impact of technology on customer satisfaction and its role in enhancing the customer experience. Another important factor in customer loyalty is the customer experience. This paper delves into measuring and sustaining customer experience, particularly in online settings, and discusses the impact of social media and technology on the customer experience. Effective customer feedback and complaint management are also essential for maintaining a positive customer experience. Customer relationship management (CRM) is a crucial strategy for enhancing customer loyalty. This paper presents a framework for CRM and examines its effect on customer retention. Additionally, it explores the importance of understanding customer value and the different approaches to customer value. The paper presents effective strategies for enhancing customer loyalty through quality service. These strategies include understanding customer expectations, training and empowering employees, personalizing the customer experience, maintaining consistency across touchpoints, timely and effective communication, focusing on continuous improvement, rewarding customer loyalty, building emotional connections, resolving complaints effectively, measuring and monitoring customer satisfaction, anticipating customer needs, encouraging and responding to customer feedback, and investing in technology. This research paper provides valuable insights into enhancing customer loyalty through quality service. Implementing the strategies discussed in this paper can improve customer satisfaction, experience, relationship, and engagement, leading to increased customer loyalty and profitability for businesses. ]]>
Enhancing customer loyalty is crucial for business success, and it can be influenced by various factors such as customer satisfaction, quality of service, customer experience, and customer relationship management. This paper aims to explore effective strategies for improving customer loyalty through quality service. One of the key drivers of customer loyalty is customer satisfaction, which can be influenced by service and product quality, brand loyalty, and company reputation. Measuring and understanding customer satisfaction is vital for improving customer loyalty. This paper examines different criteria for measuring customer satisfaction, including types of surveys and the impact of employee satisfaction on customer satisfaction. Additionally, the paper explores the impact of technology on customer satisfaction and its role in enhancing the customer experience. Another important factor in customer loyalty is the customer experience. This paper delves into measuring and sustaining customer experience, particularly in online settings, and discusses the impact of social media and technology on the customer experience. Effective customer feedback and complaint management are also essential for maintaining a positive customer experience. Customer relationship management (CRM) is a crucial strategy for enhancing customer loyalty. This paper presents a framework for CRM and examines its effect on customer retention. Additionally, it explores the importance of understanding customer value and the different approaches to customer value. The paper presents effective strategies for enhancing customer loyalty through quality service. These strategies include understanding customer expectations, training and empowering employees, personalizing the customer experience, maintaining consistency across touchpoints, timely and effective communication, focusing on continuous improvement, rewarding customer loyalty, building emotional connections, resolving complaints effectively, measuring and monitoring customer satisfaction, anticipating customer needs, encouraging and responding to customer feedback, and investing in technology. This research paper provides valuable insights into enhancing customer loyalty through quality service. Implementing the strategies discussed in this paper can improve customer satisfaction, experience, relationship, and engagement, leading to increased customer loyalty and profitability for businesses. ]]> Sat, 06 May 2023 09:04:06 GMT /slideshow/customer-loyalty-quality-of-service-customer-satisfaction-customer-experience-customer-relationship-customer-engagement/257706618 nitinrane33@slideshare.net(nitinrane33) Enhancing customer loyalty through quality of service: Effective strategies to improve customer satisfaction, experience, relationship, and engagement nitinrane33 Enhancing customer loyalty is crucial for business success, and it can be influenced by various factors such as customer satisfaction, quality of service, customer experience, and customer relationship management. This paper aims to explore effective strategies for improving customer loyalty through quality service. One of the key drivers of customer loyalty is customer satisfaction, which can be influenced by service and product quality, brand loyalty, and company reputation. Measuring and understanding customer satisfaction is vital for improving customer loyalty. This paper examines different criteria for measuring customer satisfaction, including types of surveys and the impact of employee satisfaction on customer satisfaction. Additionally, the paper explores the impact of technology on customer satisfaction and its role in enhancing the customer experience. Another important factor in customer loyalty is the customer experience. This paper delves into measuring and sustaining customer experience, particularly in online settings, and discusses the impact of social media and technology on the customer experience. Effective customer feedback and complaint management are also essential for maintaining a positive customer experience. Customer relationship management (CRM) is a crucial strategy for enhancing customer loyalty. This paper presents a framework for CRM and examines its effect on customer retention. Additionally, it explores the importance of understanding customer value and the different approaches to customer value. The paper presents effective strategies for enhancing customer loyalty through quality service. These strategies include understanding customer expectations, training and empowering employees, personalizing the customer experience, maintaining consistency across touchpoints, timely and effective communication, focusing on continuous improvement, rewarding customer loyalty, building emotional connections, resolving complaints effectively, measuring and monitoring customer satisfaction, anticipating customer needs, encouraging and responding to customer feedback, and investing in technology. This research paper provides valuable insights into enhancing customer loyalty through quality service. Implementing the strategies discussed in this paper can improve customer satisfaction, experience, relationship, and engagement, leading to increased customer loyalty and profitability for businesses. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/irjmets50500031250-230506090406-0f15001b-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Enhancing customer loyalty is crucial for business success, and it can be influenced by various factors such as customer satisfaction, quality of service, customer experience, and customer relationship management. This paper aims to explore effective strategies for improving customer loyalty through quality service. One of the key drivers of customer loyalty is customer satisfaction, which can be influenced by service and product quality, brand loyalty, and company reputation. Measuring and understanding customer satisfaction is vital for improving customer loyalty. This paper examines different criteria for measuring customer satisfaction, including types of surveys and the impact of employee satisfaction on customer satisfaction. Additionally, the paper explores the impact of technology on customer satisfaction and its role in enhancing the customer experience. Another important factor in customer loyalty is the customer experience. This paper delves into measuring and sustaining customer experience, particularly in online settings, and discusses the impact of social media and technology on the customer experience. Effective customer feedback and complaint management are also essential for maintaining a positive customer experience. Customer relationship management (CRM) is a crucial strategy for enhancing customer loyalty. This paper presents a framework for CRM and examines its effect on customer retention. Additionally, it explores the importance of understanding customer value and the different approaches to customer value. The paper presents effective strategies for enhancing customer loyalty through quality service. These strategies include understanding customer expectations, training and empowering employees, personalizing the customer experience, maintaining consistency across touchpoints, timely and effective communication, focusing on continuous improvement, rewarding customer loyalty, building emotional connections, resolving complaints effectively, measuring and monitoring customer satisfaction, anticipating customer needs, encouraging and responding to customer feedback, and investing in technology. This research paper provides valuable insights into enhancing customer loyalty through quality service. Implementing the strategies discussed in this paper can improve customer satisfaction, experience, relationship, and engagement, leading to increased customer loyalty and profitability for businesses.
Enhancing customer loyalty through quality of service: Effective strategies to improve customer satisfaction, experience, relationship, and engagement from nitinrane33
]]> 263 0 https://cdn.slidesharecdn.com/ss_thumbnails/irjmets50500031250-230506090406-0f15001b-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Remote Sensing (RS), UAV/drones, and Machine Learning (ML) as powerful techniques for precision agriculture: Effective applications in agriculture /slideshow/remote-sensing-rs-uavdrones-and-machine-learning-ml-as-powerful-techniques-for-precision-agriculture-effective-applications-in-agriculture/257549440 ranechoudhary2023-230425022725-31f05718
Precision agriculture utilizes modern technology to optimize agricultural practices, resulting in increased productivity while reducing costs and environmental impact. The use of remote sensing (RS), drones or unmanned aerial vehicles (UAVs), and machine learning (ML) has significantly transformed precision agriculture. These advanced technologies provide farmers with accurate, cost-effective, and timely tools to manage crops and resources effectively. This paper evaluates the use of these techniques in precision agriculture, including their benefits, and effective applications. Remote sensing involves using satellites, aircraft, or drones to collect data on crops and the environment, such as soil moisture, temperature, and vegetation indices. With high-resolution images and three-dimensional maps of crops, UAVs enable farmers to identify and address issues like pest infestations or nutrient deficiencies. Machine learning algorithms analyze large amounts of data to predict crop yields, optimize irrigation and fertilization, and identify areas of the field that need attention. Several case studies highlight the effectiveness of these techniques in different agricultural settings. However, the paper also acknowledges the challenges associated with adopting these technologies, such as cost, data management, and regulatory issues. While the initial investment in drones and sensors may be high, the long-term benefits in terms of increased yields, reduced costs, and environmental sustainability are substantial. Farmers need to be trained in the use of these technologies to make informed decisions, and effective data management and analysis are crucial. Additionally, regulatory frameworks are still evolving, and clear guidelines are required for data privacy, safety, and ethical use. Although challenges remain, the benefits of increased productivity, reduced costs, and environmental sustainability make these technologies an attractive investment for farmers worldwide.]]>
Precision agriculture utilizes modern technology to optimize agricultural practices, resulting in increased productivity while reducing costs and environmental impact. The use of remote sensing (RS), drones or unmanned aerial vehicles (UAVs), and machine learning (ML) has significantly transformed precision agriculture. These advanced technologies provide farmers with accurate, cost-effective, and timely tools to manage crops and resources effectively. This paper evaluates the use of these techniques in precision agriculture, including their benefits, and effective applications. Remote sensing involves using satellites, aircraft, or drones to collect data on crops and the environment, such as soil moisture, temperature, and vegetation indices. With high-resolution images and three-dimensional maps of crops, UAVs enable farmers to identify and address issues like pest infestations or nutrient deficiencies. Machine learning algorithms analyze large amounts of data to predict crop yields, optimize irrigation and fertilization, and identify areas of the field that need attention. Several case studies highlight the effectiveness of these techniques in different agricultural settings. However, the paper also acknowledges the challenges associated with adopting these technologies, such as cost, data management, and regulatory issues. While the initial investment in drones and sensors may be high, the long-term benefits in terms of increased yields, reduced costs, and environmental sustainability are substantial. Farmers need to be trained in the use of these technologies to make informed decisions, and effective data management and analysis are crucial. Additionally, regulatory frameworks are still evolving, and clear guidelines are required for data privacy, safety, and ethical use. Although challenges remain, the benefits of increased productivity, reduced costs, and environmental sustainability make these technologies an attractive investment for farmers worldwide.]]> Tue, 25 Apr 2023 02:27:25 GMT /slideshow/remote-sensing-rs-uavdrones-and-machine-learning-ml-as-powerful-techniques-for-precision-agriculture-effective-applications-in-agriculture/257549440 nitinrane33@slideshare.net(nitinrane33) Remote Sensing (RS), UAV/drones, and Machine Learning (ML) as powerful techniques for precision agriculture: Effective applications in agriculture nitinrane33 Precision agriculture utilizes modern technology to optimize agricultural practices, resulting in increased productivity while reducing costs and environmental impact. The use of remote sensing (RS), drones or unmanned aerial vehicles (UAVs), and machine learning (ML) has significantly transformed precision agriculture. These advanced technologies provide farmers with accurate, cost-effective, and timely tools to manage crops and resources effectively. This paper evaluates the use of these techniques in precision agriculture, including their benefits, and effective applications. Remote sensing involves using satellites, aircraft, or drones to collect data on crops and the environment, such as soil moisture, temperature, and vegetation indices. With high-resolution images and three-dimensional maps of crops, UAVs enable farmers to identify and address issues like pest infestations or nutrient deficiencies. Machine learning algorithms analyze large amounts of data to predict crop yields, optimize irrigation and fertilization, and identify areas of the field that need attention. Several case studies highlight the effectiveness of these techniques in different agricultural settings. However, the paper also acknowledges the challenges associated with adopting these technologies, such as cost, data management, and regulatory issues. While the initial investment in drones and sensors may be high, the long-term benefits in terms of increased yields, reduced costs, and environmental sustainability are substantial. Farmers need to be trained in the use of these technologies to make informed decisions, and effective data management and analysis are crucial. Additionally, regulatory frameworks are still evolving, and clear guidelines are required for data privacy, safety, and ethical use. Although challenges remain, the benefits of increased productivity, reduced costs, and environmental sustainability make these technologies an attractive investment for farmers worldwide. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ranechoudhary2023-230425022725-31f05718-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Precision agriculture utilizes modern technology to optimize agricultural practices, resulting in increased productivity while reducing costs and environmental impact. The use of remote sensing (RS), drones or unmanned aerial vehicles (UAVs), and machine learning (ML) has significantly transformed precision agriculture. These advanced technologies provide farmers with accurate, cost-effective, and timely tools to manage crops and resources effectively. This paper evaluates the use of these techniques in precision agriculture, including their benefits, and effective applications. Remote sensing involves using satellites, aircraft, or drones to collect data on crops and the environment, such as soil moisture, temperature, and vegetation indices. With high-resolution images and three-dimensional maps of crops, UAVs enable farmers to identify and address issues like pest infestations or nutrient deficiencies. Machine learning algorithms analyze large amounts of data to predict crop yields, optimize irrigation and fertilization, and identify areas of the field that need attention. Several case studies highlight the effectiveness of these techniques in different agricultural settings. However, the paper also acknowledges the challenges associated with adopting these technologies, such as cost, data management, and regulatory issues. While the initial investment in drones and sensors may be high, the long-term benefits in terms of increased yields, reduced costs, and environmental sustainability are substantial. Farmers need to be trained in the use of these technologies to make informed decisions, and effective data management and analysis are crucial. Additionally, regulatory frameworks are still evolving, and clear guidelines are required for data privacy, safety, and ethical use. Although challenges remain, the benefits of increased productivity, reduced costs, and environmental sustainability make these technologies an attractive investment for farmers worldwide.
Remote Sensing (RS), UAV/drones, and Machine Learning (ML) as powerful techniques for precision agriculture: Effective applications in agriculture from nitinrane33
]]> 129 0 https://cdn.slidesharecdn.com/ss_thumbnails/ranechoudhary2023-230425022725-31f05718-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fuzzy AHP and Fuzzy TOPSIS as an effective and powerful Multi-Criteria Decision-Making (MCDM) method for subjective judgements in selection process /slideshow/fuzzy-ahp-and-fuzzy-topsis-as-an-effective-and-powerful-multicriteria-decisionmaking-mcdm-method-for-subjective-judgements-in-selection-process/257518625 ranechoudhary2023-230422174919-69512eda
This research suggests a robust and effective selection process that involves subjective judgments by applying two fuzzy-based multi-criteria decision-making methods, namely the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). These methods incorporate fuzzy set theory into traditional AHP and TOPSIS methods to handle uncertain criteria weights and evaluation scores. The Fuzzy AHP and Fuzzy TOPSIS techniques are particularly appropriate for selection processes that involve subjective evaluations and uncertainty. These methods are well-equipped to handle imprecise and uncertain information and can effectively deal with the complexity of multi-criteria decision-making problems. One of the significant advantages of these methods is their capacity to address both quantitative and qualitative criteria. By utilizing fuzzy set theory, these methods can integrate subjective criteria and expert judgments that may not be expressed in numerical values. Additionally, the Fuzzy AHP and Fuzzy TOPSIS approaches provide a methodical and structured approach to decision-making that guarantees consistency and transparency. This article offers a comprehensive theoretical framework of the Fuzzy AHP and Fuzzy TOPSIS methods and presents their application in selecting the best candidate for a job position. The findings indicate that this approach is valuable in handling subjective judgments and produces consistent and dependable outcomes. The article concludes by discussing the method's benefits and drawbacks and highlighting areas for future research.]]>
This research suggests a robust and effective selection process that involves subjective judgments by applying two fuzzy-based multi-criteria decision-making methods, namely the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). These methods incorporate fuzzy set theory into traditional AHP and TOPSIS methods to handle uncertain criteria weights and evaluation scores. The Fuzzy AHP and Fuzzy TOPSIS techniques are particularly appropriate for selection processes that involve subjective evaluations and uncertainty. These methods are well-equipped to handle imprecise and uncertain information and can effectively deal with the complexity of multi-criteria decision-making problems. One of the significant advantages of these methods is their capacity to address both quantitative and qualitative criteria. By utilizing fuzzy set theory, these methods can integrate subjective criteria and expert judgments that may not be expressed in numerical values. Additionally, the Fuzzy AHP and Fuzzy TOPSIS approaches provide a methodical and structured approach to decision-making that guarantees consistency and transparency. This article offers a comprehensive theoretical framework of the Fuzzy AHP and Fuzzy TOPSIS methods and presents their application in selecting the best candidate for a job position. The findings indicate that this approach is valuable in handling subjective judgments and produces consistent and dependable outcomes. The article concludes by discussing the method's benefits and drawbacks and highlighting areas for future research.]]> Sat, 22 Apr 2023 17:49:19 GMT /slideshow/fuzzy-ahp-and-fuzzy-topsis-as-an-effective-and-powerful-multicriteria-decisionmaking-mcdm-method-for-subjective-judgements-in-selection-process/257518625 nitinrane33@slideshare.net(nitinrane33) Fuzzy AHP and Fuzzy TOPSIS as an effective and powerful Multi-Criteria Decision-Making (MCDM) method for subjective judgements in selection process nitinrane33 This research suggests a robust and effective selection process that involves subjective judgments by applying two fuzzy-based multi-criteria decision-making methods, namely the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). These methods incorporate fuzzy set theory into traditional AHP and TOPSIS methods to handle uncertain criteria weights and evaluation scores. The Fuzzy AHP and Fuzzy TOPSIS techniques are particularly appropriate for selection processes that involve subjective evaluations and uncertainty. These methods are well-equipped to handle imprecise and uncertain information and can effectively deal with the complexity of multi-criteria decision-making problems. One of the significant advantages of these methods is their capacity to address both quantitative and qualitative criteria. By utilizing fuzzy set theory, these methods can integrate subjective criteria and expert judgments that may not be expressed in numerical values. Additionally, the Fuzzy AHP and Fuzzy TOPSIS approaches provide a methodical and structured approach to decision-making that guarantees consistency and transparency. This article offers a comprehensive theoretical framework of the Fuzzy AHP and Fuzzy TOPSIS methods and presents their application in selecting the best candidate for a job position. The findings indicate that this approach is valuable in handling subjective judgments and produces consistent and dependable outcomes. The article concludes by discussing the method's benefits and drawbacks and highlighting areas for future research. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ranechoudhary2023-230422174919-69512eda-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This research suggests a robust and effective selection process that involves subjective judgments by applying two fuzzy-based multi-criteria decision-making methods, namely the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). These methods incorporate fuzzy set theory into traditional AHP and TOPSIS methods to handle uncertain criteria weights and evaluation scores. The Fuzzy AHP and Fuzzy TOPSIS techniques are particularly appropriate for selection processes that involve subjective evaluations and uncertainty. These methods are well-equipped to handle imprecise and uncertain information and can effectively deal with the complexity of multi-criteria decision-making problems. One of the significant advantages of these methods is their capacity to address both quantitative and qualitative criteria. By utilizing fuzzy set theory, these methods can integrate subjective criteria and expert judgments that may not be expressed in numerical values. Additionally, the Fuzzy AHP and Fuzzy TOPSIS approaches provide a methodical and structured approach to decision-making that guarantees consistency and transparency. This article offers a comprehensive theoretical framework of the Fuzzy AHP and Fuzzy TOPSIS methods and presents their application in selecting the best candidate for a job position. The findings indicate that this approach is valuable in handling subjective judgments and produces consistent and dependable outcomes. The article concludes by discussing the method&#39;s benefits and drawbacks and highlighting areas for future research.
Fuzzy AHP and Fuzzy TOPSIS as an effective and powerful Multi-Criteria Decision-Making (MCDM) method for subjective judgements in selection process from nitinrane33
]]> 77 0 https://cdn.slidesharecdn.com/ss_thumbnails/ranechoudhary2023-230422174919-69512eda-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Effectiveness and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Land use and Land Cover (LULC) Change and Accuracy Assessment /slideshow/effectiveness-and-capability-of-remote-sensing-rs-and-geographic-information-systems-gis-a-powerful-tool-for-land-use-and-land-cover-lulc-change-and-accuracy-assessment/257472934 ijisrt23apr691-230419135918-3b669242
In this research paper, the effectiveness and capability of remote sensing (RS) and geographic information systems (GIS) are investigated as powerful tools for analyzing changes in land use and land cover (LULC), as well as for accuracy assessment. The study employs the literature of satellite imagery and GIS data to evaluate LULC changes over a period and to assess the accuracy of the analysis. Moreover, the research investigates the land use and land cover change detection analysis using RS and GIS, application of artificial intelligence (AI), and Machine Learning (ML) in LULC classification, environment and risk evaluation, stages of process LULC classification, factors affecting the LULC classification, accuracy assessment, and potential applications of RS and GIS in predicting future LULC changes and supporting decision-making processes. The findings of the study suggest that RS and GIS are highly effective and accurate for LULC analysis and assessment, with substantial potential for predicting and managing future changes in land use and land cover. The paper emphasizes the importance of utilizing RS and GIS techniques in the field of sustainable environmental management and resource planning.]]>
In this research paper, the effectiveness and capability of remote sensing (RS) and geographic information systems (GIS) are investigated as powerful tools for analyzing changes in land use and land cover (LULC), as well as for accuracy assessment. The study employs the literature of satellite imagery and GIS data to evaluate LULC changes over a period and to assess the accuracy of the analysis. Moreover, the research investigates the land use and land cover change detection analysis using RS and GIS, application of artificial intelligence (AI), and Machine Learning (ML) in LULC classification, environment and risk evaluation, stages of process LULC classification, factors affecting the LULC classification, accuracy assessment, and potential applications of RS and GIS in predicting future LULC changes and supporting decision-making processes. The findings of the study suggest that RS and GIS are highly effective and accurate for LULC analysis and assessment, with substantial potential for predicting and managing future changes in land use and land cover. The paper emphasizes the importance of utilizing RS and GIS techniques in the field of sustainable environmental management and resource planning.]]> Wed, 19 Apr 2023 13:59:18 GMT /slideshow/effectiveness-and-capability-of-remote-sensing-rs-and-geographic-information-systems-gis-a-powerful-tool-for-land-use-and-land-cover-lulc-change-and-accuracy-assessment/257472934 nitinrane33@slideshare.net(nitinrane33) Effectiveness and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Land use and Land Cover (LULC) Change and Accuracy Assessment nitinrane33 In this research paper, the effectiveness and capability of remote sensing (RS) and geographic information systems (GIS) are investigated as powerful tools for analyzing changes in land use and land cover (LULC), as well as for accuracy assessment. The study employs the literature of satellite imagery and GIS data to evaluate LULC changes over a period and to assess the accuracy of the analysis. Moreover, the research investigates the land use and land cover change detection analysis using RS and GIS, application of artificial intelligence (AI), and Machine Learning (ML) in LULC classification, environment and risk evaluation, stages of process LULC classification, factors affecting the LULC classification, accuracy assessment, and potential applications of RS and GIS in predicting future LULC changes and supporting decision-making processes. The findings of the study suggest that RS and GIS are highly effective and accurate for LULC analysis and assessment, with substantial potential for predicting and managing future changes in land use and land cover. The paper emphasizes the importance of utilizing RS and GIS techniques in the field of sustainable environmental management and resource planning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijisrt23apr691-230419135918-3b669242-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this research paper, the effectiveness and capability of remote sensing (RS) and geographic information systems (GIS) are investigated as powerful tools for analyzing changes in land use and land cover (LULC), as well as for accuracy assessment. The study employs the literature of satellite imagery and GIS data to evaluate LULC changes over a period and to assess the accuracy of the analysis. Moreover, the research investigates the land use and land cover change detection analysis using RS and GIS, application of artificial intelligence (AI), and Machine Learning (ML) in LULC classification, environment and risk evaluation, stages of process LULC classification, factors affecting the LULC classification, accuracy assessment, and potential applications of RS and GIS in predicting future LULC changes and supporting decision-making processes. The findings of the study suggest that RS and GIS are highly effective and accurate for LULC analysis and assessment, with substantial potential for predicting and managing future changes in land use and land cover. The paper emphasizes the importance of utilizing RS and GIS techniques in the field of sustainable environmental management and resource planning.
Effectiveness and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Land use and Land Cover (LULC) Change and Accuracy Assessment from nitinrane33
]]> 76 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijisrt23apr691-230419135918-3b669242-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Efficiency and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Sustainable Groundwater Management /slideshow/efficiency-and-capability-of-remote-sensing-rs-and-geographic-information-systems-gis-a-powerful-tool-for-sustainable-groundwater-management/257472900 ijisrt23apr690-230419135700-53de74b3
In this review paper, the potential of remote sensing (RS) and geographic information systems (GIS) for sustainable groundwater management and development is explored. Recent literature on the use of RS and GIS in groundwater resource management is analyzed, evaluating the efficiency and capability of these technologies throughout various stages of groundwater management. Challenges and limitations associated with their use are also highlighted, with potential solutions proposed to overcome them. Ultimately, the review concludes that RS and GIS are powerful tools for sustainable groundwater management and development, with significant benefits in terms of cost-effectiveness, accuracy, and time-efficiency. However, more research is needed to improve their integration in groundwater management and address current limitations. Overall, this review offers valuable insights into the potential of RS and GIS in sustainable groundwater management and development. ]]>
In this review paper, the potential of remote sensing (RS) and geographic information systems (GIS) for sustainable groundwater management and development is explored. Recent literature on the use of RS and GIS in groundwater resource management is analyzed, evaluating the efficiency and capability of these technologies throughout various stages of groundwater management. Challenges and limitations associated with their use are also highlighted, with potential solutions proposed to overcome them. Ultimately, the review concludes that RS and GIS are powerful tools for sustainable groundwater management and development, with significant benefits in terms of cost-effectiveness, accuracy, and time-efficiency. However, more research is needed to improve their integration in groundwater management and address current limitations. Overall, this review offers valuable insights into the potential of RS and GIS in sustainable groundwater management and development. ]]> Wed, 19 Apr 2023 13:57:00 GMT /slideshow/efficiency-and-capability-of-remote-sensing-rs-and-geographic-information-systems-gis-a-powerful-tool-for-sustainable-groundwater-management/257472900 nitinrane33@slideshare.net(nitinrane33) Efficiency and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Sustainable Groundwater Management nitinrane33 In this review paper, the potential of remote sensing (RS) and geographic information systems (GIS) for sustainable groundwater management and development is explored. Recent literature on the use of RS and GIS in groundwater resource management is analyzed, evaluating the efficiency and capability of these technologies throughout various stages of groundwater management. Challenges and limitations associated with their use are also highlighted, with potential solutions proposed to overcome them. Ultimately, the review concludes that RS and GIS are powerful tools for sustainable groundwater management and development, with significant benefits in terms of cost-effectiveness, accuracy, and time-efficiency. However, more research is needed to improve their integration in groundwater management and address current limitations. Overall, this review offers valuable insights into the potential of RS and GIS in sustainable groundwater management and development. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijisrt23apr690-230419135700-53de74b3-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this review paper, the potential of remote sensing (RS) and geographic information systems (GIS) for sustainable groundwater management and development is explored. Recent literature on the use of RS and GIS in groundwater resource management is analyzed, evaluating the efficiency and capability of these technologies throughout various stages of groundwater management. Challenges and limitations associated with their use are also highlighted, with potential solutions proposed to overcome them. Ultimately, the review concludes that RS and GIS are powerful tools for sustainable groundwater management and development, with significant benefits in terms of cost-effectiveness, accuracy, and time-efficiency. However, more research is needed to improve their integration in groundwater management and address current limitations. Overall, this review offers valuable insights into the potential of RS and GIS in sustainable groundwater management and development.
Efficiency and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Sustainable Groundwater Management from nitinrane33
]]> 42 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijisrt23apr690-230419135700-53de74b3-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multi-Criteria Decision-Making (MCDM) as a powerful tool for sustainable development: Effective applications of AHP, FAHP, TOPSIS, ELECTRE, and VIKOR in sustainability /slideshow/multicriteria-decisionmaking-mcdm-as-a-powerful-tool-for-sustainable-development-effective-applications-of-ahp-fahp-topsis-electre-and-vikor-in-sustainability/257452663 irjmets50400096060-april-230418103846-cc328cd3
In this research paper, the focus is on exploring the use of various powerful multi-criteria decision-making (MCDM) methods for sustainable development. The paper examines the effective utilization of a range of methods such as Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination Et Choix Traduisant la Realit¨¦ (ELECTRE), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) in the context of sustainability. The advantages and limitations of each method are discussed, and a comparative analysis of their effectiveness in decision-making for sustainable development is provided. Furthermore, the research paper delves into specific areas of sustainability, including construction, business, finance, accounting, industry, site selection, renewable energy, water resource management, water quality management, agriculture, and material selection. In addition, the paper highlights the importance of using hybrid MCDM methods in promoting sustainable development, which combines the strengths of different decision-making methods to provide more accurate and robust results. The overall aim of this research paper is to provide a comprehensive understanding of the different areas of sustainability and how MCDM methods can be utilized to achieve sustainable development. The study intends to contribute to the development of effective decision-making frameworks for sustainable development, providing insights for policymakers, researchers, and practitioners in the field of sustainability]]>
In this research paper, the focus is on exploring the use of various powerful multi-criteria decision-making (MCDM) methods for sustainable development. The paper examines the effective utilization of a range of methods such as Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination Et Choix Traduisant la Realit¨¦ (ELECTRE), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) in the context of sustainability. The advantages and limitations of each method are discussed, and a comparative analysis of their effectiveness in decision-making for sustainable development is provided. Furthermore, the research paper delves into specific areas of sustainability, including construction, business, finance, accounting, industry, site selection, renewable energy, water resource management, water quality management, agriculture, and material selection. In addition, the paper highlights the importance of using hybrid MCDM methods in promoting sustainable development, which combines the strengths of different decision-making methods to provide more accurate and robust results. The overall aim of this research paper is to provide a comprehensive understanding of the different areas of sustainability and how MCDM methods can be utilized to achieve sustainable development. The study intends to contribute to the development of effective decision-making frameworks for sustainable development, providing insights for policymakers, researchers, and practitioners in the field of sustainability]]> Tue, 18 Apr 2023 10:38:46 GMT /slideshow/multicriteria-decisionmaking-mcdm-as-a-powerful-tool-for-sustainable-development-effective-applications-of-ahp-fahp-topsis-electre-and-vikor-in-sustainability/257452663 nitinrane33@slideshare.net(nitinrane33) Multi-Criteria Decision-Making (MCDM) as a powerful tool for sustainable development: Effective applications of AHP, FAHP, TOPSIS, ELECTRE, and VIKOR in sustainability nitinrane33 In this research paper, the focus is on exploring the use of various powerful multi-criteria decision-making (MCDM) methods for sustainable development. The paper examines the effective utilization of a range of methods such as Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination Et Choix Traduisant la Realit¨¦ (ELECTRE), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) in the context of sustainability. The advantages and limitations of each method are discussed, and a comparative analysis of their effectiveness in decision-making for sustainable development is provided. Furthermore, the research paper delves into specific areas of sustainability, including construction, business, finance, accounting, industry, site selection, renewable energy, water resource management, water quality management, agriculture, and material selection. In addition, the paper highlights the importance of using hybrid MCDM methods in promoting sustainable development, which combines the strengths of different decision-making methods to provide more accurate and robust results. The overall aim of this research paper is to provide a comprehensive understanding of the different areas of sustainability and how MCDM methods can be utilized to achieve sustainable development. The study intends to contribute to the development of effective decision-making frameworks for sustainable development, providing insights for policymakers, researchers, and practitioners in the field of sustainability <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/irjmets50400096060-april-230418103846-cc328cd3-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this research paper, the focus is on exploring the use of various powerful multi-criteria decision-making (MCDM) methods for sustainable development. The paper examines the effective utilization of a range of methods such as Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination Et Choix Traduisant la Realit¨¦ (ELECTRE), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) in the context of sustainability. The advantages and limitations of each method are discussed, and a comparative analysis of their effectiveness in decision-making for sustainable development is provided. Furthermore, the research paper delves into specific areas of sustainability, including construction, business, finance, accounting, industry, site selection, renewable energy, water resource management, water quality management, agriculture, and material selection. In addition, the paper highlights the importance of using hybrid MCDM methods in promoting sustainable development, which combines the strengths of different decision-making methods to provide more accurate and robust results. The overall aim of this research paper is to provide a comprehensive understanding of the different areas of sustainability and how MCDM methods can be utilized to achieve sustainable development. The study intends to contribute to the development of effective decision-making frameworks for sustainable development, providing insights for policymakers, researchers, and practitioners in the field of sustainability
Multi-Criteria Decision-Making (MCDM) as a powerful tool for sustainable development: Effective applications of AHP, FAHP, TOPSIS, ELECTRE, and VIKOR in sustainability from nitinrane33
]]> 216 0 https://cdn.slidesharecdn.com/ss_thumbnails/irjmets50400096060-april-230418103846-cc328cd3-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Framework Towards Achieving Sustainable Strategies for Water Usage and Wastage in Building Construction /nitinrane33/framework-towards-achieving-sustainable-strategies-for-water-usage-and-wastage-in-building-construction achari2023-230326083352-b69b9325
Water usage and wastage management in the construction industry is the key to achieving active water efficiency. It is essential to use water conservation practices in the process of building construction as there is a huge amount of water being wasted and not recycled or reused. This study aims to evaluate the various criteria affecting water usage and wastage during the construction work of buildings, to identify sources of water wastage during building construction work, to evaluate water wastage quantity in residential building construction projects, and to suggest the methodology for the selection of the alternative methods, measures, and strategies to reduce water wastage. The research objective further enlightened the data collection and survey parameters to derive the results and discuss the measures that can be incorporated to cater to the issue's solution. The results derived from the questionnaire survey also helped to understand the existing ongoing practices of building construction in Mumbai City and derived the Mean Score Index (MSI) of the questionnaires along with the ranking of weightage of questions which then later helped in developing the measures and strategies of water management which can help to conserve water in building construction practice. Water management tools and techniques must be incorporated into various activities involved in the construction industry and other industries where water consumption and utilization are significantly higher. With ongoing concerns of Mumbai city for water-related issues, it is mandatory and very important to understand the usage and wastage of water in building construction in Mumbai City and derive the measures and strategies for the conservation of the same. ]]>
Water usage and wastage management in the construction industry is the key to achieving active water efficiency. It is essential to use water conservation practices in the process of building construction as there is a huge amount of water being wasted and not recycled or reused. This study aims to evaluate the various criteria affecting water usage and wastage during the construction work of buildings, to identify sources of water wastage during building construction work, to evaluate water wastage quantity in residential building construction projects, and to suggest the methodology for the selection of the alternative methods, measures, and strategies to reduce water wastage. The research objective further enlightened the data collection and survey parameters to derive the results and discuss the measures that can be incorporated to cater to the issue's solution. The results derived from the questionnaire survey also helped to understand the existing ongoing practices of building construction in Mumbai City and derived the Mean Score Index (MSI) of the questionnaires along with the ranking of weightage of questions which then later helped in developing the measures and strategies of water management which can help to conserve water in building construction practice. Water management tools and techniques must be incorporated into various activities involved in the construction industry and other industries where water consumption and utilization are significantly higher. With ongoing concerns of Mumbai city for water-related issues, it is mandatory and very important to understand the usage and wastage of water in building construction in Mumbai City and derive the measures and strategies for the conservation of the same. ]]> Sun, 26 Mar 2023 08:33:52 GMT /nitinrane33/framework-towards-achieving-sustainable-strategies-for-water-usage-and-wastage-in-building-construction nitinrane33@slideshare.net(nitinrane33) Framework Towards Achieving Sustainable Strategies for Water Usage and Wastage in Building Construction nitinrane33 Water usage and wastage management in the construction industry is the key to achieving active water efficiency. It is essential to use water conservation practices in the process of building construction as there is a huge amount of water being wasted and not recycled or reused. This study aims to evaluate the various criteria affecting water usage and wastage during the construction work of buildings, to identify sources of water wastage during building construction work, to evaluate water wastage quantity in residential building construction projects, and to suggest the methodology for the selection of the alternative methods, measures, and strategies to reduce water wastage. The research objective further enlightened the data collection and survey parameters to derive the results and discuss the measures that can be incorporated to cater to the issue's solution. The results derived from the questionnaire survey also helped to understand the existing ongoing practices of building construction in Mumbai City and derived the Mean Score Index (MSI) of the questionnaires along with the ranking of weightage of questions which then later helped in developing the measures and strategies of water management which can help to conserve water in building construction practice. Water management tools and techniques must be incorporated into various activities involved in the construction industry and other industries where water consumption and utilization are significantly higher. With ongoing concerns of Mumbai city for water-related issues, it is mandatory and very important to understand the usage and wastage of water in building construction in Mumbai City and derive the measures and strategies for the conservation of the same. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/achari2023-230326083352-b69b9325-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Water usage and wastage management in the construction industry is the key to achieving active water efficiency. It is essential to use water conservation practices in the process of building construction as there is a huge amount of water being wasted and not recycled or reused. This study aims to evaluate the various criteria affecting water usage and wastage during the construction work of buildings, to identify sources of water wastage during building construction work, to evaluate water wastage quantity in residential building construction projects, and to suggest the methodology for the selection of the alternative methods, measures, and strategies to reduce water wastage. The research objective further enlightened the data collection and survey parameters to derive the results and discuss the measures that can be incorporated to cater to the issue&#39;s solution. The results derived from the questionnaire survey also helped to understand the existing ongoing practices of building construction in Mumbai City and derived the Mean Score Index (MSI) of the questionnaires along with the ranking of weightage of questions which then later helped in developing the measures and strategies of water management which can help to conserve water in building construction practice. Water management tools and techniques must be incorporated into various activities involved in the construction industry and other industries where water consumption and utilization are significantly higher. With ongoing concerns of Mumbai city for water-related issues, it is mandatory and very important to understand the usage and wastage of water in building construction in Mumbai City and derive the measures and strategies for the conservation of the same.
Framework Towards Achieving Sustainable Strategies for Water Usage and Wastage in Building Construction from nitinrane33
]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/achari2023-230326083352-b69b9325-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 STUDY OF EFFECTS OF LABOUR PRODUCTIVITY ON CONSTRUCTION PROJECTS /slideshow/study-of-effects-of-labour-productivity-on-construction-projects/256847683 rane2017-230325184413-6cbed870
Productivity remains an intriguing subject and a dominant issue in the construction sector, promising cost savings and efficient usage of resources. Productivity is one of the most important issues in both developed and developing countries. The developed countries are aware of the importance of economic growth and social welfare. The developing countries which face unemployment problems, inflation and resource scarcity seek to utilise resources and in such a way as to achieve economic growth and improve citizens¡¯ lives. The aim of this thesis is to identify factors affecting labour productivity and also to study causes i.e. labour problems on site and its effects on the construction projects. Some of the important factors affecting labour productivity are: quality of site management, material shortage, timely payment of wages, labour experience, misunderstandings between labour and superintendent etc. The problems faced by the labour on Indian construction sites are dealt with in detail. Problems like non-availability of proper accommodation, basic amenities, low wages, safety related problems, security etc. dominate on almost all Indian construction sites. In our survey we have found that, specifically small firms in India are not able to fulfill labours¡¯ requirements. And that is why labour is not able to raise their productivity. In fact it is found that actual labour productivity ratios are reducing day by day, which in turns harms organization¡¯s profitability. In this study we will try to relate the ill effects of labour productivity this study restricts itself to the survey and research in the Indian context. Analysis of obtained data was done using different statistical methods. This report includes explanations on productivity, a case study, factors affecting labour productivity and the remedies for the same.]]>
Productivity remains an intriguing subject and a dominant issue in the construction sector, promising cost savings and efficient usage of resources. Productivity is one of the most important issues in both developed and developing countries. The developed countries are aware of the importance of economic growth and social welfare. The developing countries which face unemployment problems, inflation and resource scarcity seek to utilise resources and in such a way as to achieve economic growth and improve citizens¡¯ lives. The aim of this thesis is to identify factors affecting labour productivity and also to study causes i.e. labour problems on site and its effects on the construction projects. Some of the important factors affecting labour productivity are: quality of site management, material shortage, timely payment of wages, labour experience, misunderstandings between labour and superintendent etc. The problems faced by the labour on Indian construction sites are dealt with in detail. Problems like non-availability of proper accommodation, basic amenities, low wages, safety related problems, security etc. dominate on almost all Indian construction sites. In our survey we have found that, specifically small firms in India are not able to fulfill labours¡¯ requirements. And that is why labour is not able to raise their productivity. In fact it is found that actual labour productivity ratios are reducing day by day, which in turns harms organization¡¯s profitability. In this study we will try to relate the ill effects of labour productivity this study restricts itself to the survey and research in the Indian context. Analysis of obtained data was done using different statistical methods. This report includes explanations on productivity, a case study, factors affecting labour productivity and the remedies for the same.]]> Sat, 25 Mar 2023 18:44:13 GMT /slideshow/study-of-effects-of-labour-productivity-on-construction-projects/256847683 nitinrane33@slideshare.net(nitinrane33) STUDY OF EFFECTS OF LABOUR PRODUCTIVITY ON CONSTRUCTION PROJECTS nitinrane33 Productivity remains an intriguing subject and a dominant issue in the construction sector, promising cost savings and efficient usage of resources. Productivity is one of the most important issues in both developed and developing countries. The developed countries are aware of the importance of economic growth and social welfare. The developing countries which face unemployment problems, inflation and resource scarcity seek to utilise resources and in such a way as to achieve economic growth and improve citizens¡¯ lives. The aim of this thesis is to identify factors affecting labour productivity and also to study causes i.e. labour problems on site and its effects on the construction projects. Some of the important factors affecting labour productivity are: quality of site management, material shortage, timely payment of wages, labour experience, misunderstandings between labour and superintendent etc. The problems faced by the labour on Indian construction sites are dealt with in detail. Problems like non-availability of proper accommodation, basic amenities, low wages, safety related problems, security etc. dominate on almost all Indian construction sites. In our survey we have found that, specifically small firms in India are not able to fulfill labours¡¯ requirements. And that is why labour is not able to raise their productivity. In fact it is found that actual labour productivity ratios are reducing day by day, which in turns harms organization¡¯s profitability. In this study we will try to relate the ill effects of labour productivity this study restricts itself to the survey and research in the Indian context. Analysis of obtained data was done using different statistical methods. This report includes explanations on productivity, a case study, factors affecting labour productivity and the remedies for the same. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rane2017-230325184413-6cbed870-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Productivity remains an intriguing subject and a dominant issue in the construction sector, promising cost savings and efficient usage of resources. Productivity is one of the most important issues in both developed and developing countries. The developed countries are aware of the importance of economic growth and social welfare. The developing countries which face unemployment problems, inflation and resource scarcity seek to utilise resources and in such a way as to achieve economic growth and improve citizens¡¯ lives. The aim of this thesis is to identify factors affecting labour productivity and also to study causes i.e. labour problems on site and its effects on the construction projects. Some of the important factors affecting labour productivity are: quality of site management, material shortage, timely payment of wages, labour experience, misunderstandings between labour and superintendent etc. The problems faced by the labour on Indian construction sites are dealt with in detail. Problems like non-availability of proper accommodation, basic amenities, low wages, safety related problems, security etc. dominate on almost all Indian construction sites. In our survey we have found that, specifically small firms in India are not able to fulfill labours¡¯ requirements. And that is why labour is not able to raise their productivity. In fact it is found that actual labour productivity ratios are reducing day by day, which in turns harms organization¡¯s profitability. In this study we will try to relate the ill effects of labour productivity this study restricts itself to the survey and research in the Indian context. Analysis of obtained data was done using different statistical methods. This report includes explanations on productivity, a case study, factors affecting labour productivity and the remedies for the same.
STUDY OF EFFECTS OF LABOUR PRODUCTIVITY ON CONSTRUCTION PROJECTS from nitinrane33
]]> 61 0 https://cdn.slidesharecdn.com/ss_thumbnails/rane2017-230325184413-6cbed870-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Application of Value Engineering in Construction Projects /slideshow/application-of-value-engineering-in-construction-projects/256847666 rane2016-230325184111-ea08997f
Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on residential building as the sample project, practices of Value Engineering in this project are described.]]>
Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on residential building as the sample project, practices of Value Engineering in this project are described.]]> Sat, 25 Mar 2023 18:41:10 GMT /slideshow/application-of-value-engineering-in-construction-projects/256847666 nitinrane33@slideshare.net(nitinrane33) Application of Value Engineering in Construction Projects nitinrane33 Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on residential building as the sample project, practices of Value Engineering in this project are described. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rane2016-230325184111-ea08997f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on residential building as the sample project, practices of Value Engineering in this project are described.
Application of Value Engineering in Construction Projects from nitinrane33
]]> 207 0 https://cdn.slidesharecdn.com/ss_thumbnails/rane2016-230325184111-ea08997f-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Application of Value Engineering in Commercial Building Projects /slideshow/application-of-value-engineering-in-commercial-building-projects/256847647 rane2016-230325183825-ec88d77a
The current construction industry conditions have entailed the use of rational method and techniques and research and application of new techniques by utilizing advancements in technology in the field of production as well as in every field. Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on commercial building as the sample project, practices of Value Engineering in this project are described.]]>
The current construction industry conditions have entailed the use of rational method and techniques and research and application of new techniques by utilizing advancements in technology in the field of production as well as in every field. Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on commercial building as the sample project, practices of Value Engineering in this project are described.]]> Sat, 25 Mar 2023 18:38:24 GMT /slideshow/application-of-value-engineering-in-commercial-building-projects/256847647 nitinrane33@slideshare.net(nitinrane33) Application of Value Engineering in Commercial Building Projects nitinrane33 The current construction industry conditions have entailed the use of rational method and techniques and research and application of new techniques by utilizing advancements in technology in the field of production as well as in every field. Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on commercial building as the sample project, practices of Value Engineering in this project are described. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rane2016-230325183825-ec88d77a-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The current construction industry conditions have entailed the use of rational method and techniques and research and application of new techniques by utilizing advancements in technology in the field of production as well as in every field. Value Engineering is a proven management technique that can make valuable contributions to value enhancement and cost reduction in construction industry. Value Engineering is one of the most effective techniques known to identify and eliminate unnecessary costs in product design, testing, manufacturing, construction, operations, maintenance, data, procedures and practices. The methodology is composed of three main stages. The first stage is the Pre-Study of the Value Engineering. The purpose of this stage is to plan and organize the value study. Value Engineering is the systematic application of recognized techniques that identify the functions of the product or service, creatively establish the worth of those functions, and provide only the necessary functions to meet the required performance at the lowest overall cost. Value Engineering focuses on accomplishing the required functions at the lowest overall cost. It helps in eliminating or minimizing wastage of material, time, and unnecessary cost, which improves value to the customer. The second stage is the Value Study which is the core of Value Engineering study and it is composed of five phases, the Information phase, Function Analysis Phase, Creative Phase, Evaluation Phase and the Presentation phase. All phases and steps perform sequentially. Such sequence of the methodology is expected to assist in logical and systematic flow of the process to achieve the targets of the VE study. The third stage is the Post Study. The objective during post-study activities is to assure the implementation of the approved value study change recommendations. In this study, how the principles of Value Engineering are applied in construction projects is explained, and by taking case study on commercial building as the sample project, practices of Value Engineering in this project are described.
Application of Value Engineering in Commercial Building Projects from nitinrane33
]]> 50 0 https://cdn.slidesharecdn.com/ss_thumbnails/rane2016-230325183825-ec88d77a-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comparison of?multi?infuence factor, weight of?evidence and?frequency ratio techniques to?evaluate groundwater potential zones of?basaltic aquifer systems /slideshow/comparison-ofmultiinfuence-factor-weight-ofevidence-andfrequency-ratio-techniques-toevaluate-groundwater-potential-zones-ofbasaltic-aquifer-systems/256847637 rane2022-230325183702-c13274d5
Groundwater is the largest available reservoir of freshwater. But the rapid increase in the population and urbanisation, has led to over exploitation of groundwater which imposed tremendous pressure on global groundwater resources. Because of the hidden and dynamic nature of groundwater, it requires appropriate quantifcation for the formulation of ground- water planning and management strategies. The present study evaluates the efcacy of geospatial technology based Multi Infuence Factor (MIF), Weight of Evidence (WofE) and Frequency Ratio (FR) technique to evaluate groundwater potential using a case study of basaltic terrain. The thematic layers infuencing the groundwater occurrence viz. rain- fall, slope, geomorphology, soil type, land use, drainage density, lineament density, and elevation were prepared using satellite images, hydrologic, hydrogeologic and relevant feld data. Based on the conceptual frameworks of MIF, WofE and FR techniques these thematic layers and their features were assigned with appropriate weight and then inte- grated in the ArcGIS platform for the generation of aggregated raster layer which portray the groundwater potential zones. The results of validation showed that the groundwater potential delineated using MIF technique has a prediction accuracy of 81.94%, followed by WofE technique (76.19%) and FR techniques (71.43%). It is concluded that for evaluation of groundwater potential, the MIF technique is most reliable, followed by the WofE tech- nique. The evaluated groundwater potential zones are useful as a scientifc guide to identify the suitable location of wells and recharge structure in a cost-efcient way and also for the development of structured and pragmatic groundwater management strategies.]]>
Groundwater is the largest available reservoir of freshwater. But the rapid increase in the population and urbanisation, has led to over exploitation of groundwater which imposed tremendous pressure on global groundwater resources. Because of the hidden and dynamic nature of groundwater, it requires appropriate quantifcation for the formulation of ground- water planning and management strategies. The present study evaluates the efcacy of geospatial technology based Multi Infuence Factor (MIF), Weight of Evidence (WofE) and Frequency Ratio (FR) technique to evaluate groundwater potential using a case study of basaltic terrain. The thematic layers infuencing the groundwater occurrence viz. rain- fall, slope, geomorphology, soil type, land use, drainage density, lineament density, and elevation were prepared using satellite images, hydrologic, hydrogeologic and relevant feld data. Based on the conceptual frameworks of MIF, WofE and FR techniques these thematic layers and their features were assigned with appropriate weight and then inte- grated in the ArcGIS platform for the generation of aggregated raster layer which portray the groundwater potential zones. The results of validation showed that the groundwater potential delineated using MIF technique has a prediction accuracy of 81.94%, followed by WofE technique (76.19%) and FR techniques (71.43%). It is concluded that for evaluation of groundwater potential, the MIF technique is most reliable, followed by the WofE tech- nique. The evaluated groundwater potential zones are useful as a scientifc guide to identify the suitable location of wells and recharge structure in a cost-efcient way and also for the development of structured and pragmatic groundwater management strategies.]]> Sat, 25 Mar 2023 18:37:02 GMT /slideshow/comparison-ofmultiinfuence-factor-weight-ofevidence-andfrequency-ratio-techniques-toevaluate-groundwater-potential-zones-ofbasaltic-aquifer-systems/256847637 nitinrane33@slideshare.net(nitinrane33) Comparison of?multi?infuence factor, weight of?evidence and?frequency ratio techniques to?evaluate groundwater potential zones of?basaltic aquifer systems nitinrane33 Groundwater is the largest available reservoir of freshwater. But the rapid increase in the population and urbanisation, has led to over exploitation of groundwater which imposed tremendous pressure on global groundwater resources. Because of the hidden and dynamic nature of groundwater, it requires appropriate quantifcation for the formulation of ground- water planning and management strategies. The present study evaluates the efcacy of geospatial technology based Multi Infuence Factor (MIF), Weight of Evidence (WofE) and Frequency Ratio (FR) technique to evaluate groundwater potential using a case study of basaltic terrain. The thematic layers infuencing the groundwater occurrence viz. rain- fall, slope, geomorphology, soil type, land use, drainage density, lineament density, and elevation were prepared using satellite images, hydrologic, hydrogeologic and relevant feld data. Based on the conceptual frameworks of MIF, WofE and FR techniques these thematic layers and their features were assigned with appropriate weight and then inte- grated in the ArcGIS platform for the generation of aggregated raster layer which portray the groundwater potential zones. The results of validation showed that the groundwater potential delineated using MIF technique has a prediction accuracy of 81.94%, followed by WofE technique (76.19%) and FR techniques (71.43%). It is concluded that for evaluation of groundwater potential, the MIF technique is most reliable, followed by the WofE tech- nique. The evaluated groundwater potential zones are useful as a scientifc guide to identify the suitable location of wells and recharge structure in a cost-efcient way and also for the development of structured and pragmatic groundwater management strategies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rane2022-230325183702-c13274d5-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Groundwater is the largest available reservoir of freshwater. But the rapid increase in the population and urbanisation, has led to over exploitation of groundwater which imposed tremendous pressure on global groundwater resources. Because of the hidden and dynamic nature of groundwater, it requires appropriate quantifcation for the formulation of ground- water planning and management strategies. The present study evaluates the efcacy of geospatial technology based Multi Infuence Factor (MIF), Weight of Evidence (WofE) and Frequency Ratio (FR) technique to evaluate groundwater potential using a case study of basaltic terrain. The thematic layers infuencing the groundwater occurrence viz. rain- fall, slope, geomorphology, soil type, land use, drainage density, lineament density, and elevation were prepared using satellite images, hydrologic, hydrogeologic and relevant feld data. Based on the conceptual frameworks of MIF, WofE and FR techniques these thematic layers and their features were assigned with appropriate weight and then inte- grated in the ArcGIS platform for the generation of aggregated raster layer which portray the groundwater potential zones. The results of validation showed that the groundwater potential delineated using MIF technique has a prediction accuracy of 81.94%, followed by WofE technique (76.19%) and FR techniques (71.43%). It is concluded that for evaluation of groundwater potential, the MIF technique is most reliable, followed by the WofE tech- nique. The evaluated groundwater potential zones are useful as a scientifc guide to identify the suitable location of wells and recharge structure in a cost-efcient way and also for the development of structured and pragmatic groundwater management strategies.
Comparison of multi¸MÔVnfuence factor, weight of evidence and frequency ratio techniques to evaluate groundwater potential zones of basaltic aquifer systems from nitinrane33
]]> 18 0 https://cdn.slidesharecdn.com/ss_thumbnails/rane2022-230325183702-c13274d5-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Evaluating the Selection Criteria of Formwork System (FS) for RCC Building Construction /slideshow/evaluating-the-selection-criteria-of-formwork-system-fs-for-rcc-building-construction/256847622 rane2023-230325183424-42dfe63a
Formwork System (FS) selection for reinforced cement concrete (RCC) members is a crucial factor in finishing the project successfully, as it is necessary for improved productivity and faster construction of the projects. The present study assessed the criteria influencing the formwork system selection in the construction of residential buildings. From the literature and past studies conducted on selecting the formwork system, a total of 24 influencing factors were identified. The formwork suitability is analyzed using Statistical Package for Social Sciences (SPSS). Furthermore, using the performance indicators used in the formwork system analysis, a total of 5 influencing factors were indicated as being the primary determinant of formwork selection. The remaining 19 factors were omitted because they did not have a major influence. The surface finish, capital cost, durability, labor cost, repetition, and wastage are the top 5 factors which are identified as having a significant impact on formwork system selection. This study examines the different existing formwork technology with recently invented FS, such as aluminum formwork and the jump formwork system, that are not often used in India, to determine which formwork system is most effective and appropriate for the projects under consideration. To better understand this, the hypothetical building projects employing traditional formwork were considered to compare newly developed formwork with conventional formwork systems considering the key selection criteria analyzed. The results offer a better understanding of the influencing factor affecting the formwork system selection in Mumbai City. They will help construction professionals improve productivity in terms of cost saving faster construction, expanding the existing knowledge regarding formwork selection systems, and decreasing formwork waste.]]>
Formwork System (FS) selection for reinforced cement concrete (RCC) members is a crucial factor in finishing the project successfully, as it is necessary for improved productivity and faster construction of the projects. The present study assessed the criteria influencing the formwork system selection in the construction of residential buildings. From the literature and past studies conducted on selecting the formwork system, a total of 24 influencing factors were identified. The formwork suitability is analyzed using Statistical Package for Social Sciences (SPSS). Furthermore, using the performance indicators used in the formwork system analysis, a total of 5 influencing factors were indicated as being the primary determinant of formwork selection. The remaining 19 factors were omitted because they did not have a major influence. The surface finish, capital cost, durability, labor cost, repetition, and wastage are the top 5 factors which are identified as having a significant impact on formwork system selection. This study examines the different existing formwork technology with recently invented FS, such as aluminum formwork and the jump formwork system, that are not often used in India, to determine which formwork system is most effective and appropriate for the projects under consideration. To better understand this, the hypothetical building projects employing traditional formwork were considered to compare newly developed formwork with conventional formwork systems considering the key selection criteria analyzed. The results offer a better understanding of the influencing factor affecting the formwork system selection in Mumbai City. They will help construction professionals improve productivity in terms of cost saving faster construction, expanding the existing knowledge regarding formwork selection systems, and decreasing formwork waste.]]> Sat, 25 Mar 2023 18:34:24 GMT /slideshow/evaluating-the-selection-criteria-of-formwork-system-fs-for-rcc-building-construction/256847622 nitinrane33@slideshare.net(nitinrane33) Evaluating the Selection Criteria of Formwork System (FS) for RCC Building Construction nitinrane33 Formwork System (FS) selection for reinforced cement concrete (RCC) members is a crucial factor in finishing the project successfully, as it is necessary for improved productivity and faster construction of the projects. The present study assessed the criteria influencing the formwork system selection in the construction of residential buildings. From the literature and past studies conducted on selecting the formwork system, a total of 24 influencing factors were identified. The formwork suitability is analyzed using Statistical Package for Social Sciences (SPSS). Furthermore, using the performance indicators used in the formwork system analysis, a total of 5 influencing factors were indicated as being the primary determinant of formwork selection. The remaining 19 factors were omitted because they did not have a major influence. The surface finish, capital cost, durability, labor cost, repetition, and wastage are the top 5 factors which are identified as having a significant impact on formwork system selection. This study examines the different existing formwork technology with recently invented FS, such as aluminum formwork and the jump formwork system, that are not often used in India, to determine which formwork system is most effective and appropriate for the projects under consideration. To better understand this, the hypothetical building projects employing traditional formwork were considered to compare newly developed formwork with conventional formwork systems considering the key selection criteria analyzed. The results offer a better understanding of the influencing factor affecting the formwork system selection in Mumbai City. They will help construction professionals improve productivity in terms of cost saving faster construction, expanding the existing knowledge regarding formwork selection systems, and decreasing formwork waste. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rane2023-230325183424-42dfe63a-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Formwork System (FS) selection for reinforced cement concrete (RCC) members is a crucial factor in finishing the project successfully, as it is necessary for improved productivity and faster construction of the projects. The present study assessed the criteria influencing the formwork system selection in the construction of residential buildings. From the literature and past studies conducted on selecting the formwork system, a total of 24 influencing factors were identified. The formwork suitability is analyzed using Statistical Package for Social Sciences (SPSS). Furthermore, using the performance indicators used in the formwork system analysis, a total of 5 influencing factors were indicated as being the primary determinant of formwork selection. The remaining 19 factors were omitted because they did not have a major influence. The surface finish, capital cost, durability, labor cost, repetition, and wastage are the top 5 factors which are identified as having a significant impact on formwork system selection. This study examines the different existing formwork technology with recently invented FS, such as aluminum formwork and the jump formwork system, that are not often used in India, to determine which formwork system is most effective and appropriate for the projects under consideration. To better understand this, the hypothetical building projects employing traditional formwork were considered to compare newly developed formwork with conventional formwork systems considering the key selection criteria analyzed. The results offer a better understanding of the influencing factor affecting the formwork system selection in Mumbai City. They will help construction professionals improve productivity in terms of cost saving faster construction, expanding the existing knowledge regarding formwork selection systems, and decreasing formwork waste.
Evaluating the Selection Criteria of Formwork System (FS) for RCC Building Construction from nitinrane33
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