The document discusses several quality tools and techniques used for data collection and analysis, including check sheets, histograms, Pareto charts, scatter plots, flowcharts, cause and effect diagrams, control charts, and several new management and planning tools such as affinity diagrams, interrelationship digraphs, process decision program charts, tree diagrams, matrix diagrams, activity network diagrams, and prioritization matrices. These tools help visualize problems, identify causes and relationships, plan processes, and make better decisions.
The document describes 7 quality control tools: affinity diagram, relations diagram, tree diagram, matrix diagram, arrow diagram, and plan decision program chart. It provides details on how each tool is used, including examples, and discusses when each tool should be applied based on the type of problem or data being analyzed. The tools are designed to help organize information, identify relationships, schedule processes, and anticipate potential problems.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
Quality control methods and important parameters forming these methods.Quality control is important concept in quality management. Quality management is an approach used in industry to manage operations and producing best quality products with minimum producer cost.
Quality Control tool Quality Control tool220216.pptAbdelrhman Abooda
油
The document discusses the seven basic quality control tools used to improve product quality: check sheet, Pareto chart, cause-and-effect diagram, histogram, scatter diagram, flow chart, and control chart. These tools use statistical techniques to collect and analyze data in order to identify problems, control fluctuations, and provide solutions. They help organize data for easy understanding and analysis to improve processes. Each tool is described in terms of its purpose, construction, and examples.
The seven traditional tools of quality New management tools Six-sigma: Concepts, methodology, applications
to manufacturing, service sector including IT Bench marking Reason to bench mark, Bench marking process
FMEA Stages, Types
The document discusses various quality management tools and techniques, including the seven traditional quality tools, Six Sigma methodology, and new management tools. It provides details on each tool, including definitions, examples, and uses. The seven traditional quality tools described are flow chart, check sheet, cause and effect diagram, Pareto chart, control chart, histogram, and scatter diagram. Six Sigma follows the DMAIC methodology of define, measure, analyze, improve, and control. The seven new management tools discussed are affinity diagram, interrelations diagram, tree diagram, matrix diagram, arrow diagram, and process decision program chart.
The document discusses 7 planning tools used in Total Quality Management (TQM): fishbone diagram, Pareto chart, checksheet, histogram, control charts, scatter diagram, and flow charts. It provides descriptions of each tool, including what they are used for and how to construct them. The fishbone diagram is used to identify and relate causes of a problem. The Pareto chart identifies the most important causes to address. The checksheet collects quantitative or qualitative data. Histograms show the distribution of data, and control charts monitor process stability. Scatter diagrams show relationships between variables. Flow charts map out process steps.
This document discusses quality assurance in project management. It provides definitions of quality and lists six quality control goals for managing projects. It outlines five techniques for discovering potential project problems, including cause/effect matrix, creative techniques, process mapping, simulation, and value analysis. It also defines the role of a project analyst and identifies skills and responsibilities for quality analysis. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional quality-related topics.
This document discusses quality software project management. It provides an overview of useful tools, strategies, and resources for quality software project management including forms, ebooks, templates, KPIs, and interview questions. It also summarizes the contents of a book on quality software project management that discusses best practices, the software development lifecycle, and case studies. Finally, it lists and briefly describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others.
This document provides an overview of key aspects of a software quality management plan, including its objectives, contents, and tools. It begins by stating that a quality management plan should specify the quality practices and processes to be followed during a project to ensure deliverables meet requirements. It then lists several common quality management tools that can be included in the plan such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document provides examples and descriptions of how each tool is used.
TQM-Unit 3-7-1 tools of quality-New.pptxTamilselvan S
油
This document provides an overview of various quality management tools and techniques, including the seven traditional tools of quality (flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts). It describes the purpose, construction, and relationship to the PDCA cycle for each tool. Additionally, it covers concepts of Six Sigma methodology, benchmarking, and failure mode and effects analysis (FMEA).
The document discusses quality management in project management. It provides an overview of quality management principles and guidelines for ensuring quality in projects based on ISO 10006. It also lists and describes several common quality management tools used in projects, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Finally, it mentions some additional topics related to quality management that have downloadable PDF resources.
A flowchart is a pictorial representation of an algorithm or process. It uses standard symbols to visually depict the steps of a process and the flow of data between those steps. Flowcharts help clarify processes, communicate logic, aid in effective analysis and problem solving, and serve as documentation for programs. While they make logic clear, flowcharts can become complex and costly for large programs, and difficult to modify or keep updated.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
The document discusses eight basic quality management tools: flowchart, cause and effect diagram, check sheet, histogram, Pareto chart, scatter diagram, stratification, and control charts. For each tool, it provides a brief description and discusses when the tool should be used, such as for documenting processes, identifying causes of problems, analyzing patterns in data, determining if variables are related, and controlling ongoing processes. The tools can help improve understanding, communication, problem-solving, and process management.
Data visualization is a technique used to communicate data through visual representations such as charts, graphs, and maps. It allows patterns, trends, and correlations in data to be recognized more easily than text-based representations. The history of data visualization dates back to 1160 BC with the Turin Papyrus Map, though it has evolved significantly with modern tools going beyond standard charts. Data visualization has advantages like faster comprehension and understanding connections, but also disadvantages like different interpretations among users and a false sense of understanding without explanations. It has applications in business, science, and many other domains.
This document introduces the seven new quality tools: affinity diagrams, interrelationship diagrams, tree diagrams, matrix diagrams, matrix data analysis, process decision program charts, and arrow diagrams. These tools organize and display information visually to structure group work, explore relationships between ideas, plan projects, and facilitate non-linear thinking. Examples of each tool are provided and explained.
This document discusses quality assurance project management. It provides resources on quality assurance project management forms, tools, and strategies. It also lists quality management KPIs, job descriptions, and interview questions. The document discusses reasons for project failures such as unclear requirements and lack of issue escalation. It then describes quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional quality assurance topics such as quality management systems and standards.
This document provides an introduction and overview of various quality control tools used in Total Quality Management (TQM). It defines TQM as a comprehensive organization-wide effort to improve quality of products and services. Key concepts covered include meeting customer requirements, doing things right the first time, consistency, and continuous improvement. Seven basic quality tools are introduced: cause and effect diagrams, check sheets, control charts, flow charts, histograms, Pareto diagrams, and scatter diagrams. Each tool is defined and its uses and procedures for implementation are described.
1. The document discusses various data visualization techniques including tables, charts like scatter plots, line charts and bar charts, and advanced visualizations like parallel coordinate plots and treemaps.
2. It explains best practices for table and chart design including minimizing non-data ink and aligning text and numbers.
3. Data dashboards are described as visualization tools that automatically update metrics and convey key performance indicators to users through techniques like size, position and color.
This document discusses various modeling techniques used in structured systems analysis, including:
1) Data flow diagrams and system flowcharts are used to model system functions and data flows.
2) Entity-relationship diagrams and data dictionaries are used to model stored data and define data elements.
3) The purpose of these modeling techniques is to provide precise, understandable definitions of the system to both users and developers.
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
The document discusses project management quality and provides resources on the topic. It discusses the role of quality management in project management and examines international perspectives on quality practices. It also outlines several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can help identify sources of variation and determine whether processes are statistically in control.
New Quality Tools in total quality managementTamilselvan S
油
1. The document describes seven new quality tools including affinity diagrams, interrelationship diagrams, tree diagrams, matrix diagrams, and decision trees. These tools help organize ideas, identify relationships, break broad concepts into details, and evaluate alternatives.
2. An example affinity diagram is provided showing how a group organized 15 problems from brainstorming into logical groupings.
3. Interrelationship diagrams identify causal relationships among concepts to distinguish drivers from outcomes. An example shows the relationships between strategic factors.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
Material management is the process of planning, sourcing, storing, and controlling materials to ensure efficient production and cost-effectiveness. It helps in optimizing inventory, reducing waste, and maintaining a smooth supply chain.
More Related Content
Similar to Quality Tools & Techniques Presentation.pptx (20)
This document discusses quality assurance in project management. It provides definitions of quality and lists six quality control goals for managing projects. It outlines five techniques for discovering potential project problems, including cause/effect matrix, creative techniques, process mapping, simulation, and value analysis. It also defines the role of a project analyst and identifies skills and responsibilities for quality analysis. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional quality-related topics.
This document discusses quality software project management. It provides an overview of useful tools, strategies, and resources for quality software project management including forms, ebooks, templates, KPIs, and interview questions. It also summarizes the contents of a book on quality software project management that discusses best practices, the software development lifecycle, and case studies. Finally, it lists and briefly describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others.
This document provides an overview of key aspects of a software quality management plan, including its objectives, contents, and tools. It begins by stating that a quality management plan should specify the quality practices and processes to be followed during a project to ensure deliverables meet requirements. It then lists several common quality management tools that can be included in the plan such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document provides examples and descriptions of how each tool is used.
TQM-Unit 3-7-1 tools of quality-New.pptxTamilselvan S
油
This document provides an overview of various quality management tools and techniques, including the seven traditional tools of quality (flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts). It describes the purpose, construction, and relationship to the PDCA cycle for each tool. Additionally, it covers concepts of Six Sigma methodology, benchmarking, and failure mode and effects analysis (FMEA).
The document discusses quality management in project management. It provides an overview of quality management principles and guidelines for ensuring quality in projects based on ISO 10006. It also lists and describes several common quality management tools used in projects, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Finally, it mentions some additional topics related to quality management that have downloadable PDF resources.
A flowchart is a pictorial representation of an algorithm or process. It uses standard symbols to visually depict the steps of a process and the flow of data between those steps. Flowcharts help clarify processes, communicate logic, aid in effective analysis and problem solving, and serve as documentation for programs. While they make logic clear, flowcharts can become complex and costly for large programs, and difficult to modify or keep updated.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
The document discusses eight basic quality management tools: flowchart, cause and effect diagram, check sheet, histogram, Pareto chart, scatter diagram, stratification, and control charts. For each tool, it provides a brief description and discusses when the tool should be used, such as for documenting processes, identifying causes of problems, analyzing patterns in data, determining if variables are related, and controlling ongoing processes. The tools can help improve understanding, communication, problem-solving, and process management.
Data visualization is a technique used to communicate data through visual representations such as charts, graphs, and maps. It allows patterns, trends, and correlations in data to be recognized more easily than text-based representations. The history of data visualization dates back to 1160 BC with the Turin Papyrus Map, though it has evolved significantly with modern tools going beyond standard charts. Data visualization has advantages like faster comprehension and understanding connections, but also disadvantages like different interpretations among users and a false sense of understanding without explanations. It has applications in business, science, and many other domains.
This document introduces the seven new quality tools: affinity diagrams, interrelationship diagrams, tree diagrams, matrix diagrams, matrix data analysis, process decision program charts, and arrow diagrams. These tools organize and display information visually to structure group work, explore relationships between ideas, plan projects, and facilitate non-linear thinking. Examples of each tool are provided and explained.
This document discusses quality assurance project management. It provides resources on quality assurance project management forms, tools, and strategies. It also lists quality management KPIs, job descriptions, and interview questions. The document discusses reasons for project failures such as unclear requirements and lack of issue escalation. It then describes quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional quality assurance topics such as quality management systems and standards.
This document provides an introduction and overview of various quality control tools used in Total Quality Management (TQM). It defines TQM as a comprehensive organization-wide effort to improve quality of products and services. Key concepts covered include meeting customer requirements, doing things right the first time, consistency, and continuous improvement. Seven basic quality tools are introduced: cause and effect diagrams, check sheets, control charts, flow charts, histograms, Pareto diagrams, and scatter diagrams. Each tool is defined and its uses and procedures for implementation are described.
1. The document discusses various data visualization techniques including tables, charts like scatter plots, line charts and bar charts, and advanced visualizations like parallel coordinate plots and treemaps.
2. It explains best practices for table and chart design including minimizing non-data ink and aligning text and numbers.
3. Data dashboards are described as visualization tools that automatically update metrics and convey key performance indicators to users through techniques like size, position and color.
This document discusses various modeling techniques used in structured systems analysis, including:
1) Data flow diagrams and system flowcharts are used to model system functions and data flows.
2) Entity-relationship diagrams and data dictionaries are used to model stored data and define data elements.
3) The purpose of these modeling techniques is to provide precise, understandable definitions of the system to both users and developers.
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
The document discusses project management quality and provides resources on the topic. It discusses the role of quality management in project management and examines international perspectives on quality practices. It also outlines several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can help identify sources of variation and determine whether processes are statistically in control.
New Quality Tools in total quality managementTamilselvan S
油
1. The document describes seven new quality tools including affinity diagrams, interrelationship diagrams, tree diagrams, matrix diagrams, and decision trees. These tools help organize ideas, identify relationships, break broad concepts into details, and evaluate alternatives.
2. An example affinity diagram is provided showing how a group organized 15 problems from brainstorming into logical groupings.
3. Interrelationship diagrams identify causal relationships among concepts to distinguish drivers from outcomes. An example shows the relationships between strategic factors.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
Material management is the process of planning, sourcing, storing, and controlling materials to ensure efficient production and cost-effectiveness. It helps in optimizing inventory, reducing waste, and maintaining a smooth supply chain.
Traktor is a popular DJ software developed by Native Instruments, designed for professional DJs, music producers, and anyone looking to mix and manipulate audio tracks. It offers powerful tools for live performances, studio mixing, and creating custom soundscapes. Traktor is known for its robust feature set, intuitive interface, and excellent integration with hardware controllers and audio equipment.
Please Copy This Direct Download Link Below
https://postcrack.org/download-setup/
Note: >> Please copy the link and paste it into Google New Tab now Download link
Key Features of Traktor:
1. Advanced Mixing and Cueing
Multiple Decks: Traktor supports up to 4 decks, allowing you to mix and manipulate multiple tracks simultaneously. Each deck can be customized with its own settings and effects.
Cue Points: DJs can set multiple cue points within tracks to quickly jump to specific parts of the
LESSON 10 STABLISHING VALIDITY AND REALBILITY OF RESEARCH INSTRUMENT- DAGAM...dagamijessamaedagle
油
Reliability and Validity
Quantitative Methodology
Reliability and validity are important aspects of selecting a survey instrument. Reliability refers to the extent that the instrument yields the same results over multiple trials. Validity refers to how well the instrument measures what you intend it to measure. In research, there are three ways to approach validity and they include content validity, construct validity, and criterion-related validity.
Content validity evaluates how well the items on the scale represent or measure the information you intend to assess. Do the questions you ask represent all the possible questions you could ask?
Construct validity measures what the calculated scores represent and whether you can generalize them. Construct validity uses statistical analyses, such as correlations, to verify the relevance of the questions. You can correlate questions from an existing, reliable instrument with questions from the instrument under examination to determine if construct validity is present. High correlation between the scores indicates convergent validity. If you establish convergent validity, you support construct validity.
Criterion-related validity refers to how well the instruments scores predict a known outcome that you expect them to predict. You use statistical analyses, such as correlations, to determine if criterion-related validity exists. You should correlate scores from the instrument with an item they knew to predict. If a correlation of > .60 exists, criterion related validity exists as well.
You can assess reliability using the test-retest method, alternative form method, internal consistency method, split-halves method, and inter-rater reliability.
Test-retest is a method that administers the same instrument to the same sample at two different points in time, perhaps one year intervals. If you find that the scores at both time periods correlate highly (> .60), you can consider them reliable. The alternative form method requires two different instruments consisting of similar content. You must have the same sample take both instruments, and then you correlate the scores from both instruments. If you find high correlations, you can consider the instrument reliable. Internal consistency uses one instrument administered only once.
You use the coefficient alpha (or Cronbachs alpha) to assess the internal consistency of the items. If the alpha value is .70 or higher, you can consider the instrument reliable. The split-halves method also requires one test administered once. The number of items in the scale are divided into halves and a correlation is taken to estimate the reliability of each half of the test. To estimate the reliability of the entire survey, the Spearman-Brown correction must be applied. Inter-rater reliability involves comparing the observations of two or more individuals and assessing the agreement of the observations. Kappa values can be calculated in this instance. Question
The PPT provides nutshell amount of information required for a group work process and why each phase is important with reference attached for complete understanding. Hence you would get to know with this group work process explained can be applied to any target people.
Strategic management presentation is the comprehensive collection of ongoing ...dagamijessamaedagle
油
Strategic thinking is simply an intentional and rational thought process that focuses on the analysis of critical factors and variables that will influence the long-term success of a business, a team, or an individual.
Strategic thinking includes careful and deliberate anticipation of threats and vulnerabilities to guard against and opportunities to pursue. Ultimately strategic thinking and analysis lead to a clear set of goals, plans, and new ideas required to survive and thrive in a competitive, changing environment. This sort of thinking must account for economic realities, market forces, and available resources.
Strategic thinking requires research, analytical thinking, innovation, problem-solving skills, communication and leadership skills, and decisiveness.
how to improve strategic thinking skillsWhy is Strategic Thinking Important?
The competitive landscape can change quickly for any organization. New trends may emerge quickly and require you to take advantage of them or fall behind. By incorporating everyday strategic thinking into your work and life routines, you will become more skilled at anticipating, forecasting, and capitalizing on opportunities.
On an individual level, thinking strategically allows you to make a greater contribution in your role, become more essential to your organization, and prove that youre ready to control greater resources.
What is Strategic Thinking in Business?
During an organizations annual strategic planning process, leaders often compile, analyze, and synthesize external and internal data and ideas to develop its strategic intent and build a strategic narrative. This document will guide the company into the future for a defined period of time. Leaders then choose and plan specific actions that will accomplish these strategic initiatives.
Businesses also need to schedule a time for strategic thinking and reviews throughout the year. Leadership teams should periodically examine their strategic initiatives to ensure execution is taking place, review, and sustain the effort across the organization.
What is Strategic Thinking in Leadership?
Business leaders and stakeholders use strategic thinking and analysis to decide what product mix theyll offer, what competitive landscape to compete in (or not compete in), and how limited resources will be allocated such as time, employees, and capital. They must decide how to best structure enroll others to achieve important objectives and to avoid putting resources at unnecessary risk of loss.
What are the Components of Strategic Thinking?
If youre working on your companys strategy, youll need to engage in analysis, problem-solving, decision making, and leading through change.
As you create a strategic direction or plan, youll analyze:
Business opportunities and vulnerabilities
Feasible of each idea or risk
The costs associated with each move you are considering
The likelihood that various tactics will be effective
Methods of aligning objectives with the
Tran Quoc Bao Leading Chief Executive Officer CEO in Vietnam Healthcare -the ...Ignite Capital
油
Tran Quoc Bao: The Visionary Transforming Vietnams Healthcare Landscape
Tran Quoc Bao, CEO of Prima Saigon, stands as one of Vietnams most influential healthcare leaders, making a profound mark on the countrys healthcare sector and beyond. As the first Vietnamese member of the Advisory Panel for the Asian Hospital & Healthcare Management, Bao shapes global healthcare trends. Under his leadership, Prima Saigon has become the benchmark for excellence in international daycare and ambulatory services.
With nearly two decades of experience at the crossroads of healthcare and finance, Bao is not only a clinical innovator but also a master strategist. He has held leadership roles at prominent institutions like City International Hospital, FV Hospital, and TMMC Healthcare (Tam Tri Hospital Group), as well as international experience at The Alfred Hospital in Australia. His crowning achievement was leading Cao Tang Hospital through its transformation into Vietnams first Joint Commission International (JCI)-accredited hospitalan achievement that propelled Vietnams healthcare system onto the global stage.
Baos influence reaches far beyond his clinical expertise. Armed with elite financial credentialsCFA速, CMT速, CPWA速, and FMVA速he has directed over $2 billion in healthcare mergers and acquisitions, fundamentally reshaping the countrys healthcare investment landscape. His rare ability to merge healthcare innovation with financial insight has earned him widespread recognition as a thought leader in the sector.
A prolific writer, Bao has contributed over 20 articles to leading publications such as Bloomberg, Forbes, and US News, offering valuable perspectives on healthcare investment and innovation. His insights have made him a sought-after authority globally. He has also received numerous accolades, including "Healthcare Executive of the Year Vietnam 2021" and Medical Tourism Leader of the Year 2021 from Medical Excellence Japan.
Beyond his leadership at Prima Saigon, Bao advises global consulting giants like BCG, Bain, and McKinsey on strategic healthcare investments and partnerships. His unparalleled expertise continues to shape the future of healthcare in Asia and around the world, solidifying his legacy as one of the most influential healthcare leaders in Vietnam.
he Circular Economy Industrial Cluster Ecosystem is a sustainable framework that promotes resource efficiency, waste reduction, and industrial symbiosis among interconnected industries. It focuses on closed-loop production systems, where waste from one industry serves as raw material for another, minimizing environmental impact
project management tool is specifically designed for project managers, offeri...rowevel861
油
This project management tool is specifically designed for project managers, offering a comprehensive suite of features to streamline planning, execution, and monitoring of projects. With intuitive interfaces and robust functionalities, it facilitates effective collaboration, resource allocation, and progress tracking, ensuring that project goals are met efficiently. Ideal for teams of all sizes, this solution enhances productivity and fosters accountability, making it an essential asset for any project management professional.
Graeme Cowan, keynote speaker: Building Team Safety, Resilience and Growth Gr...Graeme Cowan Enterprises
油
Graeme Cowan is a team care and resilience speaker. His keynote topics include:
GREAT TEAMS CARE - Building safety, resilience, and growth
SELFCARE ISN'T SELFISH - Resilience for uncertain times
CREW CARE - Building psychologically safe and resilient teams
R U OK?365 - How to support a teammate (or loved one) in distress
He has found that in the best teams - people have each other's back, enjoy working together, and care about each other
Material management is the process of planning, sourcing, storing, and controlling materials to ensure efficient production and cost-effectiveness. It helps in optimizing inventory, reducing waste, and maintaining a smooth supply chain.
3. 1. Check Sheets
The Check Sheet is a simple document that is used for collecting data in
real time and at the location where the data is generated. The document is
typically a blank form that is designed for the quick, easy, and efficient
recording of the desired information, which can be either quantitative or
qualitative. When the information is quantitative, the check sheet is
sometimes called a tally sheet. The check sheet is one of the seven basic
tools of quality control.
A defining characteristic of a check sheet is that data is recorded by
making marks (checks) on it. A typical check sheet is divided into
regions, and marks made in different regions have different significance.
Data is read by observing the location and number of marks on the sheet.
5. 2. Histogram
A histogram is a bar graph-like representation of data that buckets
a range of outcomes into columns along the x-axis.
The y-axis represents the number count or percentage of
occurrences in the data for each column and can be used to
visualize data distributions.
6. 3. Pareto Chart
Pareto chart which combines a bar
chart and a line chart.
The horizontal axis of a Pareto
chart shows main elements which
influence the quality of a program.
The sequence of those elements is
less and less important from left to
right. Besides, left vertical axis of
the chart represents the frequency
of occurrence while the right
vertical axis shows the cumulative
percentage. Thus, the height of
each bar acts as influencing the
degree of each element and the
upper line indicates the cumulative
frequency line.
7. 4. Scatter Plot
Scatter chart is a graph of plotted points
that show the relationship between two
sets of data.
Scatter charts are used to investigate the
possible relationship between two
variables that both relate to the same
"event".
Scatter charts are similar to line charts in
that they use horizontal and vertical axes
to plot data points.
However, scatter charts have a very
specific purpose. Scatter charts show how
much one variable is affected by another.
8. 5.FlowChart
A flowchart is simply a graphical representation of steps. It shows steps in
sequential order and is widely used in presenting the flow of algorithms,
workflow or processes.
Typically, a flowchart shows the steps as boxes of various kinds, and their
order by connecting them with arrows.
Here are some of the most common shapes:
Start/End:- Use this shape for the first and last step of your process.
Process:- This shape represents a typical step in process. This is the
most frequently used shape in almost every process.
9. Decision:- This Diamond shape indicates a point where the outcome of a
decision dictates the next step. There can be multiple outcomes, but often
there are just two yes and no.
Sub-process:- Use this shape for a set of steps that combine to create a
sub-process that is defined elsewhere, often on another page of the same
document. This is useful if the diagram is very long and complex.
Document:- This shape represents a step that results in a document.
Data:- This shape indicates that information is coming into the process
from outside, or leaving the process. This shape can also be used to
represent materials and is sometimes called an Input/Output shape.
10. On-page reference:- This small circle indicates that the next (or previous)
step is somewhere else on the drawing. This is particularly useful for large
flowcharts where you would otherwise have to use a long connector,
which can be hard to follow.
Off-page reference:- When you drop this shape onto your drawing page,
a dialog box opens where you can create a set of hyperlinks between two
pages of a flowchart or between a sub-process shape and a separate
flowchart page that shows the steps in that sub-process.
11. 6. Cause and Effect (Fishbone) Diagram
Cause and effect diagram:- Is an
analytical approach where a problem
or outcome is examined in the light of
potential causes that are organized or
broken down into smaller causes or
contributing factors.
There are several instances where
fishbone diagram or cause and effect
diagram can be applied, especially in
manufacturing processes or different
business scenarios. For instance, if a
printer is giving faulty printouts the
causes are looked at. These could be
quality of paper, printer cartridge not
working properly, inbuilt printing
program having a glitch and so forth.
12. 7. Control Chart
The control chart is a graph used to study how a process changes over
time. Data are plotted in time order. A control chart always has a central
line for the average, an upper line for the upper control limit, and a lower
line for the lower control limit. These lines are determined from historical
data.
13. * New Management and Planning Tools
1. Affinity Diagrams
2. Interrelationship diagraphs
3. Process Decision Program Charts
4. Tree Diagrams
5. Matrix Diagrams
6. Activity Network Diagrams
7. Prioritization Matrices
14. 1. Affinity Diagrams
Affinity diagrams are used to organize a set of data or information based
on their relationship to each other. This is normally done during the
brainstorming phase of a project. Once ideas are grouped by themes, it
will be easier for participants to draw connections between them, identify
potential problems and solutions to them.
Affinity diagrams are useful when it comes to sorting out large groups of
data. It is also great for encouraging creative thinking, as commonalities
and patterns between large sets of data might not be immediately
obvious.
15. 2. Interrelationship digraphs
Interrelationship digraphs show cause-and-effect relationships, and help
analyze the natural links between different aspects of a complex situation.
Explores the cause and effect relationships among all the issues,
including the most controversial
16. 3. Process Decision Program Chart (PDPC)
The process decision program chart (PDPC) is defined as a new
management planning tool that systematically identifies what might go
wrong in a plan under development. Countermeasures are developed to
prevent or offset those problems. By using PDPC, you can either revise
the plan to avoid the problems or be ready with the best response when a
problem occurs.
17. 4. Tree Diagram
A tree diagram is a new management planning tool that depicts the
hierarchy of tasks and subtasks needed to complete and objective. The
tree diagram starts with one item that branches into two or more, each of
which branch into two or more, and so on.
18. 5. Matrix Diagram
A Matrix Diagram is a table that allows sets of data to be compared in
order to make better decisions. It displays the existence and strength of
relationship between pairs of items of two or more sets. The relationship is
then indicated by a number or symbol in each cell where the two items
intersect in the matrix.
19. 6. Activity Network Diagram
An Activity Network Diagram is a diagram of project activities that shows
the sequential relationships of activities using arrows and nodes.
An activity network diagram tool is used extensively in and is necessary
for the identification of a projects critical path (which is used to determine
the expected completion time of the project). Example: Suppose the team
is tasked with improving the process of building a house. The team lists
the major steps involved everything from the excavation step through
the landscaping step.
20. 7. Prioritization Matrix
A Prioritization Matrix is a decision-making method that allows to select
the most appropriate alternative after evaluating multiple conflicting
criteria. It provides a way to prioritize a list of items into an order of
importance in order to select and decide further actions.