際際滷shows by User: lucazeppe1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: lucazeppe1 / Tue, 18 Nov 2014 04:01:14 GMT 際際滷Share feed for 際際滷shows by User: lucazeppe1 Dynamic lot sizing for products with high setup cost subject to obsolescence /slideshow/dynamic-lot-sizing-for-products-with-high-setup-cost-subject-to-obsolescence/41692950 zeppetellaetal-141118040114-conversion-gate01
In several industries, sudden changes in technology, fashion and style make the product useless for its intended use at some point in time and hence its utility and therefore its demand drops to zero at that point. The increase of the fragmentation of order quantities that have taken place in recent years makes the lot-for-lot policy unsuitable in make-to-order environments, especially in case of high setup costs. Thus, 鍖rms have to face the obsolescence risk and to produce, at their own risk, more than the ordered quantities.]]>
In several industries, sudden changes in technology, fashion and style make the product useless for its intended use at some point in time and hence its utility and therefore its demand drops to zero at that point. The increase of the fragmentation of order quantities that have taken place in recent years makes the lot-for-lot policy unsuitable in make-to-order environments, especially in case of high setup costs. Thus, 鍖rms have to face the obsolescence risk and to produce, at their own risk, more than the ordered quantities.]]> Tue, 18 Nov 2014 04:01:14 GMT /slideshow/dynamic-lot-sizing-for-products-with-high-setup-cost-subject-to-obsolescence/41692950 lucazeppe1@slideshare.net(lucazeppe1) Dynamic lot sizing for products with high setup cost subject to obsolescence lucazeppe1 In several industries, sudden changes in technology, fashion and style make the product useless for its intended use at some point in time and hence its utility and therefore its demand drops to zero at that point. The increase of the fragmentation of order quantities that have taken place in recent years makes the lot-for-lot policy unsuitable in make-to-order environments, especially in case of high setup costs. Thus, 鍖rms have to face the obsolescence risk and to produce, at their own risk, more than the ordered quantities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-141118040114-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In several industries, sudden changes in technology, fashion and style make the product useless for its intended use at some point in time and hence its utility and therefore its demand drops to zero at that point. The increase of the fragmentation of order quantities that have taken place in recent years makes the lot-for-lot policy unsuitable in make-to-order environments, especially in case of high setup costs. Thus, 鍖rms have to face the obsolescence risk and to produce, at their own risk, more than the ordered quantities.
Dynamic lot sizing for products with high setup cost subject to obsolescence from Luca Zeppetella
]]> 812 1 https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-141118040114-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A manpower allocation problem with layout considerations /slideshow/a-manpower-allocation-problem-with-layout-considerations/39087065 zeppetellaetal-140915030405-phpapp01
In this study we investigate the problem of assigning tasks to operators in a facility characterized by longitudinal par- allel machines such as in a shop 鍖oor served by an overhead travelling crane. Given a master production schedule (MPS) the objective is to assign all the jobs scheduled on the machines (i.e., the tasks) to the operators in order to 鍖ll to capacity the available workforce minimizing the distance between operators and tasks. In the model we assume that one task, i.e., a particular production job processed by a particular machine, must be entirely completed by a single operator. Di鍖erent levels of automation of the machines are considered, from manual machines that require a permanent employee to highly-automated machines where a single operator can oversee several machines. During the setup time or repair time of a machine the operator is considered free to operate on the remaining tasks assigned to him, if any. On the basis of the MPS the number of operators is pre-de鍖ned in the long-term planning horizon taking in consideration a 鍖xed mean transfer time between the tasks, that are the di鍖erent production jobs on di鍖erent machines. This value has a huge uncertainty because it is highly in鍖uenced by the tasks allocation. In fact a simultaneous multiple allocation means a continuous back and forth of the operator between his assigned machines. The objective of the model is the maximization of the operators utilization through minimizing the operator-task distances. The backlogged work is not admitted, therefore each day is independent of the other days, so a daily sta鍖ng is modelled. The study arises from a speci鍖c real-world problem but it could be easily extended to other contexts in which the operator-task allocation is subject to spatial-layout considerations. In general, non-optimized operators travel times may result in production losses, i.e., machine blocking and work in progress.]]>
In this study we investigate the problem of assigning tasks to operators in a facility characterized by longitudinal par- allel machines such as in a shop 鍖oor served by an overhead travelling crane. Given a master production schedule (MPS) the objective is to assign all the jobs scheduled on the machines (i.e., the tasks) to the operators in order to 鍖ll to capacity the available workforce minimizing the distance between operators and tasks. In the model we assume that one task, i.e., a particular production job processed by a particular machine, must be entirely completed by a single operator. Di鍖erent levels of automation of the machines are considered, from manual machines that require a permanent employee to highly-automated machines where a single operator can oversee several machines. During the setup time or repair time of a machine the operator is considered free to operate on the remaining tasks assigned to him, if any. On the basis of the MPS the number of operators is pre-de鍖ned in the long-term planning horizon taking in consideration a 鍖xed mean transfer time between the tasks, that are the di鍖erent production jobs on di鍖erent machines. This value has a huge uncertainty because it is highly in鍖uenced by the tasks allocation. In fact a simultaneous multiple allocation means a continuous back and forth of the operator between his assigned machines. The objective of the model is the maximization of the operators utilization through minimizing the operator-task distances. The backlogged work is not admitted, therefore each day is independent of the other days, so a daily sta鍖ng is modelled. The study arises from a speci鍖c real-world problem but it could be easily extended to other contexts in which the operator-task allocation is subject to spatial-layout considerations. In general, non-optimized operators travel times may result in production losses, i.e., machine blocking and work in progress.]]> Mon, 15 Sep 2014 03:04:05 GMT /slideshow/a-manpower-allocation-problem-with-layout-considerations/39087065 lucazeppe1@slideshare.net(lucazeppe1) A manpower allocation problem with layout considerations lucazeppe1 In this study we investigate the problem of assigning tasks to operators in a facility characterized by longitudinal par- allel machines such as in a shop 鍖oor served by an overhead travelling crane. Given a master production schedule (MPS) the objective is to assign all the jobs scheduled on the machines (i.e., the tasks) to the operators in order to 鍖ll to capacity the available workforce minimizing the distance between operators and tasks. In the model we assume that one task, i.e., a particular production job processed by a particular machine, must be entirely completed by a single operator. Di鍖erent levels of automation of the machines are considered, from manual machines that require a permanent employee to highly-automated machines where a single operator can oversee several machines. During the setup time or repair time of a machine the operator is considered free to operate on the remaining tasks assigned to him, if any. On the basis of the MPS the number of operators is pre-de鍖ned in the long-term planning horizon taking in consideration a 鍖xed mean transfer time between the tasks, that are the di鍖erent production jobs on di鍖erent machines. This value has a huge uncertainty because it is highly in鍖uenced by the tasks allocation. In fact a simultaneous multiple allocation means a continuous back and forth of the operator between his assigned machines. The objective of the model is the maximization of the operators utilization through minimizing the operator-task distances. The backlogged work is not admitted, therefore each day is independent of the other days, so a daily sta鍖ng is modelled. The study arises from a speci鍖c real-world problem but it could be easily extended to other contexts in which the operator-task allocation is subject to spatial-layout considerations. In general, non-optimized operators travel times may result in production losses, i.e., machine blocking and work in progress. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-140915030405-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this study we investigate the problem of assigning tasks to operators in a facility characterized by longitudinal par- allel machines such as in a shop 鍖oor served by an overhead travelling crane. Given a master production schedule (MPS) the objective is to assign all the jobs scheduled on the machines (i.e., the tasks) to the operators in order to 鍖ll to capacity the available workforce minimizing the distance between operators and tasks. In the model we assume that one task, i.e., a particular production job processed by a particular machine, must be entirely completed by a single operator. Di鍖erent levels of automation of the machines are considered, from manual machines that require a permanent employee to highly-automated machines where a single operator can oversee several machines. During the setup time or repair time of a machine the operator is considered free to operate on the remaining tasks assigned to him, if any. On the basis of the MPS the number of operators is pre-de鍖ned in the long-term planning horizon taking in consideration a 鍖xed mean transfer time between the tasks, that are the di鍖erent production jobs on di鍖erent machines. This value has a huge uncertainty because it is highly in鍖uenced by the tasks allocation. In fact a simultaneous multiple allocation means a continuous back and forth of the operator between his assigned machines. The objective of the model is the maximization of the operators utilization through minimizing the operator-task distances. The backlogged work is not admitted, therefore each day is independent of the other days, so a daily sta鍖ng is modelled. The study arises from a speci鍖c real-world problem but it could be easily extended to other contexts in which the operator-task allocation is subject to spatial-layout considerations. In general, non-optimized operators travel times may result in production losses, i.e., machine blocking and work in progress.
A manpower allocation problem with layout considerations from Luca Zeppetella
]]> 513 4 https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-140915030405-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 On the challenges and opportunities of implementing lean practices in northern Italian manufacturing districts /slideshow/lean-unimore/26055718 lean-20-20unimore-130910055813-phpapp01
The study analyses the challenges of the implementation of lean practices in some manufacturing districts of northern Italy. Lean practices aim at waste reduction and quality improvement in order to eliminate anything that does not contribute to the creation of value for the customer. In particular, owing to the highly fragmentation of customer demand which occurred in past decades, the economic sustainability is directly linked to the reduction of inventories and cycle times along the whole supply chain. This is truly relevant and challenging in those manufacturing districts that have been developed in the last years to exploit economy of scale. This strategy has led to a growing trend of outsourcing and, consequently, to the lengthening of supply chains. Longer supply chains result in longer cycle times and higher inventory levels that cannot be reduced by simply exploiting the overcapacity resulting from the current reduction of customer demand. Thus, it is necessary to identify the main economic, operational, and organizational factors characterizing these districts and relate them to the challenges and opportunities of implementing lean practices. This analysis emphasizes the need for some coordination mechanisms and the implementation of lean practices, not locally, but on the whole supply chain. ]]>
The study analyses the challenges of the implementation of lean practices in some manufacturing districts of northern Italy. Lean practices aim at waste reduction and quality improvement in order to eliminate anything that does not contribute to the creation of value for the customer. In particular, owing to the highly fragmentation of customer demand which occurred in past decades, the economic sustainability is directly linked to the reduction of inventories and cycle times along the whole supply chain. This is truly relevant and challenging in those manufacturing districts that have been developed in the last years to exploit economy of scale. This strategy has led to a growing trend of outsourcing and, consequently, to the lengthening of supply chains. Longer supply chains result in longer cycle times and higher inventory levels that cannot be reduced by simply exploiting the overcapacity resulting from the current reduction of customer demand. Thus, it is necessary to identify the main economic, operational, and organizational factors characterizing these districts and relate them to the challenges and opportunities of implementing lean practices. This analysis emphasizes the need for some coordination mechanisms and the implementation of lean practices, not locally, but on the whole supply chain. ]]> Tue, 10 Sep 2013 05:58:12 GMT /slideshow/lean-unimore/26055718 lucazeppe1@slideshare.net(lucazeppe1) On the challenges and opportunities of implementing lean practices in northern Italian manufacturing districts lucazeppe1 The study analyses the challenges of the implementation of lean practices in some manufacturing districts of northern Italy. Lean practices aim at waste reduction and quality improvement in order to eliminate anything that does not contribute to the creation of value for the customer. In particular, owing to the highly fragmentation of customer demand which occurred in past decades, the economic sustainability is directly linked to the reduction of inventories and cycle times along the whole supply chain. This is truly relevant and challenging in those manufacturing districts that have been developed in the last years to exploit economy of scale. This strategy has led to a growing trend of outsourcing and, consequently, to the lengthening of supply chains. Longer supply chains result in longer cycle times and higher inventory levels that cannot be reduced by simply exploiting the overcapacity resulting from the current reduction of customer demand. Thus, it is necessary to identify the main economic, operational, and organizational factors characterizing these districts and relate them to the challenges and opportunities of implementing lean practices. This analysis emphasizes the need for some coordination mechanisms and the implementation of lean practices, not locally, but on the whole supply chain. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lean-20-20unimore-130910055813-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The study analyses the challenges of the implementation of lean practices in some manufacturing districts of northern Italy. Lean practices aim at waste reduction and quality improvement in order to eliminate anything that does not contribute to the creation of value for the customer. In particular, owing to the highly fragmentation of customer demand which occurred in past decades, the economic sustainability is directly linked to the reduction of inventories and cycle times along the whole supply chain. This is truly relevant and challenging in those manufacturing districts that have been developed in the last years to exploit economy of scale. This strategy has led to a growing trend of outsourcing and, consequently, to the lengthening of supply chains. Longer supply chains result in longer cycle times and higher inventory levels that cannot be reduced by simply exploiting the overcapacity resulting from the current reduction of customer demand. Thus, it is necessary to identify the main economic, operational, and organizational factors characterizing these districts and relate them to the challenges and opportunities of implementing lean practices. This analysis emphasizes the need for some coordination mechanisms and the implementation of lean practices, not locally, but on the whole supply chain.
On the challenges and opportunities of implementing lean practices in northern Italian manufacturing districts from Luca Zeppetella
]]> 426 2 https://cdn.slidesharecdn.com/ss_thumbnails/lean-20-20unimore-130910055813-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-lucazeppe1-48x48.jpg?cb=1608111790 Ottimizzare le risorse per ottenere sempre di pi湛 dalle persone e dagli strumenti, in particolare nell'ambito produttivo e logistico. https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-141118040114-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dynamic-lot-sizing-for-products-with-high-setup-cost-subject-to-obsolescence/41692950 Dynamic lot sizing for... https://cdn.slidesharecdn.com/ss_thumbnails/zeppetellaetal-140915030405-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-manpower-allocation-problem-with-layout-considerations/39087065 A manpower allocation ... https://cdn.slidesharecdn.com/ss_thumbnails/lean-20-20unimore-130910055813-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/lean-unimore/26055718 On the challenges and ...