Ebook: Quantitative Models for Reverse Logistics

Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer. The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of "reverse" goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.

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Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer. The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of "reverse" goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.

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Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer. The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of "reverse" goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.
Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
Introduction....Pages 3-10
Reverse Logistics at IBM: An Illustrative Case....Pages 11-15
Structuring the Field....Pages 17-34
Front Matter....Pages 35-35
Product Recovery Networks....Pages 37-57
A Facility Location Model for Recovery Network Design....Pages 59-83
Conclusions of Part II....Pages 85-86
Front Matter....Pages 87-87
Inventory Systems with Reverse Logistics....Pages 89-103
Impact of Inbound Flows....Pages 105-131
Impact of Multiple Sources....Pages 133-138
Conclusions of Part III....Pages 139-140
Front Matter....Pages 141-141
Integration of Product Recovery into Spare Parts Management at IBM....Pages 143-159
Conclusions....Pages 161-165
Back Matter....Pages 167-184

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Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer. The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of "reverse" goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.
Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
Introduction....Pages 3-10
Reverse Logistics at IBM: An Illustrative Case....Pages 11-15
Structuring the Field....Pages 17-34
Front Matter....Pages 35-35
Product Recovery Networks....Pages 37-57
A Facility Location Model for Recovery Network Design....Pages 59-83
Conclusions of Part II....Pages 85-86
Front Matter....Pages 87-87
Inventory Systems with Reverse Logistics....Pages 89-103
Impact of Inbound Flows....Pages 105-131
Impact of Multiple Sources....Pages 133-138
Conclusions of Part III....Pages 139-140
Front Matter....Pages 141-141
Integration of Product Recovery into Spare Parts Management at IBM....Pages 143-159
Conclusions....Pages 161-165
Back Matter....Pages 167-184
....