<p><P>Reverse logistics concerns the integration of used and obsolete products back into the supply chain as valuable resources. Economic, marketing, and legislative drivers increasingly are leading companies to take back and recover their products after use. The arising product flows pose novel cha
Quantitative Models for Reverse Logistics
β Scribed by Dr. Moritz Fleischmann (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2001
- Tongue
- English
- Leaves
- 180
- Series
- Lecture Notes in Economics and Mathematical Systems 501
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
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
β¦ Subjects
Production/Logistics/Supply Chain Management; Industrial and Production Engineering
π SIMILAR VOLUMES
Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of
<p><i>Global Logistics Network Modelling and Policy</i> provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authorsβ concept and formulation models, follow