Quantitative Models for Reverse Logistics

1. Front Matter

   Pages I-XI

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2. Reverse Logistics: An Introduction

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Moritz Fleischmann

      Pages 3-10

   3. Reverse Logistics at IBM: An Illustrative Case

      • Moritz Fleischmann

      Pages 11-15

   4. Structuring the Field

      • Moritz Fleischmann

      Pages 17-34

3. Reverse Logistics: Distribution Management Issues

   1. Front Matter

      Pages 35-35

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   2. Product Recovery Networks

      • Moritz Fleischmann

      Pages 37-57

   3. A Facility Location Model for Recovery Network Design

      • Moritz Fleischmann

      Pages 59-83

   4. Conclusions of Part II

      • Moritz Fleischmann

      Pages 85-86

4. Reverse Logistics: Inventory Management Issues

   1. Front Matter

      Pages 87-87

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   2. Inventory Systems with Reverse Logistics

      • Moritz Fleischmann

      Pages 89-103

   3. Impact of Inbound Flows

      • Moritz Fleischmann

      Pages 105-131

   4. Impact of Multiple Sources

      • Moritz Fleischmann

      Pages 133-138

   5. Conclusions of Part III

      • Moritz Fleischmann

      Pages 139-140

5. Reverse Logistics: Lessons Learned

   1. Front Matter

      Pages 141-141

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   2. Integration of Product Recovery into Spare Parts Management at IBM

      • Moritz Fleischmann

      Pages 143-159

   3. Conclusions

      • Moritz Fleischmann

      Pages 161-165

6. 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.

• Distributionslogistik
• Kreislauflogistik
• Logistics
• Produktrücknahme
• Reverse logistics
• distribution
• distribution management
• product recovery management
• supply chain management

• Rotterdam School of Management, Faculteit Bedrijfskunde, Erasmus University Rotterdam, Rotterdam, The Netherlands

  Moritz Fleischmann

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