Fleischmann Quantitative Models for Reverse Logistics

2001
ISBN: 978-3-642-56691-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 501, 181 Seiten, eBook

Reihe: Lecture Notes in Economics and Mathematical Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Fleischmann, Moritz

Inhaltsverzeichnis

I. Reverse Logistics: An Introduction.- 1. Introduction.- 1.1 Scope and Definition of Reverse Logistics.- 1.2 Research Goals and Methodology.- 1.3 Outline of this Monograph.- 2. Reverse Logistics at IBM: An Illustrative Case.- 3. Structuring the Field.- 3.1 Dimensions of the Reverse Logistics Context.- 3.2 Categories of Reverse Logistics Flows.- 3.3 Literature Review.- 3.3.1 General Reverse Logistics Issues.- 3.3.2 Marketing Channels for Reverse Logistics Flows.- 3.3.3 Production and Operations Management Issues.- II. Reverse Logistics: Distribution Management Issues.- 4. Product Recovery Networks.- 4.1 Introduction to Reverse Distribution.- 4.2 Evidence from Current Practice.- 4.3 Recovery Network Characteristics.- 4.3.1 Commonalities of the Surveyed Business Cases.- 4.3.2 Comparison with Other Logistics Networks.- 4.4 Classification of Recovery Networks.- 4.4.1 Dimensions of the Network Context.- 4.4.2 Product Recovery Network Types.- 4.5 Vehicle Routing Issues.- 5. A Facility Location Model for Recovery Network Design.- 5.1 Recovery Network Design Models in Literature.- 5.2 A Generic Recovery Network Model.- 5.3 Examples.- 5.3.1 Example 5.1: Copier Remanufacturing.- 5.3.2 Example 5.2: Paper Recycling.- 5.4 Parametric Analysis and Network Robustness.- 5.5 Extensions.- Conclusions of Part II.- III. Reverse Logistics: Inventory Management Issues.- 6. Inventory Systems with Reverse Logistics.- 6.1 Exemplary Business Cases.- 6.2 Characteristics of Recoverable Inventory Management.- 6.3 A Review of Inventory Models in Reverse Logistics.- 6.3.1 Deterministic Models.- 6.3.2 Stochastic Periodic Review Models.- 6.3.3 Stochastic Continuous Review Models.- 7. Impact of Inbound Flows.- 7.1 A Basic Inventory Model with Item Returns.- 7.2 The Unit Demand Case.- 7.3 General Demand Case: Analysis of the Cost Function.- 7.4 General Demand Case: Optimal Policy Structure.- 7.5 Numerical Examples.- 7.6 Extensions.- 8. Impact of Multiple Sources.- 8.1 Tradeoffs Between Recovery and Procurement.- 8.2 The Capacity Aspect of Product Returns.- Conclusions of Part III.- IV. Reverse Logistics: Lessons Learned.- 9. Integration of Product Recovery into Spare Parts Management at IBM.- 9.1 The Current Dismantling Process.- 9.2 Logistics Alternatives for Integrating Dismantling.- 9.2.1 Design of the Dismantling Channel.- 9.2.2 Dismantling Decision Rule.- 9.2.3 Co-ordination with Other Sources.- 9.3 Performance of Alternative Planning Approaches.- 9.3.1 A Simulation Model.- 9.3.2 Numerical Results.- 9.4 Recommendations.- 10. Conclusions.- List of Figures.- List of Tables.- References.