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Quantitative Models for Reverse Logistics

  • Book
  • © 2001

Overview

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 501)

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Table of contents (12 chapters)

  1. Reverse Logistics: An Introduction

  2. Reverse Logistics: Distribution Management Issues

  3. Reverse Logistics: Inventory Management Issues

  4. Reverse Logistics: Lessons Learned

Keywords

About this book

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.

Authors and Affiliations

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

    Moritz Fleischmann

Bibliographic Information

  • Book Title: Quantitative Models for Reverse Logistics

  • Authors: Moritz Fleischmann

  • Series Title: Lecture Notes in Economics and Mathematical Systems

  • DOI: https://doi.org/10.1007/978-3-642-56691-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-540-41711-8Published: 20 March 2001

  • eBook ISBN: 978-3-642-56691-2Published: 06 December 2012

  • Series ISSN: 0075-8442

  • Series E-ISSN: 2196-9957

  • Edition Number: 1

  • Number of Pages: XI, 181

  • Number of Illustrations: 1 illustrations in colour

  • Topics: Industrial and Production Engineering, Operations Management

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