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Quantitative Models for Reverse Logistics Book

Quantitative Models for Reverse Logistics
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 , Quantitative Models for Reverse Logistics has a rating of 4.5 stars
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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 , Quantitative Models for Reverse Logistics
4.5 out of 5 stars based on 2 reviews
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  • Quantitative Models for Reverse Logistics
  • Written by author Moritz Fleischmann
  • Published by Springer-Verlag New York, LLC, March 2001
  • 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
  • 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
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Book Categories

Authors

Pt. IReverse Logistics: An Introduction
1Introduction3
2Reverse Logistics at IBM: An Illustrative Case11
3Structuring the Field17
Pt. IIReverse Logistics: Distribution Management Issues
4Product Recovery Networks37
5A Facility Location Model for Recovery Network Desing59
Conclusions of Part II85
Pt. IIIReverse Logistics: Inventory Management Issues
6Inventory Systems with Reverse Logistics89
7Impact of Inbound Flows105
8Impact of Multiple Sources133
Conclusions of Part III139
Pt. IVReverse Logistics: Lessons Learned
9Integration of Product Recovery into Spare Parts Management at IBM143
10Conclusions161
List of Figures166
List of Tables168
References171


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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 , Quantitative Models for Reverse Logistics

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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 , Quantitative Models for Reverse Logistics

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