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Tuesday, May 12, 2020 | History

1 edition of Quantitative models for reverse logistics found in the catalog.

Quantitative models for reverse logistics

Quantitative models for reverse logistics

a review

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Published by INSEAD in Fontainebleau .
Written in English


Edition Notes

Statementby M. Fleischmann ... [et al.].
SeriesWorking papers / INSEAD -- 97/64/TM, Working papers -- 97/64/TM.
ContributionsFleischmann, M., INSEAD.
ID Numbers
Open LibraryOL17157655M

Quantitative Models for Centralised Supply Chain Coordination Mohamad Y. Jaber and Saeed Zolfaghari Department of Mechanical and Industrial Engineering Ryerson University, Toronto, ON, Canada 1. Introduction A supply chain is defined as a network of facilities and distribution options that perform the. Green Operations (Reverse Logistics) Reverse Logistics (RL) is the opposite of traditional or forward logistics (Beamon, ). Dowlatshahi () and Carter and Ellram () define reverse logistics as a process where a manufacturer accepts previously shipped products from the point for consumption for possible recycling and Size: 82KB.

  (PDF Download) Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era. Rommert Dekker is a professor of operations research, quantitative logistics, and IT at the Erasmus School of Economics (ESE). Professor Dekker currently leads an industry-sponsored research program on service logistics. He has received numerous accolades for his research including ERIM's impact award which honours ERIM researchers who have successfully impacted management practice and the OR.

Network Design In Reverse Logistics: A Quantitative Model H.R. Krikke Erasmus University, School of Management Studies DR Rotterdam, The Netherlands email: [email protected] E.J. Kooi, P.C. Schuur School of Technology and Management Studies, University ofTwente P.o. Box , AE Enschede, The NetherlandsCited by: des problèmes de conception des réseaux logistiques dans le contexte du développement durable. Journée GT2L “Reverse logistics. Quantitative models for closed loops supply chains”, p. The book by Ferguson () is devoted to strategic File Size: 1MB.


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Quantitative models for reverse logistics Download PDF EPUB FB2

This book addresses decision making in reverse logistics. It covers a wide range of aspects, related to distribution, production and inventory management, and supply chain management.

For each topic, it highlights key managerial issues in real-life examples and explains which quantitative models are available for addressing them. This book addresses decision making in reverse logistics. It covers a wide range of aspects, related to distribution, production and inventory management, and supply chain management.

For each topic, it highlights key managerial issues in real-life examples and explains which quantitative models are available for addressing them.4/5(1). 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 Brand: Springer-Verlag Berlin Heidelberg. Quantitative models for reverse logistics. [Moritz Fleischmann] Home.

WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Book, Internet Resource: All Authors / Contributors: Moritz Fleischmann. Find more. A typology of quantitative models for reverse logistics based on three classes of problems is discussed in Fleischmann ().

Basically, they can be described as (i) reverse distribution problems. ELSEVIER European Journal of Operational Rcsearch () EUROPEAN JOURNAL OF OPERATIONAL RESEARCH Invited Review Quantitative models for reverse logistics: A review Moritz Fleischmann a, Jacqueline M. Bloemhof-Ruwaard ~, Rommert Dekker b,*, Erwin van der Laan ~, Jo A.E.E.

van Quantitative models for reverse logistics book a, Luk N. Van Wassenhove c Faculty of Business Administration, Erasmus Cited by: 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. For each topic, it highlights key managerial issues in real-life examples and explains which quantitative models are available for addressing them.

By treating a broad range of issues in a unified way, the book offers the reader a comprehensive view on the field of reverse : Paperback. 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 by: Many authors have proposed quantitative models taking those changes in the logistics environment into account. However, no general framework has been suggested yet.

Therefore the time seems right for a systematic overview of the issues arising in the context of reverse by: Get this from a library. Quantitative Models for Reverse Logistics.

[Moritz Fleischmann] -- 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. Full text of "Reverse logistics: quantitative models for closed-loop supply chains" See other formats.

Quantitative Models for Reverse Logistics Out of Print--Limited Availability. A monograph presenting a manuscript of quantitative models for reverse logistics, which covers inventory management issues and outlines what has been learned in terms of product recovery and other by: Corrections.

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:vyipSee general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title. Reverse Logistics Management for Apus by American Public University System and a great selection of related books, Quantitative Models for Reverse Logistics. Moritz Fleischmann. Published by Springer.

ISBN 10 The book may have minor markings which are not specifically mentioned. Most items will be dispatched the same or the next working. 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 : Moritz Fleischmann.

Purchase Logistics Operations and Management - 1st Edition. Print Book & E-Book. ISBNQuantitative Analysis and Supply & Logistics Management Research Cliff Allen, Ph.D., Dean and Vergil Miller Professor Dr.

Allen’s major research interests include global outsourcing of Research & Development and design, sustainable practices of reverse logistics and closed loop supply chains. logistics network. Many literatures in reverse logistics network design focus on case study, especially on electrical and electronic equipment recycling.

Many quantitative models have been developed for reverse logistics network design. Reverse logistics network models can be classified as closed-loop network model, generic model, stochastic. Quantitative and qualitative forecasting techniques in logistics management; A decision framework to mitigate the challenges of international logistics; Managing defected product returns in reverse logistics; Use of different inventory models for efficient logistics management; Using strategic procurement functions in logistics.

Fleischmann, M., Quantitative Models for Reverse Logistics, Lecture Notes in Economics and Mathematical Systems, VolumeSpringer-Verlag, Berlin, (2 .Combining quantitative and qualitative methodologies in Logistics research Introduction.

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