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Reverse Logistics Network Structures and Design

Author

Listed:
  • Fleischmann, M.
Abstract
Logistics network design is commonly recognized as a strategic supply chain issue of prime importance. The location of production facilities, storage concepts, and transportation strategies are major determinants of supply chain performance. This chapter considers logistics network design for the particular case of closed-loop supply chains. We highlight key issues that companies are facing when deciding upon the logistics implementation of a product recovery initiative. In particular, we point out differences and analogies with logistics network design for traditional 'forward' supply chains. Moreover, we discuss the strategic fit between specific supply chain contexts and logistics network structures. Conclusions are supported by a quantitative analysis.

Suggested Citation

  • Fleischmann, M., 2001. "Reverse Logistics Network Structures and Design," ERIM Report Series Research in Management ERS-2001-52-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:113
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    File URL: https://repub.eur.nl/pub/113/erimrs20010919163815.pdf
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    References listed on IDEAS

    as
    1. Listes, O.L. & Dekker, R., 2001. "Stochastic approaches for product recovery network design: a case study," Econometric Institute Research Papers EI 2001-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Barros, A. I. & Dekker, R. & Scholten, V., 1998. "A two-level network for recycling sand: A case study," European Journal of Operational Research, Elsevier, vol. 110(2), pages 199-214, October.
    3. V Jayaraman & V D R Guide & R Srivastava, 1999. "A closed-loop logistics model for remanufacturing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(5), pages 497-508, May.
    4. Fleischmann, Mortiz & Krikke, Hans Ronald & Dekker, Rommert & Flapper, Simme Douwe P., 2000. "A characterisation of logistics networks for product recovery," Omega, Elsevier, vol. 28(6), pages 653-666, December.
    5. Spengler, Th. & Puchert, H. & Penkuhn, T. & Rentz, O., 1997. "Environmental integrated production and recycling management," European Journal of Operational Research, Elsevier, vol. 97(2), pages 308-326, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Katherinne Salas-Navarro & Lia Castro-García & Karolay Assan-Barrios & Karen Vergara-Bujato & Ronald Zamora-Musa, 2024. "Reverse Logistics and Sustainability: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(13), pages 1-32, June.
    2. Gopalakrishnan Easwaran & Halit Üster, 2009. "Tabu Search and Benders Decomposition Approaches for a Capacitated Closed-Loop Supply Chain Network Design Problem," Transportation Science, INFORMS, vol. 43(3), pages 301-320, August.
    3. Fang Tian & Greys Sošić & Laurens Debo, 2019. "Manufacturers’ Competition and Cooperation in Sustainability: Stable Recycling Alliances," Management Science, INFORMS, vol. 65(10), pages 4733-4753, October.
    4. Adel A. Alamri, 2023. "A Sustainable Closed-Loop Supply Chains Inventory Model Considering Optimal Number of Remanufacturing Times," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    5. Halit Üster & Gopalakrishnan Easwaran & Elif Akçali & Sila Çetinkaya, 2007. "Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(8), pages 890-907, December.
    6. Zikopoulos, Christos & Tagaras, George, 2015. "Reverse supply chains: Effects of collection network and returns classification on profitability," European Journal of Operational Research, Elsevier, vol. 246(2), pages 435-449.
    7. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
    8. Yalcin Berberoglu & Yigit Kazancoglu & Muhittin Sagnak, 2023. "Circularity assessment of logistics activities for green business performance management," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4734-4749, November.
    9. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
    10. Beste Desticioglu & Hatice Calipinar & Bahar Ozyoruk & Erdinc Koc, 2022. "Model for Reverse Logistic Problem of Recycling under Stochastic Demand," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    11. Turken, Nazli & Carrillo, Janice & Verter, Vedat, 2020. "Strategic supply chain decisions under environmental regulations: When to invest in end-of-pipe and green technology," European Journal of Operational Research, Elsevier, vol. 283(2), pages 601-613.
    12. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    13. Piñeyro, Pedro & Viera, Omar, 2010. "The economic lot-sizing problem with remanufacturing and one-way substitution," International Journal of Production Economics, Elsevier, vol. 124(2), pages 482-488, April.

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    More about this item

    Keywords

    distribution management; facility location; network design; reverse logistics; supply chain management;
    All these keywords.

    JEL classification:

    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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