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A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns

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  • Min, Hokey
  • Jeung Ko, Hyun
  • Seong Ko, Chang

Abstract

Traditionally, product returns have been viewed as an unavoidable cost of doing business, forfeiting any chance of cost savings. As cost pressures continue to mount in this era of economic downturns, a growing number of firms have begun to explore the possibility of managing product returns in a more cost-efficient manner. However, few studies have addressed the problem of determining the number and location of centralized return centers (i.e., reverse consolidation points) where returned products from retailers or end-customers were collected, sorted, and consolidated into a large shipment destined for manufacturers' or distributors' repair facilities. To fill the void in such a line of research, this paper proposes a nonlinear mixed-integer programming model and a genetic algorithm that can solve the reverse logistics problem involving product returns. The usefulness of the proposed model and algorithm was validated by its application to an illustrative example dealing with products returned from online sales.

Suggested Citation

  • Min, Hokey & Jeung Ko, Hyun & Seong Ko, Chang, 2006. "A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns," Omega, Elsevier, vol. 34(1), pages 56-69, January.
    • Handle: RePEc:eee:jomega:v:34:y:2006:i:1:p:56-69
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    References listed on IDEAS

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    1. Caruso, C. & Colorni, A. & Paruccini, M., 1993. "The regional urban solid waste management system: A modelling approach," European Journal of Operational Research, Elsevier, vol. 70(1), pages 16-30, October.
    2. Zhou, Gengui & Min, Hokey & Gen, Mitsuo, 2003. "A genetic algorithm approach to the bi-criteria allocation of customers to warehouses," International Journal of Production Economics, Elsevier, vol. 86(1), pages 35-45, October.
    3. 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.
    4. 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.
    5. 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.
    6. Min, H, 1989. "A bicriterion reverse distribution model for product recall," Omega, Elsevier, vol. 17(5), pages 483-490.
    7. Jayaraman, Vaidyanathan & Patterson, Raymond A. & Rolland, Erik, 2003. "The design of reverse distribution networks: Models and solution procedures," European Journal of Operational Research, Elsevier, vol. 150(1), pages 128-149, October.
    8. Zhou, Gengui & Gen, Mitsuo, 1999. "Genetic algorithm approach on multi-criteria minimum spanning tree problem," European Journal of Operational Research, Elsevier, vol. 114(1), pages 141-152, April.
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