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A bicriterion reverse distribution model for product recall

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  • Min, H

Abstract

In the aftermath of the Consumer Product Safety Act of 1972 coupled with ever-increasing consumerism, product recall has become a common problem confronting many manufacturing organizations. Reverse distribution activities involving the removal of defective and/or hazardous products from the hands of customers are more crucial to the survival of some companies than are forward distribution activities because the companies' permanent goodwill is at stake. Nevertheless, not much attention has been given to the design of effective reverse distribution systems. This paper attempts to develop effective product recall strategies which not only minimize distribution costs of recall, but also maintain companies' goodwill. Generally, better customer service, prerequisite to companies' goodwill, can be maintained by a swift recall process that results in higher distribution expenses. In an effort to consider tradeoffs between reverse distribution costs and customer service, we propose a weighted goal programming model.

Suggested Citation

  • Min, H, 1989. "A bicriterion reverse distribution model for product recall," Omega, Elsevier, vol. 17(5), pages 483-490.
  • Handle: RePEc:eee:jomega:v:17:y:1989:i:5:p:483-490
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    Cited by:

    1. RuiYang Li & Ming He & HongYue He & QiaoYu Deng, 2022. "Heuristic column generation for designing an express circular packaging distribution network," Operational Research, Springer, vol. 22(2), pages 1103-1126, April.
    2. Jafarzadeh Ghazi, Amirhossein & Karray, Salma & Azad, Nader, 2023. "Price and quality competition while envisioning a quality-related product recall," European Journal of Operational Research, Elsevier, vol. 311(2), pages 486-501.
    3. Devika Kannan & Kiran Garg & P. C. Jha & Ali Diabat, 2017. "Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider," Annals of Operations Research, Springer, vol. 253(1), pages 353-376, June.
    4. 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.
    5. Min, Hokey & Ko, Hyun-Jeung, 2008. "The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers," International Journal of Production Economics, Elsevier, vol. 113(1), pages 176-192, May.
    6. 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.
    7. Mukherjee, Arka & Carvalho, Margarida & Zaccour, Georges, 2023. "Managing quality and pricing during a product recall: An analysis of pre-crisis, crisis and post-crisis regimes," European Journal of Operational Research, Elsevier, vol. 307(1), pages 406-420.
    8. 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.

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