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A mathematical model for selecting third-party reverse logistics providers

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  • Reza Farzipoor Saen

Abstract

Generally, many optimisation models of Third-Party Reverse Logistics (3PL) provider selection assume that cardinal data, with less emphasis on ordinal data, exist. However, to select the best 3PL providers, this assumption is not realistic because ordinal data are vital. To deal with this difficulty and select the most efficient 3PL provider with the condition that both ordinal and cardinal data are present, a methodology which is based on Imprecise Data Envelopment Analysis (IDEA) is introduced. A numerical example demonstrates the application of the proposed method.

Suggested Citation

  • Reza Farzipoor Saen, 2009. "A mathematical model for selecting third-party reverse logistics providers," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 2(2), pages 180-190.
    • Handle: RePEc:ids:ijpman:v:2:y:2009:i:2:p:180-190
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    Citations

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    Cited by:

    1. Govindan, Kannan & Kadziński, Miłosz & Ehling, Ronja & Miebs, Grzegorz, 2019. "Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA," Omega, Elsevier, vol. 85(C), pages 1-15.
    2. Kannan Govindan & Vernika Agarwal & Jyoti Dhingra Darbari & P. C. Jha, 2019. "An integrated decision making model for the selection of sustainable forward and reverse logistic providers," Annals of Operations Research, Springer, vol. 273(1), pages 607-650, February.
    3. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    4. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    5. Azadi, Majid & Farzipoor Saen, Reza, 2013. "A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare," Socio-Economic Planning Sciences, Elsevier, vol. 47(4), pages 281-291.
    6. 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.

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