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Reverse Logistics Network Design under Disruption Risk for Third-Party Logistics Providers

Author

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  • Rui Li

    (School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou 121001, China)

  • Xin Chen

    (School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou 121001, China)

Abstract

Reverse logistics is attracting attention due to the increasing concerns over environmental issues and the important economic impacts. The design of a reverse logistics network is a major strategic problem in the field of reverse logistics. As cost pressures in product returns continue to mount, a growing number of manufacturers have begun to outsource reverse logistics operations to third-party logistics (3PL) providers. On the other hand, considering disruption risks caused by natural or man-made factors in the reverse logistics network design is inevitable. This paper studies third-party reverse logistics network designs under uncertain disruptions. The problem is formulated as a risk-averse two-stage stochastic programming model with a mean risk objective. Two types of risk measures, value at risk (VaR) and conditional value at risk (CVaR), were examined, respectively. Finally, the sensitivity analysis of the model was carried out. The validity of the mean risk criteria is proved by comparison with risk-neutral approach. Moreover, the performance of the proposed model was examined by stochastic measures.

Suggested Citation

  • Rui Li & Xin Chen, 2022. "Reverse Logistics Network Design under Disruption Risk for Third-Party Logistics Providers," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14936-:d:970163
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    References listed on IDEAS

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    1. Mohammad Fattahi & Kannan Govindan, 2017. "Integrated forward/reverse logistics network design under uncertainty with pricing for collection of used products," Annals of Operations Research, Springer, vol. 253(1), pages 193-225, June.
    2. Klarin Tomislav, 2018. "The Concept of Sustainable Development: From its Beginning to the Contemporary Issues," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 21(1), pages 67-94, May.
    3. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    4. 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.
    5. Manolis Manioudis & Giorgos Meramveliotakis, 2022. "Broad strokes towards a grand theory in the analysis of sustainable development: a return to the classical political economy," New Political Economy, Taylor & Francis Journals, vol. 27(5), pages 866-878, September.
    6. Mahmoudzadeh, Mahdi & Mansour, Saeed & Karimi, Behrouz, 2013. "To develop a third-party reverse logistics network for end-of-life vehicles in Iran," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 1-14.
    7. 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.
    8. S.A. Torabi & J. Namdar & S.M. Hatefi & F. Jolai, 2016. "An enhanced possibilistic programming approach for reliable closed-loop supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1358-1387, March.
    9. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    10. Vahab Vahdat & Mohammad Ali Vahdatzad, 2017. "Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty," Logistics, MDPI, vol. 1(2), pages 1-21, December.
    11. Soleimani, Hamed & Govindan, Kannan, 2014. "Reverse logistics network design and planning utilizing conditional value at risk," European Journal of Operational Research, Elsevier, vol. 237(2), pages 487-497.
    12. 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.
    13. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Marina Ivanova, 2017. "Literature review on disruption recovery in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6158-6174, October.
    14. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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