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Multi-product and multi-period closed loop supply chain network design under take-back legislation

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  • Diabat, Ali
  • Jebali, Aida

Abstract

This paper addresses the closed loop supply chain (CLSC) network design problem for durable products with consideration of take-back legislation. Each returned end-of-life product can be dismantled into different components. A recovery option is adopted for each component based on its quality level, its economic value, and its environmental impact. First, a multi-product multi-period mixed integer linear programming (MIP) model is proposed while assuming a 100% recovery target. The latter is then extended in order to incorporate other take-back legislations: namely, regulation based on other recovery targets and regulation based on reward-penalty (RP) mechanisms. Sensitivity analysis is then carried out in order to capture how some model parameters influence the take-back decision, the integration of the reverse supply chain, and its structure when there are no regulatory restrictions on the take-back of returns. In addition, the CLSC performance, in terms of environment and economic efficiency, is investigated under different take-back legislations. For the considered case study, a comparative study shows that a higher reverse service level and CLSC profit can be achieved when a regulation based on RP mechanism is implemented.

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  • Diabat, Ali & Jebali, Aida, 2021. "Multi-product and multi-period closed loop supply chain network design under take-back legislation," International Journal of Production Economics, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:proeco:v:231:y:2021:i:c:s092552732030236x
    DOI: 10.1016/j.ijpe.2020.107879
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    Cited by:

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    2. Guitao Zhang & Xiao Zhang & Hao Sun & Xinyu Zhao, 2021. "Three-Echelon Closed-Loop Supply Chain Network Equilibrium under Cap-and-Trade Regulation," Sustainability, MDPI, vol. 13(11), pages 1-26, June.
    3. Zhang, Yanzi & Berenguer, Gemma & Zhang, Zhi-Hai, 2024. "A subsidized reverse supply chain in the Chinese electronics industry," Omega, Elsevier, vol. 122(C).
    4. Reddy, K. Nageswara & Kumar, Akhilesh & Choudhary, Alok & Cheng, T. C. Edwin, 2022. "Multi-period green reverse logistics network design: An improved Benders-decomposition-based heuristic approach," European Journal of Operational Research, Elsevier, vol. 303(2), pages 735-752.
    5. Yuyan Wang & Tingting Yu & Rui Zhou, 2022. "The Impact of Legal Recycling Constraints and Carbon Trading Mechanisms on Decision Making in Closed-Loop Supply Chain," IJERPH, MDPI, vol. 19(12), pages 1-26, June.

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