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A robust optimisation model for remanufacturing network design problem with one-way substitution

Author

Listed:
  • Alireza Ghafarimoghadam
  • Atefeh Karimi
  • Mohammad Mousazadeh
  • Mir Saman Pishvaee

Abstract

Economic exploitation of limited resources, satisfaction of customer's demands as well as the concerns about environmental impact form a broad awareness about designing and planning of closed-loop supply chain networks. Uncertainty is considered as one of the most important characteristics of remanufacturing networks, especially when strategic decisions are taken into account. In this study, a robust optimisation approach for remanufacturing closed loop network design (RCLND) problem with one-way substitution and uncertain data is proposed. First, a deterministic mixed-integer linear programming (MILP) model is developed and thereafter the robust counterpart of the proposed model is elaborated based on the robust programming methods. Finally, the efficiency and robustness of the solutions obtained from the robust optimisation model is investigated through numerical analysis.

Suggested Citation

  • Alireza Ghafarimoghadam & Atefeh Karimi & Mohammad Mousazadeh & Mir Saman Pishvaee, 2016. "A robust optimisation model for remanufacturing network design problem with one-way substitution," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 24(4), pages 484-503.
    • Handle: RePEc:ids:ijsoma:v:24:y:2016:i:4:p:484-503
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    Cited by:

    1. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.

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