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Considering multiple recovery options and uncertainties in a closed-loop supply chain network design problem

Author

Listed:
  • Zied Jemai

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Rim Jerbia

    (OASIS - Optimisation des systèmes industriels et de services [Tunis] - ENIT - Ecole Nationale d'Ingénieurs de Tunis - UTM - Université de Tunis El Manar)

  • Mohamed Amine Sehli

    (OASIS - Optimisation des systèmes industriels et de services [Tunis] - ENIT - Ecole Nationale d'Ingénieurs de Tunis - UTM - Université de Tunis El Manar)

  • Mouna Kchaou Boujelben

    (UAEU - United Arab Emirates University)

Abstract

—In this paper, a closed-loop supply chain network design problem with multiple recovery options is studied. The problem is modeled as a Mixed Integer Linear Program (MILP). Then, a sensitivity analysis is carried out in order to investigate the impact of variations of the customer return rates, revenues, costs as well as the proportions of returns assigned to each recovery option, on the network structure and profit. A stochastic version of the model is also developed to account for the high uncertainties faced by companies. The computational results show that the solution of the stochastic problem is stable and that the benefit from using stochastic modeling increases when the penalty over non collected returns increases. Keywords— Closed loop supply chain network design, reverse logistics, facility location, MILP, two-stage stochastic program

Suggested Citation

  • Zied Jemai & Rim Jerbia & Mohamed Amine Sehli & Mouna Kchaou Boujelben, 2017. "Considering multiple recovery options and uncertainties in a closed-loop supply chain network design problem," Post-Print hal-01672407, HAL.
    • Handle: RePEc:hal:journl:hal-01672407
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