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A mixed integer linear programming model for designing a green closed-loop supply chain network considering location-routing problem

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  • Alvand Sadeghi
  • Hassan Mina
  • Niloofar Bahrami

Abstract

In today's business environment, reusing the products could result in a great deal of supply chains cost reductions. Additionally, environmental regulations and customers' increasing expectations leave companies no choice but applying the return policy. In this regard, designing a supply chain network incorporating the reverse flow can provide environmental requirements in addition to economic objectives. In this paper, a new mixed integer linear programming (MILP) model is developed for a closed-loop supply chain network (CLSCN) design. The proposed model is multi-period and multi-product that covers facility location and routing of heterogeneous vehicle fleets, simultaneously. The efficiency of the model is validated based on a real case in production and distribution chain of automotive spare parts manufacturing company in Iran. Managerial insights are gained through the numerical results.

Suggested Citation

  • Alvand Sadeghi & Hassan Mina & Niloofar Bahrami, 2020. "A mixed integer linear programming model for designing a green closed-loop supply chain network considering location-routing problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(2), pages 177-198.
  • Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:177-198
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    Cited by:

    1. Vitale, Ignacio & Dondo, Rodolfo G. & González, Matías & Cóccola, Mariana E., 2022. "Modelling and optimization of material flows in the wood pellet supply chain," Applied Energy, Elsevier, vol. 313(C).

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