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

Alvand Sadeghi, Hassan Mina and Niloofar Bahrami

International Journal of Logistics Systems and Management, 2020, vol. 36, issue 2, 177-198

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.

Keywords: closed-loop supply chain; location-routing problem; mixed integer linear programming model. (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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