A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Mojtaba Arab Momeni, Vipul Jain () and Mehdi Bagheri
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Mojtaba Arab Momeni: Department of Industrial Engineering, Jam Faculty of Engineering, Persian Gulf University, Bushehr 7516913817, Iran
Vipul Jain: Wellington School of Business and Government, Victoria University of Wellington, Wellington 6140, New Zealand
Mehdi Bagheri: Department of Industrial Engineering, Jam Faculty of Engineering, Persian Gulf University, Bushehr 7516913817, Iran

Logistics, 2024, vol. 8, issue 1, 1-25

Abstract: Background : The growing concern for environmental and social issues has led to a focus on designing sustainable supply chains and increasing industrial responsibility towards society. In this paper, a multi-objective mixed-integer programming model is presented for designing a sustainable closed-loop supply chain. The model is aimed at the minimization of the total cost with the total used facilities, the negative environmental impacts, and the maximization of the positive social impacts. Methods : The epsilon-constraint method is utilized for solving the model and further extracting the Pareto solutions. Results : The result of the research clearly shows an optimal trade-off between the conflicting objectives, where, by paying more attention to the social and environmental aspects of sustainability, the total costs are increased or by optimizing the number of facilities, a better balance between the dynamics associated with the short-term and long-term goals is reached. The results of the sensitivity analysis also show that increasing the demand of the supply chain has the greatest impact on the supply chain costs compared to other objectives. Conclusions : Consequently, investigating such comprehensive sustainable objectives provides better insights into the impact of design variables on the expectations of stakeholders.

Keywords: closed-loop supply chain; sustainable design; epsilon-constraint method (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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