A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran

• Published in: Renewable & sustainable energy reviews Vol. 150; p. 111428
• Main Authors: Nili, Maryam, Seyedhosseini, Seyed Mohammad, Jabalameli, Mohammad Saeed, Dehghani, Ehsan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-10-2021
• Subjects: Augmented constraint method; Closed-loop supply chain network design; Fuzzy analytic network process; Photovoltaic systems; Renewable energy; Sustainable supply chain; Photovoltaic systems; Augmented constraint method; Fuzzy analytic network process; Renewable energy; Closed-loop supply chain network design; Sustainable supply chain
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2021.111428

Along with the increasing rate of using renewable energies, following the finite amount of fossil fuel resources, and the associated pollution of these non-renewable energies, photovoltaic systems have recently achieved widespread acceptance to harness solar energy in the last decades. Since photovoltaic systems have a limited lifespan and cannot be used after a while, it seems imperative to pay attention to recycling and sustainability in the supply chain network design of these systems. In this respect, this paper first reviews the photovoltaic systems literature systematically. Thereinafter, a multi-objective, mixed-integer non-linear optimization model is deployed to design a photovoltaic supply chain network addressing the system's associated costs, environmental impacts, and social values. The concerned model also considers a reverse flow in addition to the typical forward flow in the proposed supply chain for special environmental and social issues. Likewise, to optimize the presented multi-objective model, the augmented ε-constraint method is employed, being capable of warranting the Pareto optimal solutions. Eventually, the model's efficiency is illustrated by discussing a real-world case in Iran, through which prominent managerial results are acquired.
•The photovoltaic systems literature is systematically reviewed.•A multi-objective, mixed-integer non-linear programming model is proposed to design a sustainable photovoltaic supply chain network.•The concerned model is able to consider a reverse flow in addition to the typical forward flow in the proposed supply chain.•To solve the proposed multi-objective model, the augmented ε-constraint method is deployed.•The efficiency of the model is illustrated by discussing a real-world case in Iran.