چكيده به لاتين
Along with the increasing use of renewable energy, following the depletion of fossil fuel reserves, and different types of environmental pollution caused by these non-renewable resources, photovoltaic systems have recently achieved widespread acceptance to harness solar energy. Since the panels of photovoltaic systems have a limited lifespan and cannot be used after a while, it seems necessary to pay attention to recycling and sustainability in the supply chain network design of these systems. Therefore, given that the use of photovoltaic systems has been taken into consideration in the country in recent years, this study aimed to investigate the issue of photovoltaic systems closed-loop supply chain network design.
It can also be said that there is a growing acceptance of sustainability issues in different countries. Sustainability has different aspects, the most important of which are economic, social, and environmental dimensions. In this study, all three dimensions of sustainability are considered. In order to systematically design the desired supply chain network, a multi-objective mixed integer nonlinear model was presented, focusing on minimizing costs, minimizing adverse environmental effects, and maximizing social value. The concerned model also considers a reverse flow in addition to the typical forward flow in supply chain problems for special environmental and social issues. In the proposed model, both the forward flow and the issues related to the reverse flow in the supply chain are considered, so in addition to economic advantages, it also pays attention to environmental and social issues. The augmented constraint method is also used to convert the multi-objective model to a single-objective one. In this study, since the parameters of demand and facility capacity are considered uncertain, the robust possibilistic programming approach is implemented to tackle these uncertainties. Eventually, the efficiency of the model is illustrated by discussing a real-world case in Iran, through which prominent results are obtained.
