نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسنده English
The aim of this paper is to investigate and propose a novel mathematical model to enhance the performance of production systems in the petrochemical industry by utilizing a closed-loop supply chain approach. The mathematical model is designed to optimize material flow, procurement, and product distribution within petrochemical systems, and is capable of accommodating uncertain demand. The objective functions considered include transportation and inventory costs (as the first objective function) and the level of pollution at treatment and distribution centers (as the second objective function). The primary goal of this research is to develop a mathematical model that simultaneously manages production costs and environmental pollution within the closed-loop supply chain of petrochemical products. The model seeks to find an optimal balance between costs and the environmental impacts arising from the production and distribution of petrochemical products. The proposed model is solved using the weighted sum method and the NSGA-II metaheuristic algorithm. According to the results obtained for the objective function, it is observed that the value of the objective function is highly sensitive to the weight assigned to the first objective. Increasing this weight leads to an increase in the objective function value, whereas a higher weight for the second objective results in a decrease in the objective function value. The findings indicate that the minimum value of the objective function is 35,996.988. Additionally, the results of the metaheuristic approach demonstrate that as the problem size increases, its computational complexity increases as well.
کلیدواژهها English
Copyright © Koorosh Pouri
License
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