A multi-objective mathematical model for designing an environmentally friendly supply chain
Keywords:
environment, supply chain, green supply chain, carbon dioxide, meta-heuristic algorithm, multi-objective genetic algorithmAbstract
The term sustainable or green supply chain refers to integrating environmentally sustainable processes into the traditional supply chain. It can include material selection and purchase, product procurement, product design, manufacturing and assembly, distribution, and end-of-life management. Undoubtedly, reducing air pollution, water, and waste management is the primary goal of a green supply chain. Green operation examines the performance of companies in terms of producing less waste, reusing and recycling products, and reducing production costs. In this research, as it is known, the problems of green supply chain network design are in the category of NP-Hard problems. Therefore, a multi-objective genetic algorithm (NSGA-II) will be used in this research to solve large-scale problems. Our primary goal in this research is to provide a multi-objective mathematical model with five indicators: location, selling price, average shortage, transportation, and costs, to design an environmentally friendly supply chain to reduce carbon dioxide (CO2) emissions.
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