Title of article :
A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty
Author/Authors :
Khodadadian, D. Department of Management - Islamic Azad University Doroud Branch, Doroud, Iran. , Radfar, R. Management and Economic Department - Islamic Azad University Science and Research Branch, Tehran, Iran , Tolooee Eshlaghi, A. Management and Economic Department - Islamic Azad University Science and Research Branch, Tehran, Iran
Pages :
19
From page :
319
To page :
337
Abstract :
Increasing environmental pollution, which causes global warming and endangers human health and environmental degradation, has led to the concern of many supply chain managers and designers. The purpose of this research is to provide a mathematical model for designing the purchase, production, and distribution in a multi-level and multi-product supply chain network such that the environmental impact and total costs of supply chain is minimized and the customers' satisfaction level is maximized. Due to the unspecied demands level, demand uncertainty has been considered in the problem. Re- garding the complexity of the proposed mathematical model and diffculties in solving the problem with exact methods in large size, a NSGA II has been proposed. To evaluate the proposed NSGA II, ve sample instances are generated in different size and solved by Epsilon constraints method and NSGA II. According to the results, the proposed NSGAII is a reliable method to nd effcient Pareto frontiers in a reasonable time.
Keywords :
Green Supply Chain , Multi-Objective Optimization , Non-Dominated Sorting Genetic Algorithm , Uncertainty , Epsilon Constraint
Journal title :
International Journal of Industrial Mathematics(IJIM)
Serial Year :
2022
Record number :
2725958
Link To Document :
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