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
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)