A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty

Subject Areas : International Journal of Industrial Mathematics

داوود خدادادیان ¹ , رضا رادفر ² , عباس طلوعی اشلاقی ³

1 - Department of Management, Doroud Branch, Islamic Azad University, Doroud, Iran.
2 - Management and Economic Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Management and Economic Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2019-01-24 Accepted : 2019-06-19 Published : 2022-07-01

Keywords: Epsilon ‎Constraint, Non-dominated Sorting Genetic Algorithm, Uncertainty, Green supply chain, Multi-objective optimization,

Abstract :

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. According to the results, the proposed NSGAII is a reliable method to find efficient Pareto frontiers in a reasonable time.

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