A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty
الموضوعات : مجله بین المللی ریاضیات صنعتی
D. Khodadadian
1
,
R. Radfar
2
,
A. Tolooei Eshlaghi‎
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.
الکلمات المفتاحية: Epsilon Constraint, Non-dominated Sorting Genetic Algorithm, Uncertainty, Green supply chain, Multi-objective optimization,
ملخص المقالة :
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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