• 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