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A green closed-loop supply chain network: a bi-objective mixed integer linear programming model

Author

Listed:
  • Sobhgol Gholipour
  • Farhad Salehian
  • Hassan Lamouchi
  • Hassan Mina

Abstract

The increasing level of customer awareness and application of environmental laws by governments, on the one hand, and the increasing number of competitors, on the other hand, has obliged industry owners to include green activities in the design of the supply chain network. Green activities include any type of action that reduces environmental degradation. Hence, this study seeks to develop a bi-objective, mixed integer linear programming (MILP) model for designing a green supply chain network. In the proposed model, the minimisation of costs and detrimental environmental effects are discussed. LP metric method is used to solve the bi-objective model and the proposed model is run by using simulated data in small and medium sizes in GAMS software. Finally, the model sensitivity analysis is measured in order to evaluate the validity and performance of the proposed model by using demand-driven scenarios. The results of this model indicate the effectiveness of the proposed model.

Suggested Citation

  • Sobhgol Gholipour & Farhad Salehian & Hassan Lamouchi & Hassan Mina, 2021. "A green closed-loop supply chain network: a bi-objective mixed integer linear programming model," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 41(4), pages 492-513.
    • Handle: RePEc:ids:ijores:v:41:y:2021:i:4:p:492-513
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