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A multi-objective fuzzy goal programming model for reverse supply chain design

Author

Listed:
  • Mazaher Ghorbani
  • S. Mohammad Arabzad
  • Reza Tavakkoli-Moghaddam

Abstract

This paper proposes a fuzzy goal programming-based (FGP-based) approach for solving a multi-objective mathematical model of reverse supply chain design. In a green supply chain, designing the network of the reverse chain is vital. Thus, the robust configuration of reverse chain will cause acting friendly with the environment and brings a huge benefit for the partners of the supply chain. Hence, it can be used as competitive competency. Three objectives are considered to minimise recycling cost, rate of waste generated by recyclers and material recovery time in such a way that the best set of recyclers to allocate products is determined. The major advantage of the proposed model is that it considers cost, time and efficiency rate to design responsive and efficient reverse supply chain. A numerical example is conducted to show the effectiveness of the model.

Suggested Citation

  • Mazaher Ghorbani & S. Mohammad Arabzad & Reza Tavakkoli-Moghaddam, 2014. "A multi-objective fuzzy goal programming model for reverse supply chain design," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 19(2), pages 141-153.
    • Handle: RePEc:ids:ijores:v:19:y:2014:i:2:p:141-153
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    Cited by:

    1. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.

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