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Supply chain management through the stochastic goal programming model

Author

Listed:
  • Alireza Azimian

    (Wilfrid Laurier University)

  • Belaid Aouni

    (Qatar University)

Abstract

Supply chain (SC) design problems are often characterized with uncertainty related to the decision-making parameters. The stochastic goal programming (SGP) was one of the aggregating procedures proposed to solve the SC problems. However, the SGP does not integrate explicitly the Manager’s preferences. The aim of this paper is to utilize the chance constrained programming and the satisfaction function concept to formulate strategic and tactical decisions within the SC while demand, supply and total cost are random variables.

Suggested Citation

  • Alireza Azimian & Belaid Aouni, 2017. "Supply chain management through the stochastic goal programming model," Annals of Operations Research, Springer, vol. 251(1), pages 351-365, April.
    • Handle: RePEc:spr:annopr:v:251:y:2017:i:1:d:10.1007_s10479-015-2007-1
    DOI: 10.1007/s10479-015-2007-1
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    References listed on IDEAS

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