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Supply chain management through the stochastic goal programming model

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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.

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Authors and Affiliations

  1. School of Business and Economics, Wilfrid Laurier University, Waterloo, ON, N2L 3C5, Canada

    Alireza Azimian

  2. Management and Marketing Department, College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar

    Belaid Aouni

Authors
  1. Alireza Azimian
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  2. Belaid Aouni
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Correspondence to Belaid Aouni.

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Azimian, A., Aouni, B. Supply chain management through the stochastic goal programming model. Ann Oper Res 251, 351–365 (2017). https://doi.org/10.1007/s10479-015-2007-1

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