Annals of Operations Research

, Volume 251, Issue 1–2, pp 351–365 | Cite as

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.

Keywords

Supply chain Stochastic goal programming Chance constrained programming Manager’s preferences Satisfaction functions 

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.School of Business and EconomicsWilfrid Laurier UniversityWaterlooCanada
  2. 2.Management and Marketing Department, College of Business and EconomicsQatar UniversityDohaQatar

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