Supply chain management through the stochastic goal programming model

Alireza Azimian () and Belaid Aouni ()
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Alireza Azimian: Wilfrid Laurier University
Belaid Aouni: Qatar University

Annals of Operations Research, 2017, vol. 251, issue 1, No 20, 365 pages

Abstract: 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 (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10479-015-2007-1

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