Modeling & Solving Stochastic Programming Problems in Supply Chain Management using Xpress-SP

نویسندگان

  • Alan Dormer
  • Alkis Vazacopoulos
  • Nitin Verma
  • Horia Tipi
چکیده

Supply chains continually face the challenge of efficient decision-making in a complex environment coupled with uncertainty. While plenty of forecasting and analytical tools are available in the market to evaluate and enhance Supply Chains’ performance, the current functionalities are not sufficient to address issues related to efficient decision making under uncertainty. In this paper we discuss expanding the modeling paradigm to incorporate uncertain events naturally and concisely in a stochastic programming framework, and demonstrate how Xpress-SP – a stochastic programming suite – can be used for modeling, solving and analyzing problems occurring in supply chain management. 1 Under review for "Supply Chain Optimization", Editors: Joseph Geunes and Panos Pardalos.

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تاریخ انتشار 2004