A Multi-objective Multi-site Supply Chain Planning Problem under Risk and Uncertainty

  • Houssem FelfelEmail author
  • Omar Ayadi
  • Faouzi Masmoudi
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


In this paper, we propose a multi-objective two-stage stochastic programming model for a multi-site supply chain planning problem under demand uncertainty. Decisions such as the amount of products to be produced, the inventory level, the quantity of lost demand and the amounts of product transported between plants and customer are considered. In order to develop a robust supply chain planning solution, a risk measure is incorporated into the stochastic programming model. The proposed multi-objective model aims simultaneously to minimize the expected total cost, to minimize the worst-case cost and to maximize the customer demand satisfaction level. A numerical example is illustrated in order to show the effectiveness of the proposed model.


supply chain planning multi-objective risk management stochastic programming 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.National School of Engineers of Sfax, Laboratory of Mechanics, Modeling and ProductionUniversity of SfaxSfaxTunisia

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