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The stochastic transportation problem with single sourcing

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  • Edwin Romeijn, H.
  • Zeynep Sargut, F.
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    Abstract

    We propose a branch-and-price algorithm for solving a class of stochastic transportation problems with single-sourcing constraints. Our approach allows for general demand distributions, nonlinear cost structures, and capacity expansion opportunities. The pricing problem is a knapsack problem with variable item sizes and concave costs that is interesting in its own right. We perform an extensive set of computational experiments illustrating the efficacy of our approach. In addition, we study the cost of the single-sourcing constraints.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221711003845
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 214 (2011)
    Issue (Month): 2 (October)
    Pages: 262-272

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    Handle: RePEc:eee:ejores:v:214:y:2011:i:2:p:262-272

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Transportation problem Random demands Nonlinear costs;

    References

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    1. Bretthauer, Kurt M. & Shetty, Bala, 2002. "The nonlinear knapsack problem - algorithms and applications," European Journal of Operational Research, Elsevier, vol. 138(3), pages 459-472, May.
    2. Romeijn, H. Edwin & Shu, Jia & Teo, Chung-Piaw, 2007. "Designing two-echelon supply networks," European Journal of Operational Research, Elsevier, vol. 178(2), pages 449-462, April.
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