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An analytical approach to the facility location and capacity acquisition problem under demand uncertainty

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  • A Dasci

    (University of Alberta
    École des Hautes Études Commerciales)

  • G Laporte

    (École des Hautes Études Commerciales)

Abstract

This article presents an analysis of facility location and capacity acquisition under demand uncertainty. A novel methodology is proposed, in which the focus is shifted from the precise representation of facility locations to the market areas they serve. This is an extension of the optimal market area approach in which market area size and facility capacity are determined to minimize the total cost associated with fixed facility opening, variable capacity acquisition, transportation, and shortage. The problem has two variants depending on whether the firm satisfies shortages by outsourcing or shortages become lost sales. The analytical approach simplifies the problem considerably and leads to intuitive and insightful models. Among several other results, it is shown that fewer facilities are set up under lost sales than under outsourcing. It is also shown that the total cost in both models is relatively insensitive to small deviations in optimal capacity choices and parameter estimations.

Suggested Citation

  • A Dasci & G Laporte, 2005. "An analytical approach to the facility location and capacity acquisition problem under demand uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(4), pages 397-405, April.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:4:d:10.1057_palgrave.jors.2601826
    DOI: 10.1057/palgrave.jors.2601826
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    Cited by:

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    2. Ansari, Sina & Başdere, Mehmet & Li, Xiaopeng & Ouyang, Yanfeng & Smilowitz, Karen, 2018. "Advancements in continuous approximation models for logistics and transportation systems: 1996–2016," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 229-252.
    3. Péter Egri & Balázs Dávid & Tamás Kis & Miklós Krész, 2023. "Robust facility location in reverse logistics," Annals of Operations Research, Springer, vol. 324(1), pages 163-188, May.
    4. Bricha, Naji & Nourelfath, Mustapha, 2015. "Protection of warehouses and plants under capacity constraint," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 93-104.
    5. Jakubovskis, Aldis, 2017. "Flexible production resources and capacity utilization rates: A robust optimization perspective," International Journal of Production Economics, Elsevier, vol. 189(C), pages 77-85.
    6. Turken, Nazli & Carrillo, Janice & Verter, Vedat, 2020. "Strategic supply chain decisions under environmental regulations: When to invest in end-of-pipe and green technology," European Journal of Operational Research, Elsevier, vol. 283(2), pages 601-613.

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