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A note on the facility location problem with stochastic demands

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  • Bieniek, Milena

Abstract

In this research note that the single source capacitated facility location problem with general stochastic identically distributed demands is studied. The demands considered are independent and identically distributed random variables with arbitrary distribution. The unified a priori solution for the locations of facilities and for the allocation of customers to the operating facilities is found. This solution minimizes the objective function which is the sum of the fixed costs and the value of one of two different recourse functions. For each case the recourse function is given in closed form and a deterministic equivalent formulation of the model is presented. Some numerical examples are also given.

Suggested Citation

  • Bieniek, Milena, 2015. "A note on the facility location problem with stochastic demands," Omega, Elsevier, vol. 55(C), pages 53-60.
  • Handle: RePEc:eee:jomega:v:55:y:2015:i:c:p:53-60
    DOI: 10.1016/j.omega.2015.02.006
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    Cited by:

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    7. Mahmoud Golabi & Seyed Mahdi Shavarani & Gokhan Izbirak, 2017. "An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1545-1565, July.
    8. Kim, Jerim & Son, Sung-Yong & Lee, Jung-Min & Ha, Hyung-Tae, 2017. "Scheduling and performance analysis under a stochastic model for electric vehicle charging stations," Omega, Elsevier, vol. 66(PB), pages 278-289.
    9. Yang Wang & Yumeng Zhang & Mengyu Bi & Jianhui Lai & Yanyan Chen, 2022. "A Robust Optimization Method for Location Selection of Parcel Lockers under Uncertain Demands," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    10. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2016. "The impact of operations anticipations on the quality of stochastic location-allocation models," Omega, Elsevier, vol. 62(C), pages 19-33.
    11. Kınay, Ömer Burak & Saldanha-da-Gama, Francisco & Kara, Bahar Y., 2019. "On multi-criteria chance-constrained capacitated single-source discrete facility location problems," Omega, Elsevier, vol. 83(C), pages 107-122.
    12. Soumen Kumar Das & Sankar Kumar Roy & Gerhard Wilhelm Weber, 2020. "Heuristic approaches for solid transportation-p-facility location problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 939-961, September.
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