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The multiple server center location problem

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  • Robert Aboolian
  • Oded Berman
  • Zvi Drezner

Abstract

In this paper, we introduce the multiple server center location problem. p servers are to be located at nodes of a network. Demand for services of these servers is located at each node, and a subset of nodes are to be chosen to locate one or more servers in each. Each customer selects the closest server. The objective is to minimize the maximum time spent by any customer, including travel time and waiting time at the server sites. The problem is formulated and analyzed. Results for heuristic solution approaches are reported. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Robert Aboolian & Oded Berman & Zvi Drezner, 2009. "The multiple server center location problem," Annals of Operations Research, Springer, vol. 167(1), pages 337-352, March.
    • Handle: RePEc:spr:annopr:v:167:y:2009:i:1:p:337-352:10.1007/s10479-008-0341-2
    DOI: 10.1007/s10479-008-0341-2
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    References listed on IDEAS

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    5. O Berman & Z Drezner, 2007. "The multiple server location problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 91-99, January.
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    7. Oded Berman & Dmitry Krass, 2002. "Recent Developments in the Theory and Applications of Location Models: A Preview," Annals of Operations Research, Springer, vol. 111(1), pages 15-16, March.
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    9. Qian Wang & Rajan Batta & Christopher Rump, 2002. "Algorithms for a Facility Location Problem with Stochastic Customer Demand and Immobile Servers," Annals of Operations Research, Springer, vol. 111(1), pages 17-34, March.
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    Cited by:

    1. Robert Aboolian & Tingting Cui & Zuo-Jun Max Shen, 2013. "An Efficient Approach for Solving Reliable Facility Location Models," INFORMS Journal on Computing, INFORMS, vol. 25(4), pages 720-729, November.
    2. Ebrahim Teimoury & Mohammad Modarres & Morteza Neishaboori, 2020. "Cost-based differential pricing for a make-to-order production system in a competitive segmented market," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 266-275, August.

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