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Location of Multiple-Server Common Service Centers or Facilities, for Minimizing General Congestion and Travel Cost Functions

Author

Listed:
  • Vladimir Marianov

    (Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, marianov@ing.puc.cl)

  • Daniel Serra

    (Department of Economics and Business, and GREL-IET, Universitat Pompeu Fabra, Barcelona, Spain)

Abstract

The authors propose a model for locating a fixed number of multiple-server service centers or facilities that may become congested. Customers arriving at these centers must wait in line until served. The locations of the facilities and the allocations of customers to them are chosen by the planner, so to minimize both travel costs and system-wide congestion (or queuing) at centers. All the customers arriving at the facilities must be served, up to a certain maximum line length. The travel cost in which customers incur is a function of the length of the trip to the facility, while the congestion cost at a facility is a general function of the number of customers waiting on line or being served at the facility. The resulting model is a nonlinear p-median formulation. A solution method for this nonlinear model is proposed, and computational experience is presented.

Suggested Citation

  • Vladimir Marianov & Daniel Serra, 2011. "Location of Multiple-Server Common Service Centers or Facilities, for Minimizing General Congestion and Travel Cost Functions," International Regional Science Review, , vol. 34(3), pages 323-338, July.
  • Handle: RePEc:sae:inrsre:v:34:y:2011:i:3:p:323-338
    DOI: 10.1177/0160017611403738
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    References listed on IDEAS

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    1. Michel Gendreau & Alain Hertz & Gilbert Laporte, 1994. "A Tabu Search Heuristic for the Vehicle Routing Problem," Management Science, INFORMS, vol. 40(10), pages 1276-1290, October.
    2. Rajan Batta & June M. Dolan & Nirup N. Krishnamurthy, 1989. "The Maximal Expected Covering Location Problem: Revisited," Transportation Science, INFORMS, vol. 23(4), pages 277-287, November.
    3. Boffey, Brian & Galvao, Roberto & Espejo, Luis, 2007. "A review of congestion models in the location of facilities with immobile servers," European Journal of Operational Research, Elsevier, vol. 178(3), pages 643-662, May.
    4. D Serra & H A Eiselt & G Laporte & C S ReVelle, 1999. "Market Capture Models under Various Customer-Choice Rules," Environment and Planning B, , vol. 26(5), pages 741-750, October.
    5. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
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    Cited by:

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    2. Opher Baron & Oded Berman & Yael Deutsch, 2018. "On the optimality of the sequential approach for network design problems of service operations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 363-377, August.

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