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An Improved IP Formulation for the Uncapacitated Facility Location Problem: Capitalizing on Objective Function Structure

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Abstract

In this paper we examine the Uncapacitated Facility Location Problem (UFLP) with a special structure of the objective function coefficients. For each customer the set of potential locations can be partitioned into subsets such that the objective function coefficients in each are identical. This structure exists in many applications, including the Maximum Cover Location Problem. For the problems possessing this structure, we develop a new integer programming formulation that has all the desirable properties of the standard formulation, but with substantially smaller dimensionality, leading to significant improvement in computational times. While our formulation applies to any instance of the UFLP, the reduction in dimensionality depends on the degree to which this special structure is present.

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References

  • Berman, O. and D. Krass. (2002). “The Generalized Maximal Cover Location Problem.” Computers and Operations Research 29, 563–591.

    Article  Google Scholar 

  • Berman, O., Z. Drezner, and D. Krass. (2003). “The Gradual Covering Decay Location Problem on Networks.” EJOR 151, 474–480.

    Article  Google Scholar 

  • Church, R.L. and M.E. Meadows. (1979). “Location Modeling Utilizing Maximum Service Distance Criteria.” Geographical Analysis 11, 358–373.

    Article  Google Scholar 

  • Church, R.L. and C. ReVelle. (1974). “The Maximal Covering Location Problem.”Papers of Regional Science Association 32, 101–118.

    Article  Google Scholar 

  • Cornuejols, G., M.L. Fisher, and G.L. Nemhauser. (1977). “Location of Bank Accounts to Optimize Float: An Analytic Study of Exact and Approximate Algorithms.” Management Science 23(8), 789–810.

    Google Scholar 

  • Cornuejols, M.L., G.L. Nemhauser, and L.A. Wolsey. (1990). “The Uncapacitated Facility Location Problem.” In R.L. Francis and P. Mirchandani (eds.), Discrete Location Theory New York: Wiley Interscience.

    Google Scholar 

  • Erlenkotter, D. (1978). “A Dual-Based Procedure for Uncapacitated Facility Location.” Operations Research 26, 992–1009.

    Google Scholar 

  • Galvão, R.D. (1980). “A Dual-Bounded Algorithm for the p-Median Problem.” Operations Research 28, 1112–1121.

    Google Scholar 

  • Galvão, R.D. and L.A. Raggi. (1989). “A Method for Solving to Optimality Uncapacitated Location Problems.” Annals of Operations Research 18, 225–244.

    Article  Google Scholar 

  • Kolen, A. and A. Tamir. (1990) “Covering Problems.” In P. Mirchandani and R.L. Francis (eds.), Discrete Location Theory. Wiley, pp. 263–304.

  • Krarup, J. and P.M. Pruzan. (1983). “The Simple Plant Location Problem: Survey and Synthesis.” Europena Journal of Operational Research 12, 36–81.

    Article  Google Scholar 

  • Revelle, C. (1993). “Facility Siting and Integer-Friendly Programming.” European Journal of Operational Research 65, 147–159.

    Article  Google Scholar 

  • Zipkin, P. (1980). “Bounds for Row-Aggregations in Linear Programming.” Operations Research 28, 903–916.

    Article  Google Scholar 

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This work was supported by grants from NSERC.

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Berman, O., Krass, D. An Improved IP Formulation for the Uncapacitated Facility Location Problem: Capitalizing on Objective Function Structure. Ann Oper Res 136, 21–34 (2005). https://doi.org/10.1007/s10479-005-2036-2

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  • DOI: https://doi.org/10.1007/s10479-005-2036-2

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