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Note--One-Dimensional Facility Location-Allocation using Dynamic Programming

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  • Robert F. Love

    (University of Wisconsin, Madison)

Abstract

A dynamic programming algorithm is presented to locate m variable facilities in relation to n existing facilities situated on one route. Each of the n existing facilities has a requirement flow which must be supplied by the variable facilities. The algorithm does the allocation simultaneously with the location. Computational experience indicates that relatively large problems may be solved optimally.

Suggested Citation

  • Robert F. Love, 1976. "Note--One-Dimensional Facility Location-Allocation using Dynamic Programming," Management Science, INFORMS, vol. 22(5), pages 614-617, January.
    • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:5:p:614-617
    DOI: 10.1287/mnsc.22.5.614
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    Cited by:

    1. Prahalad Venkateshan & Kamlesh Mathur, 2015. "A Heuristic for the Multisource Weber Problem with Service Level Constraints," Transportation Science, INFORMS, vol. 49(3), pages 472-483, August.
    2. Hüseyin Güden & Haldun Süral, 2017. "A polynomial algorithm for the earthwork allocation problem with borrow and waste site selection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1085-1093, September.
    3. Güden, Hüseyin & Süral, Haldun, 2014. "Locating mobile facilities in railway construction management," Omega, Elsevier, vol. 45(C), pages 71-79.
    4. Venkateshan, Prahalad & Ballou, Ronald H. & Mathur, Kamlesh & Maruthasalam, Arulanantha P.P., 2017. "A Two-echelon joint continuous-discrete location model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1028-1039.

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