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Rectangular Distance Location under the Minimax Optimality Criterion

Author

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  • George O. Wesolowsky

    (McMaster University, Hamilton, Ontario, Canada)

Abstract

Various versions of the Weber problem deal with the location of facilities in a system with fixed destinations or customers. The object is to minimize the sum of transportation costs, which is represented as the sum of the weighted distances in the system. This paper finds the optimum location for facilities where the object is to minimize the maximum weighted distance in the system. Rectangular distances, which are more appropriate for urban transportation than straight line distances, are used in the model. Optimization is achieved through parametric linear programming.

Suggested Citation

  • George O. Wesolowsky, 1972. "Rectangular Distance Location under the Minimax Optimality Criterion," Transportation Science, INFORMS, vol. 6(2), pages 103-113, May.
    • Handle: RePEc:inm:ortrsc:v:6:y:1972:i:2:p:103-113
    DOI: 10.1287/trsc.6.2.103
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    Cited by:

    1. Diaz-Banez, J. M. & Mesa, J. A. & Schobel, A., 2004. "Continuous location of dimensional structures," European Journal of Operational Research, Elsevier, vol. 152(1), pages 22-44, January.
    2. Nikolai Krivulin, 2017. "Using tropical optimization to solve constrained minimax single-facility location problems with rectilinear distance," Computational Management Science, Springer, vol. 14(4), pages 493-518, October.
    3. Noor-E-Alam, Md. & Mah, Andrew & Doucette, John, 2012. "Integer linear programming models for grid-based light post location problem," European Journal of Operational Research, Elsevier, vol. 222(1), pages 17-30.
    4. D K Kulshrestha & T W Sag, 1984. "Extensions of the k-Elliptic Optimization Approach and a Computer Method for Location Decision," Environment and Planning A, , vol. 16(9), pages 1181-1195, September.
    5. G Babich, 1978. "An Efficient Algorithm for Solving the Rectilinear Location-Allocation Problem," Environment and Planning A, , vol. 10(12), pages 1387-1395, December.

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