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Computational Procedures for Location Problems on Stochastic Networks

Author

Listed:
  • Jerry R. Weaver

    (University of Alabama, Tuscaloosa, Alabama)

  • Richard L. Church

    (University of California at Santa Barbara, Santa Barbara, California)

Abstract

Mirchandani and Odoni have extended the concept of median location to stochastic networks, that is, networks where the distances (times) on some arcs and/or the demands at some nodes may be discrete random variables. Computational procedures for the solution of such median location problems on stochastic networks are developed; limited testing gave encouraging results.

Suggested Citation

  • Jerry R. Weaver & Richard L. Church, 1983. "Computational Procedures for Location Problems on Stochastic Networks," Transportation Science, INFORMS, vol. 17(2), pages 168-180, May.
    • Handle: RePEc:inm:ortrsc:v:17:y:1983:i:2:p:168-180
    DOI: 10.1287/trsc.17.2.168
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    Cited by:

    1. M S Daskin & A Haghani, 1984. "Multiple Vehicle Routing and Dispatching to an Emergency Scene," Environment and Planning A, , vol. 16(10), pages 1349-1359, October.
    2. Lim, Gino J. & Sonmez, Ayse Durukan, 2013. "γ-Robust facility relocation problem," European Journal of Operational Research, Elsevier, vol. 229(1), pages 67-74.
    3. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    4. Snyder, Lawrence V. & Daskin, Mark S. & Teo, Chung-Piaw, 2007. "The stochastic location model with risk pooling," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1221-1238, June.
    5. Feng, Xin & Murray, Alan T. & Church, Richard L., 2021. "Drone service response: Spatiotemporal heterogeneity implications," Journal of Transport Geography, Elsevier, vol. 93(C).
    6. Wenxuan Shan & Qianqian Yan & Chao Chen & Mengjie Zhang & Baozhen Yao & Xuemei Fu, 2019. "Optimization of competitive facility location for chain stores," Annals of Operations Research, Springer, vol. 273(1), pages 187-205, February.
    7. Barbara Anthony & Vineet Goyal & Anupam Gupta & Viswanath Nagarajan, 2010. "A Plant Location Guide for the Unsure: Approximation Algorithms for Min-Max Location Problems," Mathematics of Operations Research, INFORMS, vol. 35(1), pages 79-101, February.
    8. Jia Shu & Qiang Ma & Sijie Li, 2010. "Integrated location and two-echelon inventory network design under uncertainty," Annals of Operations Research, Springer, vol. 181(1), pages 233-247, December.
    9. Renata Turkeš & Kenneth Sörensen & Daniel Palhazi Cuervo, 2021. "A matheuristic for the stochastic facility location problem," Journal of Heuristics, Springer, vol. 27(4), pages 649-694, August.
    10. K Sörensen, 2008. "Investigation of practical, robust and flexible decisions for facility location problems using tabu search and simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 624-636, May.
    11. Afshartous, David & Guan, Yongtao & Mehrotra, Anuj, 2009. "US Coast Guard air station location with respect to distress calls: A spatial statistics and optimization based methodology," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1086-1096, August.
    12. Current, John & Ratick, Samuel & ReVelle, Charles, 1998. "Dynamic facility location when the total number of facilities is uncertain: A decision analysis approach," European Journal of Operational Research, Elsevier, vol. 110(3), pages 597-609, November.
    13. George L. Vairaktarakis & Panagiotis Kouvelis, 1999. "Incorporation dynamic aspects and uncertainty in 1‐median location problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(2), pages 147-168, March.

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