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A Partial Covering Approach to Siting Response Resources for Major Maritime Oil Spills


  • S. Belardo

    (School of Business, State University of New York, Albany, New York 12222)

  • J. Harrald

    (Training and Education Division, U.S. Coast Guard, Washington, D.C.)

  • W. A. Wallace

    (School of Management, Rensselaer Polytechnic Institute, Troy, New York 12181)

  • J. Ward

    (Krannert Graduate School, Purdue University, West Lafayette, Indiana 47907)


In this paper, oil spills occurring near shore in semienclosed waterways are viewed as emergency events. A partial set covering model, similar to those developed for firehouse location analysis, is applied to the problem of locating oil spill response equipment. The model includes both assessments of the relative probability of occurrence and the impact after occurrence of various spill types. A multiple objective approach enables the decisionmaker to evaluate strategies without confounding the probability of occurrence with the impact of occurrence. The paper discusses how the model can be used to support the decisions of emergency response planners who must subjectively solve the problem of attaining the best overall protection with existing resources while minimizing the risk of being unprepared for politically and environmentally sensitive events. The model discussed in the paper, although employed in a resource constrained mode, can also be used in a budget-constrained mode. The model is applied to the problem of locating oil spill response equipment on Long Island Sound, and implications for public policy are discussed in this context.

Suggested Citation

  • S. Belardo & J. Harrald & W. A. Wallace & J. Ward, 1984. "A Partial Covering Approach to Siting Response Resources for Major Maritime Oil Spills," Management Science, INFORMS, vol. 30(10), pages 1184-1196, October.
  • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:10:p:1184-1196

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    Cited by:

    1. 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.
    2. Zuo-Jun Max Shen & Mark S. Daskin, 2005. "Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design," Manufacturing & Service Operations Management, INFORMS, vol. 7(3), pages 188-207, September.
    3. Paul, Nicholas R. & Lunday, Brian J. & Nurre, Sarah G., 2017. "A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities," Omega, Elsevier, vol. 66(PA), pages 147-158.
    4. Iakovou, Eleftherios & Ip, Chi M. & Douligeris, Christos & Korde, Ashutosh, 1997. "Optimal location and capacity of emergency cleanup equipment for oil spill response," European Journal of Operational Research, Elsevier, vol. 96(1), pages 72-80, January.
    5. Zhou, Yawen & Liu, Jing & Zhang, Yutong & Gan, Xiaohui, 2017. "A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 77-95.
    6. 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.
    7. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    8. Garrett, Richard A. & Sharkey, Thomas C. & Grabowski, Martha & Wallace, William A., 2017. "Dynamic resource allocation to support oil spill response planning for energy exploration in the Arctic," European Journal of Operational Research, Elsevier, vol. 257(1), pages 272-286.
    9. repec:spr:annopr:v:238:y:2016:i:1:d:10.1007_s10479-015-2067-2 is not listed on IDEAS
    10. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    11. Caunhye, Aakil M. & Zhang, Yidong & Li, Mingzhe & Nie, Xiaofeng, 2016. "A location-routing model for prepositioning and distributing emergency supplies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 161-176.
    12. Akgün, İbrahim & Gümüşbuğa, Ferhat & Tansel, Barbaros, 2015. "Risk based facility location by using fault tree analysis in disaster management," Omega, Elsevier, vol. 52(C), pages 168-179.


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