IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v43y1997i3p386-402.html
   My bibliography  Save this article

Prescribing Tactical Response for Oil Spill Clean Up Operations

Author

Listed:
  • W. E. Wilhelm

    (Department of Industrial Engineering, Texas A&M University, College Station, Texas 77843-3131)

  • A. V. Srinivasa

    (Management Science Division, Bonner and Moore Associates, 2727 Allen Parkway, Houston, Texas 77019)

Abstract

The Tactical Decision Problem (TDP) associated with oil spill clean up operations prescribes the time-phased allocation of available components over the planning horizon so that the clean up requirement at each critical time point is met. The objective is to minimize response time to allow for the most effective clean up possible. In this paper, we formulate the TDP as a general integer program. We devise a method based on graph theory to efficiently generate response system types (RSTs), including constituent components, the locations from which each of the component types is obtained, and the staging area at which that RST is composed. We present several pre-processing methods and derive expressions for bounds on decision variables to facilitate solution. We then develop two heuristics to obtain approximate solutions to the TDP. The first heuristic is an LP-based method, while the second uses a combination of LP relaxation and branch and bound. The two heuristics are compared on problems that are based on realistic scenarios representing application in the Galveston Bay Area.

Suggested Citation

  • W. E. Wilhelm & A. V. Srinivasa, 1997. "Prescribing Tactical Response for Oil Spill Clean Up Operations," Management Science, INFORMS, vol. 43(3), pages 386-402, March.
    • Handle: RePEc:inm:ormnsc:v:43:y:1997:i:3:p:386-402
    DOI: 10.1287/mnsc.43.3.386
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.43.3.386
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.43.3.386?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cameron MacKenzie & Hiba Baroud & Kash Barker, 2016. "Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill," Annals of Operations Research, Springer, vol. 236(1), pages 103-129, January.
    2. Sarhadi, Hassan & Naoum-Sawaya, Joe & Verma, Manish, 2020. "A robust optimization approach to locating and stockpiling marine oil-spill response facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Dilsu Binnaz Ozkapici & Mustafa Alp Ertem & Haluk Aygüneş, 2016. "Intermodal humanitarian logistics model based on maritime transportation in Istanbul," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 345-364, August.
    4. 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.
    5. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    6. Newman, Alexandra M. & Kuchta, Mark, 2007. "Using aggregation to optimize long-term production planning at an underground mine," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1205-1218, January.
    7. 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.
    8. Cameron A. MacKenzie & Hiba Baroud & Kash Barker, 2016. "Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill," Annals of Operations Research, Springer, vol. 236(1), pages 103-129, January.
    9. Verma, Manish & Gendreau, Michel & Laporte, Gilbert, 2013. "Optimal location and capability of oil-spill response facilities for the south coast of Newfoundland," Omega, Elsevier, vol. 41(5), pages 856-867.
    10. 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.
    11. Thomas M. Brody & Paisly Di Bianca & Jan Krysa, 2012. "Analysis of Inland Crude Oil Spill Threats, Vulnerabilities, and Emergency Response in the Midwest United States," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1741-1749, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:43:y:1997:i:3:p:386-402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.