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Dynamic resource allocation to support oil spill response planning for energy exploration in the Arctic


  • Garrett, Richard A.
  • Sharkey, Thomas C.
  • Grabowski, Martha
  • Wallace, William A.


A mixed-integer linear program is proposed to model the dynamic network expansion problem of improving oil spill response capabilities to support energy exploration in the Arctic. Oil spill response operations in this region can be hampered by a lack of existing infrastructure, limited pre-positioned response equipment, and the possibility that response equipment might not arrive in time to mitigate the impact of a spill because of distance and infrastructure limitations. These considerations are modeled by two inter-related constraint sets with the objective of minimized total weighted response time for a set of potential oil spill incidents. One constraint set determines how to dynamically allocate response equipment and improve the infrastructures necessary to stockpile them within a network of response sites. The other set determines how to utilize this stockpile to respond to each task necessary for an incident by scheduling the equipment to complete tasks. These task completion times are subject to deadlines which, if not met, can, instead, require costlier follow-on tasks to be scheduled. The model, its assumptions, and data requirements were assessed by subject matter experts in the United States (U.S.) Coast Guard and a major Oil Spill Response Organization in the context of oil spill response logistics to support energy exploration initiatives in the U.S. Arctic.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:257:y:2017:i:1:p:272-286
    DOI: 10.1016/j.ejor.2016.07.023

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    References listed on IDEAS

    1. 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.
    2. Huntington, Henry P. & Daniel, Raychelle & Hartsig, Andrew & Harun, Kevin & Heiman, Marilyn & Meehan, Rosa & Noongwook, George & Pearson, Leslie & Prior-Parks, Melissa & Robards, Martin & Stetson, Geo, 2015. "Vessels, risks, and rules: Planning for safe shipping in Bering Strait," Marine Policy, Elsevier, vol. 51(C), pages 119-127.
    3. Crarnes, A. & Cooper, W. W. & Harrald, J. & Karwan, K. R. & Wallace, W. A., 1976. "A goal interval programming model for resource allocation in a marine environmental protection program," Journal of Environmental Economics and Management, Elsevier, vol. 3(4), pages 347-362, December.
    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. Charnes, A. & Cooper, W. W. & Karwan, K. R. & Wallace, W. A., 1979. "A chance-constrained goal programming model to evaluate response resources for marine pollution disasters," Journal of Environmental Economics and Management, Elsevier, vol. 6(3), pages 244-274, September.
    6. Baxter, Matthew & Elgindy, Tarek & Ernst, Andreas T. & Kalinowski, Thomas & Savelsbergh, Martin W.P., 2014. "Incremental network design with shortest paths," European Journal of Operational Research, Elsevier, vol. 238(3), pages 675-684.
    7. Kalinowski, Thomas & Matsypura, Dmytro & Savelsbergh, Martin W.P., 2015. "Incremental network design with maximum flows," European Journal of Operational Research, Elsevier, vol. 242(1), pages 51-62.
    8. Nurre, Sarah G. & Cavdaroglu, Burak & Mitchell, John E. & Sharkey, Thomas C. & Wallace, William A., 2012. "Restoring infrastructure systems: An integrated network design and scheduling (INDS) problem," European Journal of Operational Research, Elsevier, vol. 223(3), pages 794-806.
    9. 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.
    10. Burak Cavdaroglu & Erik Hammel & John Mitchell & Thomas Sharkey & William Wallace, 2013. "Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems," Annals of Operations Research, Springer, vol. 203(1), pages 279-294, March.
    11. Srinivasa, Anand V. & Wilhelm, Wilbert E., 1997. "A procedure for optimizing tactical response in oil spill clean up operations," European Journal of Operational Research, Elsevier, vol. 102(3), pages 554-574, November.
    12. Averbakh, Igor & Pereira, Jordi, 2015. "Network construction problems with due dates," European Journal of Operational Research, Elsevier, vol. 244(3), pages 715-729.
    13. 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.
    14. Kishore Gawande & Timothy Wheeler, 1999. "Measures of Effectiveness for Governmental Organizations," Management Science, INFORMS, vol. 45(1), pages 42-58, January.
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