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dc.contributor.authorMorton, D.P.
dc.contributor.authorSalmerón, J.
dc.contributor.authorWood, R.K.
dc.date2009
dc.date.accessioned2013-09-25T23:03:06Z
dc.date.available2013-09-25T23:03:06Z
dc.date.issued2009
dc.identifier.citationMorton, D.P., Salmerón, J. and Wood, R.K., 2009, “A Stochastic Program for Optimizing Military Sealift Subject to Attack,” Military Operations Research, 14(2), pp. 19-39.
dc.identifier.urihttp://hdl.handle.net/10945/36709
dc.descriptionMilitary Operations Research, 14(2), pp. 19-39.en_US
dc.descriptionCenter for Infrastructure Defense (CID) Paper.en_US
dc.description.abstractWe describe a stochastic program for planning the wartime, sealift deployment of military cargo that is subject to attack. The cargo moves on ships from U.S. or allied seaports of embarkation, to seaports of debarkation (SPODs) near the theater of war where it is unloaded and sent on to final, in-theater destinations. The question we ask is: Can a deployment-planning model, with proba- bilistic information on the time and location of potential enemy attacks on SPODs, suc- cessfully hedge against those attacks? That is, can this information be used to reduce the expected disruption caused by such attacks? We develop a specialized, stochastic mixed-integer program whose solutions answer that question in the affirmative for realistic deployment data. Furthermore, compared to the optimal deterministic so- lution, the stochastic solution incurs only a minor"disruption penalty" when no attack occurs, and outcomes for worst-case sce narios are better. Insight gained from the stochastic-programming approach also points to possible improvements in current, rule- based, scheduling methods.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleA Stochastic Program for Optimizing Military Sealift Subject to Attacken_US
dc.contributor.departmentDepartment of Operations Research
dc.subject.authorMilitary Planning and Logisticsen_US


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