Show simple item record

dc.contributor.authorBailey, Michael P.
dc.contributor.authorDell, Robert F.
dc.contributor.authorGlazebrook, Kevin D.
dc.date.accessioned2014-01-29T23:39:20Z
dc.date.available2014-01-29T23:39:20Z
dc.date.issued1994
dc.identifier.urihttp://hdl.handle.net/10945/38622
dc.descriptionProceedings of the 1994 Winter Simulation Conference ed. J. D. Tew, S. Manivannan, D. A. Sadowski, and A. F. Seilaen_US
dc.description.abstractA primary mission for the United States Coast Guard (USCG) operating in coastal United States waters is to interdict contraband. The USCG schedules a fleet of cutters to meet this mission and seeks a way to determine the operational efficiency of a particular schedule. This paper develops a methodology based on generating a sequence of finite horizon dynamic programs (DPs), where each DP differs only in the way the smuggling vessels and the cutters interact. The DP takes the point of view of the smuggler who wishes to develop the smuggling strategy which ma..ximizes some characteristic (e.g., the mean) of the profit attained. The DP explicitly accounts for a smuggler who must combine his short-run profit goals with his need to gain future information about the configuration of the cutters. We develop a Monte Carlo sampling procedure to generate estimates of the random variables used in the DP.en_US
dc.rightsdefined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleSimulation-Based Dynamic Optimization: Planning United States Coast Guard Law Enforcement Patrolsen_US
dc.typeConference Paperen_US
dc.contributor.departmentOperations Research (OR)


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record