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dc.contributor.authorBrown, Gerald G.
dc.contributor.authorGraves, Glenn W.
dc.contributor.authorRonen, David
dc.date1987
dc.date.accessioned2014-01-09T22:21:14Z
dc.date.available2014-01-09T22:21:14Z
dc.date.issued1987
dc.identifier.citationBrown, G.G., Graves, G., and Ronen, D., 1987, “Scheduling Ocean Transportation of Crude Oil,” Management Science, 33, p. 335-346.
dc.identifier.citationGerald G. Brown; Glenn W. Graves; David Ronen. Scheduling Ocean Transportation of Crude Oil. Management Science, Vol. 33, No.3 (Mar., 1987),335-346.
dc.identifier.urihttp://hdl.handle.net/10945/38142
dc.descriptionManagement Science, 33, p. 335-346. (Nominated for 1987 International Management Science Achievement Award.)en_US
dc.descriptionThe article of record as published may be found at http://links.jstor.org/sici?sici=0025-1909%28198703%2933%3A3%3C335%3ASOTOCO%3E2.0.CO%3B2-F
dc.descriptionNominated for 1987 International Management Science Achievement Award.
dc.description.abstractA crude oil tankerscheduling problem faced by a major oil company is presented and solved using an elastic set partitioning model. The model takes into account all fleet cost components, including the opportunity cost of ship time, port and canal charges, and demurrage and bunker fuel. The model determines optimalspeeds for the ships and the best routing of ballast (empty) legs, as well as which cargos to load on controlled ships and which to spot charter. All feasible schedules are generated, the cost of each is accurately determined and the best set of schedules is selected. For the problems encountered, optimal integer solutions to set partitioning problems with thousands of binary variables have been achieved in less than a minute.en_US
dc.publisherThe Institute of Management Sciences
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleScheduling Ocean Transportation of Crude Oilen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Research (OR)
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