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dc.creatorLambert, Garrett Randall
dc.date.accessioned2012-06-07T22:41:16Z
dc.date.available2012-06-07T22:41:16Z
dc.date.created1995
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-L364
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references.en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThe problem of scheduling strategic sealift assets for a U.S. Army deployment in response to a major regional contingency is considered in this paper. The complexity of this problem depends upon the different types of ship speeds and capacities as well as unit precedence constraints. The objective is to minimize the sum of weighted unit tardiness. This paper presents the development and solution of a realistic strategic sealift scheduling problem based upon the experiences gained during Operation Desert Shield. A mathematical model for the problem is proposed and an algorithm is developed and applied to solve the scheduling problem. Results of the algorithm are compared with randomly generated schedules to determine algorithm effectiveness.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectindustrial engineering.en
dc.subjectMajor industrial engineering.en
dc.titleA computer algorithm to optimize the scheduling of strategic sealiften
dc.typeThesisen
thesis.degree.disciplineindustrial engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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