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dc.contributor.advisorHartley, H. O.
dc.creatorMcKay, Michael Darrell
dc.date.accessioned2020-08-21T21:01:43Z
dc.date.available2020-08-21T21:01:43Z
dc.date.issued1972
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-185339
dc.description.abstractThat tanker scheduling problem considered in this paper is that of the Defense Fuel Supply Center (DFSC) and the Military Sealift Command (MSC) in the worldwide distribution of bulk petroleum products. Every six months DFSC receives from the Armed Forces estimates of quantities of products needed and dates during which deliveries should be made. Using these estimates DFSC contracts for the required products with various suppliers, and then works with MSC to construct cargoes and assign tankers to meet the requirement demands. Approximately 14 products, 125 ports, and 50 tankers are involved. A mathematical programming model (mixed integer) is developed which attempts to reflect the true scheduling task of DFSC and MSC as closely as possible. The problem is kept to within a workable size by sequentially focusing attention on requirements due to delivery during successive time periods, and by the systematic construction of a set of tanker routes which does not contain many routes that can be judged unacceptable from practical considerations alone.en
dc.format.extent63 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. 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.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectMajor statisticsen
dc.subject.classification1972 Dissertation M153
dc.titleAn operational approach to automated tanker scheduling by computeren
dc.typeThesisen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. D. in Statisticsen
thesis.degree.levelDoctorialen
dc.contributor.committeeMemberGates, Charles E.
dc.contributor.committeeMemberHedges, R. M.
dc.contributor.committeeMemberKlipple, E. C.
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc5786322


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