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dc.contributor.authorFujiwara, Tsuneoen_US
dc.contributor.otherMassachusetts Institute of Technology. Flight Transportation Laboratoryen_US
dc.date.accessioned2012-01-06T22:25:29Z
dc.date.available2012-01-06T22:25:29Z
dc.date.issued1988en_US
dc.identifier29216113en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68109
dc.descriptionCover titleen_US
dc.descriptionMay 1989en_US
dc.descriptionAlso issued as an M.S. thesis, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989en_US
dc.descriptionIncludes bibliographical referencesen_US
dc.description.abstractA new algorithm is introduced for effectively solving the airline schedule transition problem, which involves efficiently re-routing aircraft in order to balance the number and the types of aircraft at each station at the beginning of a new schedule with minimum cost. An extensive study was performed on using "pre-switches" - changing aircraft types of certain flights on the last day of the current schedule - and "post-switches" - changing aircraft types of certain flights on the first day of the new schedule - to balance the types of aircraft at each station for a pair of aircraft types. Several possibilities for extension to fleets of more than two aircraft types were examined. Airlines may use this algorithm in order to transition smoothly to the new schedule instead of relying on instincts of schedule analysts.en_US
dc.format.extent94 pen_US
dc.publisher[Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1988]en_US
dc.relation.ispartofseriesFTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R89-2en_US
dc.subjectAirlinesen_US
dc.subjectAeronautics, Commercialen_US
dc.subjectProduction schedulingen_US
dc.subjectTimetablesen_US
dc.subjectMathematical modelsen_US
dc.subjectPassenger trafficen_US
dc.titleSolving the schedule transition problem using optimization techniquesen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center


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