dc.contributor.author | Fujiwara, Tsuneo | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Flight Transportation Laboratory | en_US |
dc.date.accessioned | 2012-01-06T22:25:29Z | |
dc.date.available | 2012-01-06T22:25:29Z | |
dc.date.issued | 1988 | en_US |
dc.identifier | 29216113 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/68109 | |
dc.description | Cover title | en_US |
dc.description | May 1989 | en_US |
dc.description | Also issued as an M.S. thesis, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989 | en_US |
dc.description | Includes bibliographical references | en_US |
dc.description.abstract | A 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.extent | 94 p | en_US |
dc.publisher | [Cambridge, Mass. : Massachusetts Institute of Technology, Flight Transportation Laboratory, 1988] | en_US |
dc.relation.ispartofseries | FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R89-2 | en_US |
dc.subject | Airlines | en_US |
dc.subject | Aeronautics, Commercial | en_US |
dc.subject | Production scheduling | en_US |
dc.subject | Timetables | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Passenger traffic | en_US |
dc.title | Solving the schedule transition problem using optimization techniques | en_US |
dc.type | Technical Report | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Operations Research Center | |