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dc.contributor.authorHsu, Chaug-Ingen_US
dc.contributor.authorLi, Hui-Chiehen_US
dc.contributor.authorLiu, Su-Miaoen_US
dc.contributor.authorChao, Ching-Chengen_US
dc.date.accessioned2014-12-08T15:38:11Z-
dc.date.available2014-12-08T15:38:11Z-
dc.date.issued2011-01-01en_US
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.tre.2010.07.006en_US
dc.identifier.urihttp://hdl.handle.net/11536/26197-
dc.description.abstractThis study developed a stochastic dynamic programming model to optimize airline decisions regarding purchasing, leasing, or disposing of aircraft over time. Grey topological models with Markov-chain were employed to forecast passenger traffic and capture the randomness of the demand. The results show that severe demand fluctuations would drive the airline to lease rather than to purchase its aircrafts. This would allow greater flexibility in fleet management and allows for matching short-term variations in the demand. The results of this study provide a useful reference for airlines in their replacement decision-making procedure by taking into consideration the fluctuations in the market demand and the status of the aircraft. (c) 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectDynamic programmingen_US
dc.subjectFleet planningen_US
dc.subjectAircraft replacement scheduleen_US
dc.titleAircraft replacement scheduling: A dynamic programming approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.tre.2010.07.006en_US
dc.identifier.journalTRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEWen_US
dc.citation.volume47en_US
dc.citation.issue1en_US
dc.citation.spage41en_US
dc.citation.epage60en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000283833900004-
dc.citation.woscount7-
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