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dc.contributor.authorMak, Chung Yuen_US
dc.contributor.otherMassachusetts Institute of Technology. Flight Transportation Laboratoryen_US
dc.date.accessioned2012-01-06T22:24:57Z
dc.date.available2012-01-06T22:24:57Z
dc.date.issued1992en_US
dc.identifier45656684en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68105
dc.descriptionJanuary 1991en_US
dc.descriptionAlso issued as an M.S. thesis, Dept. of Civil Engineering, MIT, 1992en_US
dc.descriptionIncludes bibliographical referencesen_US
dc.description.abstractIn the highly competitive airline industry today, Yield or Revenue Management is extremely important to the survival of any carrier. Since fares are generally matched by all carriers to be competitive, the ability of an airline to control its passenger mix and achieve higher overall revenue is essential. Therefore, the revenue impacts of airline yield management are very important. Although there has been much discussion among people in the industry about the revenue impacts of yield management, it has received little research attention. The focus of this research is to develop an understanding of the revenue impacts of several factors that contribute to the effectiveness of yield management. In this thesis we begin by discussing the issues involved with airline yield management and the existing relevant literature. Based on the knowledge and experience gained through these previous studies, we develop a method to study the revenue impacts of airline yield management. With the development of a single-leg booking simulation, we can isolate most of the external and indirect factors that influence an airline's overall revenue. We perform a number of simulations under different scenarios to estimate the real revenue impacts of airline yield management. The different scenarios tested include varying the number of fare classes, relaxing the demand distribution assumptions, comparing static vs. dynamic seat allocation, relaxing seat inventory control assumptions and incorporating different capacity constraints or demand factors. We then present and discuss the results from these simulations with respect to their revenue impacts. Finally, we use the Revenue Opportunity Model developed by American Airlines Decision Technologies to compare revenue opportunity achieved in a simulated environment, and suggest areas for future research.en_US
dc.format.extent123 pen_US
dc.publisher[Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics, Flight Transportation Laboratory, 1992]en_US
dc.relation.ispartofseriesFTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R92-1en_US
dc.subjectAirlinesen_US
dc.subjectAeronautics, Commercialen_US
dc.subjectRatesen_US
dc.subjectMathematical modelsen_US
dc.subjectPassenger trafficen_US
dc.titleRevenue impacts of airline yield managementen_US
dc.typeTechnical Reporten_US


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