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dc.contributor.advisorR. Johnson Hansman.en_US
dc.contributor.authorJiang, Hong, 1966-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.en_US
dc.date.accessioned2005-09-27T18:58:29Z
dc.date.available2005-09-27T18:58:29Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28904
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 97-98).Assuming industry profits correlated to capacity shortfall, the delay and gain were calculated and the results were consistent with the observed delay between world aircraft deliveries and net profits. Since the gain in the model has lumped impacts of exogenous factors, exaggerated capacity response was observed in simulation. This indicates capacity shortfall alone cannot fully explain the industry dynamics. The model also indicates reduced delay may help to mitigate system oscillations. Similarly, a parametric model was developed by hypothesizing the delay in cost adjustment caused profit oscillations, and simulation results were consistent with industry profits. A coupled model was developed to study the joint effects of capacity and cost. Simulations indicated that the coupled model explained industry dynamics better than the individual capacity or cost models, indicating that the system behavior is driven by the joint effects of capacity response and cost adjustment.en_US
dc.description.abstractThe objective of this paper is to understand the financial dynamics of the airline industry by identifying profit cycle periods of the industry and their driving factors. Assuming that the industry profit cycles could be modeled as an undamped second-order system, the fundamental cycle period was identified to be 11.3 years for the U.S. airlines and 10.5 years for the world airlines. Analyses of industry profits reveal that such cycle period is endogenous, neither deregulation nor September 11 have significantly changed it. Parametric models were developed under the hypothesis that phase lag in the system caused profit oscillations; and two hypotheses, lag in capacity response and lag in cost adjustment were studied. A parametric model was developed by hypothesizing the delay in capacity response caused profit oscillations. For this model, the system stability depends on the delay between aircraft orders and deliveries and the aggressiveness in airplane ordering.en_US
dc.description.statementofresponsibilityby Hong Jiang.en_US
dc.format.extent116 p.en_US
dc.format.extent4838937 bytes
dc.format.extent4853052 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectAeronautics and Astronautics.en_US
dc.titleAn analysis of profit cycles in the airline industryen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.identifier.oclc60458937en_US


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