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Modeling Applications in the Airline Industry explains the different functions and tactics performed by airlines during their planning and operation phases. Each function receives a full explanation of the challenges it brings and a solution methodology is presented, supported by numerical illustrative examples wherever possible.

Produktbeschreibung
Modeling Applications in the Airline Industry explains the different functions and tactics performed by airlines during their planning and operation phases. Each function receives a full explanation of the challenges it brings and a solution methodology is presented, supported by numerical illustrative examples wherever possible.

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Autorenporträt
Ahmed Abdelghany is an Assistant Professor at the College of Business, Embry-Riddle Aeronautical University. Prior to this he was an Assistant Professor in the Department of Civil and Environmental Engineering, University of Alaska Fairbanks. He worked for four years as a Senior Analyst within the information services division of United Airlines, Chicago. Ahmed holds a Doctorate Degree from the University of Texas at Austin in Civil Engineering (2001) and a Master's Degree in Transportation Engineering from Cairo University, Egypt (1996). He has published in the areas of transportation planning, simulation, operations research, logistics, and airline management. Khaled Abdelghany is an Assistant Professor of Environmental and Civil Engineering at Southern Methodist University in Dallas. He teaches and pursues research in the areas of transportation systems planning and operations management. He also worked as part of the information services division of United Airlines. During his tenure at UA, he was involved in the development of optimization models in the area of airline operation planning and irregular operation management. His research has been published within the Transportation Research Records, Journal of Revenue and Pricing Management, Journal of Air Transport Management, Annals of Operations Research and European Journal of Operational Research.