A Stochastic Model of Airline Operations

Jay M. Rosenberger, Andrew J. Schaefer, David Goldsman, Ellis L. Johnson, Anton J. Kleywegt and George L. Nemhauser
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Jay M. Rosenberger: Operations Research and Decision Support Department, American Airlines, Dallas-Fort Worth Airport, Texas 75261-9616
Andrew J. Schaefer: Department of Industrial Engineering, School of Engineering, University of Pittsburgh, 1048 Benedum Hall, Pittsburgh, Pennsylvania 15261
David Goldsman: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
Ellis L. Johnson: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
Anton J. Kleywegt: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
George L. Nemhauser: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205

Transportation Science, 2002, vol. 36, issue 4, 357-377

Abstract: We present a stochastic model of the daily operations of an airline. Its primary purpose is to evaluate plans, such as crew schedules, as well as recovery policies in a random environment. We describe the structure of the stochastic model, sources of disruptions, recovery policies, and performance measures. Then, we describe SimAir—our simulation implementation of the stochastic model, and we give computational results. Finally, we give future directions for the study of airline recovery policies and planning under uncertainty.

Date: 2002
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:36:y:2002:i:4:p:357-377

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