A Stochastic Model of Airline Operations

Authors:
Jay M. Rosenberger;Andrew J. Schaefer;David Goldsman;Ellis L. Johnson;Anton J. Kleywegt;George L. Nemhauser
Affiliations:
-;-;-;-;-;-
Venue:
Transportation Science
Year:
2002

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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.