Title :
SimAir: a stochastic model of airline operations
Author :
Rosenberger, Jay M. ; Schaefe, Andrew J. ; Goldsman, David ; Johnson, Ellis L. ; Kleywegt, Anton J. ; Nemhauser, George L.
Author_Institution :
Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Airline transportation systems are inherently random. However, airline planning models do not explicitly consider stochasticity in operations. Because of this, there is often a notable discrepancy between a schedule´s planned and actual performance. SimAir is a modular airline simulation that simulates the daily operations of a domestic 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 SimAir, and we give future directions for the study of airline planning under uncertainty
Keywords :
digital simulation; planning; stochastic processes; travel industry; uncertainty handling; SimAir; airline operations; airline planning models; airline transportation systems; crew schedules; daily operations; domestic airline; modular airline simulation; random environment; recovery policies; stochastic model; uncertainty; Air transportation; Decision support systems; Delay; Job shop scheduling; Modeling; Stochastic processes; Systems engineering and theory; Terminology; Testing; Uncertainty;
Conference_Titel :
Simulation Conference, 2000. Proceedings. Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-6579-8
DOI :
10.1109/WSC.2000.899074