Measuring the Robustness of Airline Fleet Schedules

F. Bian, E. K. Burke, S. Jain, G. Kendall, G. M. Koole, J. D. Landa Silva, J. Mulder, M. C. E. Paelinck, C. Reeves, I. Rusdi and M. O. Suleman
Additional contact information
F. Bian: University of Oxford
E. K. Burke: The University of Nottingham
S. Jain: Aston University
G. Kendall: The University of Nottingham
G. M. Koole: Aston University
J. D. Landa Silva: The University of Nottingham
J. Mulder: KLM Airlines
M. C. E. Paelinck: KLM Airlines
C. Reeves: Coventry University
I. Rusdi: Technical University of Delft
M. O. Suleman: University of Oxford

A chapter in Multidisciplinary Scheduling: Theory and Applications, 2005, pp 381-392 from Springer

Abstract: Abstract Constructing good quality fleet schedules is essential for an airline to operate in an effective and efficient way in order to accomplish high levels of consumer satisfaction and to maximise profits. The robustness of an airline schedule is an indicative measure of how good the schedule is because a robust plan allows the airline to cope with the unexpected disturbances which normally occur on a daily basis. This paper describes a method to measure the robustness of schedules for aircraft fleet scheduling within KLM Airlines. The method is based on the “Aircraft on Ground (ACOG)” measure, it employs statistical methods (although alternative methods were also considered) and it is shown to provide a good estimation of the robustness of a given schedule.

Keywords: modelling; airline scheduling; schedule quality measures (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-27744-8_19

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DOI: 10.1007/0-387-27744-7_19

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