Using simulation to estimate critical paths and survival functions in aircraft turnaround processes
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
In the context of aircraft turnaround processes, this paper illustrates how simulation can be used not only to analyze critical activities and paths, but also to generate the associated survival functions –thus providing the probabilities that the turnaround can be completed before a series of target times. After motivating the relevance of the topic for both airlines and airports, the paper reviews some related work and proposes the use of Monte Carlo simulation to obtain the critical paths of the turnaround process and generate the associated survival function. This analysis is performed assuming stochastic completion times for each activity in the process –which contrast with current practices in which deterministic times are usually assumed. A series of numerical experiments contribute to illustrate these ideas. These experiments are based on a realistic environment considering the Boeing 737-800 aircraft, although the analysis can be easily extended to any other configuration. Different levels of passengers’ occupancy are analyzed, as well as two alternative designs for the turnaround stage.
CitationFonseca, P., Guimarans, D. Using simulation to estimate critical paths and survival functions in aircraft turnaround processes. A: Winter Simulation Conference. "2017 Winter Simulation Conference (WSC): Las Vegas, Nevada, USA: december 3-6, 2017: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-9.
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