Using simulation to estimate critical paths and survival functions in aircraft turnaround processes

Andres San Antonio, Angel A. Juan, Laura Calvet, Pau Fonseca I Casas, Daniel Guimarans

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)


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 considering the Boeing 737-800 aircraft are carried out. Different levels of passengers' occupancy are analyzed, as well as two alternative designs for the turnaround stage.

Original languageEnglish
Title of host publication2017 Winter Simulation Conference
EditorsVictor Chan, Andrea D’Ambrogio, Gregory Zacharewicz, Navonil Mustafee
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages10
ISBN (Electronic)9781538634288, 9781538634295
ISBN (Print)9781538634301
Publication statusPublished - 2017
Externally publishedYes
EventWinter Simulation Conference 2017 - Las Vegas, United States of America
Duration: 3 Dec 20176 Dec 2017


ConferenceWinter Simulation Conference 2017
Abbreviated titleWSC 2017
Country/TerritoryUnited States of America
CityLas Vegas
Internet address

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