Structured deplaning via simulation and optimization

Deplaning naturally occurs row by row down the length of an aircraft. Using simulation and optimization, we design deplaning strategies (e.g., deplane by group and/or column) that significantly reduce the overall unstructured deplaning time. The evaluations derived from a combination of optimization...

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Bibliographic Details
Published inJournal of air transport management Vol. 36; pp. 101 - 109
Main Authors Wald, Andrew, Harmon, Mark, Klabjan, Diego
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2014
Subjects
Air transport
Aircraft
Airline
Calibration
Columns (structural)
Deboarding
Genetic algorithm
Management
Optimization
Simulation
Stochastic
Strategy
Deboarding
Stochastic
Airline
Genetic algorithm
Optimization
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Summary:Deplaning naturally occurs row by row down the length of an aircraft. Using simulation and optimization, we design deplaning strategies (e.g., deplane by group and/or column) that significantly reduce the overall unstructured deplaning time. The evaluations derived from a combination of optimization and simulation were tested across several equipment types using data gathered through field observations for calibration. •Three types of commercial airliners were used to model deplaning.•Three different algorithms were used to find an optimal deplaning strategy.•Optimal algorithm strategies closely resembled pure strategies.•A pure one-column strategy was the best performer.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0969-6997
1873-2089
DOI:10.1016/j.jairtraman.2014.01.001