Risk-averse two-stage stochastic programming model for gate assignment problem under arrival time uncertainty

•A risk-averse two-stage stochastic programming model for gate assignment problem is studied.•An efficient multi-cut Benders-based branch-and-cut method is devised.•Extensive computational experiments show the performance of the solution method and model. The gate assignment problem (GAP) is a cruci...

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Veröffentlicht in:	Computers & industrial engineering Jg. 207; S. 111269
Hauptverfasser:	Zhang, Chenliang, Ng, Kam K.H., Jin, Zhongyi, Sun, Xuting, Qin, Yichen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Benders-based branch-and-cut Conditional-value-at-risk Gate assignment operations Risk aversion Two-stage stochastic programming Risk aversion Conditional-value-at-risk Benders-based branch-and-cut Gate assignment operations Two-stage stochastic programming
ISSN:	0360-8352
Online-Zugang:	Volltext
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