An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations

•Developments of two new Multi-Objective Mixed Integer Linear Programming (MMILP) formulations for the Airline Fleet Maintenance Scheduling problem.•Development of an iterative algorithm for solving large-scale real world instances efficiently.•Testing of the solution methodology using a 30-day plan...

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Veröffentlicht in:	Transportation research. Part B: methodological Jg. 133; S. 142 - 164
Hauptverfasser:	Sanchez, David Torres, Boyacı, Burak, Zografos, Konstantinos G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2020 Elsevier Science Ltd
Schlagworte:	Aircraft Aircraft maintenance Aircraft reliability Airline maintenance scheduling Airline operations Airlines Algorithms Commercial aircraft Computer applications Flight Integer programming Iterative algorithms Iterative methods Linear programming Maintenance management Mixed integer Multi-objective mixed integer linear programming Multiple objective analysis Operating costs Optimization Schedules Scheduling Tail assignment Tails Violations Workshops Tail assignment Airline maintenance scheduling Multi-objective mixed integer linear programming
ISSN:	0191-2615, 1879-2367
Online-Zugang:	Volltext
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