Air cargo fleet routing and timetable setting with multiple on-time demands

In this research we combine airport selection, fleet routing and timetable setting to develop an integrated scheduling model. The objective is to maximize operating profit, given the related operating constraints. The model is formulated as a mixed integer program that is characterized as NP-hard. W...

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Veröffentlicht in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2006-09, Vol.42 (5), p.409-430
Hauptverfasser: Yan, Shangyao, Chen, Shin-Chin, Chen, Chia-Hung
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container_title Transportation research. Part E, Logistics and transportation review
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creator Yan, Shangyao
Chen, Shin-Chin
Chen, Chia-Hung
description In this research we combine airport selection, fleet routing and timetable setting to develop an integrated scheduling model. The objective is to maximize operating profit, given the related operating constraints. The model is formulated as a mixed integer program that is characterized as NP-hard. We develop several heuristics, and incorporate the use a mathematical programming solver, to solve the problem. To evaluate the model and the solution algorithms, we perform a case study using real operating data from a major Taiwan airline. The results show that the model and the solution algorithms could be useful for actual operations.
doi_str_mv 10.1016/j.tre.2005.02.002
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ispartof Transportation research. Part E, Logistics and transportation review, 2006-09, Vol.42 (5), p.409-430
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1878-5794
language eng
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source RePEc; Elsevier ScienceDirect Journals
subjects Air freight service
Airline scheduling
Airport selection
Airports
Algorithms
Cargo
Cargo Airport selection Fleet routing Timetables Time-space network
Fleet routing
Heuristic
Integer programming
Mathematical programming
Route optimization
Studies
Timetables
Time–space network
title Air cargo fleet routing and timetable setting with multiple on-time demands
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