An aircraft service scheduling model using genetic algorithms
Cheung, Angus, Ip, W. H. , Lu, Dawei and Lai, C. L.. (2005) An aircraft service scheduling model using genetic algorithms. Journal of Manufacturing Technology Management, Vol.16 (No.1). pp. 109-119. ISSN 1741-038XFull text not available from this repository.
Official URL: http://dx.doi.org/10.1108/17410380510574112
Purpose – In this paper, the authors propose the application of an intelligent engine to develop a set of computational schedules for the maintenance of vehicles to cover all scheduled flights. The aim of the paper is to maximize the utilization of ground support vehicles and enhance the logistics of aircraft maintenance activities. Design/methodology/approach – A mathematical model is formulated and the solution is obtained using genetic algorithms (GA). Simulation is used to verify the method using an Excel GA generator. The model is illustrated with a numerical case study, and the experience of this project is summarized. Findings – The results indicate that this approach provides an effective and efficient schedule for deploying the maintenance equipment resources of the company, China Aircraft Service Limited. Originality/value – The proposed model using the GA generator provides an effective and efficient schedule for the aircraft maintenance services industry.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Library of Congress Subject Headings (LCSH):||Airplanes -- Maintenance and repair, Genetic algorithms, Production scheduling|
|Journal or Publication Title:||Journal of Manufacturing Technology Management|
|Publisher:||Emerald Group Publishing Limited|
|Page Range:||pp. 109-119|
|Access rights to Published version:||Restricted or Subscription Access|
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