Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

Optimization Research on Multi-objects Aircraft Maintenance Shop Scheduling Problem

Authors
Shaohua Yang, Ying Wang, Gang Liu
Corresponding Author
Shaohua Yang
Available Online July 2016.
DOI
https://doi.org/10.2991/mcae-16.2016.29How to use a DOI?
Keywords
military aircraft; maintenance shop; coupling constraint; multi-objects
Abstract

To make the maintenance adapt for the modern aircraft, the modeling and scheduling algorithm of aircraft maintenance shop scheduling problem are discussed. At the base of maintenance shop scheduling modeling referring to the formalization of flexible job shop scheduling problem, genetic algorithm is adopted as framework, where the execution steps are designed, and the coupling operator is introduced to adapt the operation sequence part of chromosome to avoid the situation that the chromosome might violate the coupling constraint and could not decode. Subsequently, applicability and quality of multi-objects scheduling algorithm are verified through maintenance shop example.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-237-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mcae-16.2016.29How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shaohua Yang
AU  - Ying Wang
AU  - Gang Liu
PY  - 2016/07
DA  - 2016/07
TI  - Optimization Research on Multi-objects Aircraft Maintenance Shop Scheduling Problem
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 119
EP  - 124
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.29
DO  - https://doi.org/10.2991/mcae-16.2016.29
ID  - Yang2016/07
ER  -