Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Integrated Optimization of Flexible Job Shop Scheduling Problem and Equipment Maintenance Plan

Authors
Jing Zha, Hua Jin, Zhicheng Pan, Qingsong Yuan
Corresponding Author
Jing Zha
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.233How to use a DOI?
Keywords
Flexible job shop; Shop Scheduling; Equipment Maintenance;
Abstract
This paper researches the integrated optimization of flexible job shop scheduling problem (FJSP) and equipment maintenance plan. The object of the integrated optimization model is to pursue the minimum of makespan. The paper proposed a two-stage algorithm based on the genetic algorithm to solve the problem. Firstly generated basic FJSP schedules. Secondly when the reliability of the equipment is below the threshold value probabilistically arranged the unequal periodic equipment maintenance at the equipment’s free time. Then obtained an integrated plan. The optimization result of a practical example showed that the makespan of the integrated optimization was less than the makespan of equipment maintenance at regular intervals.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.233How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Zha
AU  - Hua Jin
AU  - Zhicheng Pan
AU  - Qingsong Yuan
PY  - 2015/12
DA  - 2015/12
TI  - Integrated Optimization of Flexible Job Shop Scheduling Problem and Equipment Maintenance Plan
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.233
DO  - https://doi.org/10.2991/icmmcce-15.2015.233
ID  - Zha2015/12
ER  -