Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Coordinated scheduling technology of multi-level relevance resources based on improved genetic algorithm

Authors
Zhibing Lu, Aimin Wang, Chengtong Tang
Corresponding Author
Zhibing Lu
Available Online December 2015.
DOI
10.2991/icmse-15.2015.265How to use a DOI?
Keywords
Multi-level relevance resources, Genetic Algorithm, Job-shop scheduling, Dynamic resources combination, Coordinated scheduling constraint
Abstract

In the actual process of production, there is a practical situation that multi-level relevance resources such as operators, machines, fixtures and cutters participate in the job-shop operation. Different from traditional production scheduling which focuses on machines, this scheduling problem add constraints among operators, fixtures and cutters. This paper presents a new method based on improved genetic algorithm(GA) for multi-level relevance resources coordinated scheduling. This method consists mainly of two parts: (1) dynamic combination for multi-level relevance resources based on improved GA, which meets the matching relationship between multi-level relevance resources and selects the best combination of multi-level relevance resources through fitness calculation. (2) scheduling time calculation for multi-level relevance resources processes(MRRP) is proposed, which according to the processes occupancy of multi-level relevance resources, and used for finding the earliest available time span to insert MRRP. Finally, the results have demonstrated the effectiveness of the method with practical example.

Copyright
© 2015, 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/).

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Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icmse-15.2015.265
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.265How to use a DOI?
Copyright
© 2015, 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  - Zhibing Lu
AU  - Aimin Wang
AU  - Chengtong Tang
PY  - 2015/12
DA  - 2015/12
TI  - Coordinated scheduling technology of multi-level relevance resources based on improved genetic algorithm
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1471
EP  - 1477
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.265
DO  - 10.2991/icmse-15.2015.265
ID  - Lu2015/12
ER  -