Abstract
A Negotiable Evolutionary Algorithm (NEA) meta-heuristic approach is presented in this paper for solving the Integrated Production Planning and Scheduling (IPPS) problem in Flexible Manufacturing Systems (FMS). The NEA approach addresses the rationales that we have identified as the key features required for effectively solving complex IPPS problems. Considerable experiments have been conducted and the results have confirmed that NEA outperforms the conventional EA approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 |
| Pages | 496-500 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen Duration: 2010 Oct 29 → 2010 Oct 31 |
Other
| Other | 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 |
|---|---|
| City | Xiamen |
| Period | 10/10/29 → 10/10/31 |
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Keywords
- Evolutionary algorithm
- Flexible manufacturing
- Negotiation
- Production planning
- Scheduling
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
Application of negotiable evolutionary algorithm in flexible manufacturing planning and scheduling. / Hao, X.; Lin, H. W.; Murata, Tomohiro.
Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. p. 496-500 5646565.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Application of negotiable evolutionary algorithm in flexible manufacturing planning and scheduling
AU - Hao, X.
AU - Lin, H. W.
AU - Murata, Tomohiro
PY - 2010
Y1 - 2010
N2 - A Negotiable Evolutionary Algorithm (NEA) meta-heuristic approach is presented in this paper for solving the Integrated Production Planning and Scheduling (IPPS) problem in Flexible Manufacturing Systems (FMS). The NEA approach addresses the rationales that we have identified as the key features required for effectively solving complex IPPS problems. Considerable experiments have been conducted and the results have confirmed that NEA outperforms the conventional EA approach.
AB - A Negotiable Evolutionary Algorithm (NEA) meta-heuristic approach is presented in this paper for solving the Integrated Production Planning and Scheduling (IPPS) problem in Flexible Manufacturing Systems (FMS). The NEA approach addresses the rationales that we have identified as the key features required for effectively solving complex IPPS problems. Considerable experiments have been conducted and the results have confirmed that NEA outperforms the conventional EA approach.
KW - Evolutionary algorithm
KW - Flexible manufacturing
KW - Negotiation
KW - Production planning
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=78650607857&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650607857&partnerID=8YFLogxK
U2 - 10.1109/ICIEEM.2010.5646565
DO - 10.1109/ICIEEM.2010.5646565
M3 - Conference contribution
AN - SCOPUS:78650607857
SN - 9781424464814
SP - 496
EP - 500
BT - Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
ER -