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Study on the job shop dynamic scheduling under fuzzy environments
Li FM(李富明); Zhu YL(朱云龙)
Department先进制造技术研究室
Conference NameInternational Conference on Computational-Intelligence and Security
Conference DateNovember 03-06, 2006
Conference PlaceGuangzhou, China
Author of SourceIEEE Hong Kong Computat Intelligence Chapter, Guangdong Univ Technol, Xidian Univ, Hong Kong Baptist Univ, Jian Univ
Source Publication2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS
PublisherIEEE
Publication PlaceNEW YORK
2006
Pages90-96
Indexed ByEI ; CPCI(ISTP)
EI Accession number20080511069853
WOS IDWOS:000243679800017
Contribution Rank1
ISBN978-1-4244-0604-3
AbstractIn this paper, by considering Job Shop dynamic scheduling problem in fuzzy environments, the description and modeling of the manufacturing systems is presented A fuzzy dynamic scheduling strategy, in which compartmentalizing the period of time for rescheduling is based on computing triangular fuzzy number denoting the workpiece processing time, is proposed For being solved, the Job Shop fuzzy dynamic scheduling problem is decomposed into a series of static fuzzy sub-scheduling problems which will not be fully executed by means of the strategy of the temporal decomposition. An improved Giffler&Thompson(G&T) algorithm is proposed in order to solve the model of the above problem. The simulation results show that the model of the Job Shop fuzzy dynamic scheduling is proper, the improver G&T algorithm is effective and the strategy for dynamic scheduling possesses robustness.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19858
Collection工业信息学研究室_先进制造技术研究室
Corresponding AuthorLi FM(李富明)
Affiliation1.College of Electrical Engineering, Yanshan University, 066004 Qinhuangdao, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 Shenyang, China
Recommended Citation
GB/T 7714
Li FM,Zhu YL. Study on the job shop dynamic scheduling under fuzzy environments[C]//IEEE Hong Kong Computat Intelligence Chapter, Guangdong Univ Technol, Xidian Univ, Hong Kong Baptist Univ, Jian Univ. NEW YORK:IEEE,2006:90-96.
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