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Conference Paper: Performance analysis based Markov theory for hybrid control serial production lines

TitlePerformance analysis based Markov theory for hybrid control serial production lines
Authors
KeywordsConwip
Hybrid
Kanban
Markov
Production Systems
Steady-State Probability Distribution
Issue Date2010
Citation
2010 Chinese Control And Decision Conference, Ccdc 2010, 2010, p. 2877-2881 How to Cite?
AbstractThis paper studied a multiple-stage tandem production system. The control strategy is Hybrid which combines Kanban and CONWIP strategy together. The objective here is to evaluate the performance of the system by Markov chain models. We focus on Work-In-Process (WIP) and lost rate of the system. In general it is hard to obtain an exact analytical result of the system. Thus some approximation methods are proposed here. A simple situation is considered and formulated as a Markov chain process. Then we derive the steady-state probability of the system for two and three machines case, and obtain the WIP and the lost rate. The formulations proposed show the connection of control cards and performance measures. The method can extended to the case of multiple machines. We also present the results of a simulation study that tests the performance of our approach. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158873
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTang, Yen_US
dc.contributor.authorHuang, Men_US
dc.contributor.authorChing, WKen_US
dc.date.accessioned2012-08-08T09:04:02Z-
dc.date.available2012-08-08T09:04:02Z-
dc.date.issued2010en_US
dc.identifier.citation2010 Chinese Control And Decision Conference, Ccdc 2010, 2010, p. 2877-2881en_US
dc.identifier.urihttp://hdl.handle.net/10722/158873-
dc.description.abstractThis paper studied a multiple-stage tandem production system. The control strategy is Hybrid which combines Kanban and CONWIP strategy together. The objective here is to evaluate the performance of the system by Markov chain models. We focus on Work-In-Process (WIP) and lost rate of the system. In general it is hard to obtain an exact analytical result of the system. Thus some approximation methods are proposed here. A simple situation is considered and formulated as a Markov chain process. Then we derive the steady-state probability of the system for two and three machines case, and obtain the WIP and the lost rate. The formulations proposed show the connection of control cards and performance measures. The method can extended to the case of multiple machines. We also present the results of a simulation study that tests the performance of our approach. ©2010 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2010 Chinese Control and Decision Conference, CCDC 2010en_US
dc.subjectConwipen_US
dc.subjectHybriden_US
dc.subjectKanbanen_US
dc.subjectMarkoven_US
dc.subjectProduction Systemsen_US
dc.subjectSteady-State Probability Distributionen_US
dc.titlePerformance analysis based Markov theory for hybrid control serial production linesen_US
dc.typeConference_Paperen_US
dc.identifier.emailChing, WK:wching@hku.hken_US
dc.identifier.authorityChing, WK=rp00679en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/CCDC.2010.5498688en_US
dc.identifier.scopuseid_2-s2.0-77955394250en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955394250&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage2877en_US
dc.identifier.epage2881en_US
dc.identifier.isiWOS:000290460301218-
dc.identifier.scopusauthoridTang, Y=55231477500en_US
dc.identifier.scopusauthoridHuang, M=26643214600en_US
dc.identifier.scopusauthoridChing, WK=13310265500en_US

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