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Conference Paper: Optimal (s, S) policies for manufacturing systems of unreliable machines in tandem

TitleOptimal (s, S) policies for manufacturing systems of unreliable machines in tandem
Authors
Issue Date1998
Citation
Proceedings Of The Annual Reliability And Maintainability Symposium, 1998, p. 365-371 How to Cite?
AbstractThis paper studies optimal (s, S) policies for production planning in manufacturing systems of unreliable machines in tandem. The manufacturing system produces one type of product. This type of manufacturing system occurs in many applications. In our study we assume that the inter-arrival time of a demand and processing time for one product in each machine are exponentially distributed. Each machine is unreliable and is subject to a sequence of repairing processes when it is broken down. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with random supply and demand. The Markov-Modulated Poisson Process (MMPP) is used to model the random process of supply. For each machine, we obtain the approximated optimal (s, S) policies which minimizes the average running cost of its buffer.
Persistent Identifierhttp://hdl.handle.net/10722/158853
ISSN
2005 Impact Factor: 0.029

 

DC FieldValueLanguage
dc.contributor.authorChing, Wai Kien_US
dc.date.accessioned2012-08-08T09:03:55Z-
dc.date.available2012-08-08T09:03:55Z-
dc.date.issued1998en_US
dc.identifier.citationProceedings Of The Annual Reliability And Maintainability Symposium, 1998, p. 365-371en_US
dc.identifier.issn0149-144Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/158853-
dc.description.abstractThis paper studies optimal (s, S) policies for production planning in manufacturing systems of unreliable machines in tandem. The manufacturing system produces one type of product. This type of manufacturing system occurs in many applications. In our study we assume that the inter-arrival time of a demand and processing time for one product in each machine are exponentially distributed. Each machine is unreliable and is subject to a sequence of repairing processes when it is broken down. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with random supply and demand. The Markov-Modulated Poisson Process (MMPP) is used to model the random process of supply. For each machine, we obtain the approximated optimal (s, S) policies which minimizes the average running cost of its buffer.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of the Annual Reliability and Maintainability Symposiumen_US
dc.titleOptimal (s, S) policies for manufacturing systems of unreliable machines in tandemen_US
dc.typeConference_Paperen_US
dc.identifier.emailChing, Wai Ki:wching@hku.hken_US
dc.identifier.authorityChing, Wai Ki=rp00679en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0031675599en_US
dc.identifier.spage365en_US
dc.identifier.epage371en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridChing, Wai Ki=13310265500en_US

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