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Article: Markovian approximation for manufacturing systems of unreliable machines in tandem

TitleMarkovian approximation for manufacturing systems of unreliable machines in tandem
Authors
Issue Date2001
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://as.wiley.com/WileyCDA/WileyTitle/productCd-NAV.html
Citation
Naval Research Logistics, 2001, v. 48 n. 1, p. 65-78 How to Cite?
AbstractThis paper studies production planning of manufacturing systems of unreliable machines in tandem. The manufacturing system considered here produces one type of product. The demand is assumed to be a Poisson process and the processing time for one unit of product in each machine is exponentially distributed. A broken machine is subject to a sequence of repairing processes. 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 stochastic supply and demand. The Markov Modulated Poisson Process (MMPP) is applied to model the process of supply. Numerical examples are given to demonstrate the accuracy of the proposed method. We employ (s, S) policy as production control. Fast algorithms are presented to solve the average running costs of the machine system for a given (s, S) policy and hence the approximated optimal (s, S) policy.
Persistent Identifierhttp://hdl.handle.net/10722/75419
ISSN
2015 Impact Factor: 0.787
2015 SCImago Journal Rankings: 1.134
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChing, WKen_HK
dc.date.accessioned2010-09-06T07:10:56Z-
dc.date.available2010-09-06T07:10:56Z-
dc.date.issued2001en_HK
dc.identifier.citationNaval Research Logistics, 2001, v. 48 n. 1, p. 65-78en_HK
dc.identifier.issn0894-069Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/75419-
dc.description.abstractThis paper studies production planning of manufacturing systems of unreliable machines in tandem. The manufacturing system considered here produces one type of product. The demand is assumed to be a Poisson process and the processing time for one unit of product in each machine is exponentially distributed. A broken machine is subject to a sequence of repairing processes. 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 stochastic supply and demand. The Markov Modulated Poisson Process (MMPP) is applied to model the process of supply. Numerical examples are given to demonstrate the accuracy of the proposed method. We employ (s, S) policy as production control. Fast algorithms are presented to solve the average running costs of the machine system for a given (s, S) policy and hence the approximated optimal (s, S) policy.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://as.wiley.com/WileyCDA/WileyTitle/productCd-NAV.htmlen_HK
dc.relation.ispartofNaval Research Logisticsen_HK
dc.titleMarkovian approximation for manufacturing systems of unreliable machines in tandemen_HK
dc.typeArticleen_HK
dc.identifier.emailChing, WK:wching@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/1520-6750(200102)48:1<65::AID-NAV4>3.0.CO;2-5en_HK
dc.identifier.scopuseid_2-s2.0-0035252464en_HK
dc.identifier.hkuros63213en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035252464&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue1en_HK
dc.identifier.spage65en_HK
dc.identifier.epage78en_HK
dc.identifier.isiWOS:000166476100004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChing, WK=13310265500en_HK

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