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Article: Computational algorithms for modeling unreliable manufacturing systems based on Markovian property

TitleComputational algorithms for modeling unreliable manufacturing systems based on Markovian property
Authors
KeywordsContinuous Time Homogenous Markov Process
Global Balance Equation
Markovian Property
System-State Probability
Issue Date2001
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejor
Citation
European Journal Of Operational Research, 2001, v. 133 n. 3, p. 667-684 How to Cite?
AbstractPerformance measure is a critical factor used to judge the effectiveness of a system. In many cases, the ideal performance measure tends to be distorted by failure of machines. Ignoring reliability of equipment when modeling a system will result in overestimation of performance measures. Methods available for modeling unreliable systems involving determination of system-state probabilities are generally difficult and inefficient, especially when limits are set on the buffer size. Based on Markovian property, two computational algorithms are proposed for multi-stage open systems. The objective of these algorithms is to formulate global balance equations for different system states modularly and easily so that system-state probabilities and hence various performance measures can be determined. The elements of a system state are chosen such that they reflect the characteristics of a system as much as possible while keeping the model solution tractable and solvable. Numerical examples are used to illustrate the applications of the proposed algorithms, and their effectiveness and practicability are demonstrated by comparing with results obtained from simulation models. © 2001 Elsevier Science B.V.
Persistent Identifierhttp://hdl.handle.net/10722/155858
ISSN
2015 Impact Factor: 2.679
2015 SCImago Journal Rankings: 2.595
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChoi, SHen_US
dc.contributor.authorLee, JSLen_US
dc.date.accessioned2012-08-08T08:38:04Z-
dc.date.available2012-08-08T08:38:04Z-
dc.date.issued2001en_US
dc.identifier.citationEuropean Journal Of Operational Research, 2001, v. 133 n. 3, p. 667-684en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://hdl.handle.net/10722/155858-
dc.description.abstractPerformance measure is a critical factor used to judge the effectiveness of a system. In many cases, the ideal performance measure tends to be distorted by failure of machines. Ignoring reliability of equipment when modeling a system will result in overestimation of performance measures. Methods available for modeling unreliable systems involving determination of system-state probabilities are generally difficult and inefficient, especially when limits are set on the buffer size. Based on Markovian property, two computational algorithms are proposed for multi-stage open systems. The objective of these algorithms is to formulate global balance equations for different system states modularly and easily so that system-state probabilities and hence various performance measures can be determined. The elements of a system state are chosen such that they reflect the characteristics of a system as much as possible while keeping the model solution tractable and solvable. Numerical examples are used to illustrate the applications of the proposed algorithms, and their effectiveness and practicability are demonstrated by comparing with results obtained from simulation models. © 2001 Elsevier Science B.V.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejoren_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.rightsEuropean Journal of Operational Research. Copyright © Elsevier BV.-
dc.subjectContinuous Time Homogenous Markov Processen_US
dc.subjectGlobal Balance Equationen_US
dc.subjectMarkovian Propertyen_US
dc.subjectSystem-State Probabilityen_US
dc.titleComputational algorithms for modeling unreliable manufacturing systems based on Markovian propertyen_US
dc.typeArticleen_US
dc.identifier.emailChoi, SH:shchoi@hkucc.hku.hken_US
dc.identifier.authorityChoi, SH=rp00109en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0377-2217(00)00235-6en_US
dc.identifier.scopuseid_2-s2.0-0035899779en_US
dc.identifier.hkuros63081-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035899779&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume133en_US
dc.identifier.issue3en_US
dc.identifier.spage667en_US
dc.identifier.epage684en_US
dc.identifier.isiWOS:000169967800017-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridChoi, SH=7408119615en_US
dc.identifier.scopusauthoridLee, JSL=8438644700en_US

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