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Event-driven model of unreliable production lines with storage

Yannis Phillis, Caramanis, Michael C, Finger Susan, D'Angelo Henry, Mavretic Anton, Ramsden Edward

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URIhttp://purl.tuc.gr/dl/dias/A817F6EE-D141-43B3-9EDB-86F8532C0130-
Identifierhttps://doi.org/10.1080/00207548808947933-
Identifierhttps://www.tandfonline.com/doi/abs/10.1080/00207548808947933-
Languageen-
Extent9 pagesen
TitleEvent-driven model of unreliable production lines with storageen
CreatorYannis Phillisen
CreatorΦιλλης Ιωαννηςel
CreatorCaramanis, Michael Cen
CreatorFinger Susanen
CreatorD'Angelo Henryen
CreatorMavretic Antonen
CreatorRamsden Edwarden
PublisherTaylor & Francisen
Content SummaryWe have developed an event-driven algorithm for simulating a factory production line with storage. Using this algorithm, a production line, with an arbitrary number of machines each processing items at different rates and with buffers of any size, can be modeled efficiently. The algorithm is based on computing the time to the next event for each buffer and machine, where the events are: a buffer becomes full, a buffer becomes empty, a machine fails, and a machine is repaired. By collapsing the production line to exclude empty buffers that stay empty and full buffers that stay full, piece-by-piece computation is avoided. Computation time is reduced further by updating a buffer only when the input or output rate of that buffer changes or when the state of that buffer changes. An example of a line consisting of 100 machines and 99 buffers illustrates the efficiency of the model. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-06-
Date of Publication1988-
SubjectAlgorithm, Annealingen
SubjectAlgorithm, Probabilistic exchangeen
SubjectAnnealing, Monte Carloen
SubjectAnnealing, Simulateden
SubjectAnnealing algorithmen
SubjectCooling, Statisticalen
SubjectExchange algorithm, Probabilisticen
SubjectHill climbing, Probabilisticen
SubjectMonte Carlo annealingen
SubjectProbabilistic exchange algorithmen
SubjectProbabilistic hill climbingen
SubjectRelaxation, Stochasticen
SubjectStatistical coolingen
SubjectStochastic relaxationen
Subjectsimulated annealing mathematicsen
Subjectalgorithm annealingen
Subjectalgorithm probabilistic exchangeen
Subjectannealing monte carloen
Subjectannealing simulateden
Subjectannealing algorithmen
Subjectcooling statisticalen
Subjectexchange algorithm probabilisticen
Subjecthill climbing probabilisticen
Subjectmonte carlo annealingen
Subjectprobabilistic exchange algorithmen
Subjectprobabilistic hill climbingen
Subjectrelaxation stochasticen
Subjectstatistical coolingen
Subjectstochastic relaxationen
Bibliographic CitationH. D’Angelo, M. Caramanis, S. Finger, A. Mavretic, Y. A. Phillis and E. Ramsden, "Event-driven model of unreliable production lines with storage," Int. J. Produc. Res., vol. 26, no. 7, pp. 1173-1182, Jul. 1988. doi: 10.1080/00207548808947933 en

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