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Estimating the throughput of an exponential CONWIP assembly system
dc.contributor.authorDuenyas, Izaken_US
dc.contributor.authorHopp, Wallace J.en_US
dc.date.accessioned2006-09-11T19:10:23Z
dc.date.available2006-09-11T19:10:23Z
dc.date.issued1993-03en_US
dc.identifier.citationDuenyas, Izak; Hopp, Wallace J.; (1993). "Estimating the throughput of an exponential CONWIP assembly system." Queueing Systems 14 (1-2): 135-157. <http://hdl.handle.net/2027.42/47599>en_US
dc.identifier.issn0257-0130en_US
dc.identifier.issn1572-9443en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47599
dc.description.abstractWe consider a production system consisting of several fabrication lines feeding an assembly station where both fabrication and assembly lines consist of multiple machine exponential workstations and the CONWIP (CONstant Work-In-Process) mechanism is used to regulate work releases. We model this system as an assembly-like queue and develop approximations for the throughput and average number of jobs in queue. These approximations use an estimate of the time that jobs from each line spend waiting for jobs from other lines before being assembled. We use our approximations to gain insight into the related problems of capacity allocation, bottleneck placement and WIP setting.en_US
dc.format.extent1361604 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; J.C. Baltzer AG, Science Publishers ; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherComputer Communication Networksen_US
dc.subject.otherSystems Theory, Controlen_US
dc.subject.otherProbability Theory and Stochastic Processesen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherProduction/Logisticsen_US
dc.subject.otherAssembly-like Queuesen_US
dc.subject.otherApproximationsen_US
dc.subject.otherThroughput, Design Issuesen_US
dc.titleEstimating the throughput of an exponential CONWIP assembly systemen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, The University of Michigan, 48109, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationotherDepartment of Industrial Engineering and Management Sciences, Northwestern University, 60208, Evanston, Illinois, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47599/1/11134_2005_Article_BF01153531.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01153531en_US
dc.identifier.sourceQueueing Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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