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Design and control of agile automated CONWIP production lines

dc.contributor.authorHopp, Wallace Johnen_US
dc.contributor.authorIravani, Seyed M. R.en_US
dc.contributor.authorShou, Biyingen_US
dc.contributor.authorLien, Roberten_US
dc.date.accessioned2009-02-03T16:16:31Z
dc.date.available2010-04-14T17:40:06Zen_US
dc.date.issued2009-02en_US
dc.identifier.citationHopp, Wallace J.; Iravani, Seyed M.R.; Shou, Biying; Lien, Robert (2009). "Design and control of agile automated CONWIP production lines." Naval Research Logistics 56(1): 42-56. <http://hdl.handle.net/2027.42/61525>en_US
dc.identifier.issn0894-069Xen_US
dc.identifier.issn1520-6750en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/61525
dc.description.abstractIn this article, we study the design and control of manufacturing cells with a mix of manual and automated equipment, operating under a CONWIP pull protocol, and staffed by a single agile (cross-trained) worker. For a three-station line with one automated station, we fully characterize the structure of the optimal control policy for the worker and show that it is a static priority policy. Using analytical models and extensive simulation experiments, we also evaluate the effectiveness of practical heuristic control policies and provide managerial insights on automation configuration design of the line. This characterization of the worker control policy enables us to develop managerial insights into the design issues of how best to locate and concentrate automation in the line. Finally, we show that, in addition to ease of control and greater design flexibility, the CONWIP protocol also offers higher efficiency and robustness than does the push protocol. © 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009en_US
dc.format.extent193082 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherMathematics and Statisticsen_US
dc.titleDesign and control of agile automated CONWIP production linesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumRoss School of Business, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherDepartment of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois ; Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinoisen_US
dc.contributor.affiliationotherDepartment of Management Sciences, City University of Hong Kong, Hong Kong S.A.R., Chinaen_US
dc.contributor.affiliationotherDepartment of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinoisen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61525/1/20325_ftp.pdf
dc.identifier.doihttp://dx.doi.org/10.1002/nav.20325en_US
dc.identifier.sourceNaval Research Logisticsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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