Design and control of agile automated CONWIP production lines
dc.contributor.author | Hopp, Wallace John | en_US |
dc.contributor.author | Iravani, Seyed M. R. | en_US |
dc.contributor.author | Shou, Biying | en_US |
dc.contributor.author | Lien, Robert | en_US |
dc.date.accessioned | 2009-02-03T16:16:31Z | |
dc.date.available | 2010-04-14T17:40:06Z | en_US |
dc.date.issued | 2009-02 | en_US |
dc.identifier.citation | Hopp, 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.issn | 0894-069X | en_US |
dc.identifier.issn | 1520-6750 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/61525 | |
dc.description.abstract | In 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 2009 | en_US |
dc.format.extent | 193082 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Mathematics and Statistics | en_US |
dc.title | Design and control of agile automated CONWIP production lines | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Ross School of Business, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationother | Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois ; Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois | en_US |
dc.contributor.affiliationother | Department of Management Sciences, City University of Hong Kong, Hong Kong S.A.R., China | en_US |
dc.contributor.affiliationother | Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/61525/1/20325_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/nav.20325 | en_US |
dc.identifier.source | Naval Research Logistics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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