Reliability estimation based on operational data of manufacturing systems
dc.contributor.author | Li, Lin | en_US |
dc.contributor.author | Ni, Jun | en_US |
dc.date.accessioned | 2008-11-03T18:52:46Z | |
dc.date.available | 2010-01-05T16:59:14Z | en_US |
dc.date.issued | 2008-11 | en_US |
dc.identifier.citation | Li, Lin; Ni, Jun (2008). "Reliability estimation based on operational data of manufacturing systems." Quality and Reliability Engineering International 24(7): 843-854. <http://hdl.handle.net/2027.42/61212> | en_US |
dc.identifier.issn | 0748-8017 | en_US |
dc.identifier.issn | 1099-1638 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/61212 | |
dc.description.abstract | Maintenance management has a direct influence on equipment reliability and safety. However, a large portion of traditional maintenance models and reliability analysis methods usually assumes that only perfect maintenance is performed on the system and the system will restore to as good as new regardless of the kind of preventive maintenance work-order that is performed. This is not practical in reality and may result in an inaccurate parametric estimation. The research objective of this paper is to develop a maximum likelihood estimation method to obtain more accurately estimated parameters based on the operational data of manufacturing systems, taking into consideration the difference between perfect and imperfect maintenance work-orders. Weibull distribution is specifically studied for this purpose. A practical case study based on industrial operational data from an automotive assembly line is performed to illustrate the implementation and efficiency of the proposed reliability estimation method. Copyright © 2008 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 455107 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Electronic, Electrical & Telecommunications Engineering | en_US |
dc.title | Reliability estimation based on operational data of manufacturing systems | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan—Ann Arbor, 1035 H. H. Dow, 2300 Hayward Street, Ann Arbor, 48109-2136 MI, U.S.A. ; Department of Mechanical Engineering, University of Michigan—Ann Arbor, 1035 H. H. Dow, 2300 Hayward Street, Ann Arbor, 48109-2136 MI, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan—Ann Arbor, 1023 H. H. Dow, 2300 Hayward Street, Ann Arbor, 48109-2136 MI, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/61212/1/959_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/qre.959 | en_US |
dc.identifier.source | Quality and Reliability Engineering International | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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