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Lee, Seungchul
iSystems Design Lab
Research Interests
  • Intelligent design for products and manufacturing systems


Hidden maintenance opportunities in discrete and complex production lines

DC Field Value Language Gu, Xi ko Lee, Seungchul ko Liang, Xinran ko Garcellano, Mark ko Diederichs, Mark ko Ni, Jun ko 2014-11-07T04:12:26Z - 2014-11-06 ko 2013-09 -
dc.identifier.citation EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.11, pp.4353 - 4361 ko
dc.identifier.issn 0957-4174 ko
dc.identifier.uri -
dc.identifier.uri ko
dc.description.abstract In manufacturing systems, many maintenance tasks require equipment to be stopped in order to safely perform them. However, such stoppage cannot last for too long since it might directly result in short-term production losses. In this paper, we investigate how long we can strategically shut down equipment for maintenance during scheduled operations without affecting system throughput. Using the concept of maintenance opportunity windows (MOWs), we estimate such time intervals for various system configurations. Simulations are used to deal with uncertainties in production lines, such as random machine failures, starvations, blockages, etc. Moreover, the proposed MOW algorithms are demonstrated through simulations and real case studies in an automotive assembly plant. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.subject Complex manufacturing systems ko
dc.subject Discrete production ko
dc.subject Maintenance opportunity windows ko
dc.title Hidden maintenance opportunities in discrete and complex production lines ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84876061792 ko
dc.identifier.wosid 000318052300007 ko
dc.type.rims ART ko
dc.description.wostc 5 * 2015-05-06 *
dc.identifier.doi 10.1016/j.eswa.2013.01.016 ko
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