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Conference Paper: A holistic approach to manufacturing cell formation: Incorporation of machine flexibility and machine aggregation

TitleA holistic approach to manufacturing cell formation: Incorporation of machine flexibility and machine aggregation
Authors
KeywordsAlternative routeings
Genetic algorithms
Machine-part grouping problem
Uncertainty
Issue Date2004
PublisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784
Citation
Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2004, v. 218 n. 10, p. 1279-1296 How to Cite?
AbstractOne of the most practical approaches of improving productivity in a factory is to adopt the superior concept and technique of cellular manufacturing (CM) based on group technology (GT). Particularly, cell formation is an important, critical and difficult step in CM. In general, there have been a number of methodologies proposed for solving a machine-part grouping problem (MPGP). Besides considering the simple cell formation problem, some researchers have focused on machine flexibility, in which parts are having alternative routeings/process plans. However, it is very rare to consider the area of aggregation and disaggregation of machines in cell formation under uncertain constraints and uncertainty. In the light of this, the main aim of this present work is to address the MPGP holistically with the considerations of machine flexibility as well as machine aggregation and disaggregation simultaneously. In addition, based on the availability of alternative routeings, a method is proposed to generate an alternative solution for machine breakdown situations. Thus, the problem nature of this work will be more realistic and practical for today's global manufacturing era. The problem scope has been identified and the model is formulated in mathematical programming form. The objective function of this model is to minimize the total intercellular and intracellular part movement. Since MPGP has been proved to be non-polynomial (NP) complete, a genetic algorithm (GA), which is an excellent optimization technique, is employed to solve this problem.
Persistent Identifierhttp://hdl.handle.net/10722/74473
ISSN
2015 Impact Factor: 0.978
2015 SCImago Journal Rankings: 0.541
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorLau, KWen_HK
dc.contributor.authorChan, PLYen_HK
dc.date.accessioned2010-09-06T07:01:40Z-
dc.date.available2010-09-06T07:01:40Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2004, v. 218 n. 10, p. 1279-1296en_HK
dc.identifier.issn0954-4054en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74473-
dc.description.abstractOne of the most practical approaches of improving productivity in a factory is to adopt the superior concept and technique of cellular manufacturing (CM) based on group technology (GT). Particularly, cell formation is an important, critical and difficult step in CM. In general, there have been a number of methodologies proposed for solving a machine-part grouping problem (MPGP). Besides considering the simple cell formation problem, some researchers have focused on machine flexibility, in which parts are having alternative routeings/process plans. However, it is very rare to consider the area of aggregation and disaggregation of machines in cell formation under uncertain constraints and uncertainty. In the light of this, the main aim of this present work is to address the MPGP holistically with the considerations of machine flexibility as well as machine aggregation and disaggregation simultaneously. In addition, based on the availability of alternative routeings, a method is proposed to generate an alternative solution for machine breakdown situations. Thus, the problem nature of this work will be more realistic and practical for today's global manufacturing era. The problem scope has been identified and the model is formulated in mathematical programming form. The objective function of this model is to minimize the total intercellular and intracellular part movement. Since MPGP has been proved to be non-polynomial (NP) complete, a genetic algorithm (GA), which is an excellent optimization technique, is employed to solve this problem.en_HK
dc.languageengen_HK
dc.publisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784en_HK
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufactureen_HK
dc.subjectAlternative routeingsen_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectMachine-part grouping problemen_HK
dc.subjectUncertaintyen_HK
dc.titleA holistic approach to manufacturing cell formation: Incorporation of machine flexibility and machine aggregationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.emailChan, PLY: plychan@hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.identifier.authorityChan, PLY=rp00093en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1243/0954405042323568en_HK
dc.identifier.scopuseid_2-s2.0-8344255886en_HK
dc.identifier.hkuros100457en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-8344255886&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume218en_HK
dc.identifier.issue10en_HK
dc.identifier.spage1279en_HK
dc.identifier.epage1296en_HK
dc.identifier.isiWOS:000225333000006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridLau, KW=36722692600en_HK
dc.identifier.scopusauthoridChan, PLY=7403540482en_HK

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