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Article: A genetic algorithm approach to machine flexibility problems in an ion plating cell

TitleA genetic algorithm approach to machine flexibility problems in an ion plating cell
Authors
KeywordsGenetic algorithm
Ion plating
Machine flexibility
Machine loading
Simulation
Issue Date2007
PublisherSpringer U K. The Journal's web site is located at http://www.springer.com/engineering/production+eng/journal/170
Citation
International Journal Of Advanced Manufacturing Technology, 2007, v. 31 n. 11-12, p. 1127-1134 How to Cite?
AbstractFor a long time, manufacturing industries have been concentrating on increasing productivity by increasing the size of the workforce, but this scenario has changed in last decade since the introduction of the term flexibility. Now, the manufacturers realize that flexibility of the machine environment can provide a better economic solution for improving productivity due to its quick response to the changing environment in the manufacturing industry. However, only very limited research on machine flexibility in the ion plating (IP) industry has been carried out and most of it has focused on product development and quality of coating. The aim of this paper is to determine the optimal level of machine flexibility in an ion plating cell (IPC) to improve the entire system performance. A machine loading sequencing (MLS) model based on a multi-objective genetic algorithm (GA) is developed and the case study of metal finishing company is discussed to validate the proposed model. Different levels of machine flexibility have been assigned to different machines to determine the optimal level to increase the overall system performance based on on-time delivery, quality of product and production cost. The results demonstrated that machine flexibility level in IPC should be zero under recent IP technology. However, when the IP technology is developed enough so that IP machine has the ability to produce different types of coating in high quality, machine flexibility should be introduced to enhance the overall system performance. © Springer-Verlag London Limited 2007.
Persistent Identifierhttp://hdl.handle.net/10722/74615
ISSN
2015 Impact Factor: 1.568
2015 SCImago Journal Rankings: 0.915
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorAu, KCen_HK
dc.contributor.authorChan, LYen_HK
dc.contributor.authorLau, TLen_HK
dc.contributor.authorChoy, KLen_HK
dc.date.accessioned2010-09-06T07:03:05Z-
dc.date.available2010-09-06T07:03:05Z-
dc.date.issued2007en_HK
dc.identifier.citationInternational Journal Of Advanced Manufacturing Technology, 2007, v. 31 n. 11-12, p. 1127-1134en_HK
dc.identifier.issn0268-3768en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74615-
dc.description.abstractFor a long time, manufacturing industries have been concentrating on increasing productivity by increasing the size of the workforce, but this scenario has changed in last decade since the introduction of the term flexibility. Now, the manufacturers realize that flexibility of the machine environment can provide a better economic solution for improving productivity due to its quick response to the changing environment in the manufacturing industry. However, only very limited research on machine flexibility in the ion plating (IP) industry has been carried out and most of it has focused on product development and quality of coating. The aim of this paper is to determine the optimal level of machine flexibility in an ion plating cell (IPC) to improve the entire system performance. A machine loading sequencing (MLS) model based on a multi-objective genetic algorithm (GA) is developed and the case study of metal finishing company is discussed to validate the proposed model. Different levels of machine flexibility have been assigned to different machines to determine the optimal level to increase the overall system performance based on on-time delivery, quality of product and production cost. The results demonstrated that machine flexibility level in IPC should be zero under recent IP technology. However, when the IP technology is developed enough so that IP machine has the ability to produce different types of coating in high quality, machine flexibility should be introduced to enhance the overall system performance. © Springer-Verlag London Limited 2007.en_HK
dc.languageengen_HK
dc.publisherSpringer U K. The Journal's web site is located at http://www.springer.com/engineering/production+eng/journal/170en_HK
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technologyen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectIon platingen_HK
dc.subjectMachine flexibilityen_HK
dc.subjectMachine loadingen_HK
dc.subjectSimulationen_HK
dc.titleA genetic algorithm approach to machine flexibility problems in an ion plating cellen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0268-3768&volume=31&spage=1127&epage=1134&date=2007&atitle=A+genetic+algorithm+approach+to+machine+flexibility+problems+in+an+ion+plating+cellen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.emailChan, LY: plychan@hku.hken_HK
dc.identifier.emailLau, TL: tllau@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.identifier.authorityChan, LY=rp00093en_HK
dc.identifier.authorityLau, TL=rp00138en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00170-005-0299-zen_HK
dc.identifier.scopuseid_2-s2.0-33846660700en_HK
dc.identifier.hkuros136121en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33846660700&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume31en_HK
dc.identifier.issue11-12en_HK
dc.identifier.spage1127en_HK
dc.identifier.epage1134en_HK
dc.identifier.isiWOS:000244335600009-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridAu, KC=8215393200en_HK
dc.identifier.scopusauthoridChan, LY=7403540482en_HK
dc.identifier.scopusauthoridLau, TL=7102222436en_HK
dc.identifier.scopusauthoridChoy, KL=7005477047en_HK
dc.identifier.citeulike1128163-

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