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Article: A two-level genetic algorithm for scheduling in assembly islands with fixed-position layouts

TitleA two-level genetic algorithm for scheduling in assembly islands with fixed-position layouts
Authors
KeywordsAssembly islands
Genetic algorithm
Scheduling
Issue Date2010
PublisherSpringer. The Journal's web site is located at http://www.springer.com/engineering/journal/11518
Citation
Journal Of Systems Science And Systems Engineering, 2010, v. 19 n. 2, p. 150-161 How to Cite?
AbstractThis paper focuses on the scheduling problem in assembly islands environment with fixed-position layouts. In such configuration, the product normally remains in one location for its entire manufacturing period while machines, materials and workers are moved to an assembly site called an assembly island. This production layout has some unique features such as moving assembly workers, tools and materials; limited space at assembly site; considerable distance between islands. The authors first give the definition and mathematical model for the scheduling problem and then propose a two-level genetic algorithm to obtain a near optimal solution to minimize the makespan. Experimental results show that this algorithm is effective. The performance analysis of the proposed algorithm indicates that it is more efficient in the airline or shipbuilding industry than in the machine or tool final assembly companies. © 2010 Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/74281
ISSN
2015 Impact Factor: 0.804
2015 SCImago Journal Rankings: 0.373
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorQin, Wen_HK
dc.contributor.authorHuang, GQen_HK
dc.date.accessioned2010-09-06T06:59:44Z-
dc.date.available2010-09-06T06:59:44Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal Of Systems Science And Systems Engineering, 2010, v. 19 n. 2, p. 150-161en_HK
dc.identifier.issn1004-3756en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74281-
dc.description.abstractThis paper focuses on the scheduling problem in assembly islands environment with fixed-position layouts. In such configuration, the product normally remains in one location for its entire manufacturing period while machines, materials and workers are moved to an assembly site called an assembly island. This production layout has some unique features such as moving assembly workers, tools and materials; limited space at assembly site; considerable distance between islands. The authors first give the definition and mathematical model for the scheduling problem and then propose a two-level genetic algorithm to obtain a near optimal solution to minimize the makespan. Experimental results show that this algorithm is effective. The performance analysis of the proposed algorithm indicates that it is more efficient in the airline or shipbuilding industry than in the machine or tool final assembly companies. © 2010 Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg.en_HK
dc.languageengen_HK
dc.publisherSpringer. The Journal's web site is located at http://www.springer.com/engineering/journal/11518en_HK
dc.relation.ispartofJournal of Systems Science and Systems Engineeringen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectAssembly islandsen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectSchedulingen_HK
dc.titleA two-level genetic algorithm for scheduling in assembly islands with fixed-position layoutsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1004-3756&volume=19&issue=2&spage=150&epage=161&date=2010&atitle=A+two-level+genetic+algorithm+for+scheduling+in+assembly+islands+with+fixed-position+layoutsen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11518-010-5133-yen_HK
dc.identifier.scopuseid_2-s2.0-77954176140en_HK
dc.identifier.hkuros169607en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77954176140&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue2en_HK
dc.identifier.spage150en_HK
dc.identifier.epage161en_HK
dc.identifier.isiWOS:000279005100003-
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridQin, W=36057199000en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.citeulike7290298-

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