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Article: Factorial effects on the performance of closed-loop asynchronous automatic assembly systems

TitleFactorial effects on the performance of closed-loop asynchronous automatic assembly systems
Authors
KeywordsAas
Automatic Assembly System
Factorial Experiment
Pallet Optimisation
Simulation
Issue Date2010
PublisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijmtm
Citation
International Journal Of Manufacturing Technology And Management, 2010, v. 20 n. 1-4, p. 156-168 How to Cite?
AbstractAn automatic assembly system is typically composed of a number of workstations and a transport system. Each assembly is moved on a carrier called a pallet. It is difficult to analyse the performance of the system since its overall performance is affected by many factors, like the number of stations installed, the number of pallets installed, the buffer units between two stations, the reliability of the workstations and the transport delay time. Therefore, a major challenge to a design engineer is to find the optimal combination of the factors to achieve the highest productivity at the lowest cost. However, research work addressing this issue has not been adequate. This paper develops a simulation model to study the performance characteristics of the system, analyse the impact of each factor on its overall performance and identify its optimal configuration. The paper also provides guidelines for optimising the overall performance of the system. © 2010 Inderscience Enterprises Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/155928
ISSN
2015 SCImago Journal Rankings: 0.183
References

 

DC FieldValueLanguage
dc.contributor.authorLeung, WKen_US
dc.contributor.authorNg, WCen_US
dc.date.accessioned2012-08-08T08:38:27Z-
dc.date.available2012-08-08T08:38:27Z-
dc.date.issued2010en_US
dc.identifier.citationInternational Journal Of Manufacturing Technology And Management, 2010, v. 20 n. 1-4, p. 156-168en_US
dc.identifier.issn1368-2148en_US
dc.identifier.urihttp://hdl.handle.net/10722/155928-
dc.description.abstractAn automatic assembly system is typically composed of a number of workstations and a transport system. Each assembly is moved on a carrier called a pallet. It is difficult to analyse the performance of the system since its overall performance is affected by many factors, like the number of stations installed, the number of pallets installed, the buffer units between two stations, the reliability of the workstations and the transport delay time. Therefore, a major challenge to a design engineer is to find the optimal combination of the factors to achieve the highest productivity at the lowest cost. However, research work addressing this issue has not been adequate. This paper develops a simulation model to study the performance characteristics of the system, analyse the impact of each factor on its overall performance and identify its optimal configuration. The paper also provides guidelines for optimising the overall performance of the system. © 2010 Inderscience Enterprises Ltd.en_US
dc.languageengen_US
dc.publisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijmtmen_US
dc.relation.ispartofInternational Journal of Manufacturing Technology and Managementen_US
dc.subjectAasen_US
dc.subjectAutomatic Assembly Systemen_US
dc.subjectFactorial Experimenten_US
dc.subjectPallet Optimisationen_US
dc.subjectSimulationen_US
dc.titleFactorial effects on the performance of closed-loop asynchronous automatic assembly systemsen_US
dc.typeArticleen_US
dc.identifier.emailNg, WC:ngwc@hkucc.hku.hken_US
dc.identifier.authorityNg, WC=rp00160en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-77953840492en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77953840492&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume20en_US
dc.identifier.issue1-4en_US
dc.identifier.spage156en_US
dc.identifier.epage168en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLeung, WK=36135739200en_US
dc.identifier.scopusauthoridNg, WC=7401613494en_US

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