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Article: The application of the ant colony optimization algorithm to the construction site layout planning problem

TitleThe application of the ant colony optimization algorithm to the construction site layout planning problem
Authors
KeywordsAco Algorithm
Closeness Relationship
Heuristic
Site Layout
Issue Date2007
PublisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.asp
Citation
Construction Management And Economics, 2007, v. 25 n. 4, p. 359-374 How to Cite?
AbstractA good site layout is vital to ensure the safety of the working environment, and for effective and efficient operations. Moreover, it minimizes travel distance, decreases materials handling, and avoids the obstruction of materials and plant movement. Based on studies in the manufacturing industry, the cost of materials handling could be reduced by 20-60% if an appropriate facility layout is adopted. In designing a site layout, a planner will first position the key facilities that influence the method and sequence of construction, and then assign the remaining facilities in the available space that is left over. This process is similar to the positioning of facilities in the ant colony optimization (ACO) algorithm. The general principle of the ACO algorithm is to assign facilities to a location one by one, and the occupied locations are deleted from the location scope in the next assignment. In the study, ACO algorithm is employed to resolve the construction site layout planning problem in a hypothetical medium-sized construction project. By applying fuzzy reasoning and the entropy technique, the study calculates the closeness relationship between facilities, in which the optimal site layout is affected by the mutual interaction of facilities.
Persistent Identifierhttp://hdl.handle.net/10722/150406
ISSN
2015 SCImago Journal Rankings: 0.967
References

 

DC FieldValueLanguage
dc.contributor.authorLam, KCen_US
dc.contributor.authorNing, Xen_US
dc.contributor.authorNg, Ten_US
dc.date.accessioned2012-06-26T06:04:22Z-
dc.date.available2012-06-26T06:04:22Z-
dc.date.issued2007en_US
dc.identifier.citationConstruction Management And Economics, 2007, v. 25 n. 4, p. 359-374en_US
dc.identifier.issn0144-6193en_US
dc.identifier.urihttp://hdl.handle.net/10722/150406-
dc.description.abstractA good site layout is vital to ensure the safety of the working environment, and for effective and efficient operations. Moreover, it minimizes travel distance, decreases materials handling, and avoids the obstruction of materials and plant movement. Based on studies in the manufacturing industry, the cost of materials handling could be reduced by 20-60% if an appropriate facility layout is adopted. In designing a site layout, a planner will first position the key facilities that influence the method and sequence of construction, and then assign the remaining facilities in the available space that is left over. This process is similar to the positioning of facilities in the ant colony optimization (ACO) algorithm. The general principle of the ACO algorithm is to assign facilities to a location one by one, and the occupied locations are deleted from the location scope in the next assignment. In the study, ACO algorithm is employed to resolve the construction site layout planning problem in a hypothetical medium-sized construction project. By applying fuzzy reasoning and the entropy technique, the study calculates the closeness relationship between facilities, in which the optimal site layout is affected by the mutual interaction of facilities.en_US
dc.languageengen_US
dc.publisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.aspen_US
dc.relation.ispartofConstruction Management and Economicsen_US
dc.subjectAco Algorithmen_US
dc.subjectCloseness Relationshipen_US
dc.subjectHeuristicen_US
dc.subjectSite Layouten_US
dc.titleThe application of the ant colony optimization algorithm to the construction site layout planning problemen_US
dc.typeArticleen_US
dc.identifier.emailNg, T:tstng@hkucc.hku.hken_US
dc.identifier.authorityNg, T=rp00158en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/01446190600972870en_US
dc.identifier.scopuseid_2-s2.0-34248344222en_US
dc.identifier.hkuros128633-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34248344222&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume25en_US
dc.identifier.issue4en_US
dc.identifier.spage359en_US
dc.identifier.epage374en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLam, KC=7403656828en_US
dc.identifier.scopusauthoridNing, X=26640637100en_US
dc.identifier.scopusauthoridNg, T=7403358853en_US

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