Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103420
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dc.contributorDepartment of Building and Real Estate-
dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorYi, Wen_US
dc.creatorChi, HLen_US
dc.creatorWang, Sen_US
dc.date.accessioned2023-12-11T00:33:48Z-
dc.date.available2023-12-11T00:33:48Z-
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/10397/103420-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2017 Elsevier B.V. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Yi, W., Chi, H. L., & Wang, S. (2018). Mathematical programming models for construction site layout problems. Automation in construction, 85, 241-248 is available at https://doi.org/10.1016/j.autcon.2017.10.031.en_US
dc.subjectBi-objective optimizationen_US
dc.subjectConstruction managementen_US
dc.subjectConstruction site layouten_US
dc.subjectMathematical programmingen_US
dc.titleMathematical programming models for construction site layout problemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage241en_US
dc.identifier.epage248en_US
dc.identifier.volume85en_US
dc.identifier.doi10.1016/j.autcon.2017.10.031en_US
dcterms.abstractWe address the construction site layout problem that determines the locations of temporary facilities. Mathematical programming models for the site layout problem are proposed, which can be solved by state-of-the-art solvers to optimality. A number of safety, health and environmental concerns, such as falling objects, dusts, and noise, are incorporated in the extensions of the mathematical models. We demonstrate, using numerical experiments, the superiority of our proposed mathematical programming model over existing heuristics in terms of solution optimality and the wide applicability in terms of handling practical considerations. Based on the results of conducted experiments, the proposed method achieved a 3–19% improvement on optimality over those of the existing heuristics methods. The contribution of this research work includes the advanced development of a mathematical programming model incorporating extended concerns and solving site layout problems within reasonable time.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAutomation in construction, Jan. 2018, v. 85, p. 241-248en_US
dcterms.isPartOfAutomation in constructionen_US
dcterms.issued2018-01-
dc.identifier.scopus2-s2.0-85032482432-
dc.identifier.eissn1872-7891en_US
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0831-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6793018-
dc.description.oaCategoryGreen (AAM)en_US
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