Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89900
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorYi, W-
dc.creatorWang, S-
dc.creatorZhang, A-
dc.date.accessioned2021-05-13T08:32:31Z-
dc.date.available2021-05-13T08:32:31Z-
dc.identifier.issn1093-9687-
dc.identifier.urihttp://hdl.handle.net/10397/89900-
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.rights© 2019 Computer-Aided Civil and Infrastructure Engineeringen_US
dc.rightsThis is the peer reviewed version of the following article: Yi, W, Wang, S, Zhang, A. Optimal transportation planning for prefabricated products in construction. Comput Aided Civ Inf. 2020; 35: 342– 353, which has been published in final form at https://doi.org/10.1111/mice.12504. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en_US
dc.titleOptimal transportation planning for prefabricated products in constructionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage342-
dc.identifier.epage353-
dc.identifier.volume35-
dc.identifier.issue4-
dc.identifier.doi10.1111/mice.12504-
dcterms.abstractPrefabrication-based construction has several advantages, such as short building time and superior quality. The transportation of prefabricated products from factories to construction sites has two key issues to consider. One is how to efficiently utilize the capacity of trucks in order to use as few trucks as possible, and the other is how to postpone the transportation of prefabricated products so as to pay for them as late as possible. This study proposes a mathematical programming model to optimize the transportation planning of prefabricated products to minimize the sum of trucking transportation costs and inventory holding costs. Extensive numerical experiments show that the optimal transport plan generated by the model outperforms the plan obtained by a greedy approach by 10% of cost savings, implying the effectiveness of the model for the construction industry.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationComputer-aided civil and infrastructure engineering, Apr. 2020, v. 35, no. 4, p. 342-353-
dcterms.isPartOfComputer-aided civil and infrastructure engineering-
dcterms.issued2020-04-
dc.identifier.scopus2-s2.0-85073992275-
dc.identifier.eissn1467-8667-
dc.description.validate202105 bcvc-
dc.description.oaAccepted Manuscript-
dc.identifier.FolderNumbera0794-n09-
dc.identifier.SubFormID1661-
dc.description.fundingSourceOthers-
dc.description.fundingTextNSFC projects-
dc.description.pubStatusPublished-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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