Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94122
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorAnson, Men_US
dc.creatorSiu, MFFen_US
dc.date.accessioned2022-08-11T01:07:15Z-
dc.date.available2022-08-11T01:07:15Z-
dc.identifier.issn0733-9364en_US
dc.identifier.urihttp://hdl.handle.net/10397/94122-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rights© 2020 American Society of Civil Engineers.en_US
dc.rightsThis material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001796.en_US
dc.subjectBalance point theoryen_US
dc.subjectConcrete-delivery schedulingen_US
dc.subjectConcreting system behavioren_US
dc.subjectSite productivity optimizationen_US
dc.subjectSupply and demand resources coordinationen_US
dc.titleAugmented balance point diagrams for matching site and concrete-supply resourcesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume146en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0001796en_US
dcterms.abstractMatching site concrete-placing resources with the appropriate number of concrete-delivery truckmixers depends upon good site and concrete plant coordination if good concreting productivity is to be achieved. In general practice, however, the placing crew usually is idle for some of the pour time waiting for deliveries, and at other times, truckmixers are idle on site waiting to be emptied. In the case of concrete supplied by a circulating fleet of truckmixers, which is a balance point process, two new diagram models were developed relating fleet size to the parameters of placing-crew idle time, truckmixer idle time, truckmixer unloading time, round-trip time, and concrete-placing production rate. The new models augment classical balance point theory. To illustrate practical application: (1) the diagrams were developed and used to reveal system behavior insights for the case of three circulating truckmixers, and (2) the relevance of the new model to a real pour of 46 deliveries was examined in relation to the balancing of site and plant resources for better coordination and system productivity.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of construction engineering and management, Apr. 2020, v. 146, no. 4, 04020021en_US
dcterms.isPartOfJournal of construction engineering and managementen_US
dcterms.issued2020-04-
dc.identifier.scopus2-s2.0-85079348112-
dc.identifier.eissn1943-7862en_US
dc.identifier.artn04020021en_US
dc.description.validate202208 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1602, BRE-0337-
dc.identifier.SubFormID45579-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS25284950-
dc.description.oaCategoryGreen (AAM)en_US
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