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dc.contributor.authorJun Young Jang
dc.contributor.authorJung In Kim
dc.contributor.authorChoongwan Koo
dc.contributor.authorTae Wan Kim
dc.date.accessioned2022-12-27T20:39:53Z
dc.date.available2022-12-27T20:39:53Z
dc.date.issued2022/11/01
dc.identifier.other(ASCE)ME.1943-5479.0001086.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287754
dc.description.abstractTo move precast concrete (PC) components to the site through vehicles in a PC project, a construction manager must establish a PC components–vehicle allocation (CVA) plan everyday by integrating factory, transport, and site information and by reflecting various considerations for CVA. However, in practice, the manager establishes the plan manually, which often leads to an increase in transportation costs due to inefficient use of vehicles and plan errors. Thus, this study develops an automated method for CVA by deriving considerations for CVA via interviews and literature review and by formalizing a CVA process that satisfies the considerations. The process has the following five steps: determining component loading type, developing preliminary CVA, determining vehicle loading type, crashing CVA for reducing the number of vehicles, and setting site arrival time and type of vehicles. Charrette test results indicate that the automated method can generate CVA plans faster than practitioners and reduce the number of vehicles by taking the derived considerations into account comprehensively. This study contributes to the off-site construction management theory by formalizing the process knowledge about how to deal with different considerations in CVA. This can help alleviate social and environmental problems, such as increased transportation cost and carbon dioxides emission by supporting decision-making of construction managers in planning installation of PC components and allocating them to vehicles.
dc.publisherASCE
dc.titleAutomated Components–Vehicle Allocation Planning for Precast Concrete Projects
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue6
dc.journal.titleJournal of Management in Engineering
dc.identifier.doi10.1061/(ASCE)ME.1943-5479.0001086
dc.journal.fristpage04022059
dc.journal.lastpage04022059_11
dc.page11
dc.treeJournal of Management in Engineering:;2022:;Volume ( 038 ):;issue: 006
dc.contenttypeFulltext


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