Automated Components-Vehicle Allocation Planning for Precast Concrete Projects

To 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.

Automated summary

This study develops an automated method for establishing a PC components-vehicle allocation (CVA) plan in precast concrete (PC) projects. The method incorporates considerations derived from interviews and literature review, and formalizes a CVA process that satisfies these considerations. The results show that the automated method can generate CVA plans faster and reduce the number of vehicles, contributing to the off-site construction management theory and helping to alleviate social and environmental problems.