A Data-Driven Framework for Automated Generation of PC Component Trailer Arrival Times: Integrating Work Interruptions Simulation and Duration Prediction

Abstract

Currently, site managers at Precast concrete (PC) construction sites are determining arrival times using simplified methods without considering duration variability and work interruptions, resulting in frequent site congestion and work delays. To address these issues, this research proposes a framework for a data-driven for automated generation of PC component trailer arrival times. By presenting multiple arrival time options according to various confidence intervals, the framework provides site managers with a flexible decision support tool that can be tailored to specific project needs. This framework will contribute to the improvement of efficiency and economic feasibility of PC construction by systematically managing the uncertainties of on-site operations. Through this framework, the limitations of existing methods that rely on experience and intuition can be overcome, and construction companies are expected to implement decision support tools optimized for their specific site characteristics using independently collected data.