Computer Vision–Based Disruption Management for Prefabricated Building Construction Schedule

Abstract

Prefabricated building construction (PBC) projects are prone to schedule delays and budget overruns due to disruptions. Hence it is necessary to timely detect and evaluate disruptions and respond in order to put a disrupted construction project back on track. This study focused on computer vision–based (CVB) disruption management for PBC schedules. First, real-time and nonintrusive detection of four types of disruptions on PBC jobsite was achieved using CVB technology. Second, the detected disruptions of the PBC schedule were evaluated by quantifying their impacts on the project. Third, repair of the disrupted schedule was achieved based on the principle of disruption management by developing an optimization model with the objectives of minimizing the repair cost and deviation from the original schedule. The proposed disruption management system was illustrated and justified through a field application. This study is expected to provide a digital methodology to achieve digital disruption management for the PBC schedule.