dc.description.abstract | Manufacturing precast components in the Taiwan construction industry is a highly labor-intensive and experience-oriented process. The research objective is to explore the association rules among all precast activities in order that work scheduling and cost can be optimal. Gathering information from a comprehensive literature review, we aim at the entire precast production data for the data collection in Taiwan in the recent decade and it takes months to establish the database including three major components of pillar, large beam, and small beam. Each component contains 14 work activities and there are 18,854, 19,558, and 16,731 components for pillar, large beam, and small beam, respectively. We carry out the Pearson correlation analysis to determine the relationship among the activities, and adopt the Apriori algorithm with the parameter settings of confidence level at 90% and support value at 15%. The first finding indicates that 4 activities do not need to require high-skilled workers including pouring concrete, maintaining concrete, stripping module, and sending to inventory. The other finding points out that the layout activity significantly influences other activities for large beams; item pre-installation significantly influences other activities for both small beams and pillars. The findings provide a clear way for optimizing work shifts and labor costs. | en_US |