Determining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 1
Abstract
This study is aimed at determining the worker training time and proficiency threshold for each activity in precast component production based on the learning curve theory. Training data for precast component production for the past were collected in Taiwan, including 317,832 datasets for 14 production activities involving a total of 4,352 worker participations and 492 completion times. A learning curve model for workers to master the manufacture of precast component was developed, yielding the major finding that training time for workers to learn precast component production has a learning curve . The training time required to reach proficiency varies from 3.87 to 26.15 days for noncomplex activities. The findings also show that four out of 14 activities can be identified as complex with a learning curve slope of . Practitioners should mainly focus on worker training for those complex activities as the critical path to improving precast component productivity. The findings also provide thresholds (in days) for all activities, which helps to quantify how much time is needed to efficiently train workers for precast component production.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The authors acknowledge the support for this research by the Taiwan Ministry of Science and Technology under Grant Nos. MOST-108-2221-E-008-002-MY3, MOST-106-2221-E-008-020-MY2, and MOST-105-2221-E-008-113. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of MOST.
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Journal of Construction Engineering and Management
Volume 147 • Issue 1 • January 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Dec 26, 2019
Accepted: Aug 12, 2020
Published online: Nov 3, 2020
Published in print: Jan 1, 2021
Discussion open until: Apr 3, 2021
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