Determining worker training time for precast component production in construction: Empirical study in Taiwan

Tai, H W; Chen, J H; Cheng, J Y; Wei, H H; Hsu, S C and Liu, H C (2021) Determining worker training time for precast component production in construction: Empirical study in Taiwan. Journal of Construction Engineering and Management, 147(1): 0001964, ISSN 0733-9364

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 5 years 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 slope=-0.75. 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-0.75. 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.

Item Type: Article
Uncontrolled Keywords: construction management; learning curve; precast component; productivity; training time
Index terms: completion time, practitioner, dataset, Taiwan, slope, critical path, empirical study, productivity
Subjects: operations research, practitioner, data management, project controls, geotechnical engineering, management, research methods, Geography
Topics: Geographical Context, Research Practice, Engineering Principles, Business Strategy, Roles and Professions, Digital Applications, Time Control
Descriptive scope: 3 PCA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here