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dc.contributor.authorHsing-Wei Tai
dc.contributor.authorJieh-Haur Chen
dc.contributor.authorJiun-Yao Cheng
dc.contributor.authorHsi-Hsien Wei
dc.contributor.authorShu-Chien Hsu
dc.contributor.authorHao-Cheng Liu
dc.date.accessioned2022-02-01T00:07:35Z
dc.date.available2022-02-01T00:07:35Z
dc.date.issued1/1/2021
dc.identifier.other%28ASCE%29CO.1943-7862.0001964.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270956
dc.description.abstractThis 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.
dc.publisherASCE
dc.titleDetermining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan
dc.typeJournal Paper
dc.journal.volume147
dc.journal.issue1
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0001964
dc.journal.fristpage05020023-1
dc.journal.lastpage05020023-8
dc.page8
dc.treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 001
dc.contenttypeFulltext


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