Learn Curve for Precast Component Productivity in Construction

Hsing Wei Tai, Jieh Haur Chen, Jiun Yao Cheng, Shu Chien Hsu, Hsi Hsien Wei

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)


The study objective is to establish the learning curve model for precast component productivity in construction, verified using cross-validation empirical data for over 90% of these facilities’ precast component production activities over the past 5 years, with a total of 373,077 datasets across 14 production activities, sorted among a total of 4352 workers. By applying the learning curve theory to the analysis, the results show that relative to the straight-line model, the learning curve was established using exponential models. The exponential model can effectively mitigate the unreasonable fluctuations present in the cubic model’s representations of learning curves during initial training periods. This study therefore suggests the adoption of the Exponential model to model the learning curves for production workers learning to make precast components. The model has a satisfactory degree of fit (R2 > 0.88), and the post-cross-validation results also show that the model has a highly accurate prediction capability (MAPE value < 10%). The finding can serve as an important reference for the creation of production personnel allocation plans, personnel reserve plans, and training plans at precast factories in the construction industry.

頁(從 - 到)1179-1194
期刊International Journal of Civil Engineering
出版狀態已出版 - 10月 2021


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