Analysis of Labor Productivity in Floor Tiling

Authors

  • Pisit Montri Master’s Degree Student, Faculty of Engineering and Technology, Mahanakorn University of Technology, Bangkok, Thailand
  • Natee Suriyanon Lecturer, Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

Keywords:

Labor productivity, Multiple linear regression, Floor tiling

Abstract

This research aims to: 1) survey labor productivity in floor tiling during normal working hours (8 hours) based on data from 219 samples across 17 residential building construction projects in Bangkok and its vicinity between June and December 2024. The findings indicate that the average labor productivity for floor tiling was 1.815 sq.m./hr., with a minimum and maximum of 1.143 sq.m./hr. and 2.483 sq.m./hr., respectively. 2) Analyze the relationship between personal factors and labor productivity in floor tiling. The results reveal that employment type, number of support workers, age, and experience were significantly correlated with labor productivity at the 0.05 significance level. and 3) Develop a multiple linear regression model to predict floor tiling labor productivity. The model indicates that the most influential factors affecting labor productivity are the number of support workers, experience, employment characteristics, and nationality (ranked from most to least influential). The model demonstrates a 67.3 predictive accuracy.

Published

2025-06-25

How to Cite

[1]
P. Montri and N. Suriyanon, “Analysis of Labor Productivity in Floor Tiling”, Thai NCCE Conf 30, vol. 30, p. CEM-40, Jun. 2025.

Issue

Section

Construction Engineering and Management

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.