Relationship between labour productivity and design characteristics in high-rise buildings / Ha Duy Khanh, Young Dai Lee and Soo Yong Kim

Ha, Duy Khanh and Lee, Young Dai and Kim, Soo Yong (2014) Relationship between labour productivity and design characteristics in high-rise buildings / Ha Duy Khanh, Young Dai Lee and Soo Yong Kim. Built Environment Journal (BEJ), 11 (1). pp. 15-28. ISSN 1675-5022

Official URL: https://bej.uitm.edu.my/

Abstract

Formwork installation, rebar fabrication/installation, and concrete casting are often repetitive in high-rise building projects. Previous studies have shown that labor productivity is significantly affected by many reasons. This study aims to consider the relationship between average labor productivity and design characteristics in typical floors of high-rise building projects. Data were collected through questionnaire which was distributed to experts and experienced people in construction projects. A neural network model was developed to estimate labor productivity. The main result is the comparison between predicted and actual labor productivity for typical floors. The Mean Absolute Percentage Errors (MAPE) are less than 3.5%, and R-squared indices are greater than 85% for all three activities mentioned above. These results showed that the model developed in this study is very appropriate when predicting labor productivity in high-rise building projects.

Metadata

Item Type: Article
Creators:
CreatorsID Num. / Email
Ha, Duy Khanhhd.khanh@hotmail.com
Lee, Young DaiUNSPECIFIED
Kim, Soo YongUNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management > Industrial productivity > Labor productivity
N Fine Arts > NA Architecture > Public buildings > Commercial buildings > Office buildings. Skyscrapers
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Neural networks (Computer science)
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science > Neural networks (Computer science)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: Built Environment Journal (BEJ)
Journal: UiTM Journal > Built Environment Journal (BEJ)
ISSN: 1675-5022
Volume: 11
Number: 1
Page Range: pp. 15-28
Official URL: https://bej.uitm.edu.my/
Item ID: 13619
Uncontrolled Keywords: Labor productivity, High-rise building, Design characteristics, Artificial neural network, Vietnam
URI: http://ir.uitm.edu.my/id/eprint/13619

Download

[img] Text
AJ_HA DUY KHANH BEJ 14 1.pdf

Download (27MB)

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year