Determining labor productivity diagram in high-rise building using straight-line model

• Published in: KSCE journal of civil engineering Vol. 18; no. 4; pp. 898 - 908
• Main Authors: Khanh, Ha Duy, Kim, Soo Yong
• Format: Journal Article
• Language: English
• Published: Heidelberg Korean Society of Civil Engineers 01.05.2014; Springer Nature B.V; 대한토목학회
• Subjects: Civil Engineering; Concrete; Construction; Construction Management; Engineering; Fabrication; Flooring; Formwork; Geotechnical Engineering & Applied Earth Sciences; High rise buildings; Industrial Pollution Prevention; Installation; Labor; Labor productivity; Labour; Mathematical models; Productivity; Project engineering; Project management; Rebar; Reinforcing steels; 토목공학; straight-line model; repetitive activities; Vietnam; high-rise building; labor productivity
• ISSN: 1226-7988; 1976-3808
• DOI: 10.1007/s12205-014-0521-3

Formwork setting, rebar fabrication/installation, and concrete casting are often repetitive in high-rise building projects. In the beginning, this paper has examined four design characteristics of high-rise building to find out the overall properties of surveyed population. Later, the paper has described how straight-line models are developed and applied to estimate labor productivity in floor-to-floor of high-rise building projects, and then has determined average labor productivity diagrams for three activities as mentioned above. A survey was carried out through a structured questionnaire method. The respondents are been experienced people in construction and management of high-rise projects. The results have shown that the learning rate for each straight-line model is approximately 0.9. The hypothesis about critical floor, which labor productivity of floors above this floor is probably fixed or constant, is quite adequate. The position of critical floor for formwork activity is identified to be approximately 23% of all typical floors, and approximately 23% and 19% for rebar activity and concrete activity respectively. The validity of the proposed diagrams has tested by using a realistic case study. The findings of analysis show that the Mean Absolute Percentage Error (MAPE) is approximately 5%, and R-squared is greater than 80%.