Forecasting labor productivity changes in construction using the PMV index
Article
Mohamed, S and Srinavin, Korb. 2005. "Forecasting labor productivity changes in construction using the PMV index
." International Journal of Industrial Ergonomics. 35 (4), pp. 345-351. https://doi.org/10.1016/j.ergon.2004.09.008
| Article Title | Forecasting labor productivity changes in construction using the PMV index |
|---|---|
| ERA Journal ID | 3679 |
| Article Category | Article |
| Authors | Mohamed, S and Srinavin, Korb |
| Journal Title | International Journal of Industrial Ergonomics |
| Journal Citation | 35 (4), pp. 345-351 |
| Number of Pages | 7 |
| Year | Apr 2005 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0169-8141 |
| 1872-8219 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ergon.2004.09.008 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S016981410400191X |
| Abstract | Over the years, many attempts have been made to establish mathematical models reflecting the relationship between the thermal environment and construction labor productivity. Once established, the models were used to forecast the change in productivity due to thermal environment variations. The models, however, failed to accurately capture the complex nature of such a relationship for a number of reasons, including a consideration of the nature of the task being performed and the effect of all known variables of the thermal environment. This paper briefly describes and highlights the main shortcomings of three established thermal environment/productivity forecasting models. It introduces a fourth model, developed by the authors, where productivity can be predicted as a function of the PMV index. The paper then presents a comparative analysis between all four models with emphasis on their sensitivity to air temperature. Field data collected from different construction sites demonstrate that observed productivity data agree well with those predicted by the PMV-based model. |
| Keywords | construction; thermal environment; thermal comfort; productivity; mathematical models |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400508. Infrastructure engineering and asset management |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Griffith University |
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