Evaluating the impact of meteorological factors on worker performance in prefabricated building construction: a discrete event simulation case

Purpose The outdoor construction performance is significantly influenced by meteorological factors. In prefabricated building projects, onsite assembly tasks, such as alignment, installation and grouting, still require substantial manual involvement, making them sensitive to adverse weather conditions. This study was aimed at examining the effect of key meteorological factors (temperature, wind, and rainfall) on the construction duration, cost and carbon emissions of prefabricated buildings. Design/methodology/approach A logical model of the standard floor construction process for prefabricated buildings was developed using Arena software. By quantifying the changes in construction duration, cost and carbon emissions under different weather conditions, the effect of the adverse meteorological factors on worker performance during the prefabricated building construction process was analysed. Findings (1) In the simulated case, the wind impact was the highest on construction performance, increasing time by 24.2%, costs by 28.6%, and carbon emissions by 29.7%, followed by high temperatures (18.0%, 21.2% and 22.2%) and rainfall (16.5%, 7.4%, 8.4%), (2) windy weather poses most pronounced risks among the three meteorological conditions, suggesting it may warrant particular attention from managers and (3) performance indicators are significantly positively correlated under different meteorological factors, which allows for the estimation of unknown indicators through established linear relationships. Originality/value These findings provide insights that may help construction companies reduce the adverse effects of meteorological factors on worker productivity. They also enable the prediction of unknown performance indicators by unlocking the linear relationship between time, cost and carbon emissions, thereby enhancing proactive decision making.

Authors

Institutions

Publication Details

Journal
Engineering Construction & Architectural Management
Published
2026-02-21
DOI
https://doi.org/10.1108/ecam-04-2025-0583
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the impact of meteorological factors on worker performance in prefabricated building construction: a discrete event simulation case

Yuan Chang, Zhenmin Yuan, Yifan Dong, Kailun Feng et al.
Engineering Construction & Architectural Management
BIM and Construction Integration
article

Evaluating the impact of meteorological factors on worker performance in prefabricated building construction: a discrete event simulation case

Yuan Chang, Zhenmin Yuan, Yifan Dong, Kailun Feng, Tongbin Zhang
article en

Abstract

Purpose The outdoor construction performance is significantly influenced by meteorological factors. In prefabricated building projects, onsite assembly tasks, such as alignment, installation and grouting, still require substantial manual involvement, making them sensitive to adverse weather conditions. This study was aimed at examining the effect of key meteorological factors (temperature, wind, and rainfall) on the construction duration, cost and carbon emissions of prefabricated buildings. Design/methodology/approach A logical model of the standard floor construction process for prefabricated buildings was developed using Arena software. By quantifying the changes in construction duration, cost and carbon emissions under different weather conditions, the effect of the adverse meteorological factors on worker performance during the prefabricated building construction process was analysed. Findings (1) In the simulated case, the wind impact was the highest on construction performance, increasing time by 24.2%, costs by 28.6%, and carbon emissions by 29.7%, followed by high temperatures (18.0%, 21.2% and 22.2%) and rainfall (16.5%, 7.4%, 8.4%), (2) windy weather poses most pronounced risks among the three meteorological conditions, suggesting it may warrant particular attention from managers and (3) performance indicators are significantly positively correlated under different meteorological factors, which allows for the estimation of unknown indicators through established linear relationships. Originality/value These findings provide insights that may help construction companies reduce the adverse effects of meteorological factors on worker productivity. They also enable the prediction of unknown performance indicators by unlocking the linear relationship between time, cost and carbon emissions, thereby enhancing proactive decision making.

Engineering Construction & Architectural Management
Central University of Finance and Economics (CN), Harbin Institute of Technology (CN), Human Computer Interaction (Switzerland) (CH), Shandong Jianzhu University (CN), Ministry of Industry and Information Technology (CN)
Openalex Percentile: Top 48%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.