Abstract
The construction industry has been severely affected by COVID-19 restrictions
resulting in several challenges in form of supply chain disruptions, performance loss, and limited workforce interactions. The construction industry initially needs to understand and quantify the impacts of COVID-19 on each aspect of the industry. Simulation techniques are powerful tools for this purpose, which enable modellers to run construction projects virtually and assess their performance under different circumstances, scenarios or settings. In this paper, a hybrid simulation framework is developed using agent-based modelling (ABM) and Monte Carlo simulation techniques (MCS) to evaluate the impact of the spread of COVID-19 on the performance of construction projects. The proposed simulation framework enables the construction modellers to capture the interactions between construction workers effectively and to determine the impact of restrictions on the overall project performance. It also helps practitioners in the post-COVID-19 era by testing multiple virus spread scenarios on construction sites and minimize the adverse impacts of restrictions on the project performance.
resulting in several challenges in form of supply chain disruptions, performance loss, and limited workforce interactions. The construction industry initially needs to understand and quantify the impacts of COVID-19 on each aspect of the industry. Simulation techniques are powerful tools for this purpose, which enable modellers to run construction projects virtually and assess their performance under different circumstances, scenarios or settings. In this paper, a hybrid simulation framework is developed using agent-based modelling (ABM) and Monte Carlo simulation techniques (MCS) to evaluate the impact of the spread of COVID-19 on the performance of construction projects. The proposed simulation framework enables the construction modellers to capture the interactions between construction workers effectively and to determine the impact of restrictions on the overall project performance. It also helps practitioners in the post-COVID-19 era by testing multiple virus spread scenarios on construction sites and minimize the adverse impacts of restrictions on the project performance.
Original language | English |
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Title of host publication | Association of Researchers in Construction Management (ARCOM) |
Subtitle of host publication | Proceedings of the 37th annual conference |
Editors | Lloyd Scott, Christopher J. Neilson |
Place of Publication | Leeds |
Publisher | Association of Researchers in Construction Management (ARCOM) |
Pages | 106-115 |
Number of pages | 10 |
ISBN (Print) | 9780995546356 |
Publication status | Published - 6 Sept 2021 |
Event | ARCOM Conference 2021: Recover, Rebuild and Renew - Virtual, Dublin, Ireland Duration: 6 Sept 2021 → 7 Sept 2021 https://www.arcom.ac.uk/conf-2021.php |
Conference
Conference | ARCOM Conference 2021 |
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Country/Territory | Ireland |
City | Dublin |
Period | 6/09/21 → 7/09/21 |
Internet address |
Keywords
- agent-based modelling
- risk
- simulation
- productivity
- automation