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A construction project scheduling methodology considering COVID-19 pandemic measures

Introduction: At the beginning of the COVID-19 pandemic, various social measures were taken and various sectors were affected with strict precautions and safety measurements. The construction industry, where numerous employees work together, was affected by these COVID restrictions. The pandemic per...

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Autores principales: Aslan, Selman, Türkakın, Osman Hürol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Safety Council and Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648395/
https://www.ncbi.nlm.nih.gov/pubmed/35249628
http://dx.doi.org/10.1016/j.jsr.2021.11.007
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author Aslan, Selman
Türkakın, Osman Hürol
author_facet Aslan, Selman
Türkakın, Osman Hürol
author_sort Aslan, Selman
collection PubMed
description Introduction: At the beginning of the COVID-19 pandemic, various social measures were taken and various sectors were affected with strict precautions and safety measurements. The construction industry, where numerous employees work together, was affected by these COVID restrictions. The pandemic period typically further delayed the construction contracts. Methods: This study addresses the project duration, pandemic risk, and project cost of a construction project case by using both multi-objective genetic algorithm and resource constrained project scheduling techniques, using modeling of COVID-19 infection rate. Finally, the analytic hierarchy process (AHP), a multi-objective technique, is used to obtain an optimal solution using three criteria: project duration, total cost, and pandemic risk value. Results: A case study is used for analyzing the outcomes of the pandemic-based modeling, the original schedule of the case study ends in 46 days. Feasible schedules are obtained with durations occurring between 61 to 199 days, the pandemic risks range from 46% to 89%, and the total cost varies from 174,669.8 Turkish Lira (TL) to 186,126.7 TL. Consequently, the most optimal-final solution is obtained Alternative 5 (0.46% pandemic risk, 199 Day (10 workers) with 185,722 TL). Conclusion: We conclude that the possible rate of pandemic-related delays can be obtained by using both these techniques and the infection modeling method. Using the COVID-19 infection rate modeling, duration and cost changes are calculated by considering infection risk in construction workers. Practical Applications: Using the COVID-19 infection rate modeling, project delays and cost overruns are determined by considering infection risk in construction workers. Optimum worker sizes and delayed construction activities are determined according to the selected solution by using the AHP technique. Expectedly, this study may help determine the construction process while preserving social distances between construction workers during pandemic situations like COVID-19.
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spelling pubmed-86483952021-12-07 A construction project scheduling methodology considering COVID-19 pandemic measures Aslan, Selman Türkakın, Osman Hürol J Safety Res Article Introduction: At the beginning of the COVID-19 pandemic, various social measures were taken and various sectors were affected with strict precautions and safety measurements. The construction industry, where numerous employees work together, was affected by these COVID restrictions. The pandemic period typically further delayed the construction contracts. Methods: This study addresses the project duration, pandemic risk, and project cost of a construction project case by using both multi-objective genetic algorithm and resource constrained project scheduling techniques, using modeling of COVID-19 infection rate. Finally, the analytic hierarchy process (AHP), a multi-objective technique, is used to obtain an optimal solution using three criteria: project duration, total cost, and pandemic risk value. Results: A case study is used for analyzing the outcomes of the pandemic-based modeling, the original schedule of the case study ends in 46 days. Feasible schedules are obtained with durations occurring between 61 to 199 days, the pandemic risks range from 46% to 89%, and the total cost varies from 174,669.8 Turkish Lira (TL) to 186,126.7 TL. Consequently, the most optimal-final solution is obtained Alternative 5 (0.46% pandemic risk, 199 Day (10 workers) with 185,722 TL). Conclusion: We conclude that the possible rate of pandemic-related delays can be obtained by using both these techniques and the infection modeling method. Using the COVID-19 infection rate modeling, duration and cost changes are calculated by considering infection risk in construction workers. Practical Applications: Using the COVID-19 infection rate modeling, project delays and cost overruns are determined by considering infection risk in construction workers. Optimum worker sizes and delayed construction activities are determined according to the selected solution by using the AHP technique. Expectedly, this study may help determine the construction process while preserving social distances between construction workers during pandemic situations like COVID-19. National Safety Council and Elsevier Ltd. 2022-02 2021-12-01 /pmc/articles/PMC8648395/ /pubmed/35249628 http://dx.doi.org/10.1016/j.jsr.2021.11.007 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Aslan, Selman
Türkakın, Osman Hürol
A construction project scheduling methodology considering COVID-19 pandemic measures
title A construction project scheduling methodology considering COVID-19 pandemic measures
title_full A construction project scheduling methodology considering COVID-19 pandemic measures
title_fullStr A construction project scheduling methodology considering COVID-19 pandemic measures
title_full_unstemmed A construction project scheduling methodology considering COVID-19 pandemic measures
title_short A construction project scheduling methodology considering COVID-19 pandemic measures
title_sort construction project scheduling methodology considering covid-19 pandemic measures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648395/
https://www.ncbi.nlm.nih.gov/pubmed/35249628
http://dx.doi.org/10.1016/j.jsr.2021.11.007
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