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Evaluation of critical risk factors in the implementation of modular construction

Modular construction is considered as a preferred construction method over conventional construction due to a number of benefits including reduction in project completion time, improved environmental performance, better quality, enhanced workers’ safety and flexibility. However, successful implement...

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Detalles Bibliográficos
Autores principales: Pervez, Hamza, Ali, Yousaf, Pamucar, Dragan, Garai-Fodor, Mónika, Csiszárik-Kocsir, Ágnes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359564/
https://www.ncbi.nlm.nih.gov/pubmed/35939491
http://dx.doi.org/10.1371/journal.pone.0272448
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author Pervez, Hamza
Ali, Yousaf
Pamucar, Dragan
Garai-Fodor, Mónika
Csiszárik-Kocsir, Ágnes
author_facet Pervez, Hamza
Ali, Yousaf
Pamucar, Dragan
Garai-Fodor, Mónika
Csiszárik-Kocsir, Ágnes
author_sort Pervez, Hamza
collection PubMed
description Modular construction is considered as a preferred construction method over conventional construction due to a number of benefits including reduction in project completion time, improved environmental performance, better quality, enhanced workers’ safety and flexibility. However, successful implementation of modular construction is hindered by various risk factors and uncertainties. Therefore, it is imperative to perform a comprehensive risk assessment of critical risk factors that pose a negative impact on the implementation of modular construction. Moreover, there is also a relatively less rate of modular construction adoption in developing countries, highlighting the need to focus more on underdeveloped regions. This study aims to propose a risk assessment framework for identification, evaluation and prioritization of critical risk factors affecting the implementation of modular construction in Pakistan. 20 risk factors were identified from previous literature which were then evaluated to shortlist the most significant risks using Fuzzy Delphi. The most significant risk factors were then prioritized using a novel Full-Consistency Method (FUCOM). The results specified ‘Inadequate skills and experience in modular construction’, ‘Inadequate capacity of modular manufacturers’ and ‘Inability to make changes in design during the construction stage’ as top three critical risks in the implementation of modular construction. This is the first study to propose a risk assessment framework for modular construction in Pakistan. The results of the study are useful to provide insights to construction industry practitioners in highlighting and eliminating risks involved in modular construction planning and execution.
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spelling pubmed-93595642022-08-10 Evaluation of critical risk factors in the implementation of modular construction Pervez, Hamza Ali, Yousaf Pamucar, Dragan Garai-Fodor, Mónika Csiszárik-Kocsir, Ágnes PLoS One Research Article Modular construction is considered as a preferred construction method over conventional construction due to a number of benefits including reduction in project completion time, improved environmental performance, better quality, enhanced workers’ safety and flexibility. However, successful implementation of modular construction is hindered by various risk factors and uncertainties. Therefore, it is imperative to perform a comprehensive risk assessment of critical risk factors that pose a negative impact on the implementation of modular construction. Moreover, there is also a relatively less rate of modular construction adoption in developing countries, highlighting the need to focus more on underdeveloped regions. This study aims to propose a risk assessment framework for identification, evaluation and prioritization of critical risk factors affecting the implementation of modular construction in Pakistan. 20 risk factors were identified from previous literature which were then evaluated to shortlist the most significant risks using Fuzzy Delphi. The most significant risk factors were then prioritized using a novel Full-Consistency Method (FUCOM). The results specified ‘Inadequate skills and experience in modular construction’, ‘Inadequate capacity of modular manufacturers’ and ‘Inability to make changes in design during the construction stage’ as top three critical risks in the implementation of modular construction. This is the first study to propose a risk assessment framework for modular construction in Pakistan. The results of the study are useful to provide insights to construction industry practitioners in highlighting and eliminating risks involved in modular construction planning and execution. Public Library of Science 2022-08-08 /pmc/articles/PMC9359564/ /pubmed/35939491 http://dx.doi.org/10.1371/journal.pone.0272448 Text en © 2022 Pervez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pervez, Hamza
Ali, Yousaf
Pamucar, Dragan
Garai-Fodor, Mónika
Csiszárik-Kocsir, Ágnes
Evaluation of critical risk factors in the implementation of modular construction
title Evaluation of critical risk factors in the implementation of modular construction
title_full Evaluation of critical risk factors in the implementation of modular construction
title_fullStr Evaluation of critical risk factors in the implementation of modular construction
title_full_unstemmed Evaluation of critical risk factors in the implementation of modular construction
title_short Evaluation of critical risk factors in the implementation of modular construction
title_sort evaluation of critical risk factors in the implementation of modular construction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359564/
https://www.ncbi.nlm.nih.gov/pubmed/35939491
http://dx.doi.org/10.1371/journal.pone.0272448
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