Assessing construction labours’ safety level: a fuzzy MCDM approach

Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering t...

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Main Authors: Mohandes, Saeed Reza, Sadeghi, Haleh, Mahdiyar, Amir, Durdyev, Serdar, Banaitis, Audrius, Yahya, Khairulzan, Ismail, Syuhaida
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020
Subjects:
Online Access:http://eprints.utm.my/90033/1/KhairulzanYahya2020_AssessingConstructionLabours%E2%80%99SafetyLevel.pdf
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author Mohandes, Saeed Reza
Sadeghi, Haleh
Mahdiyar, Amir
Durdyev, Serdar
Banaitis, Audrius
Yahya, Khairulzan
Ismail, Syuhaida
author_facet Mohandes, Saeed Reza
Sadeghi, Haleh
Mahdiyar, Amir
Durdyev, Serdar
Banaitis, Audrius
Yahya, Khairulzan
Ismail, Syuhaida
author_sort Mohandes, Saeed Reza
collection ePrints
description Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.
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spelling utm.eprints-900332021-03-31T05:04:06Z http://eprints.utm.my/90033/ Assessing construction labours’ safety level: a fuzzy MCDM approach Mohandes, Saeed Reza Sadeghi, Haleh Mahdiyar, Amir Durdyev, Serdar Banaitis, Audrius Yahya, Khairulzan Ismail, Syuhaida TA Engineering (General). Civil engineering (General) Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements. Vilnius Gediminas Technical University 2020-02 Article PeerReviewed application/pdf en http://eprints.utm.my/90033/1/KhairulzanYahya2020_AssessingConstructionLabours%E2%80%99SafetyLevel.pdf Mohandes, Saeed Reza and Sadeghi, Haleh and Mahdiyar, Amir and Durdyev, Serdar and Banaitis, Audrius and Yahya, Khairulzan and Ismail, Syuhaida (2020) Assessing construction labours’ safety level: a fuzzy MCDM approach. Journal of Civil Engineering and Management, 26 (2). pp. 175-188. ISSN 1392-3730 http://dx.doi.org/10.3846/jcem.2020.11926
spellingShingle TA Engineering (General). Civil engineering (General)
Mohandes, Saeed Reza
Sadeghi, Haleh
Mahdiyar, Amir
Durdyev, Serdar
Banaitis, Audrius
Yahya, Khairulzan
Ismail, Syuhaida
Assessing construction labours’ safety level: a fuzzy MCDM approach
title Assessing construction labours’ safety level: a fuzzy MCDM approach
title_full Assessing construction labours’ safety level: a fuzzy MCDM approach
title_fullStr Assessing construction labours’ safety level: a fuzzy MCDM approach
title_full_unstemmed Assessing construction labours’ safety level: a fuzzy MCDM approach
title_short Assessing construction labours’ safety level: a fuzzy MCDM approach
title_sort assessing construction labours safety level a fuzzy mcdm approach
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/90033/1/KhairulzanYahya2020_AssessingConstructionLabours%E2%80%99SafetyLevel.pdf
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