A review on supervised machine learning for accident risk analysis: Challenges in Malaysia

The new Fourth Industrial Revolution (IR 4.0) trend is driven by the concept of automation and artificial intelligence (AI). However, Malaysia is slightly behind Singapore in terms of adopting AI innovation among ASEAN countries. This paper aims to conduct a literature review of machine learning to...

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Published inProcess safety progress Vol. 41; no. S1; pp. S147 - S158
Main Authors Choo, Boon Chong, Abdul Razak, Musab, Dayang Radiah, Awang Biak, Mohd Tohir, Mohd Zahirasri, Syafiie, S.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.04.2022
John Wiley and Sons, Limited
Subjects
Accident analysis
Algorithms
Artificial intelligence
Automation
big data
Decision analysis
Decision making
Forensic engineering
Industrial applications
Industrial safety
IR 4.0
Learning algorithms
Literature reviews
Machine learning
Occupational safety
Risk analysis
Risk assessment
Safety
safety decision‐making
Malaysia
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Summary:The new Fourth Industrial Revolution (IR 4.0) trend is driven by the concept of automation and artificial intelligence (AI). However, Malaysia is slightly behind Singapore in terms of adopting AI innovation among ASEAN countries. This paper aims to conduct a literature review of machine learning to overcome subjectivity and bias in risk ranking decision‐making. An introduction to machine learning concerning accident risk analysis is presented, and the challenges of its application in Malaysia are discussed. Existing machine learning features were evaluated to identify the feasible application in industrial accident analysis and ensure safety decision‐making consistency. This review observed how the IR 4.0 approaches were used in the risk analysis, especially on supervised machine learning. This study also highlights the finding from the previous works on challenges in utilizing supervised machine learning, which is the need to have publicly accessible large database from industries and agencies such as the Department of Occupational Safety and Health (DOSH) Malaysia for the development of algorithms, which can potentially improve accident risk analysis and safety, especially for Malaysian industries.
ISSN:1066-8527
1547-5913
DOI:10.1002/prs.12346