Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics 


Vol. 38,  No. 4, pp. 23-31, Aug.  2023
10.14346/JKOSOS.2023.38.4.23


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  Abstract

Revising the Occupational Safety and Health Act led to enacting and revising related laws and systems, such as placing fire observers in hot workplaces. However, the operating standards in such cases are still ambiguous. Although fire accidents occur through multiple and multi-step factors, the hazards of fire accidents have been identified in this study as individual rather than interrelated factors. The aim has been to identify multiple factors of accidents, outlining fire and explosion accidents that recently occurred in the domestic manufacturing industry. First, major keywords were extracted through text mining. Then representative accident types were derived by combining the main keywords through the co-word network analysis to identify the hazards and their relationships. The representative fire accidents were identified as six types, and their major hazards were then addressed for improving safety measures using the identification of hazards in the “Risk Assessment” tool. It is found that various safety measures, such as professional fire observers’ training and clear placement standards, are needed. This study will provide useful basic data for revising practical laws and guidelines for fire accident prevention, system supplementation, safety policy establishment, and future related research.

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  Cite this article

[IEEE Style]

김경민, 서용윤, 이종빈, 장성록, "Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics," Journal of the Korean Society of Safety, vol. 38, no. 4, pp. 23-31, 2023. DOI: 10.14346/JKOSOS.2023.38.4.23.

[ACM Style]

김경민, 서용윤, 이종빈, and 장성록. 2023. Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics. Journal of the Korean Society of Safety, 38, 4, (2023), 23-31. DOI: 10.14346/JKOSOS.2023.38.4.23.

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