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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66318
Volume:
10 |
7 |
Jul 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
FIRE TECHNOLOGY & SAFETY ENGINEERING
VIKRANT UNIVERSITY, GWALIOR
FIRE TECHNOLOGY & SAFETY ENGINEERING
VIKRANT UNIVERSITY, GWALIOR
Industrial accidents continue to pose serious challenges to occupational health and safety despite significant technological advancements and regulatory improvements. Conventional accident investigation methods often focus on immediate causes while overlooking latent organizational failures and systemic deficiencies. This study develops an integrated Root Cause Analysis (RCA) and Corrective Action Framework based on real industrial accident case studies collected from manufacturing, construction, oil & gas, chemical processing, and power generation industries. The proposed framework integrates the Swiss Cheese Model, Human Factors Analysis and Classification System (HFACS), Bow-Tie Analysis, and the Plan–Do–Check–Act (PDCA) cycle into a unified accident management methodology. Five representative industrial accidents were analyzed using Root Cause Analysis (RCA), Five Why Analysis, Fault Tree Analysis (FTA), and Bow-Tie techniques. Results indicate that over 80% of incidents involved organizational failures, inadequate supervision, poor safety culture, and ineffective risk communication rather than purely technical failures. The developed framework demonstrates significant potential for reducing accident recurrence through systematic investigation, corrective action prioritization, continuous monitoring, and organizational learning. The study contributes a practical and scalable framework suitable for implementation across high-risk industries.
KEYWORDS
An integrated incident causation and corrective action framework enables organizations to move beyond identifying immediate causes and address systemic weaknesses. By combining structured investigation techniques with continuous improvement principles, industries can reduce repeat incidents, improve safety performance, and foster a proactive safety culture. The proposed framework is adaptable across high-risk sectors and provides a practical foundation for future research, including AI-assisted incident investigation and predictive safety analytics.
1. International Labour Organization. (2024). Safety and health at the heart of the future of work. 2. International Organization for Standardization. (2018). ISO 45001: Occupational health and safety management systems—Requirements with guidance for use. 3. Occupational Safety and Health Administration. (2023). Incident Investigation Guide. 4. Reason, J. (1997). Managing the Risks of Organizational Accidents. Ashgate. 5. Hollnagel, E. (2021). Safety-I and Safety-II: The Past and Future of Safety Management. CRC Press. 6. Dekker, S. (2020). The Field Guide to Understanding Human Error (4th ed.). CRC Press. 7. Leveson, N. (2020). Engineering a Safer World. MIT Press. 8. Bird, F. E., & Germain, G. L. (2021). Practical Loss Control Leadership. Det Norske Veritas.
Publication Date
7/23/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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