This research aims to develop a comprehensive decision-making framework to enhance industrial steam boiler safety by shifting from reactive to predictive risk management.
Applied a five-stage algorithm including HAZOP, FMEA, LOPA, and AHP-TOPSIS methodologies.
Analyzed 245 failure modes across 12 livestock feed factories in Isfahan province.
Prioritized corrective actions based on risk assessments and safety gaps.
48.2% of scenarios were identified as falling within the unacceptable risk range.
Only 22.9% of Independent Protection Layers met ASME and NFPA compliance.
Implementing recommended strategies could reduce operational risk index by 55.3%.