An Integrated Framework for Process Safety Management in Chemical Industries

Abstract

Chemical process industries operate under high-risk conditions that demand rigorous and integrated safety management approaches. This study introduces a five-layer integrated framework designed to enhance hazard identification and safety control by aligning international standards, regulatory requirements, and empirical safety practices. The framework synthesizes ISO 31000 and ISO 45001 with regulatory systems like OSHA PSM, EPA RMP, and Seveso III, and integrates hazard identification techniques (HAZID, HAZOP, Bowtie), risk control tools (ALARP, risk matrix, hierarchy of controls), engineering assurance measures (IEC 61511-based SIS, mechanical integrity), and performance monitoring (API RP 754, digital dashboards). Methodologically, the framework is constructed through a multi-source synthesis approach combining literature, regulatory analysis, and operational safety taxonomies. It is operationalized through example datasets including a risk register, control taxonomies, and regulatory alignment matrices, demonstrating its practical relevance. Key findings indicate that this integrated model improves traceability between risk sources and control measures, enhances communication across safety functions, and supports proactive risk management. The incorporation of Bowtie analysis and real-time digital monitoring tools strengthens both visualization and performance assessment. While challenges such as system complexity and resource demands remain, these are mitigated through modular implementation and cross-functional engagement. In conclusion, the framework offers a structured and adaptable model that bridges the gap between compliance-driven and performance-driven safety management. It provides a foundation for future research in predictive analytics and digital safety system integration.