NONE 20260608111520018 wseas/wseas content-registration-form+ja@crossref.org content-registration-form Engineering World 2692-5079 Madhukumar P K Dept. of Electrical and Electronics Engg., Amal Jyothi College of Engg., Kanjirapally, Kottayam, INDIA Rajitha Rajan Dept. of Electrical and Electronics Engg., Amal Jyothi College of Engg., Kanjirapally, Kottayam, INDIA Preseetha K B Dept. of Electrical and Electronics Engg., Amal Jyothi College of Engg., Kanjirapally, Kottayam, INDIA Arunkumar K R Dept. of Electrical and Electronics Engg., Amal Jyothi College of Engg., Kanjirapally, Kottayam, INDIA Manoj K M Rajesh Mathew Dept. of Electrical and Electronics Engg., Amal Jyothi College of Engg., Kanjirapally, Kottayam, INDIA Chemical Engineering is the mainstay of many industries across the world, India being no exception. The industry and their associated domains are fraught with several risks and attendant safety issues. The most cited lacunae relate to the safety risks and related issues that are attributed to process plants belonging to the petrochemical, cracker, polymer, chemical and pharmaceutical classes. While those on the higher scale have been documented exhaustively, the others in the lower echelons also merit attention. These include retail petrol dispensing units, fuel transfer modules, fire resistant motors and the like. The process industry is replete with several industrial operations involving several streams of Chemical, Electrical and Industrial Engineering. The authors have attempted to delve into the intricacies of associated risks and safety management indices. It is further intended to collate the data in a structured manner and analyse it in a manner compatible for further modelled using suitable heuristics centred on data regression and a suitable correlation coefficient to obtain an arrive at a reasonable course of action. The result is expected to produce a set of metrics related to the optimized choices which home into workable solutions and improve safety parameters that result in safer chemical process plants. These recommendations will be hopefully analysed by the Operations and Management group of the client industry to effect suitable corrective actions. 12 31 2025 12 31 2025 171 19 https://creativecommons.org/licenses/by/4.0/deed.en_US 10.37394/232025.2025.7.19 https://wseas.com/journals/ew/2025/a38engw-018(2025).pdf Muhammad Shah Ab Rahim, Genserik Reniers, Ming Yang, Shailendra Bajpai. Risk assessment methods for process safety, process security and resilience in the chemical process industry: A thorough literature review. Journal of Loss Prevention in the Process Industries. Vol 88, Apr 2024. https://doi.org/10.1016/j.jlp.2024.105274. P.A. Arun, S.M. Tauseef, U. Uniyal, “Comparison of Accident Databases and Analysis of Past Industrial Accidents in the Chemical Process Industry,” Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8922–8927, Aug. 2022. DOI: https://doi.org/10.48084/etasr.5079 M. Vijay, “Styrene Gas Leak Incident Analysis in Visakhapatnam: Event Tree Analysis, Root Cause Analysis and Threat Zone Determination Using ALOHA Software,” Asian Journal of Environment & Ecology, vol. 23, no. 7, pp. 252– 264, 2024. DOI: https://doi.org/10.9734/ajee/2024/v23i7578 Industrial Safety Management, Purnendu Manda Pradip Kumar Ray. Springer. 2018. Sandip Roy, Rohit Kshirsagar. Development of risk acceptance criteria in the Indian context. Process Safety and Environmental Protection. Volume 148, April 2021. https://doi.org/10.1016/j.psep.2020.10.021. M. E. Ezerins, T. D. Ludwig, T. O’Neil, A. M. Foreman, and Y. Açıkgöz, “Advancing Safety Analytics: A Diagnostic Framework for Assessing System Readiness within Occupational Safety and Health,” Safety Science, vol. 146, pp. 105569–105581, Feb. 2022. DOI: https://doi.org/10.1016/j.ssci.2021.105569 Chitra Rajagopal, A. K. Jain. Quantitative Risk Assessment in Process Plant, Defence Science Journal 47(2):197-205, DOI: 10.14429/dsj.47.3996, Apr. 1997. Naser Badri,Farshad Nourai, Davood Rashtchian. Quantitative Risk Assessment-The role of quantitative risk assessment in improving hazardous installations siting: A Case Study. Iranian journal of chemistry & chemical engineering. Vol. 30(4):113-119, Dec. 2011. https://doi.org/10.30492/ijcce.2011.61.