Comparative Research on Simulation Models for...

Comparative Research on Simulation Models for Risk Assessment

Author Name : Tikam Lal, Sanjay Kumar Sahu, Jaykant Gupta

ABSTRACT

This work utilizes a Monte Carlo simulation to compare different dose-response models in the context of risk assessment. The dose-response models examined include linear dose-response models, non-linear dose-response models, threshold models, multistage carcinogenicity models, and time-to-effect models. The simulation results provide insights into the mean risk and standard deviation of risk associated with each model. Additionally, the study utilizes a comprehensive accident database from 12 different plants in 3 countries to analyze accident patterns and identify critical risks in the industrial sector. The database includes information such as the timestamp, country, local city, industry sector, accident level, potential accident level, genre, employee or third party involvement, critical risk description, and accident description. This database serves as a valuable resource for understanding accident occurrences and implementing preventive measures to enhance safety in industrial settings.

Keywords: Monte Carlo Simulation, Dose-Response- Multistage Models, Mean Risk, Standard Deviation of Risk, Critical Risk Description