Review Of Risk Assessment Methods Research Articles

Risk assessment methods for process safety, process security and resilience in the chemical process industry: A thorough literature review

This paper presents a systematic literature review of risk assessment methods in the chemical process industry (CPI), focusing on process safety, process security, and resilience. We analyzed peer-reviewed articles from 2000 to 2022 using the PRISMA methodology and identified twelve predominant methods. Our findings reveal a shift towards dynamic, systemic-based assessments like the Functional Resonance Analysis Method (FRAM) and System-Theoretic Accident Model and Processes (STAMP). These methods are particularly effective at capturing the complexities of sociotechnical systems in the CPI. However, a significant observation from our review is the limited emphasis on the resilience paradigm within many existing methods when addressing both process safety and process security risks, which is crucial for preventing and recovering from disruptions. Given the evolving challenges in system safety and security threats, there is an urgent need for holistic methods that integrate process safety, process security, and resilience. Our review highlights the opportunity for further research to better prepare the industry for future challenges, ensuring safer, more secure, reliable, and resilient operations.

Review of risk assessment methods for infectious diseases

At present, the global epidemic situation of infectious diseases is becoming more and more serious and complex, which brings difficulties and challenges to the prevention and control of infectious diseases and poses a serious threat to public health and safety. The premise and basis of the prevention and control of infectious diseases is to carry out scientific risk assessment. Firstly, the common risk assessment methods were introduced, and the limitations of these one-time static assessment methods were analysed. Then the dynamic risk assessment methods for the transmission of infectious diseases were introduced, and expressing the transmission of infectious diseases as scenarios was proposed. Scenarios were deduced to predict the future development trends of infectious diseases. It is of great positive significance to evaluate the risks of infectious diseases according to different development trends, and realize the transition from traditional “prediction-response” to “scenario-response” for improving the emergency management capability of the transmission of infectious diseases.

A Review of Risk Assessment Methods for Power System

In view of the current social background of power system becoming more and more complicated, and the current research situation of related fields, this paper discusses the common methods of power system risk assessment, including the method of hierarchy analysis, Markov chain model, Monte Carlo method, fuzzy comprehensive evaluation and related research progress. The advantages and disadvantages of the four methods are enumerated respectively. It is considered that the power system should be evaluated synthetically in the practical application and the effective risk assessment method should be adopted rationally.