An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics

• Published in: Systems (Basel) Vol. 10; no. 5; p. 137
• Main Authors: Jiao, Jian, Jing, Yongfeng, Pang, Shujie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 02.09.2022
• Subjects: Accident prevention; analytic network process; Behavior; coal mine; Coal mining; Control algorithms; Decision analysis; Decision making; Evaluation; Identification methods; Methods; Nuclear power plants; Qualitative analysis; Quantitative analysis; Risk analysis; Risk factors; Risk management; Safety; safety analysis model; System dynamics; system risks; system theoretic process analysis; System theory; Systems theory; China
• ISSN: 2079-8954; 2079-8954
• DOI: 10.3390/systems10050137

With the complexity of the socio-technical system, the requirement for safety analysis is growing. In actuality, system risk is frequently created by the interaction of numerous nonlinear-related components. It is essential to use safety assessment methods to identify critical risk factors in the system and evaluate the safety level of the system. An integrated safety assessment framework combining the system theoretic process analysis (STPA), the analytic network process (ANP) and system dynamics (SD) is suggested to analyze the safety level of socio-technical systems to achieve qualitative and quantitative safety evaluation. Our study constructs an STPA and SD integration framework to demonstrate the practical potential of combining STPA and SD approaches in terms of risk factors and causality. The framework uses the STPA method to define the static safety control structure of the system and analyzes the primary risk factors. The unsafe control actions (UCAs) from the STPA method are transformed into network layer elements of ANP. The ANP method is used to calculate the element weights, which are the impact coefficients between the system dynamics (SD) variables. The SD method is used to assess the safety level of the system. Finally, a specific coal mining system is used to demonstrate how the proposed hybrid framework works. The results indicated that the safety level of the system was low on days 38 and 120 of the simulation cycle (one quarter). Our work can overcome the limitations of conventional STPA quantitative analysis and simplify SD qualitative modeling to serve as a reference for complicated system safety/risk analysis work.