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

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 sy...

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Main Authors: Jian Jiao, Yongfeng Jing, Shujie Pang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/10/5/137
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author Jian Jiao
Yongfeng Jing
Shujie Pang
author_facet Jian Jiao
Yongfeng Jing
Shujie Pang
author_sort Jian Jiao
collection DOAJ
description 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.
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spelling doaj.art-788182c73b8340fab95012d395de4ad92023-11-24T02:54:47ZengMDPI AGSystems2079-89542022-09-0110513710.3390/systems10050137An Integrated Quantitative Safety Assessment Framework Based on the STPA and System DynamicsJian Jiao0Yongfeng Jing1Shujie Pang2School of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaWith 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.https://www.mdpi.com/2079-8954/10/5/137safety analysis modelsystem theoretic process analysisanalytic network processsystem dynamicssystem riskscoal mine
spellingShingle Jian Jiao
Yongfeng Jing
Shujie Pang
An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
Systems
safety analysis model
system theoretic process analysis
analytic network process
system dynamics
system risks
coal mine
title An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
title_full An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
title_fullStr An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
title_full_unstemmed An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
title_short An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
title_sort integrated quantitative safety assessment framework based on the stpa and system dynamics
topic safety analysis model
system theoretic process analysis
analytic network process
system dynamics
system risks
coal mine
url https://www.mdpi.com/2079-8954/10/5/137
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