Comparison of the FMEA and STPA safety analysis methods–a case study

Sulaman, Sardar Muhammad; Beer, Armin; Felderer, Michael; Höst, Martin

doi:10.1007/s11219-017-9396-0

Cited by 76 publications

(48 citation statements)

References 28 publications

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“…There are many factors to consider in selecting an appropriate risk and hazard analysis method to a given problem (Sulaman, Beer, Felder, & Host, 2017). Many methods have been developed and implemented to evaluate the hazards inherent in the operation of complex systems.…”

Section: Introductionmentioning

confidence: 99%

“…Many methods have been developed and implemented to evaluate the hazards inherent in the operation of complex systems. Methods such as Hazard and Operability Analysis (HAZOP), Failure Modes Effect Analysis (FMEA) and Fault Tree Analysis (FTA) are widely used to identify hazards in complex systems, however these methods only consider the system as an "assembly" of individual components and can miss the hazards associated arising from the interactions among the components (Sulaman, Beer, Felder, & Host, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of STPA and Bow-tie Method Outcomes in the Development and Testing of an Automated Water Quality Management System

Merrett

Horng

Piggot³

et al. 2019

MATEC Web Conf.

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The technology available to water quality management applications needs to be advanced due to greater use of automation to increase ease of operation, support remote operation and reduce risks due to operator error. In this case study, a comparison is made between System-Theoretic Process Analysis (STPA) and the Bow-tie methodology for identifying process hazards and countermeasures which can be used to guide the design and testing of an automated water quality management system (AWQMS). For this study, the application considered is a small hydroponics installation where water quality management has been automated. The STPA methodology uses a system theory-based approach to identify hazards, which include operational failures, human errors, and component interactions. The Bow-tie diagram focuses on individual barriers for a given threat which can prevent the realisation of a hazardous event and unwanted consequences. Thus, the 22 preventative barriers and seven recovery barriers identified through the Bow-tie diagram provide the design process with broad requirements for reducing the risks of user error as well as the ones associated with ongoing operations. The STPA method identified many Causal Factors (CF) generated from the Unsafe Control Actions after considering all the feasible scenarios. For design input, the STPA provided the design process with 204 specific CFs which were used to create 94 countermeasures to be included in software and hardware design as well as user information material. Both methods identified useful measures to control the hazards associated with human interaction with the AWQMS. However, the measures differed in the level of detail and the involvement in the evolution in the final system losses. In this study, the STPA process was able to identify several hazards which did not visibly relate to the Bow-tie barriers. However, the Bow-tie diagram illustrates a distinction between preventative and recovery hazard controls.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of STPA and Bow-tie Method Outcomes in the Development and Testing of an Automated Water Quality Management System

Merrett

Horng

Piggot³

et al. 2019

MATEC Web Conf.

View full text Add to dashboard Cite

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“…Table 1 summarises the main differences in these methods. A detailed comparison of STPA with the more widely used failure mode and effect analysis (FMEA) can be found in [16], which identifies a clear benefit of STPA; its ability to identify causal factors for identified unsafe control actions and hazards. This approach, therefore, is ideal for the analysis of complex control systems, such as a slope stability monitoring system, involving sensing, analytics and human "actors".…”

Section: System-theoretic Process Analysismentioning

confidence: 99%

Systems Engineering Approach to Slope Stability Monitoring in the Digital Mine

Elmouttie¹,

Dean²

2020

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Slope stability monitoring in open cut mining is increasingly based on the use of a variety of different sensors and associated analytics, each capable of providing part of the understanding required to manage complex geotechnical environments. Designing an integrated monitoring system that is both attainable and fit for purpose can therefore be particularly challenging. In this paper, a systems engineering approach based on a novel methodology is presented to design the slope monitoring system. The methodology uses the rock engineering systems (RES) approach to system decomposition for geotechnical engineering problems, to determine the critical rock mass behaviours requiring monitoring. It follows this with the application of the system theoretic process analysis (STPA) approach, to design the control system for the monitoring system and identify and mitigate sub-optimal configurations. We demonstrate that the approach is practical to implement and supports transparent and defensible decision making for designing and implementing slope monitor systems. We apply the method to the design of a monitoring system for an Australian coal mine and demonstrate how the approach can facilitate the identification and design of new sensing modalities.

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“…Numerous methods are frequently employed to evaluate the hazards involved in the operation of complex systems. Many of these component failure-based methods such as Hazard and Operability Analysis, Failure Modes Effect Analysis, Bowtie Analysis and Fault Tree Analysis are used to identify hazards in the assessment of drinking water systems [14]. Managing catchments as a water treatment asset poses a set of unique challenges compared to conventional water supply infrastructure.…”

Section: Source Protection Programsmentioning

confidence: 99%

A Systems Analysis Approach to Identifying Critical Success Factors in Drinking Water Source Protection Programs

2019

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The success of source protection in ensuring safe drinking water is centered around being able to understand the hazards present in the catchment then plan and implement control measures to manage water quality risk to levels which can be controlled through downstream barriers. The programs in place to manage source protection are complex sociotechnical systems involving policy, standards, regulators, technology, human factors and so on. This study uses System Theoretic Process Analysis (STPA) to analyze the operational hazards of a typical drinking water source protection (DWSP) program and identify countermeasures to ensure safe operations. To validate the STPA results a questionnaire was developed based on selective grouping of the initial countermeasures identified and distributed to specialists in DWSP in Taiwan, Australia and Greece. Through statistical analysis using Principle Components Analysis (PCA), the study identified four critical success factors (CSFs) for DWSP based on the questionnaire responses. The four CSFs identified were “Policy and Government Agency Support of Source Protection”, “Catchment Risk Monitoring and Information”, “Support of Operational Field Activities” and “Response to Water Quality Threats”. The results of this study provide insight into the approach of grouping of source protection measures to identify a series of targeted CSF for operational source protection programs. Using CSF can aid catchment management agencies in ensuring that the risk level in the catchment is managed effectively and that threats to public health from drinking water are managed appropriately.

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Comparison of the FMEA and STPA safety analysis methods–a case study

Cited by 76 publications

References 28 publications

Comparison of STPA and Bow-tie Method Outcomes in the Development and Testing of an Automated Water Quality Management System

Comparison of STPA and Bow-tie Method Outcomes in the Development and Testing of an Automated Water Quality Management System

Systems Engineering Approach to Slope Stability Monitoring in the Digital Mine

A Systems Analysis Approach to Identifying Critical Success Factors in Drinking Water Source Protection Programs

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