Advances in human reliability analysis methodology. Part I: frameworks, models and data

Moieni, P.; Spurgin, Anthony J.; Singh, Avtar

doi:10.1016/0951-8320(94)90105-8

Cited by 59 publications

(20 citation statements)

References 6 publications

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“…Examples are Three-Mile Island Unit 2 (TMI-2), Chernobyl, Challenger, Bhopal, Piper Alpha accidents that involved human deficiencies in various areas of management, operations, maintenance and training. Reduction of human error is one of the major interests for the enhancement of system safety and availability [1].…”

Section: Introductionmentioning

confidence: 99%

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Multi-State System in human reliability analysis

Zaitseva

Puuronen

2009

2009 2nd Conference on Human System Interactions

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Abstract -Application of mathematical model of Multi-State System for human reliability analysis is considered in the paper. This paper describes new method for estimation of changes of more than one component states and they influence to Multi-State System reliability by Dynamic Reliability Indices. The Multi-State System failure is considered depending on decrease of some system component efficiency and the Multi-State System repair is declared depending on replacement of some failed components. The mathematical approach of Logical Differential Calculus is used for analysis of the Multi-State System reliability change that is caused by modifications of some system components states.

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Section: Introductionmentioning

confidence: 99%

“…The uncertainties in the evolution of the events are expressed by probabilities. The decision analytic view in the modeling makes it possible to take the objectives of the decision makers into account in the analysis [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Multi-State System in human reliability analysis

Zaitseva

Puuronen

2009

2009 2nd Conference on Human System Interactions

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“…As noted in Moieni (1994), the p 2 contribution to the total failure probibility, p HA (Equation 7-22) is normally dominant when the time available for a given HA is of the same order as the time taken by the crew in carry out the response. However, p 1 can become dominant if the time available is greatly in excess of the task response time and error-causing conditions exist.…”

Section: Representation Modeling and Quantifying Pmentioning

confidence: 99%

Preclosure Safety Analysis Guide

Orvis¹

2003

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“…Probability risk analysis mostly deals with evaluation of components, systems and equipment failure probabilities, human error probabilities and quantification of accident scenarios, which includes modelling of physical processes (Moieni, 1994;Clément et al, 2005). The model is a computer assisted decision tool that combines all the previously mentioned probabilities.…”

Section: Risk Management In the Manufacturing Of Jet Enginesmentioning

confidence: 99%

Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.

Pereira

Lima

2015

Int. J. Prod. Manag. Eng.

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The use of probabilistic risk analysis in jet engines manufacturing process is essential to prevent failure. The objective of this study is to present a probabilistic risk analysis model to analyze the safety of this process. The standard risk assessment normally conducted is inadequate to address the risks. To remedy this problem, the model presented in this paper considers the effects of human, software and calibration reliability in the process. Bayesian Belief Network coupled to a Bow Tie diagram is used to identify potential engine failure scenarios. In this context and to meet this objective, an in depth literature research was conducted to identify the most appropriate modeling techniques and an interview were conducted with experts. As a result of this study, this paper presents a model that combines fault tree analysis, event tree analysis and a Bayesian Belief Networks into a single model that can be used by decision makers to identify critical risk factors in order to allocate resources to improve the safety of the system. The model is delivered in the form of a computer assisted decision tool supported by subject expert estimates.

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Advances in human reliability analysis methodology. Part I: frameworks, models and data

Cited by 59 publications

References 6 publications

Multi-State System in human reliability analysis

Multi-State System in human reliability analysis

Preclosure Safety Analysis Guide

Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.

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