Considering performance shaping factors in situation-specific human error probabilities

1996 ◽  
Vol 18 (4) ◽  
pp. 325-331 ◽  
Author(s):  
Kyung S. Park ◽  
Kwang T. Jung
Keyword(s):  
Human Error ◽  
Performance Shaping Factors ◽  
Error Probabilities

Analysis and Estimation of Human Errors From Major Accident Investigation Reports

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Caroline Morais ◽  
Raphael Moura ◽  
Michael Beer ◽  
Edoardo Patelli
Keyword(s):  
Human Error ◽  
Human Performance ◽  
Accident Investigation ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Near Misses ◽  
Performance Shaping Factors ◽  
Major Accident ◽  
Using Data ◽  
Error Probabilities

Abstract Risk analyses require proper consideration and quantification of the interaction between humans, organization, and technology in high-hazard industries. Quantitative human reliability analysis approaches require the estimation of human error probabilities (HEPs), often obtained from human performance data on different tasks in specific contexts (also known as performance shaping factors (PSFs)). Data on human errors are often collected from simulated scenarios, near-misses report systems, and experts with operational knowledge. However, these techniques usually miss the realistic context where human errors occur. The present research proposes a realistic and innovative approach for estimating HEPs using data from major accident investigation reports. The approach is based on Bayesian Networks used to model the relationship between performance shaping factors and human errors. The proposed methodology allows minimizing the expert judgment of HEPs, by using a strategy that is able to accommodate the possibility of having no information to represent some conditional dependencies within some variables. Therefore, the approach increases the transparency about the uncertainties of the human error probability estimations. The approach also allows identifying the most influential performance shaping factors, supporting assessors to recommend improvements or extra controls in risk assessments. Formal verification and validation processes are also presented.

A Study of Expert Judgment on Human Error Probability

1988 ◽  
Vol 32 (15) ◽  
pp. 954-957
Author(s):  
Bernhard Zimolong ◽  
Barbara Stolte
Keyword(s):  
Flexible Manufacturing ◽  
Human Error ◽  
Calibration Equation ◽  
Performance Shaping Factors ◽  
Relative Contribution ◽  
Missing Data Problem ◽  
Subjective Estimation ◽  
Error Probabilities ◽  
Reliability Measurement ◽  
Human Error Probability

An experiment was conducted to derive empirically human error probabilities from a task performed under 12 different conditions. The task was to control a simulated flexible manufacturing scenario (FMS) under three Performance Shaping Factors (PSF): Incentive, workload and event frequency of breakdowns. Six experts with background in human factors assess the relative contribution of each PSF in affecting the likelihood of failure with the multi attribute decomposition technique. The conversion of the assessment values to probabilities was achieved by the use of an empirically derived calibration equation. Results indicate a poor match of empirical HEPs and their estimates and increase the doubts that subjective estimation is a solution to the missing data problem in reliability measurement.

Application of the Saint Code in Modelling and Analyzing Some Human Tasks in Nuclear Power Plants

1981 ◽  
Vol 25 (1) ◽  
pp. 105-109
Author(s):  
A. Mohsen M. Metwally ◽  
Zeinab A. Sabri ◽  
S. Keith Adams ◽  
Abdo A. Husseiny
Keyword(s):  
Task Analysis ◽  
Nuclear Power ◽  
Power Plants ◽  
Human Error ◽  
Nuclear Power Plants ◽  
Human Performance ◽  
Human Engineering ◽  
Performance Shaping Factors ◽  
Power Plant Operation ◽  
Error Probabilities

Two techniques useful for the simulation and analysis of human performance in tasks involving nuclear power plant operation, maintenance and testing are evaluated. The SAINT and THERP techniques are compared with respect to their relevance to conducting task analysis, estimation of human error probabilities and accounting for performance shaping factors in nuclear power plants. The results show that the SAINT is more flexible and has promising features for human engineering studies of complex systems when compared to the static THERP technique currently used in nuclear safety analysis.

Assessment of Human Reliability Under the Conditions of Uncertainty: SPAR-H Methodology Interpreted in Terms of Interval-Valued Probabilities

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Victor G. Krymsky ◽  
Farit M. Akhmedzhanov
Keyword(s):  
Human Error ◽  
Human Reliability ◽  
Maximum Probability ◽  
Worst Case ◽  
Human Errors ◽  
Performance Shaping Factors ◽  
Error Probabilities ◽  
Available Information ◽  
Interval Valued ◽  
Human Error Probability

Abstract The well-known standardized plant analysis risk-human reliability (SPAR-H) methodology is widely used for analysis of human reliability in complex technological systems. It allows assessing the human error probability taking into account eight important groups of performance shaping factors. Application of this methodology to practical problems traditionally involves assumptions which are difficult to verify under the conditions of uncertainty. In particular, it introduces only two possible values of the nominal human error probabilities (for diagnosis and for actions) which do not cover the whole spectrum of the tasks within operator's activity. In addition, although the traditional methodology considers the probabilities of human errors as the random variables, it operates only on a single predefined type of distribution for these variables and does not deal with the real situations in which the type of distribution remains uncertain. The paper proposes modification to the classical approach to enable more adequate modeling of real situations with the lack of available information. The authors suggest usage of the interval-valued probability technique and of the expert judgment on the maximum probability density for actual probabilities of human errors. Such methodology allows obtaining generic results that are valid for the entire set of possible distributions (not only for one of them). The modified methodology gives possibility to derive final assessments of human reliability in interval form indicating “the best case” and “the worst case.” A few numerical examples illustrate the main stages of the suggested procedure.

Human Reliability Analysis of Ship Maneuvers in Harbor Areas

2020 ◽  
Vol 142 (6) ◽  
Author(s):  
Danilo Taverna Martins Pereira de Abreu ◽  
Marcos Coelho Maturana ◽  
Enrique Andrés López Droguett ◽  
Marcelo Ramos Martins
Keyword(s):  
Reliability Analysis ◽  
Human Error ◽  
Human Performance ◽  
Performance Model ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Performance Shaping Factors ◽  
Ship Maneuvers ◽  
Critical Phases ◽  
Error Probabilities

Abstract During a ship life cycle, one of the most critical phases in terms of safety refers to harbor maneuvers, which take place in restricted and congested waters, leading to higher collision and grounding risks in comparison to open sea navigation. In this scenario, a single accident may stop the harbor's traffic as well as incur in patrimonial damage, environmental pollution, human casualties, and reputation losses. In order to support the vessel's captain during the maneuver, local experienced maritime pilots stay on board coordinating the ship navigation while in restricted waters. Aiming to assess the main factors contributing to human errors in pilot-assisted harbor ship maneuvers, this work proposes a Bayesian network model for human reliability analysis (HRA), supported by a prospective human performance model for quantification. The novelty of this work resides into two aspects: (a) incorporation of harbor specific conditions for maritime navigation HRA, including the performance of ship's crew and maritime pilots and (b) the use of a prospective human performance model as an alternative to expert's opinion for quantification purposes. To illustrate the usage of the proposed methodology, this paper presents an analysis of the route keeping task along waterways, starting from the quantification of human error probabilities (HEP) and including the ranking of the main performance shaping factors that contribute to the HEP.

INTENT: a method for estimating human error probabilities for decisionbased errors

1992 ◽  
Vol 35 (2) ◽  
pp. 127-136 ◽  
Author(s):  
David I. Gertman ◽  
Harold S. Blackman ◽  
Lon N. Haney ◽  
Karen S. Seidler ◽  
Heidi A. Hahn
Keyword(s):  
Human Error ◽  
Error Probabilities

A Method for Marine Human Error Probability Estimate: APJE-SLIM

2011 ◽  
Vol 97-98 ◽  
pp. 825-830 ◽  
Author(s):  
Yong Tao Xi ◽  
Chong Guo
Keyword(s):  
Collision Avoidance ◽  
Human Error ◽  
Shipping Industry ◽  
Human Reliability ◽  
Combined Method ◽  
Probability Estimate ◽  
Human Errors ◽  
Performance Shaping Factors ◽  
Industry Research ◽  
Human Error Probability

Safety is the eternal theme in shipping industry. Research shows that human error is the main reason of maritime accidents. Therefore, it is very necessary to research marine human errors, to discuss the contexts which caused human errors and how the contexts effect human behavior. Based on the detailed investigation of human errors in collision avoidance behavior which is the most key mission in navigation and the Performance Shaping Factors (PSFs), human reliability of mariners in collision avoidance was analyzed by using the integration of APJE and SLIM. Result shows that this combined method is effective and can be used for the research of maritime human reliability.

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