A critical review of methods and models for evaluating organizational factors in Human Reliability Analysis

Alvarenga, Marco Antonio Bayout; Melo, Prı́amo A.; Fonseca, Renato Alves da

doi:10.1016/j.pnucene.2014.04.004

Cited by 71 publications

(42 citation statements)

References 46 publications

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“…Therefore, methods for assessing human performance and contributing factors to the error in conducting reactor operation were extensively developed. The approaches were exceptionally broad and covered many aspects such as personal cognitive, communication, organization, human interface, and team personel [9][10][11][12]. The 10 MWth experimental power reactor (RDE) is currenty being developed in Indonesia.…”

Section: Introduction *mentioning

confidence: 99%

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

et al. 2019

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To enhance the safety and reliability of a new reactor, human factors should be integrated into its design process. The experimental power reactor (RDE) currently being developed in Indonesia needs to include human factors in the design process. One approach to incorporate human factors into design is by considering reactor operational experience data. This paper reviews and analyses the operational experience data of RSG-GAS reactor. The operational experience data of RSG-GAS reactor with 40,435 hours of total operation time spanning from 2003 to 2013 was used as a base in the study. In depth analysis on human factors was applied to the primary cooling system using Human Factors Analysis and Classification System-HFACS method. An amount of 289 un-intended trips were found in the observation data period. Most of un-intended trip were caused by external factors (38%). A review on the primary and secondary cooling system operational data showed that 3.11% of un-intended reactor trip occurrence causes were associated with human failure. Most suspected human failure/human error corresponds to the pump maintenance task which is classified as A action category. Analysis on the cooling system based on HFACS showed that the challenges to the human factors are related to unsafe acts, preconditions of unsafe acts, and unsafe supervision. The result reaffirm that human factors should be treated appropriately in the design of reactor equipment and operation procedure as well.Keywords: reactor operation experience, research reactor, human factors, reactor trip

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Section: Introduction *mentioning

confidence: 99%

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

et al. 2019

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“…The number of airline passengers in developing countries has been growing continuously; however, the crash risk of airline transportation in developing countries is 13 times higher than that in USA [27]. Although some typical human errors were identified, more systematic and comprehensive studies are still needed, especially with respect to crucial human factors having higher impacts on aviation safety [28]. Furthermore, a majority of models of aviation human errors analysis emphasize structural or systematic views; however, the arguments need more quantitative investigations, especially in the context of developing countries.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid HFACS-BN Model for Analysis of Mongolian Aviation Professionals’ Awareness of Human Factors Related to Aviation Safety

2018

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Safety is crucial to ensure the sustainability of aviation growth. To better clarify the influences of human factors on aviation accident risks, this study developed a hybrid HFACS-BN model (HFACS: Human Factors Analysis and Classification System; BN: Bayesian Network). The authors designed and implemented a questionnaire survey based on the four-level HFACS framework and collected valid data from 180 out of 649 aviation professionals working in the Ulaanbaatar International Airport, Mongolian in 2017. The model identified 35 major human factors out of 129 factors. The model validation was performed in terms of content validity and predictive validity. The results showed that even though a majority of respondents perceived that many human factors had a middle-or high-effect on aviation accident risks, the probability of the risks caused by human factors was estimated to be just 1.37%. The Unsafe Acts level is most influential to the risks among the four levels, while the Unsafe Supervision level contributes least. It is revealed that enhancing aviation professionals' awareness of human factors should make full use of causal chaining effects among human factors. Finally, this study contributes to the literature from the perspectives of both methodological development and important empirical analysis.Sustainability 2018, 10, 4522 2 of 20 considered to be more than 80% [4]. Various efforts have been made to improve aviation safety by eliminating human errors, and globally, the International Civil Aviation Organization (ICAO) has always been devoted to improving human factors research achievements and adapting the latest ones into the aviation industry.The history of aviation safety experienced the era of technical factors from the early 1900s to late 1960s, and that of human factors from the early 1970s to mid-1990s, respectively. Recently, organizational factors have become a new concern and safety tends to be viewed from a systemic perspective, including both human and organizational factors as well as other factors [5]. Under this background, an effective tool namely Human Factors Analysis and Classification System (HFACS) was developed and it has been widely applied in aviation operation systems. However, challenges remain since HFACS is a theoretical framework and should be examined based on detailed quantitative data under different contexts. In recent years, research on human factors in aviation has been facing new challenges with the improvement of advanced technologies. In addition, commercial airplanes have adopted three crew members instead of two, and the flight environment has become more and more complicated. Compared with traditional mechanical tools, electronic ones have been widely applied and proven to be more effective.Previous studies have focused on searching for the origin of aviation accidents, but neglected professional opinions from experienced investigators or operators [6,7]. New theories and methodologies for human factors in aviation have been proposed, such as the SHEL (Software, Hardwa...

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“…There are also some specific methods developed in the literature for Human Error Probability (HEP) quantification (Sun et al, 2012). Such approaches have been widely applied to deal with human error and human factors in various sectors including nuclear (Alvarenga et al, 2014;Jang et al, 2013), spaceflight (Calhoun et al, 2013(Calhoun et al, , 2014, marine and maritime (Akyuz and Celik, 2015a, 2015b, 2016Yang et al, 2013;Akyuz, 2016;Chen et al, 2013;, and civil infrastructure (Nan and Sansavini, 2016), etc.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid approach to human error probability quantification–applications in maritime operations

Yang

Fang

et al. 2017

Ocean Engineering

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A new hybrid approach to human error probability quantification-applications in maritime operations http://researchonline.ljmu.ac.uk/id/eprint/6876/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively.Xi, YT, Yang, ZL, Fang, QG, Chen, WJ and Wang, J (2017) A new hybrid approach to human error probability quantification-applications in maritime operations. Ocean Engineering, 138. pp. 45-54. AbstractHuman Reliability Analysis (HRA) has always been an essential research issue in safety critical systems. Cognitive Reliability Error Analysis Method (CREAM), as a well-known second generation HRA method is capable of conducting both retrospective and prospective analysis, thus being widely used in many sectors. However, the needs of addressing the use of a deterministic approach to configure common performance conditions (CPCs) and the assignment of the same importance to all the CPCs in a traditional CREAM method reveal a significant research gap to be fulfilled. This paper describes a modified CREAM methodology based on an Evidential Reasoning (ER) approach and a Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for making human error probability quantification in CREAM rational. An illustrative case study associated with maritime operation is presented. The proposed method is validated by sensitivity analysis and the quantitative analysis result is verified through comparing the data and the benchmarking with the real data collected from Shanghai coastal waters. Its main contribution lies in that it for the first time addresses the data incompleteness in HEP, given that the previous relevant studies mainly focus on the fuzziness in data. The findings will provide useful insights for quantitative assessment of seafarers' errors to reduce maritime risks due to human errors.

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A critical review of methods and models for evaluating organizational factors in Human Reliability Analysis

Cited by 71 publications

References 46 publications

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

A Hybrid HFACS-BN Model for Analysis of Mongolian Aviation Professionals’ Awareness of Human Factors Related to Aviation Safety

A new hybrid approach to human error probability quantification–applications in maritime operations

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