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Quantifying organizational factors in human reliability analysis using the big data-theoretic algorithm

Published on Jan 1, 2015
Justin Pence4
Estimated H-index: 4
(UIUC: University of Illinois at Urbana–Champaign),
Zahra Mohaghegh7
Estimated H-index: 7
(UIUC: University of Illinois at Urbana–Champaign)
+ 4 AuthorsMary Anne Billings3
Estimated H-index: 3
Abstract
  • References (27)
  • Citations (6)
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References27
Newest
#1M.A.B. Alvarenga (CNEN: National Nuclear Energy Commission)H-Index: 3
#2P.F. Frutuoso e Melo (UFRJ: Federal University of Rio de Janeiro)H-Index: 7
Last. R.A. Fonseca (CNEN: National Nuclear Energy Commission)H-Index: 1
view all 3 authors...
Abstract This work makes a critical evaluation of the deficiencies concerning human factors and evaluates the potential of quantitative techniques that have been proposed in the last decades, like THERP (Technique for Human Error Rate Prediction), CREAM (Cognitive Reliability and Error Analysis Method), and ATHEANA (A Technique for Human Event Analysis), to model organizational factors, including cognitive processes in humans and interactions among humans and groups. Two important models are dis...
22 CitationsSource
#1Mehmood AhmadH-Index: 1
#2M. PontiggiaH-Index: 5
Last. Micaela DemichelaH-Index: 13
view all 3 authors...
Human and organizational factors (HOF) contribute to large number of accidents in process industries, therefore it is of prime importance to include HOF into risk assessment. In this paper, a newly developed methodology "Method for Error Deduction and Incident Analysis (MEDIA)" is presented. MEDIA is a taxonomy based HOF assessment methodology which can be used to quantify the HOF risk based on an accidental database (EMARS). Primarily, MEDIA analyzes different organizational characteristics and...
3 CitationsSource
#1Konstantinos Kazaras (NTUA: National Technical University of Athens)H-Index: 4
#2Tom Kontogiannis (TUC: Technical University of Crete)H-Index: 18
Last. Konstantinos Kirytopoulos (UniSA: University of South Australia)H-Index: 13
view all 3 authors...
The evolution of accident causation models indicates a shift from the representation of sequences of events to the dynamic analysis of the whole system (i.e. systemic approaches). Respectively, the evolution of safety assessment methods reveals a gradual shift from a search for single immediate causes to a recognition of multiple causes such as organizational and management breakdowns. Following this line of thought, system and control-theoretic accident analysis methods (i.e. STAMP) have been p...
18 CitationsSource
#2Ingrid Bouwer Utne (NTNU: Norwegian University of Science and Technology)H-Index: 20
The article introduces a general method for developing a Bayesian Network (BN) for modeling the risk of maritime ship accidents. A BN of human fatigue in the bridge management team and the risk of ship grounding is proposed. The qualitative part of the BN has been structured based on modifying the Human Factor Analysis and Classification System (HFACS). The quantitative part is based upon correlation analysis of fatigue-related factors identified from 93 accident investigation reports. The BN mo...
76 CitationsSource
#1Marzieh Abolhelm (UIUC: University of Illinois at Urbana–Champaign)H-Index: 1
#2Justin Pence (UIUC: University of Illinois at Urbana–Champaign)H-Index: 4
Last. Ernie KeeH-Index: 7
view all 4 authors...
Inefficiencies in the operation and maintenance of Nuclear Power Plants (NPPs) have caused unnecessary shutdowns, decreases in production, and increases in system risk. Probabilistic Risk Assessment (PRA), which guides risk-informed decision-making, helps expand the operational envelope by allowing more flexibility, adding to the efficiency of preventive and corrective actions and, therefore, generates more profit. However, the financial bottom line of PRA has not yet been formally estimated. Th...
2 Citations
#1Justin Pence (UIUC: University of Illinois at Urbana–Champaign)H-Index: 4
#2Zahra Mohaghegh (UIUC: University of Illinois at Urbana–Champaign)H-Index: 7
Last. David W. JohnsonH-Index: 21
view all 7 authors...
7 Citations
#1Ioannis M. Dokas (UCC: University College Cork)H-Index: 9
#2John Feehan (UCC: University College Cork)H-Index: 4
Last. Syed Imran (UCC: University College Cork)H-Index: 4
view all 3 authors...
Early warning signs and signals are perceivable sets of data which indicate in a timely manner the presence of flaws and threats to a system. Unfortunately, the structured identification and analysis of early warning signs is not readily supported by conventional hazard and risk analysis approaches. To address this problem, the STAMP Based Process Analysis (STPA) has been extended to incorporate the identification of early warning signs. The result is the Early Warning Sign Analysis based on the...
31 CitationsSource
#1Knut R. FossumH-Index: 4
#2C BergH-Index: 1
Last. Stig Ole JohnsenH-Index: 7
view all 5 authors...
1 CitationsSource
#1Tom Kontogiannis (TUC: Technical University of Crete)H-Index: 18
#2Stathis Malakis (Hellenic Civil Aviation Authority)H-Index: 9
A recursive model of accident investigation is proposed by exploiting earlier work in systems thinking. Safety analysts can understand better the underlying causes of decision or action flaws by probing into the patterns of breakdown in the organization of safety. For this deeper analysis, a cybernetic model of organizational factors and a control model of human processes have been integrated in this article (i.e., the viable system model and the extended control model). The joint VSM–ECOM frame...
10 CitationsSource
#1Peng-cheng Li (SCUT: South China University of Technology)H-Index: 3
#2Guohua Chen (SCUT: South China University of Technology)H-Index: 6
Last. Li Zhang (University of South China)H-Index: 3
view all 4 authors...
Organizational factors are the major root causes of human errors, while there have been no formal causal model of human behavior to model the effects of organizational factors on human reliability. The purpose of this paper is to develop a fuzzy Bayesian network (BN) approach to improve the quantification of organizational influences in HRA (human reliability analysis) frameworks. Firstly, a conceptual causal framework is built to analyze the causal relationships between organizational factors a...
64 CitationsSource
Cited By6
Newest
#1M.A.B. AlvarengaH-Index: 3
#2P.F. Frutuoso e Melo (UFRJ: Federal University of Rio de Janeiro)H-Index: 7
Abstract In the early 1990s, criticism over first-generation human reliability analysis (HRA) models, like THERP, SPAR-H, and ASEP, claimed that these models did not have a cognitive architecture capable of dealing with the human information processing. Later, new methodologies emerged, such as ATHEANA, INTEROPS, OMAR, and PROCRU (USA), CREAM, COSIMO, DYLAM/HERMES and MERMOS (Europe), and SEAMAID, CAMEO, and SYBORG (Japan), which represent a more complex modeling both for HRA and human-machine i...
Source
#1Ha Bui (UIUC: University of Illinois at Urbana–Champaign)H-Index: 2
#2Tatsuya Sakurahara (UIUC: University of Illinois at Urbana–Champaign)H-Index: 5
Last. Zahra MohagheghH-Index: 7
view all 6 authors...
Abstract Emergent safety concerns often involve complex spatiotemporal phenomena. In addressing these concerns, the classical Probabilistic Risk Assessment (PRA) of Nuclear Power Plants (NPPs) has limitations in generating the required resolution for risk estimations. The existing dynamic PRAs have yet to demonstrate their feasibility for implementation in a plant. In addition, due to the widespread use of classical PRA in the nuclear industry and by the regulatory agency, a transition to a full...
2 CitationsSource
#1Tatsuya Sakurahara (UIUC: University of Illinois at Urbana–Champaign)H-Index: 5
#2Grant Schumock (UIUC: University of Illinois at Urbana–Champaign)H-Index: 3
Last. Zahra Mohaghegh (UIUC: University of Illinois at Urbana–Champaign)H-Index: 7
view all 5 authors...
Common Cause Failures (CCFs) are critical risk contributors in complex technological systems as they challenge multiple redundant systems simultaneously. To improve the CCF analysis in Probabilistic Risk Assessment (PRA), this research develops the Simulation-Informed Probabilistic Methodology (S-IPM) for CCFs. This new methodology utilizes simulation models of physical failure mechanisms to capture underlying causalities and to generate simulation-based data for the CCF probability estimation. ...
6 CitationsSource
#1Justin PenceH-Index: 4
#2Tatsuya SakuraharaH-Index: 5
Last. Ernie Kee (UIUC: University of Illinois at Urbana–Champaign)H-Index: 3
view all 7 authors...
3 CitationsSource
#1Justin Pence (UIUC: University of Illinois at Urbana–Champaign)H-Index: 4
#2Marzieh Abolhelm (UIUC: University of Illinois at Urbana–Champaign)H-Index: 1
Last. Ernie Kee (UIUC: University of Illinois at Urbana–Champaign)H-Index: 7
view all 6 authors...
Abstract Probabilistic Risk Assessment (PRA) used in Nuclear Power Plants serves as a pillar of the U.S. Nuclear Regulatory Commission's Risk-Informed Regulatory framework, and is required for new reactor licenses to satisfy regulatory safety compliance. The benefits of PRA are not only experienced in terms of safety, but also from the monetary value derived from Risk-Informed Performance-Based Applications (RIPBAs), where risk estimated from PRA is utilized in decision making to expand the safe...
1 CitationsSource
#1Tatsuya Sakurahara (UIUC: University of Illinois at Urbana–Champaign)H-Index: 5
#2Zahra Mohaghegh (UIUC: University of Illinois at Urbana–Champaign)H-Index: 7
Last. Shawn RodgersH-Index: 4
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Abstract In this research, an Integrated probabilistic risk assessment (I-PRA) methodological framework for Fire PRA is developed to provide a unified multi-level probabilistic integration, beginning with spatio-temporal simulation-based models of underlying failure mechanisms (i.e., physical phenomena and human actions), connecting to component-level failures, and then linking to system-level risk scenarios in classical PRA. The simulation-based module, called the fire simulation module (FSM), ...
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