Journal ArticleDOI
The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities
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TLDR
The present study focuses on a human factors analysis in pre- and post- pump maintenance operations of an offshore process facility, aimed at highlighting the importance of considering human error in quantitative risk analyses.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2013-11-01. It has received 117 citations till now. The article focuses on the topics: Human error assessment and reduction technique & Human error.read more
Citations
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A hybrid model for human factor analysis in process accidents: FBN-HFACS
TL;DR: A hybrid dynamic human factor model considering Human Factor Analysis and Classification System, intuitionistic fuzzy set theory, and Bayesian network is presented, testing its robustness in estimating impact rate (degree) of human factor induced failures, consideration of the conditional dependency, and a dynamic and flexible modelling structure.
Journal ArticleDOI
A novel extension of DEMATEL approach for probabilistic safety analysis in process systems
TL;DR: A novel extension toDEMATEL (decision making trial and evaluation laboratory) named Pythagorean fuzzy DEMATEL is proposed on a common probabilistic safety analysis and confirms its robustness in prioritizing critical root events and CAs compared with a conventional model, consideration of the influencing factors, and a dynamic and flexible structure.
Journal ArticleDOI
Human Error Probability Assessment During Maintenance Activities of Marine Systems
TL;DR: The model developed in this study is used to find out the reliability of human performance on particular maintenance activities and is effective in assessing human error probabilities.
Journal ArticleDOI
Modelling worker reliability with learning and fatigue
TL;DR: A mathematical model is developed that estimates the human error rate while performing an assembly job under the influence of learning–forgetting and fatigue–recovery and is able to dynamically measure the humanerror rate and reliability with time.
Journal ArticleDOI
Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network
TL;DR: In this paper, the authors developed a novel methodology using Bayesian Network (BN) to conduct the dynamic safety analysis for the offloading process of an LNG carrier and investigated different risk factors associated with LNG offloading procedures in order to predict the probability of undesirable accidents.
References
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Journal ArticleDOI
The validation of three human reliability quantification techniques — THERP, HEART and JHEDI: part iii — Practical aspects of the usage of the techniques
TL;DR: This paper aims to determine how consistency of usage can be improved and to discern whether certain task types are, in practice, not well-assessed by the techniques, and hence are effectively currently beyond these techniques' abilities.
Book
Reliability Engineering Handbook
Bryan Dodson,Dennis Nolan +1 more
TL;DR: Data collection, analysis and reporting distributions prediction, estimation and apportionment methods reliability testing maintainability and availability failure mode, effects and criticality analysis part selection and derating reliability design and management control product safety human factors in reliability reliability tools.
SLIM-MAUD: an approach to assessing human error probabilities using structured expert judgment. Volume I. Overview of SLIM-MAUD
TL;DR: The SLIM-MAUD (Success Likelihood Index Methodology, implemented through the use of an interactive computer program called MAUD - Multi-Attribute Utility Decomposition) as discussed by the authors.
Journal ArticleDOI
A critique of recent models for human error rate assessment
TL;DR: Both of the time-related models provide human error rates as a function of the available time for action and the prevailing conditions, however, the HCR model ignores the important issue of state-of-knowledge uncertainties, dealing exclusively with stochastic uncertainty, whereas the model presented in the NRC handbook handles both types of uncertainty.
Journal ArticleDOI
Risk based maintenance optimization: foundational issues
S. Apeland,Terje Aven +1 more
TL;DR: This paper presents alternative probabilistic frameworks for risk based maintenance optimization in the offshore industry, using a Bayesian approach, including uncertainty treatment and type of performance measures to be used.
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