Linking Human Factors to Assess Human Reliability

Author(s):  
Fabio Fruggiero ◽  
Marcello Fera ◽  
Alfredo Lambiase ◽  
Valentina Di Pasquale
2019 ◽  
Vol 7 (2B) ◽  
Author(s):  
Vanderley Vasconcelos ◽  
Wellington Antonio Soares ◽  
Raissa Oliveira Marques ◽  
Silvério Ferreira Silva Jr ◽  
Amanda Laureano Raso

Non-destructive inspection (NDI) is one of the key elements in ensuring quality of engineering systems and their safe use. This inspection is a very complex task, during which the inspectors have to rely on their sensory, perceptual, cognitive, and motor skills. It requires high vigilance once it is often carried out on large components, over a long period of time, and in hostile environments and restriction of workplace. A successful NDI requires careful planning, choice of appropriate NDI methods and inspection procedures, as well as qualified and trained inspection personnel. A failure of NDI to detect critical defects in safety-related components of nuclear power plants, for instance, may lead to catastrophic consequences for workers, public and environment. Therefore, ensuring that NDI is reliable and capable of detecting all critical defects is of utmost importance. Despite increased use of automation in NDI, human inspectors, and thus human factors, still play an important role in NDI reliability. Human reliability is the probability of humans conducting specific tasks with satisfactory performance. Many techniques are suitable for modeling and analyzing human reliability in NDI of nuclear power plant components, such as FMEA (Failure Modes and Effects Analysis) and THERP (Technique for Human Error Rate Prediction). An example by using qualitative and quantitative assessesments with these two techniques to improve typical NDI of pipe segments of a core cooling system of a nuclear power plant, through acting on human factors issues, is presented.


Author(s):  
Oladokun Sulaiman Olanrewaju

The traditional approach to the study of human factors in the maritime field involves the analysis of accidents without considering human factor reliability analysis. The main approaches being used to analyze human errors are statistical approach and probability theory approach. Another suitable approach to the study of human factors in the maritime industry is the quasi-experimental field study where variations in performance (for example attention) can be observed as a function of natural variations in performance shaping factors. This chapter analyzes result of modelling for human error and human reliability emanating from the use of technology on board ship navigation in coastal water areas by using qualitative and quantitative tools. Accident reports from marine department are used as empirical material for quantitative analysis. The literature on safety is based on common themes of accidents, the influence of human error resulting from technology usage design, accident reports from MAIB, and interventions information are used for qualitative assessment. Human reliability assessment involves analysis of accidents in waterways emanating from human-technology factors. The chapter reports enhancement requirement of the methodological issues with previous research study, monitoring, and deduces recommendations for technology modification of the human factors necessary to improve maritime safety performance. The result presented can contribute to rule making and safety management leading to the development of guidelines and standards for human reliability risk management for ships navigating within inland and coastal waters.


1987 ◽  
Vol 18 (1) ◽  
pp. 72-73
Author(s):  
Barry Kirwan

2018 ◽  
Vol 19 (6) ◽  
pp. 180-184
Author(s):  
Waldemar Nowakowski ◽  
Tomasz Ciszewski ◽  
Zbigniew Łukasik

Safety is one of the main conditions for the functioning of the transport. The most attention is paid to the technical aspects of transport safety. However, accidents in transport are caused by many different factors and these primarily are: human factors, organizational factors, technical factors and environmental factors. Statistical data indicate that the main cause of accidents and disasters in transport are human errors. Thus, the elimination or reduction of their number could significantly improve the safety in transport. In the article the issues of human reliability in the context of ensuring safety are discussed. Additionally, the classification of human errors was given and an analysis of the causes of these errors was conducted. The main emphasis was put to present and evaluate of the selected methods of qualitative and quantitative Human Reliability Analysis (HRA), such as: THERP, ASEP, HEART, SPAR-H, ATHEANA, CREAM.


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