A basic study on human error in communication network operation

Yamamura, Takeshi; Yata, Kouji; Takatori, Yasushi; Yamaguchi, H.

doi:10.1109/glocom.1989.64074

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Therefore, to survey the factors that affected mental workload, we refer to NUREG-0711 (Rev. 2) and some relevant studies (Abdallah, Genaidy, Salem, & Karwowski, 2004; Karwowski, 2003;Genaidy, Karwowski, & Christensen, 1999;Kantowitz, 1987;Welford, 1978;Yamamura, Yata, Yasushi, & Yamaguchi, 1989). Furthermore, we integrated the elements affecting mental workload and classified them into five factors: human workload, machine factors, material factors, method factors, and environment factors.…”

Section: Questionnaire Designmentioning

confidence: 99%

Evaluation and prediction of on‐line maintenance workload in nuclear power plants

Liang

Lin

Hwang

et al. 2008

Hum Ftrs & Erg Mfg Svc

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This study evaluates engineers' mental workload while maintaining digital systems in nuclear power plants (NPPs). First, according to the factors affecting the mental workload, a questionnaire was designed to evaluate the mental workload of maintenance engineers at the Second NPP in Taiwan. Then 16 maintenance engineers from the Second NPP participated in the experiment survey. The results indicated that the mental workload was lower in maintaining digital systems than that in analog systems. Finally, a mental workload model based on the neural network technique was established to predict the mental workload of maintenance engineers in maintaining digital systems. Through predicting mental workload, the manager can organize the human resources for each daily task to sustain the appropriate mental workload as well as improve maintenance performance. C 2008 Wiley Periodicals, Inc.

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Section: Questionnaire Designmentioning

confidence: 99%

Evaluation and prediction of on‐line maintenance workload in nuclear power plants

Liang

Lin

Hwang

et al. 2008

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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“…System reliability is a function of all the elements, which define system operation; in particular, for complex systems, in addition to reliability function of system technological components, it is necessary to consider all the aspects of information technologies and human interactions (Yamamura et al , 1989).…”

Section: Qualitative Aspects Of Human Interaction For Reliability Assessmentmentioning

confidence: 99%

“…Some papers point out the way in which some human errors are induced by information reports: in particular in the work of Wu and Yoshikawa (1997) and Yamamura et al (1989), some considerations about human–information technology interactions are reported. The experimental data obtained from different human subjects have evidenced that the induced human error can be presented in detection phase or diagnostic phase.…”

Section: Quantitative Aspects Of Human Interactionsmentioning

confidence: 99%

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Human reliability analyses by random hazard rate approach

Chiodo

Gagliardi

Pagano

2004

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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The aim of this paper is to show the connections among uncertainty, information and human knowledge to develop methodologies able to support actions for measure and control of complex processes, and to propose new model to represent human hazard rate. The interest to human reliability analyses (HRA) arose for nuclear applications, observing that 50‐70 per cent of reported failures on operating systems were human‐induced. Since the middle of 1980, methods and tools of HRA have been transferred former to military weapons systems, latter to aviation designs and operations. At present, HRA, which consider human performance and human reliability knowledge, must be an integral element of complex system design and development. In this paper, system reliability function is carried out as a function of technological, information and human components, evidencing how human element affects the whole system reliability. On the basis of consideration that human errors are often the most unexpected and then the least protected, and subject to many random factors, an analytical model is proposed, based on a conditional Weibull hazard rate with a random scale parameter, for whose characterization the log‐normal, gamma and the inverse Gaussian distributions are considered. The aim of this model is to take into account random variability of human performances by introducing a random hazard rate.

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“…The latter type of knowledge stems from corresponding industrial domains in which human operators monitor and control technically complex safety critical systems or environments. Yamamura et al (1989) draw their research on humancomputer interaction research and cognitive systems engineering. According to these research approaches the unit of analysis is an individual operator's problem solving and decision-making in specific tasks.…”

Section: Introductionmentioning

confidence: 99%