Risk management and safety
A.V. Solovyev Modeling the influence of the human factor on the functioning of information systems
Production and infrastructure subsystems efficiency assessment
Information Technology
Mathematical models of socio-economic processes
Recognition of images
A.V. Solovyev Modeling the influence of the human factor on the functioning of information systems
Abstract. 

The article proposes an approach to modeling the Human Reliability Assessment (HRA), based on the assessment of the human error probabilities. Human error probabilities (HEP) are modeled depending on several important characteristics of a person, such as the ability to fatigue, the ability to rest, accuracy, the ability to endure information overload, the ability to memorize information, the ability to make decisions under time pressure, qualimetric characteristics. The article identifies the data required for modeling that need to be collected
to conduct an HRA assessment. An advantage of the HRA modeling approach proposed in this article is that it is easy to evaluate and collect the necessary data. The advantage of the mathematical model for assessing HRA is the empirically obtained dependence of HEP on the operations performed by a person in the information system. The presented mathematical model for assessing HRA and modeling methodology for HRA have been tested within the framework of scientific and methodological support for the modernization of Russian Federation State Automated System “Vybory” and the Electronic Archive of Personified Accounting Documents of the Pension Fund of the Russian Federation. In further studies, it is planned to improve the accuracy and reliability of the simulation results.

Keywords: 

modelling, information systems development, human factor, Human Reliability Assessment, reliability, human error probabilities

PP. 34-43.
 
DOI: 10.14357/20790279210104
 
References

1. The human factor is underestimated [“Chelovecheskiy faktor nedoocenivayut”]. Computerworld, 11, 2017. URL: https://www.osp.
ru/cw/2017/11/13052490/ (last access 20.01.2021).
2. V.I. Danilyak et al. “The human factor in quality management” [“Chelovecheskiy faktor v upravlenii kachestvom”]. Logos. 2011.
3. Abramova N.A., Ginsberg K.S., Novikov D.A. “The human factor in management” [“Chelovecheskiy faktor v upravlenii”]. URSS, 2006.
4. Vetlugin K. “Human factor” [“Chelovechskiy faktor”] / Computerworld, 11, 2006. URL: https://www.osp.ru/cw/2006/11/377051/ (last access 20.01.2021).
5. Li P., Li X., Zhang L., Dai L. A validation research on fuzzy logic-AHP-based assessment method of operator’s situation awareness reliability // Safety Science. 2019. Vol.119. P. 344-352.
6. Park J., Arigi A.M., Kim J. A comparison of the quantification aspects of human reliability analysis methods in nuclear power plants // Annals of Nuclear Energy. 2019. vol. 133. P. 297-312.
7. Giardina M., Buffa P., Dang V., Podofillini L., Prete G. Early-design improvement of human reliability in an experimental facility: A combined approach and application on SPES // Safety Science. 2019. vol.119. P.300-314.
8. Groth K.M., Smith R., Moradi R. A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science // Reliability Engineering and System Safety. 2019. Vol.191.
9. Wang Y., Ding Y., Chen G., Jin S. Human reliability analysis and optimization of manufacturing systems through Bayesian networks and human factors experiments: A case study in a flexible intermediate bulk container manufacturing plant // International Journal of Industrial Ergonomics. 2019. Vol.72. P. 241-251.
10. Zhou Q., Wong Y.D., Loh H.S., Yuen K.F. A fuzzy and Bayesian network CREAM model for human reliability analysis – The case of tanker shipping // Safety Science. 2018. Vol.105. P.149-157.
11. Dijksterhuis W.P.M., Hulshoff J.B., van Dullemen H.M., Hospers G.A.P., Plukker J.T.M. Reliability of clinical nodal status regarding response to neoadjuvant chemoradiotherapy compared with surgery alone and prognosis in esophageal cancer patients // Acta Oncologica. 2019. Vol. 58(11). P. 1640-1647.
12. Di Pasquale V., Miranda S., Neumann W.P., Setayesh A. Human reliability in manual assembly systems: a Systematic Literature Review // IFACPapersOnLine. 2018. Vol. 51(11). P.675-680.
13. Korchagin V.A., Englezi I.P. Analysis of the influence of the human factor on the parameters of the emergency // Actual problems of economics and management: theoretical and applied aspects. 2018. P. 409-414.
14. Liu H.-C., Li Z., Zhang J.-Q., You X.-Y. A large group decision making approach for dependence assessment in human reliability analysis // Reliability Engineering and System Safety. 2018. Vol.176. P.135-144.
15. Zhao J., Deng Y. Performer selection in human reliability analysis: D numbers approach // International Journal of Computers, Communications and Control. 2019. Vol.14(3). P.437-452.
16. Zavyalov A.M., Zavyalova Yu.V., Astashkina L.A. Ensuring the safety of production processes by reducing the impact of the human factor // Modern approaches to ensuring hygienic, sanitary and epidemiological safety in railway transport. 2016. P.132-136.
17. Gorelik A.V. et al. “Expert assessment of human influence on the reliability of railway automation systems” [“Ekspertnaya otsenka vliyaniya cheloveka na nadezhnost' raboty sistem zheleznodorozhnoy avtomatiki”] in “Science and technology of transport” [“Nauka i tekhnika transporta”]. 2018. Vol.3. P.49-54.
18. Chen J., Zhou D., Lyu C., Zhu X. A method of human reliability analysis and quantification for space missions based on a Bayesian network and the cognitive reliability and error analysis method // Quality and Reliability Engineering International. 2018. Vol.34(5). P.912-927.
19. Arigi A.M., Kim G., Park J., Kim J. Human and organizational factors for multi-unit probabilistic safety assessment: Identification and characterization for the Korean case // Nuclear Engineering and Technology. 2019. Vol.51(1). P.104-115.
20. Kim Y., Park J., Jung W., Choi S.Y., Kim S. Estimating the quantitative relation between PSFs and HEPs from full-scope simulator data // Reliability Engineering and System Safety. 2018. Vol.173. P.12-22.
21. Musharraf M., Smith J., Khan F., Veitch B., MacKinnon S. Incorporating individual differences in human reliability analysis: An extension to the virtual experimental technique // Safety Science. 2018. Vol.107. P.216-223.
22. Zheng X., Deng Y. Dependence assessment in human reliability analysis based on evidence credibility decay model and IOWA operator // Annals of Nuclear Energy. 2018. Vol.112. P.673- 684.
23. Bolotsky D.N., Gorelik A.V., Parkhomenko A.A., Taradin N.A. The Analysis of the Effect of Service Personnel on the Emergence of Operating Failures of Automation and Remote Control Systems on Railways // Science and business: development paths. 2019. Vol.6(96). P.44-48.
24. Glebova E.V., Retinskaya I.V., Volokhina A.T., Guskov M.A., Guskova T.N. Development of the mathematical model for assessing human factor impact on production processes safety // Environmental protection in oil and gas complex. 2019. Vol.3(288). P.34-38.
25. Akimova G.P., Solovyev A.V., Tarkhanov I.A. “Reliability Assessment Method for Geographically Distributed Information Systems”. The IEEE 12th International Conference on Application of Information and Communication Technologies (AICT 2018, 17-19 Oct. 2018, Almaty, Kazakhstan), IEEE. 2018. P.188-191.
26. Druzhinin G.V. “Man in technology models. Part I: Human Properties in Technological Systems” [“Chelovek v modelyakh tekhnologiy. Chast’I: Svoystva cheloveka v tekhnologicheskikh sistemakh”]. MIIT. 1996. 144 p.
27. Tsibulevskiy I.E. “Erroneous reactions of the human operator” [“Oshibochnyye reaktsii cheloveka-operatora”]. Radio. 1979. 208 p.
28. Lomov B.F. et al. “Military Engineering Psychology” [“Voyennaya inzhenernaya psikhologiya”], Voenizdat. 1970. 400 p.
29. Akimova G.P., Pashkina E.V., Soloviev A.V. “Analysis of the assessment of the effectiveness of a hierarchical geographically distributed information system by the example of GAS “Vybory”” [“Analiz ocenki jeffektivnosti ierarhicheskoj territorial’no- raspredelennoj informacionnoj sistemy na primere GAS “Vybory“] in Proceedings of the Institute of System Analysis of the Russian Academy of Sciences. 2010. Vol.58. P.25-38.
30. Soloviev A.V. et al. “Concept «Umnyj gorod Skolkovo» for Skolkovo innovation center and set of measures for its implementation. Vol 3. Logikomatematicheskaja model’ «Umnogo goroda»”: research report. ISA RAN. 2012. 141 p.
 
2024-74-2
2024-74-1
2023-73-4
2023-73-3

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".