Development of model for human factor influence assessment on construction and road machines operation efficiency

Introduction. The human factor and the characteristics of construction and road machine operators, such as experience, work experience, professional skills, skill, etc., have a significant impact on the efficiency of equipment operation. The human factor, on average, is the cause of about a third of the failures of construction and road machines. One of the most effective ways out of this situation is to improve the machines from the point of view of ensuring the compatibility of the elements of the human-machine system. The article considers the issues of the engineering and psychological component of compatibility.

Materials and methods. The method of analysis of hierarchies is used, when solving the problem of identifying the causes of operators’ errors and fuzzy logic, to build a model for assessing the impact of the human factor on the efficiency of construction and road machines.

Results. As a result of a comprehensive assessment of the causes of errors, it was found that the largest combination of criteria is a group of errors associated with the peculiarities of the task being performed, as well as the properties of the information processed by a person. The developed model for assessing the influence of the human factor on the efficiency of machine operation uses risk as an output variable, and input variables a generalized indicator of the complexity of the algorithm and the level of qualification of the machine operator.

Discussion and conclusions. The resulting model allows you to make a primary assessment of the impact of the human factor and maintenance and repair planning, as well as be used in personnel management processes, for example, in terms of sending personnel for training. Further improvement is seen in the development of neurofuzzy anfys models which provide a knowledge base for more effective risk assessment by specific precedents. The structure of the model in terms of input variables for a more correct risk assessment is also possible to be changed.

1. Ter-Mkhitarov M.S., Mukhin V.D. Peredatochnye funkcii cheloveka-operatora v rezhime otrabotki zadannoj oshibki, pri upravlenii razlichnym kolichestvom koordinat [Transfer functions of a human operator in the mode of working out a given error, when controlling a different number of coordinates]. Problems of engineering psychology. 1971. 52-65. (in Russian)

2. Velikanov, V.S. Kompleksny jpodhod po sovershenstvovaniyu ergonomicheskih pokazatelej kar’ernyh ekskavatorov [A comprehensive approach to improving the ergonomic indicators of quarry excavators]. Magnitogorsk, MSTU, 2011. 85 p. (in Russian)

3. Abdrakhmanov A.A., VelikanovV.S., Safin G.G. Kvalifikaciyapersonala kak instrument v povyshenii effektivnosti ekspluatacii kar’ernyh ekskavatorov [Personnel qualification as a tool in improving the efficiency of mine excavators]. Modern knowledge-intensive technologies. 2015; 12: 193-198. (in Russian)

4. Ageev E.V., AgeevaE.V. Povyshenie kachestva remonta I vosstanovleniya detalej sovremennyh transportnyh sredstv [Improving the quality of repair and restoration of parts of modern vehicles]. Izvestia Tula State University. Technical sciences. 2011; 3: 503-508. (in Russian)

5. Chapman S.N., Just-in-time supplier inventory: An empirical implementation Model. International Journal of Production Research. 1993. 329-334.

6. Toloo M., A cost efficiency approach for strategic vendor selection problem under certain input prices assumption. ScienceDirect. 2016. 175-183.

7. Saaty T.L. The Analytic Hierarchy Process. New York; St. Louis, 1980.

8. Schneeweib C. Planung, Systemanalytische und entscheidungstheoretische. Grundlagen, Berlin, 1991.

9. Ovsyannikov V.E. and others. Sovershenstvovanie upravleniya riskami v sfere perevozki nefteproduktov [Improving risk management in the field of transportation of petroleum products]. News of UZUZOV. Oil and gas. 2020; 3: 120-128. (in Russian)

10. Baranov Yu.N., Tryaktsyn A.P. Analysis and risk assessment in the transport of dangerous goods by road in the agro-industrial complex [Analiz I ocenka riska pri perevozke opasnyh gruzov avtomobil’nymtransportom v APK] // Bulletin of OrelGAU, 2010. No. 5. S. 29-33. (in Russian)

11. Korotchenko E.A., Petrunina Yu.L. Metod ocenki riskov “Kriterii. Sobytiya. Pravila” [Criteria. Events. Rules risk assessment method]. International Journal of Open Information Technologies. ISSN: 2307-8162. 2016; 4(5). (in Russian)

12. Zorin V.A., Rostamian M. Ocenka riskov legkovyh avtomobilej s uchetom uslovij ekspluatacii [Risk assessment of cars taking into account operating conditions]. Scientific and Technical Bulletin of Bryansk State University. 2020; 1: 34-41. (in Russian)

13. Zorin V.A. Upravlenie riskami pri proektirovanii, proizvodstve I ekspluatacii SDM [Risk management during design, production and operation of SDM]. Mechanization of construction. 2016; 10: 45-48. (in Russian)

14. Uskov A.A. Sistemy s nechetkimi modeljami ob’ektov upravlenija [Systems with fuzzy models of control objects]. Smolensk, SFRUK, 2013. 153 p. (in Russian)

15. Mamdani E.H. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies. 1975; 7: 1-13.

16. Bergmann M. An Introduction to Many-Valued and Fuzzy-Logic. Semantics, Algebras and Derivation Systems. Cambridge University Press. 2008.

17. Zadeh L.A. Fuzzy set. Information and control.1965; 8: 338.

18. Mamdani E. A. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Computers. 1977; 26 (12): 1182-1191.

19. Ovsyannikov V.E., Vasiliev V.I. Obespechenie sovmestimosti elementov sistemy «chelovek-mashina» na etape proektirovaniya tekhnologicheskogo oborudovaniya predpriyatij avtomobil’nogo transporta [Ensuring the compatibility of elements of the man-machine system at the stage of designing technological equipment of road transport enterprises]. Kurgan, publishing house of KSU, 2017. 79. (in Russian)

20. Vogt Andrew, Bared Joe. Accident models for two-lane rural segments and intersections. Transportation Research Record. 1998; 1635: 18-29.

21. Akimova A.Y., Oboznov A.A., Akimova A.I., Razina V.V. Intelligent system for the formation of conceptual model of technological object. Experimental Psychology. 2013; 6(4): 52-58.

22. Wickens C. D. Engineering Psychology and Human Performance. Transport Research Laboratory. 1992; 3 (4): 124-132.

23. Stanton, N. A. Human Factors in Nuclear Safety. Taylor & Francis. London. SENTENTIA. European Journal of Humanities and Social Sciences. 2014; 4.

24. Sanders, M. S. & McCormick, E. J. Human Factors in Engineering and Design. McGraw-Hill. New York. Taylor & Francis. 383-394.

25. Ovsyannikov V.E., Vasiliev V.I., Jarov S.P, Deneko M.A. Ensuring road safety on the basis of engineering-psychological evaluation of drivers labour. IOP Conference Series Materials Science and Engineering. 2019. 325-338.