Миварная экспертная система для поддержки принятия решений персонала на производстве планетарных редукторов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Mivar expert system for supporting personnel decision-making in the production of planetary gearboxes

Antonova A.A.,  idVarlamov O.O.

UDC 004.891+007.52+004.896+681.518+65.011.56
DOI: 10.26102/2310-6018/2025.48.1.042

  • Abstract
  • List of references
  • About authors

The article analyzes the field of production of planetary gearboxes and identifies problems that arise at enterprises during production. As a solution to the problems, the development of a mivar expert system is proposed, the task of which is to monitor the progress of gearbox production, support decision-making and timely notification of enterprise employees about errors and deviations. The relevance of the work is due to the need to increase automation in gearbox production. The decision-making basis will be the mivar knowledge base, for the compilation of which the stages and parameters of the technological process of gearbox production are formalized. The result of the work is a mivar expert system to support decision-making of personnel at an enterprise producing planetary gearboxes. The materials of the article are of practical value for specialists in the field of automation of production processes, as well as for managers and engineers seeking to improve management efficiency and optimize production processes. The scientific novelty of the work is to substantiate the feasibility of using mivar expert systems to automate production processes related to the assembly of gearboxes, their testing and storage in a warehouse. This system can serve as a basis for further developments and research in the field of integrating intelligent technologies into production processes.

1. Varlamov O.O. Evolyutsionnye bazy dannykh i znanii dlya adaptivnogo sinteza intellektual'nykh sistem. Mivarnoe informatsionnoe prostranstvo. Moscow: Radio i svyaz'; 2002. 286 p. (In Russ.).

2. Shen Q., Gong Sh., Varlamov O.O., Adamova L.E., Balenko E.G. Dynamic robot path planning based on semantic object detection using mivar expert system. Problems of Artificial Intelligence. 2024;(4):164–176. (In Russ.). https://doi.org/10.24412/2413-7383-2024-4-164-176

3. Krivosheev O.V. On the development of a mivar algorithm for allocating resources of production systems in conditions of incomplete data. In: Perspektivnye napravleniya razvitiya finishnykh i vibrovolnovykh tekhnologii: Cbornik trudov nauchnogo seminara, posvyashchennogo pamyati zasluzhennogo deyatelya nauki i tekhniki RF, doktora tekhnicheskikh nauk, pochetnogo professora DGTU A.P. Babicheva, 25 February 2022, Rostov-on-Don, Russia. Rostov-on-Don: Don State Technical University; 2022. pp. 225–231. (In Russ.).

4. Sinitsyn L.S., Aladin D.V. Platform for robot DSS based on hybrid intelligent system. In: MIVAR'24: Sbornik nauchnykh statei, 18–20 April 2024, Moscow, Russia. Moscow: INFRA-M; 2024. pp. 384–388. (In Russ.).

5. Makrushina V.A., Shapiev M.M., Gorbovtsova K.M., Zubairov V.A., Chernenkiy S.V. MES for assessing the criticality of information system vulnerabilities. In: MIVAR'22: Sbornik nauchnykh statei. Moscow: INFRA-M; 2022. pp. 75–81. (In Russ.).

6. Podoprigorova N.S., Kozyrev S.A., Podoprigorova S.S., Baldin A.V., Kotsenko A.A., Gong Sh. Development of a mivar expert system for selecting a consensus algorithm for distributed lists. Problems of Artificial Intelligence. 2024;(4):126–138. (In Russ.). https://doi.org/10.24412/2413-7383-2024-4-126-138

7. Mashchenko E.I., Karpov D.K., Varlamov O.O., Adamova L.E., Balenko E.G. Creation of a mivar expert system for understanding images and making decisions when people fall. Problems of Artificial Intelligence. 2024;(4):88–100. (In Russ.). https://doi.org/10.24412/2413-7383-2024-4-88-100

8. Andreev A., Kotsenko A., Varlamov O., Kim R., Goryachkin B. Text processing using LLM for automatic creation of agricultural crops knowledge bases. In: BIO Web of Conferences: International Scientific Conference on Biotechnology and Food Technology (BFT-2024), 03–06 September 2024, Saint Petersburg, Russia. EDP Sciences; 2024. https://doi.org/10.1051/bioconf/202413001029

9. Torzhkov M.S., Koroleva Yu.P., Baldin A.V., Kotsenko A.A., Shen Q. Creation of a mivar expert system for implementing ethical aspects of artificial intelligence for credit scoring. Problems of Artificial Intelligence. 2024;(4):139–150. (In Russ.). https://doi.org/10.24412/2413-7383-2024-4-139-150

10. Varlamov O.O., Zhang X., Baldin A.V., Myshenkov K.S., Sidorenko E.V. Development of a mivar expert system for planning shop resources and analysis of deviations. Modeling, Optimization ant Information Technology. 2024;12(3). (In Russ.). https://doi.org/10.26102/2310-6018/2024.46.3.017

11. Zvonarev A.E., Lychagin D.A., Guidilin D.S., Krotov Yu.N., Maslenikov K.Yu. MES for DBMS selection. In: MIVAR'23: Sbornik nauchnykh statei. Moscow: INFRA-M; 2023. pp. 117–122. (In Russ.).

12. Kotsenko A.A. Development of a method for creating a mivar decision-making system for planning robot routes in a three-dimensional logical space. Informaciya i obrazovanie: granicy kommunikacij. 2023;(15):301–304. (In Russ.).

13. Kotsenko A.A. Development of a method for automatic generation of mivar knowledge bases of a three-dimensional logical space. Informaciya i obrazovanie: granicy kommunikacij. 2023;(15):304–308. (In Russ.).

14. Chibirova M.O. Mivar approach expantion: classes and relations. Radio Industry. 2015;(3):44–54. (In Russ.).

15. Adamova L.E., Belousova A.I., Protopopova D.A., Eliseev D.V. Peterson A.O. An approach to creating intelligent questionanswering system "Mivar virtual consultant". Radio Industry. 2015;(3):160–171. (In Russ.).

16. Zhdanovich E.A., Antonov P.A., Hadiev A.M., Sergushin G.S., Chibirova M.O. Diagnosis on symptoms based on mivar approach. Radio Industry. 2015;(3):122–130. (In Russ.).

17. Zhdanovich E.A., Chernyshev P.K., Yufimychev K.A., Eliseev D.V., Chuvikov D.A. Random algorithm calculation of service robot functioning based on mivar approach. Radio Industry. 2015;(3):226–242. (In Russ.).

18. Zhdanovich E.A., Panferov A.A., Yufimychev K.A., Khadiev A.M., Eliseev D.V. Calculation random algorithms of functioning service robot based on mivar approach. Radio Industry. 2015;(3):243–254. (In Russ.).

19. Eliseev D.V., Sergushin G.S., Khadiev A.M., Chuvikov D.A. Algorithm development of mivar inference machine. I-Methods. 2016;8(2):43–51. (In Russ.).

20. Dyakonova S.S., Kudryavtsev S.D., Fedyukin D.A., et al. MES for choosing a strategy for optimizing business processes. In: MIVAR'23: Sbornik nauchnykh statei. Moscow: INFRA-M; 2023. pp. 79–86. (In Russ.).

21. Pinskaya N.M., Fonkants R.V., Safin R.R., Semkin P.S., Shkuratova L.P. MES for classification of speech defects. In: MIVAR'23: Sbornik nauchnykh statei. Moscow: INFRA-M; 2023. pp. 163–173. (In Russ.).

22. Mushkin O.V., Nikolaeva N.D., Trukhanov V.M. Research methods of automated calculation worm reducers and development CAD of worm reducer. Scientific Review. Technical Sciences. 2016;(3):72–74. (In Russ.).

Antonova Anastasiia Alekseevna

MIREA — Russian University of Technology

Moscow, Russian Federation

Varlamov Oleg OLEGOVICH
Doctor of Technical Sciences, Professor
Email: ovar@narod.ru

Scopus | ORCID | eLibrary |

Bauman Moscow State Technical University (BNSTU)
Kartsev Research Institute of Computing Complexes, Chief Researcher

Москва, Russian Federation

Keywords: mivar, gearboxes, production of gearboxes, mivar expert system, knowledge base, wi!Mi, MESD, razumator, big knowledge

For citation: Antonova A.A., Varlamov O.O. Mivar expert system for supporting personnel decision-making in the production of planetary gearboxes. Modeling, Optimization and Information Technology. 2025;13(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1842 DOI: 10.26102/2310-6018/2025.48.1.042 (In Russ).

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Full text in PDF

Received 19.03.2025

Revised 25.03.2025

Accepted 28.03.2025

Published 31.03.2025