Simulation model of the system of maintenance and repair of electronic equipment
DOI: 10.34759/trd-2022-123-26
Аuthors
*, **, ***Air force academy named after professor N.E. Zhukovskii and Y.A. Gagarin, Voronezh, Russia
*e-mail: artem.artemov48@mail.ru
**e-mail: sidorchukvova@gmail.com
***e-mail: podrezovsn@mail.ru
Abstract
Simulation modeling is one of the most effective tools for studying complex systems today. Imitation is a kind of means of reproducing phenomena, just as a model is an abstract description of a system, object, phenomenon or process. That is, modeling is such an abstract form of reflection of reality, in which certain properties of the proposed objects are represented in the form of an image, a diagram, a plan, or a complex of equations, algorithms and programs. The use of simulation modeling in many fields of activity has a number of undeniable advantages. Firstly, it is an experimental method of cognition, which is a simple and visual tool for analysis. It helps to find optimal solutions to problems and gives a clear idea of complex systems. The advantages of this method are: simplicity, visibility, cheapness (compared to the experiment with recreating a real model), speed and convenience. The article provides a brief analysis of existing simulation models of complex systems in various environments. Due to the increased technical complexity of on-board equipment installed on aircraft, there is a problem in high-quality and timely maintenance and repair, therefore, when organizing these types of activities, it is necessary to take into account a large number of factors that can affect the timing and quality of work. To solve these problems, on the basis of generalized statistical information about failures, the AnyLogic system has developed a simulation model of the process of organizing, functioning and repairing blocks with all the external and internal conditions affecting it, which allows making a rational decision about choosing a repair site, assessing the workload of specialists when performing various types of work, as well as forming requirements for the rational composition and quantity of spare parts of aircraft products required for operational restoration of operability.
Keywords:
maintenance and repair system, simulation model, aviation equipment, AnyLogicReferences
-
GOST 18322 – 2016. Sistema tekhnicheskogo obsluzhivaniya i remonta tekhniki. Terminy i opredeleniya (State Standard 18322 – 2016. Maintenance and repair system of engineering. Terms and definitions), Moscow, Standartinform, 2011.
-
GOST RV 0101 – 001 – 2007. Ekspluatatsiya i remont izdelii voennoi tekhniki (State Standard GOST RV 0101 – 001 – 2007. Operation and repair of military products techniques), Moscow, Standartinform, 2011.
-
Maksimei I.V., Smorodin V.S, Demidenko O.M. Razrabotka imitatsionnykh modelei slozhnykh tekhnicheskikh system (Development of simulation models complex technical systems), Gomel', GGU im. F. Skoriny, 2014, 298 p.
-
Stepanov V.P., Safin A.M., Karpenko O.N., Trofimchuk M.V. Vozdushno-kosmicheskie sily. Teoriya i praktika, 2020, no. 16, pp. 238 – 245. URL: http://www.akademiya-vvs.rf/images/docs/vks/16-2020/238-245.pdf
-
GOST R 53863-2010. Vozdushnyi transport. Sistema tekhnicheskogo obsluzhivaniya i remonta aviatsionnoi tekhniki. Terminy i opredeleniya (State Standard R 53863-2010. Air transport. Maintenance and repair system of aviation equipment. Terms and definitions), Moscow, Standartinform, 2010.
-
Zheleznyakov A.O., Sidorchuk V.P. Konferentsiya «Grazhdanskaya aviatsiya na sovremennom etape razvitiya nauki, tekhniki i obshchestva»: sbornik tezisov dokladov, Moscow, ID Akademii Zhukovskogo, 2021, 600 p.
-
Boev V.D. Komp'yuternoe modelirovanie (Computer simulation), Saint Petersburg, Voennaya Akademiya Svyazi, 2014, 432 p.
-
Zheleznyakov A.O., Podrezov S.N., Sidorchuk V.P. Svidetel'stvo o gosudarstvennoi registratsii programmy dlya EVM № 2021662772, 04.08.2021.
-
Zheleznyakov A.O. Svidetel'stvo o gosudarstvennoi registratsii programmy dlya EVM № 202162811, 05.08.2021.
-
Ryzhikov Yu.I. Teoriya ocheredei i upravleniya zapasami (Queue theory and inventory management), Saint Petersburg, Piter, 2001, 384 p.
-
Zagrebaev A.M., Kritsyna N.A., Kulyabichev Yu.P., Shumilov Yu.Yu. Metody matematicheskogo programmirovaniya v zadachakh optimizatsii slozhnykh tekhnicheskikh system (Methods of mathematical programming in optimization problems of complex technical systems), Moscow, MIFI, 2007, 332 p.
-
Kormen T., Leizerson Ch., Rivest R., Shtain K. Algoritmy: postroenie i analiz. (Glava 16. Zhadnye algoritmy) (Algorithms: construction and analysis. (Chapter 16. Greedy algorithms)), Moscow, Vil'yams, 2005, 1296 p.
-
Sidorchuk V.P., Zheleznyakov A.O., Tsupriyan V.A. Problemy bezopasnosti poletov, 2021, no. 10, pp. 15-20. DOI: 10.36535/0235-5000-2021-10-3
-
Chepko I.N., Bogomolov D.V., Karpenko O.N. Trudy MAI, 2018, no. 103. URL: http://trudymai.ru/eng/published.php?ID=100823
-
Kabanov A.A. Trudy MAI, 2013, no. 65. URL: http://www.trudymai.ru/eng/published.php?ID=35910
-
Boev V.D., Kirik D.I., Sypchenko R.P. Komp'yuternoe modelirovanie (Computer simulation), Saint Petersburg, Voennaya Akademiya Svyazi, 2011, 348 p.
-
Badalov A.Yu., Razumov D.A. Trudy MAI, 2018, no. 100. URL: http://www.trudymai.ru/eng/published.php?ID=93491
-
Polenin V.I., Bondarenko I.V., Bassauer A.A. Trudy Pervoi vserossiiskoi nauchno-prakticheskoi konferentsii po imitatsionnomu modelirovaniyu i ego primeneniyu v voennoi sfere «Imitatsionnoe modelirovanie sistem voennogo naznacheniya, deistvii voisk i protsessov ikh obespecheniya» («IMSVN-2020»), Saint Petersburg, Izd-vo VA MTO – AO TsTSS, 2020, pp. 211–218.
-
GOST R 53393-2009. Integrirovannaya logisticheskaya podderzhka. Osnovnye polozheniya (State Standard R 53393-2009. Integrated logistic support. General principles), Moscow, Standartinform, 2010.
-
Venttsel' E.S. Ovcharov L.A. Teoriya sluchainykh protsessov i ee inzhenernye prilozheniya (Theory of random processes and its engineering applications), Moscow, Vysshaya shkola, 1998, 354 p.
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