SYSTEM ANALYSIS AND MODELING OF QUEUE SYSTEMS
Cite as: A.A. Bognyukov, D.Yu. Zorkin, E .G. Shvedo. System analysis and modeling of queue systems // Izvestiya SFedU. Engineering Sciences – 2024. – N. 6. - P. 113-121. doi: 10.18522/2311-3103-2024-6-113-121
Abstract
This article focuses on automation systems used in car dealerships for the sale and repair of vehicles.
This requires consideration not only of existing processes but also their optimization using modern
technologies, which complicates the analysis of such systems. The implementation of such solutions can lead to the creation of more efficient models that reflect the real operating conditions of car dealerships.
Understanding the key concepts of automation helps not only to structure the research but also to identify
directions for further development. Studying existing models and systems allows for the identification of
best practices and potential shortcomings. Comparative analysis helps not only to adapt proven solutions
to new conditions but also to avoid mistakes made in previous studies. System analysis and modeling of
queuing systems represent key aspects in the management and optimization of business processes, including
such complex areas as automation of the sales and repair process of cars. In the modern world of high
technology, where competition in the market of goods and services is constantly growing, the use of system
analysis allows enterprises to find effective solutions to improve their operations. Queuing systems (hereinafter
referred to as QMS) are a central element in various sectors of the economy, including car dealerships
and service centers. They are aimed at optimizing customer flows and resources in order to improve
the quality of service and minimize waiting times. The main task of system analysis in this context is to
study the structure, behavior and interaction of system components in order to identify weaknesses and
find optimal strategies to overcome them. To automate the work of the car dealership, a subject area was
selected, including key elements: staff, customers, cars, services and contracts. These elements are interconnected
and form the basis for the projected database. Each of the elements has its own essence, and
their interaction through contracts becomes the basis for the development of a relational database.
References
avtosalona [Development of an information system for automating the activities of a car dealership],
Inzhenernyy vestnik Dona [Engineering Bulletin of the Don], 2022, No. 5 (89), pp. 223-230.
2. Arkhapcheva M.V., Tripkosh V.A., Akimov S.S. Infologicheskoe modelirovanie bazy dannykh dlya
organizatsii [Infological modeling of a database for an organization], Vyzovy sovremennosti i strategii
razvitiya obshchestva v usloviyakh novoy real'nosti [Challenges of our time and strategies for the development
of society in the context of a new reality], 2023, pp. 259-262.
3. Belyaeva I.A., Kozlovskiy V.N., Vasin S.A. Instrumenty modelirovaniya v obespechenii kachestva
novykh konstruktsiy avtomobiley v protsesse proektirovaniya [Modeling tools in ensuring the quality
of new car designs during the design process], Izvestiya Tul'skogo gosudarstvennogo universiteta.
Tekhnicheskie nauki [Bulletin of Tula State University. Technical sciences], 2024, No. 1, pp. 246-250.
4. Bibik Ya.N. Zhiznennyy tsikl prilozheniya baz dannykh [ife cycle of database applications],
Sb. nauchnykh trudov Donetskogo instituta zheleznodorozhnogo transporta [Collection of scientific
papers of the Donetsk Institute of Railway Transport], 2023, No. 70, pp. 24-30.
5. Ezhova G.P. Zadachi sistem avtomatizirovannogo proektirovaniya tekhnologicheskikh protsessov
obrabotki detaley GTD [Tasks of automated design systems for technological processes of processing
gas turbine engine parts], Innovatsionnye nauchnye issledovaniya v sovremennom mire: teoriya,
metodologiya, praktika [Innovative scientific research in the modern world: theory, methodology,
practice], 2023, pp. 96-100.
6. Ermakova E.I., P'yankova N.G. Matematicheskie metody v marketingovoy deyatel'nosti avtodilerov
[Mathematical methods in the marketing activities of car dealers], Matematicheskoe modelirovanie i
informatsionnye tekhnologii pri issledovanii yavleniy i protsessov v razlichnykh sferakh deyatel'nosti
[Mathematical modeling and information technology in the study of phenomena and processes in various
fields of activity], 2023, pp. 123-128.
7. Zagidullina E.G. Proektirovanie sistemy sbora dannykh [Design of a data collection system],
Innovatsionnye nauchnye issledovaniya 2023: estestvennye i tekhnicheskie nauki: Sb. materialov
XXVI-oy mezhdunarodnoy ochno-zaochnoy nauchno-prakticheskoy konferentsii, 19 aprelya, 2023 [Innovative
scientific research 2023: natural and technical sciences: Collection of materials of the XXVIth
international in-person and correspondence scientific and practical conference, April 19, 2023].
Moscow: Izd-vo NITS «Imperiya», 2023, pp. 58.
8. Ignat'eva V.M., Tarenko L.B. Bazy dannykh i ikh primenenie v sfere avtoservisa [Databases and their
application in the field of car service], Obshchestvo, gosudarstvo, lichnost': molodezhnoe
predprinimatel'stvo v povedencheskoy ekonomike [Society, state, personality: youth entrepreneurship
in behavioral economics], 2020, pp. 247-251.
9. Ishmaeva V.Z. Tekhnologii tsifrovoy transformatsii avtobiznesa [Technologies of digital transformation of
the auto business], Sovremennye podkhody k transformatsii kontseptsiy gosudarstvennogo regulirovaniya i
upravleniya v sotsial'no-ekonomicheskikh sistemakh [Modern approaches to the transformation of concepts
of state regulation and management in socio-economic systems], 2022, pp. 174-178.
10. Kirillov V.S., Kondrat'ev V.Yu. Primenenie sistemy Agile dlya proektirovaniya i razrabotki
informatsionnykh system [Application of the Agile system for the design and development of information
systems], TS75 TSifrovizatsiya ekonomiki: napravleniya, metody, instrumenty: sbornik
materialov V vserossiyskoy nauchno-prakticheskoy konferentsii [C75 Digitalization of the economy:
directions, methods, tools: collection of materials of the V all-Russian scientific and practical conference].
Krasnodar: KubGAU, 2023, pp. 404.
11. Kuznichenko M.A. Vybor SUBD v uchebnom protsesse podgotovki spetsialistov srednego zvena [Selection
of DBMS in the educational process of training mid-level specialists], Universitetskiy kompleks
kak regional'nyy tsentr obrazovaniya, nauki i kul'tury [University complex as a regional center of education,
science and culture], 2023, pp. 2401-2404.
12. Kurakin S.Z., Onufrey A.Yu., Razumov A.V. Issledovanie variantov postroeniya informatsionnoupravlyayushchikh
sistem na osnove setevykh modeley sistem massovogo obsluzhivaniya [Research
of options for constructing information and control systems based on network models of queuing systems],
Informatika i avtomatizatsiya [Computer Science and Automation], 2024, Vol. 23, No. 6,
pp. 1609-1642.
13. Novikova N.V. Zhiznennyy tsikl informatsionnoy sistemy bazy dannykh [Life cycle of the information
database system], Perspektivnye nauchnye issledovaniya: opyt, problemy i perspektivy razvitiya [Advanced
scientific research: experience, problems and development prospects], 2023, pp. 187-192.
14. Serik M.S., Kopyl'tsov A.V., Zhumagulova S.K. Tekhnologiya razrabotki prilozheniy s ispol'zovaniem
baz dannykh [Technology of developing applications using databases], Modelirovanie i situatsionnoe
upravlenie kachestvom slozhnykh system [Modeling and situational quality management of complex
systems], 2023, pp. 103-105.
15. Stukalo R.E., Safin M.A. Effektivnaya organizatsiya baz dannykh v promyshlennykh sistemakh [Efficient
organization of databases in industrial systems], Problemy sovremennoy nauki i obrazovaniya
[Problems of modern science and education], 2024, No. 1 (188), pp. 7-10.
16. Urmashev N.A., Saken G. Proektirovanie i realizatsiya Web-prilozheniya dlya avtomatizatsii
avtosalona [Design and implementation of a Web application for automating a car dealership],
Natsional'naya assotsiatsiya uchenykh [National Association of Scientists], 2022, No. 81, pp. 35-36.
17. Khoroshev E.V., Guseva V.V. Sozdanie bazy dannykh dlya avtosalona [Creation of a database for a car
dealership], Nauchnye perspektivy-2023 [Scientific prospects-2023], 2023, pp. 48-49.
18. Shapovalov A.A., Suvorova A.V. Evolyutsiya biznes-protsessov v rossiyskom avtoriteyle [Evolution of business
processes in Russian auto retail], Ekonomika [Economy], 2024, Vol. 14, No. 6, pp. 3117-3134.
19. Sharafieva N.Kh., Murzin S.Z. Informatsionnye sistemy i bazy dannykh: organizatsiya, khranenie i
upravlenie informatsiey [Information systems and databases: organization, storage and management of
information], Sovremennye tendentsii razvitiya nauki i mirovogo soobshchestva v epokhu tsifrovizatsii
[Modern trends in the development of science and the world community in the era of digitalization],
2023, pp. 150-154.
20. Shatalova Yu.G., Zhiglov Ya.V. Razrabotka sistemy replikatsii dlya raspredelennoy bazy dannykh
predpriyatiya [Development of a replication system for a distributed enterprise database], Simvol nauki
[Symbol of Science], 2019, Vol. 2, No. 3, pp. 137-141.
