Russian Federation
UDK 65.012 Методы
Scientific and technological progress leads to a continuous increase in the number and complexity of designed systems, as a result of which there is a need to create modern information and intelligent decision support systems. Such systems will make it possible to predict various scenarios of management decisions, which in turn helps to increase the efficiency and quality of the project. Effective use of automation in the search for management decisions can reduce the time spent on analysis, improve the quality of decisions made and increase the overall productivity and competitiveness of the organization. The purpose of this work is to substantiate the scientific approach to the issue of automated search for acceptable management solutions in technical systems. To describe management decisions, a concept is proposed that allows one to compactly depict the structure of complex hierarchical systems. Many solutions are described, and the problem of finding acceptable management solutions is formulated. A system for automated search for management decisions is described. An algorithm is presented for searching solutions that are feasible with respect to a certain condition from a set of possible ones, based on removing the vertices of the search tree that are invalid according to the specification. A description of the automation of building a model of many technical solutions is presented. Using a model to search for a set of acceptable management decisions allows you to more accurately predict various scenarios for the management decision made and helps to increase the efficiency and improve the quality of the project.
Management decision, complex technical system, automated search for solutions, algorithm for finding feasible solutions, design
1. Gruzinova, I.S. Upravlencheskoe reshenie i ego rol' v upravlencheskoy deyatel'nosti / I.S. Gruzinova, A.S. Soboleva // Aktual'nye issledovaniya. - 2021. - №52(79). - S. 45-48.
2. Obosnovanie kriteriya optimal'nosti / Ya.Ya. Eglit, D.G. Kuznecov, K.Ya. Eglite, E.V. Vinogradova // Vestnik gosudarstvennogo morskogo universiteta imeni admirala F.F. Ushakova. - 2022. - №4(41). - S. 63-65.
3. Rudenok, P.B. Razrabotka kriteriya optimal'nosti processa modernizacii proizvodstva / P.B. Rudenok // Dostizheniya nauki i obrazovaniya. - 2018. - T. 2, №7(29). - S. 32-34.
4. Ocenka ekonomicheskoy effektivnosti proektnyh resheniy avtomobil'nyh lesovoznyh dorog / D.E. Boltnev [i dr.] // Stroitel'nye i dorozhnye mashiny. - 2021. - № 5. - S. 49-53.
5. Mamleev, T.F. Model' prinyatiya resheniy po formirovaniyu sostava komplekta izmeritel'noy tehniki s uchetom neskol'kih kriteriev optimal'nosti / T.F. Mamleev, V.S. Soldatenko // Vestnik metrologa. - 2020. - №3. - S. 3-8.
6. Nikitin, D.M. Metody i modeli obosnovaniya upravlencheskih resheniy i sposoby povysheniya effektivnosti upravlencheskih resheniy / D.M. Nikitin // Tendencii razvitiya nauki i obrazovaniya. - 2019. - №57(7). - S. 50-54.
7. Semenov, N.A. Osnovnye principy sozdaniya sistem avtomatizacii proektirovaniya i upravleniya v mashinostroitel'nyh proizvodstvennyh sistemah / N.A. Semenov, G.B. Burdo // Programmnye produkty i sistemy. - 2019. - №1. -S. 134-140.
8. Informacionno-intellektual'naya sistema proektirovaniya lesotransportnyh setey / V.V. Nikitin [i dr.] // Avtomatizaciya. Sovremennye tehnologii. - 2022. - T. 76, № 4. - S. 185-188.
9. Avtomatizirovannoe proektirovanie prodol'nogo profilya lesovoznyh avtomobil'nyh dorog s uchetom vliyaniya zritel'no plavnyh i izlomannyh liniy / A.O. Borovlev [i dr.] // Avtomatizaciya. Sovremennye tehnologii. - 2021. - T. 75, № 10. - S. 450-453.
10. Velikanov, S.A. Osnovnye zakony razvitiya tehnicheskih sistem v sochetanii s prognozirovaniem razvitiya tehnicheskih sistem / S.A. Velikanov // Molodoy uchenyy. - 2018. - №21(207). - S. 26-34.
11. Bakirova, L.R. Software-technical complex for the development and maintenance of automatic control systems of technological processes / L.R. Bakirova, S.N. Huseynov // Black Sea Scientific Journal of Academic Research. - 2019. - T. 51, №8. - S. 4-9.
12. Lemeshkina, V.R. Derevo resheniy kak metod prinyatiya upravlencheskogo resheniya / V.R. Lemeshkina // Alleya nauki. - 2022. -T.1, №2(65). - S. 375-380.
13. Muntyan, E.R. Realizaciya nechetkoy modeli vzaimodeystviya ob'ektov slozhnyh tehnicheskih sistem na osnove grafov / E.R. Muntyan // Programmnye produkty i sistemy. - 2019. - №3. - S. 411-418.
14. Bochkov, A.P. Ocenka soglasovannosti i sovmestimosti tehnicheskih sistem v sostave slozhnyh organizacionno-tehnicheskih sistem / A.P. Bochkov, A.M. Baranovskiy, R.G. Gil'vanov // Sistemy upravleniya, svyazi i bezopasnosti. - 2020. - №1. - S. 284-301.
15. Palyuh, B.V. Realizaciya ekspertnoy sistemy dlya ocenki innovacionnosti tehnicheskih resheniy / B.V. Palyuh, V.K. Ivanov, I.V. Obrazcov // Programmnye produkty i sistemy. - 2019. - №4. - S. 696-707.
16. Pozin, B.A. Requirements traceability as the basis for designing a functional and logical architecture of a software system / B.A. Pozin, G.N. Tsiperman // Proceedings of the Institute for System Programming of the RAS. - 2022. - V. 34, №1. - P. 23-34.
17. Valeev, S.S. Analysis of business processes in a distributed organizational and technical system based on snapshots / S.S. Valeev, N.V. Kondratyeva // Computational Technologies. - 2023. - V. 28, №1. - S. 41-47.
18. Thumbakara, R.K. Subdivision graph, power and line graph of a soft graph / R.K. Thumbakara, B. George, J. Jose // Communications in Mathematics and Applications. - 2022. - T. 13, №1. - S. 75-85.
19. Povyshenie effektivnosti lesovoznyh avtomobil'nyh dorog / A.O. Borovlev [i dr.] // Sovremennye naukoemkie tehnologii. - 2021. - №4. - S. 9-13.
20. Popov, V.N. Postroenie informacionno-analiticheskogo kompleksa dlya raspredelennyh informacionno-telekommunikacionnyh sistem / V.N. Popov, A.B. Alykov, V.V. Pokasov // Vychislitel'nye tehnologii. - 2007. - T.12, №1. - S. 34-41.
21. Ickovich, E.L. Provedenie rabot po avtomatizacii proizvodstva: rol' inzhiniringa v avtomatizacii tehnologicheskogo proizvodstva / E.L. Ickovich // Avtomatizaciya v promyshlennosti. - 2017. - №8. - S. 3-7.
22. Sadrfaridpour, E. Engineering fast multilevel support vector machines / E. Sadrfaridpour, T. Razzaghi, I. Safro // Machine Learning. - 2019. - V. 108, №11. - P. 1879-1917.
23. Itskovich, E.L. Provedenie rabot po avtomatizacii proizvodstva: metod ob'ektivnogo vybora sistemy avtomatizacii dlya konkretnogo tehnologicheskogo agregata / E.L. Itskovich // Avtomatizaciya v promyshlennosti. - 2017. - №9. - S. 5-10.
