IMPROVING METHODOLOGY MAKING MANAGEMENT DECISIONS USING MATHEMATICAL MODELING THE ECONOMY OF SMALL AND MEDIUM ENTREPRENEURSHIP
Abstract
The article proves that for implementation of innovative direction development, a new methodology of scientific and applied research and forecasting based on mathematical modeling and experiment using computer information systems to support management decisions, synthesis of modern numerical methods and a computer is needed. The components of system state vector must be determined as average values over the data of a large number process implementations. Estimates the required indicators obtain statistical stability in presence a large number realizations and can be taken with sufficient accuracy for practice as approximation the values sought components of system state vector. The implementation trading process is influenced by a large number of factors, but typical them are: competition, seasonality, state legislative framework, purchasing power of citizens, average wages, level of technology and technology. All this increases the need for a multifactorial analysis performance results and development of measures for increasing efficiency of small trading enterprise. At first stage modeling, using factor analysis, the main factors are identified; at second stage, on e basis of correlation analysis, it was proved that influence of factors on profit is significant and all main factors are used to build a regression model. At third stage of study, a regression model change in profit from the main factors was built, and it was proved that it has a sufficiently high level of accuracy and adequacy. The executed profit forecast allows us to make a number competent management decisions that contribute to an increase in profit a trading enterprise and ensure competitiveness in modern conditions. Use of mathematical modeling methods and adoption on their basis of informed decisions on management enterprise activities can be considered an important specific advantage of small and medium-sized businesses, since development and implementation a new system management technologies will allow efficiency of functioning entrepreneurial structures and ensure implementation a cost-oriented and oriented approach in business management.
References
Марасанов В.В., Пляшкевич О.М. Основи теорії проектування і оптимізації макроекономічних систем. Херсон : Айлант, 2002. 190 с.
Вітлінський В.В. Моделювання економіки : навчальний посібник. Київ : КНЕУ, 2003. 408 с.
Ивахненко А.Г. Индуктивный метод самоорганизации моделей сложных систем. Киев : Наук. думка, 1982. 216 с.
Кузубов М.В., Єдинак О.М.. Моделювання економічних і еколого-економічних процесів. Київ : КСУ, 2010. 170 с.
Стеценко І.В. Моделювання систем. Черкаси, 2010. 399 с.
Лобода О.М., Кириченко Н.В. Актуальні проблеми ідентифікації та моделювання структури управління підприємством. Наука й економіка. 2015. № 3. С. 130–134.
Лобода О.М. Вирішення задачі ідентифікації структури управління підприємством. Сучасна спеціальна техніка. 2012. № 3. С. 64–68.
Лобода О.М., Димов В.С. Моделі та методи інформаційних технологій управління аграрним сектором економіки за допомогою достатніх умов оптимальності. Проблеми інформаційних технології. 2018. Вип. 01(023), С. 104–110.
Soft Decoding Method for Turbo-Productive Codes / А. Kuznetsov et al. International Conference on Advanced Information and Communications Technologies (AICT). 2–6 July 2019. URL: https://ieeexplore.ieee.org/abstract/document/8847747 (дата звернення: 25.01.2021).
Marasanov V.V., Pliashkevych O.M. (2002) Osnovy teorii proektuvannia i optymizatsii makroekonomichnykh system [Foundations the theory design and optimization of macroeconomic systems]. Kherson: Ajlant. (in Ukrainian)
Vitlinskyj V.V. (2003) Modeliuvannia ekonomiky [Economic modeling]. Kyiv: KNEU. (in Ukrainian)
Yvaxnenko A.G. (1982) Ynduktyvnyj metod samoorganyzacyy modelej slozhnyx system [Inductive method self-organization of complex systems models]. Kyiv: Naukova dumka. (in Ukrainian)
Kuzubov M.V., Yedynak O.M. (2010) Modelyuvannya ekonomichnyx i ekologo-ekonomichnyx procesiv [Modeling economic and environmental-economic processes]. Kyiv: KSU. (in Ukrainian)
Stecenko I.V. (2010) Modeljuvannja system [System modeling] Cherkasy. (in Ukrainian)
Loboda O.M., Kyrychenko N.V. (2015) Aktualni problemy identyfikatsii ta modeliuvannia struktury upravlinnia pidpryiemstvom [Current problems of identification and modeling of enterprise management structure]. Nauka y ekonomika, vol. 3, pp. 130-134.
Loboda O.M. (2012) Vyrishennja zadachi identyfikaciji struktury upravlinnja pidpryjemstva [Solving the problem of identifying the management structure of the enterprise]. Suchasna spetsialna tekhnika, vol. 3, pp.64-68.
Loboda O.M., Dymov V.S. (2018) Modeli ta metody informacijnykh tekhnologhij upravlinnja aghrarnogho sektoru ekonomiky za dopomoghoju dostatnikh umov optymaljnosti [Models and methods of information technology management of the agricultural sector of the economy with sufficient optimality conditions]. Problemy informatsiinykh tekhnolohii, vol. 01(023), pp. 104–110.
Kuznetsov А., Kiian А., Babenko V., Smirnov O, Zhosan G., Prokopovych-Tkachenko D. (2019) Decoding Method for Turbo-Productive Codes [Decoding Method for Turbo-Productive Codes. International Conference on Advanced Information and Communications Technologies (AICT) (lviv, 2-6 July, 2019). Available at: https://ieeexplore.ieee.org/abstract/document/8847747 (accessed 25 January 2021).