SIMULATION MODELING OF TECHNOLOGICAL PROCESSES OF SUGAR BEET PRODUCTION

Автор(и)

  • M. P. Voloha ,

Анотація

The analysis of the ability of a comprehensive study of the technology of sugar beet production through the development and application of simulation models. Study of parameters of technological processes of production of sugar beet is proposed to carry out the method of agent-based simulation that allows to simulate the technological process at different levels of aggregation of the indicators based on a common methodological approach. Statistics simulation a set of parameter values and their subsequent processing by statistical methods allow to analyze relations between the values of the parameters. In the end, the simulation results are used for decision-making about the choice of the optimal variant from the set of the admissible taking into account the criterion that expresses the efficiency of TP. The purpose of simulation of technological processes of production of sugar beet is to increase their productivity through the definition and justification of optimum parameters. Research of technological processes based on simulation, in particular agent-based modeling as one of its types, allows you to define process variables, their relationships and interactions, to highlight the technical and economic indicators, to assess the impact on profitability, to determine directions of development and ways of improvement of technical and technological base of the industry sugar beet.

Посилання

Volokha, M. P. (2013). Modelyuvannya tekhnolohichnykh protsesiv pidhotovky gruntu i nasinnya do sivby tsukrovykh buryakiv [Modeling of technological processes of preparation of soil and seeds for planting sugar beet]. Design, production and operation of agricultural machinery. Kirovohrad: KNTU, Vyp. 43, ch. 1, 246–252.

Ladanyuk, A. P., Vlasenko, L. O., Zayets', N. A. (2016). Systemnyy analiz skladnoho ob"yekta v zadachakh diahnostyky ta koordynatsiya [Elektronnyy resurs] [System analysis of a complex object in the diagnostics and coordination]. Rezhym dostupu: http://dspace.nuft.edu.ua/jspui/bitstream/ 123456789/1076/1/ Sist_anTK.pdf.

Volokha, M., Boldyrieva, L. (2014). Simulation technology of sugar beet. Visnyk Natsional'noho aviatsiynoho universytetu. K. : NAU, T. 61, 4. Rezhym dostupu: http://jrnl.nau.edu.ua/index.php/visnik/article/view/7604/ 8730.

Royik, M. V., Volokha, M. P., Voytyuk, P. O., Fursa, A. V. (2000). Efektyvnist' mekhanizovanykh tekhnolohiy vyroshchuvannya ta zbyrannya tsukrovykh buryakiv [The efficiency of the mechanized technology of cultivation and harvesting of sugar beet]. Bulletin of agricultural science. K., 4, 43–46.

Sinchenko, V. M. (2012). Upravlinnya formuvannyam produktyvnosti tsukrovykh buryakiv : monohrafiya [Manage the productivity formation of sugar beet : monograph]. K.: TOV «Nilan-LTD», 582.

Bashkyrev, A. P., Semykyn, V. A. (2007). Sravnytel'naya otsenka эksperymental'noho y seryynoho vykapyvayushchykh rabochykh orhanov [Comparative evaluation of experimental and commercial workers digging up bodies]. Tractors and agricultural machines, 1, 40–41.

Kushnarev, A., Serbyy, E. S. Kushnarev, Sheychenko, V. (2008). Ispol'zovanye metodov matematycheskoho (ymytatsyonnoho) modelyrovanyya pry razrabotke konstruktyvnykh y tekhnolohycheskykh parametrov vysevayushcheho aparata [The use of methods of mathematical (simulation) modeling in the development of constructive and technological parameters of the sowing unit]. Technique AIC, 3–4, 11–15.

Bublyk, N. Y., Zuev, N. M. (1985). Kachestvo uborky v zavysymosty ot uslovyy y typa sveklouborochnykh mashyn [The quality of cleaning depending on conditions and the type of beet harvesting machines]. Sugar beet, 9, 5–7.

Nanaenko, A. K. (2002). Pryemy matematycheskoho opysanyya tekhnolohyy v rastenyevodstve [Methods of mathematical descriptions of the technologies in crop production]. Equipment in agriculture, 1, 11–14.

Karpov, Yu. H. (2006). Imytatsyonnoe modelyrovanye system. Vvedenye v modelyrovanye s AnyLogic 5 [Simulation systems. Introduction to modeling with AnyLogic 5]. S-Peterburh: BKhV-Peterburh, 20.

Wooldridge, M. J. (2001). Intelligent Agents // Multiagent Systems, 27–79.

Завантаження

Опубліковано

2016-12-28

Номер

Розділ

Статті