Parametric optimisation of food production taking into account time series characteristics

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Abstract

The article considers modeling of time series characteristics related to obtaining food products based on statistical methods. The analyzed characteristics of time series are divided into three groups by dynamicstochastic properties: 1) characteristics of time series described by significant multilevel trends with significant coefficients of regression expressions; 2) characteristics of time series with higher dispersion than the characteristics of the first group; 3) characteristics of time series that are random or have significant low autocorrelation coefficients, for example, climatic and ecological ones. The revealed statistical patterns of the characteristics considered are presented. An algorithm for stochastic optimization of the parametric problem of food production under conditions of the transition of values of the time series characteristics of the model into events is proposed.

About the authors

Margarita N. Barsukova

Irkutsk State Agrarian University named after A.A. Ezhevsky

Author for correspondence.
Email: margarita1982@bk.ru

Cand. Sci. (Tech.), Associate Professor

Russian Federation, build. 1/1, Molodezhny settlement, 664038, Irkutsk district, Irkutsk reg.

Yaroslav M. Ivan’o

Irkutsk State Agrarian University named after A.A. Ezhevsky

Email: iymex@rambler.ru

Dr. Sci. (Tech.), Professor

Russian Federation, build. 1/1, Molodezhny settlement, 664038, Irkutsk district, Irkutsk reg.

Il’ya A. Kovadlo

Irkutsk State Agrarian University named after A.A. Ezhevsky

Email: kovadlo95@gmail.com

pg.

Russian Federation, build. 1/1, Molodezhny settlement, 664038, Irkutsk district, Irkutsk reg.

Valentina V. Tsyrenzhapova

Irkutsk State Agrarian University named after A.A. Ezhevsky

Email: valyaigsha@mail.ru

pg.

Russian Federation, build. 1/1, Molodezhny settlement, 664038, Irkutsk district, Irkutsk reg.

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