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2018 | OriginalPaper | Buchkapitel

Management System for Agricultural Enterprise on the Basis of Its Economic State Forecasting

verfasst von : Igor Atamanyuk, Yuriy Kondratenko, Natalia Sirenko

Erschienen in: Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Verlag: Springer International Publishing

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Abstract

Management system (MS) for agricultural enterprise on the basis of its economic state forecasting was developed. MS allows to estimate the results of enterprise’s work in future under the realization of certain reorganization (change of land resources, labour resources, fixed assets). Calculating method for forecasting economic indices of agricultural enterprises on the basis of vector polynomial exponential algorithm for extrapolation of the realizations of random sequences is worked out. The model of prognosis allows to estimate the results of enterprise functioning (to estimate future gross profit, gross production) after its reorganization. Prognostic model does not impose any restrictions on the forecast random sequence (linearity, stationarity, Markov behavior, monotone, etc.) and thus allows fully to take into consideration stochastic peculiarities of functioning of agricultural enterprises. The simulation results confirm high efficiency of introduced calculating method. The scheme for reflecting the peculiarities of the forecast model functioning are also presented in the chapter. The method can be realized in the decision support systems for agricultural and non-agricultural enterprises with various sets of economic indices.

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Titel: Management System for Agricultural Enterprise on the Basis of Its Economic State Forecasting
verfasst von: Igor Atamanyuk
Yuriy Kondratenko
Natalia Sirenko
Verlag: Springer International Publishing
Buch: Complex Systems: Solutions and Challenges in Economics, Management and Engineering
Print ISBN: 978-3-319-69988-2

Electronic ISBN: 978-3-319-69989-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-69989-9_27

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