BUSINESS MODEL ON RICE IRRIGATION SYSTEMS TAKING INTO ACCOUNT STOCHASTIC FACTORS

Main Article Content

Татьяна Ивановна Сафронова http://orcid.org/0000-0002-2877-0985 Виктор Иванович Степанов http://orcid.org/0000-0002-8334-1251 Ирина Владимировна Соколова http://orcid.org/0000-0001-5041-7208

Abstract

Economic indicators and the state of natural resources form the basis of the set of factors of economic activity. Forecasting the development prospects of any enterprise is possible provided that full, reliable and objective information is available at all stages and about the conditions under which it is carried out. In modern conditions, it seems relevant to develop methodological issues of analysis of economic activities of enterprises in conditions of uncertainty due to climatic factors and stochastic nature of soil properties. The subject of the study is a methodology for modeling the activities of management structures on rice irrigation systems in conditions of uncertainty. The authors propose to characterize the mode of functioning of the rice irrigation system from a probabilistic point of view, to assess the consequences of anthropogenic load, considering operational measures by the Poisson flow of a certain intensity. This approach allows you to consider uncertainty in terms of probabilistic distributions. In these assumptions, an expression is obtained for the optimal volume of Qopt measures intended for execution. The results of research can be used by employees of the agro-industrial complex in making managerial decisions on the rice irrigation system.

Article Details

Section
Статьи

References

1. Safronova T.I., Lucenko E.V. Problema upravleniya kachestvom gruntovyh vod na risovyh orositel'nyh sistemah i koncepciya ee resheniya // Politematicheskij setevoj elektronnyj nauchnyj zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta. 2004. № 7. S. 52-60.
2. Safronova T.I., Lucenko E.V. Kognitivnaya strukturizaciya i formalizaciya zadachi upravleniya kachestvom gruntovyh vod na risovyh orositel'nyh sistemah // Politematicheskij setevoj elektronnyj nauchnyj zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta. 2004. № 7. S. 29-43.
3. Korch E.A., Mikenina P.S., Sokolova I.V. Matematicheskaya model' prognozirovaniya finansovogo sostoyaniya predpriyatiya. V sbornike: Studencheskie nauchnye raboty inzhenerno-zemleustroitel'nogo fakul'teta: sbornik statej po materialam studencheskoj nauchno-prakticheskoj konferencii. 2017. S. 63-67.
4. Safronova T.I., Sokolova I.V. O discipline «Matematicheskoe modelirovanie i proektirovanie» na agronomicheskom fakul'tete. V sbornike: Matematika v obrazovanii. sbornik statej. CHuvashskij gosudarstvennyj universitet imeni I.N. Ul'yanova; Mezhregional'naya obshchestvennaya organizaciya «ZHenshchiny v nauke i obrazovanii». CHeboksary, 2016. S. 88-92.
5. Safronova T.I, Sokolova I.V. O discipline «Matematicheskoe modelirovanie processov v komponentah prirody» na fakul'tete gidromelioracii // Mezhdunarodnyj zhurnal eksperimental'nogo obrazovaniya. 2018. № 3. S. 27-31.
6. Safronova T.I., Lucenko E.V. Sintez, optimizaciya i verifikaciya semanticheskoj informacionnoj modeli upravleniya kachestvom gruntovyh vod na risovyh orositel'nyh sistemah // Politematicheskij setevoj elektronnyj nauchnyj zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta. 2004. № 7. S. 44-51.
7. Trubilin, A. I. Agrarnaya ekonomika Rossii: problemy i vektory razvitiya: monografiya / A. I. Trubilin [i dr.]; nauch. Red. A. I. Trubilin. Krasnodar: Kub GAU, 2018. 342 s.
8. Efrosinin, D. Reliability analysis of an aging unit with a controllable repair facility activation [Text] / D. Efrosinin, M. Farkhadov, J. Sztrik, N. Stepanova // Springer proceedings in mathematics and statistics. – 2018. – Pp. 403–417.