name
Zhmurko Daniil Yuryevich
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Kuban State Agrarian University
ассистент
Research interests
материально-финансовые потоки, логистика
Web site url
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Current rating (overall rating of articles)
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TOP5 co-authors
Articles count: 27
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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METHOD OF OPTIMAL CHOICE OF LAND MANAGEMENT FOR INTEGRATED PRODUCTION SYSTEM OF SUGAR SUB COMPLEX
DescriptionThere were opened out some methods of optimal land management decision making. There was proposed a system of mathematic models on coming out of optimal forms of arable land usage. There was modeled a combinative method of land usage with regard of objects’ insurance and so on.
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Description
The analysis of activity of a sugar subcomplex has allowed to develop the specified schemes of re-structuring of the integrated industrial systems of the sugar subcomplex, the concept of interaction of objects of the integrated industrial systems of the sugar subcomplex, its information, monetary and material streams, and also to construct structure of the purposes and functions of a control system of the integrated industrial systems of the sugar subcomplex. The complex of mathematical models of costs estimation of using ground resources of the integrated industrial systems of the sugar subcomplex, the system of mathematical models of efficiency management of the integrated industrial systems of the sugar subcomplex and a quantitative technique of an estimation of activity of the integrated industrial systems of the sugar subcomplex are developed.
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Description
The article discusses the possible variants of solution of the problems accompanying the sustainable development of integrated segments of sugar sub-complex of agroindustrial complex adaptive management. It also describes the study of criteria and requirements they must meet
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PARADIGM IN THE PHILOSOPHY OF THE GENERAL THEORY OF CYCLES (CRISES)
DescriptionThe article considers the special role of paradigms in the study (writing) of the General theory of cycles. The authors ' task is systematization of knowledge in this area and obtain an objective assessment by means of retrospective material, which shows the change of one paradigm to another
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Description
With development of integration processes in agro- industrial complex there was an opportunity of decrease of a sugar sub complex dependence on import of raw materials and development of its own raw-material base. Ways of development of integrated industrial system of a sugar sub complex (IIS SS) of agro-industrial complex became certain. Three models of its development are presented. Necessity of integration in a sugar sub complex of agro- industrial complex was substantiated. Integration promotes decrease in costs under production and processing of sugar beets, causing that not only minimization of organizational costs, but also the necessity of introduction of innovative technologies by producers. In the IIS SS there is a necessity to create the selling service (marketing service, etc.) which promotes increase in its profit. Consolidation (merger) of industrial systems in a sugar sub complex should be a controlled process of FAS.
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Description
The article examines the concept and essence of adaptive management. The classification of adaptive management system (AMS). Is an example of adaptive management system with complex organi-zation for integrated segments of sugar subcomplex of agriculture
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THE PROPOSED AXIOMS OF THE GENERAL THEORY OF CYCLES
01.00.00 Physical-mathematical sciences
DescriptionIn this article, we consider the task of systematizing the axioms and postulates, directly or indirectly connected with the study of the cycles of varying length and nature, which constitute the absolute of the general theory of cycles
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Description
This article is devoted to the practical application of economic-mathematical methods (based on correlation analysis) to control the economic parameters of the integrated production systems sugar subcomplex (IPS SS) AIC oriented to meet the needs in the sugar production of the population not only of individuals, but also of the regions and the country as a whole. This article discusses and solves the following tasks: autocorrelation and partial autocorrelation functions, cross-correlation function (correlation matrix) study of deciduous macroeconomics series, with appropriate verification (test) Durbin - Watson. The study used Statistica, MS Excel and Xlstat add-in. The work describes experiments with various kinds of nonstationary time series of the agricultural sector and food industry sugar subcomplex, as well as the test results on the difficulty of communication between them. We have identified industry-high cycles. The article presents results of numerical experiments autocorrelation of the time series of sugar production, acreage, gross harvest and yield of sugar beet and sugar cane, by country. Systematically, we describe ideas and methods underlying the correlation analysis. We have given the evaluation of the results of correlation analysis on each type. Further, it can be assumed that the proposed techniques will greatly affect a key points when making recommendations for new models of production of sugar products, market-oriented – this will minimize the time and cost of the finished product that will make a more stable position in the sector for this integrated production system in relation to its competition
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THE USE OF CORRELATION ANALYSIS IN AIC SUGAR INDUSTRY (PART 2 – CROSSCORRELATE)
DescriptionThis article is devoted to the practical application of economic-mathematical methods (based on correlation analysis) to control the economic parameters of the integrated production systems sugar subcomplex (IPS SS) AIC oriented to meet the needs in the sugar production of the population not only of individuals, but also of the regions and the country as a whole. This article discusses and solves the following tasks: autocorrelation and partial autocorrelation functions, cross-correlation function (correlation matrix) study of deciduous macroeconomics series, with appropriate verification (test) Durbin - Watson. The study used Statistica, MS Excel and Xlstat add-in. The work describes experiments with various kinds of nonstationary time series of the agricultural sector and food industry sugar subcomplex, as well as the test results on the difficulty of communication between them. We have identified industry-high cycles. The article presents results of numerical experiments autocorrelation of the time series of sugar production, acreage, gross harvest and yield of sugar beet and sugar cane, by country. Systematically, we describe ideas and methods underlying the correlation analysis. We have given the evaluation of the results of correlation analysis on each type. Further, it can be assumed that the proposed techniques will greatly affect a key points when making recommendations for new models of production of sugar products, market-oriented – this will minimize the time and cost of the finished product that will make a more stable position in the sector for this integrated production system in relation to its competition
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Description
Improvement of consistency and effectiveness of strategic planning and forecasting in modern conditions requires the development of the existing classifications of types of planning, strategies, forecasts and forecast methods. This work examines the introduction to problems of spectral analysis of the macroeconomic dynamics of worldwide and Russian sugar subcomplex. The article is devoted to forecasting the activities of integrated manufacturing systems of sugar subcomplex in agro industrial subcomplex. The article deals with aspects of practical application of economic-mathematical methods (based on spectral analysis) to control the economic parameters of the integrated industrial systems of the sugar subcomplex, oriented to meet the needs of the sugar production of the people not only of separate regions, but also of the country as a whole. Procedures of identifying and research of periodic components of the dynamics of the development of the agriculture segment are based on methods of spectral analysis of random processes. The study describes the performed experiments with various kinds of non-stationary time series of agricultural sector and food industry sugar subcomplex. The article provides examples of the results of numerical experiments the spectra of time series of sugar production, sown areas, gross harvest and yield of sugar beet and sugar cane across countries, systematic ideas and methods underlying the spectral analysis. The estimation of obtained results is given in article. The author’s algorithm for the adaptive method of spectral analysis was implemented in the context of a specific software product, named MS Excel. The results of the empirical research confirmed the possibility of practical use of developed models in forecasting possible scenarios for the development of sugar subcomplex in the interests of integrated production systems. The results are illustrated by numerous graphs based on real data. The projections of latent structures of sugar subcomplex by macroregions are built. It is revealed that each of the macroeconomic time series can contain at least from 2 to 13 harmonics (cycles) of different kind and strength of impact on the trend