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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MODERN VIEW ON THE SPACE-TIME CONTINUUM
01.00.00 Physical-mathematical sciences
DescriptionIn the article, the goal is a new way to consider some of the processes and phenomena occurring in the Universe and the world around us, to try and answer the question – what is actually a time? To give a contemporary, according to the author, the conceptual apparatus of the categories of space and time. Another goal of the work is to give hypotheses for further developments in the study of the laws of dialectics through existing-relational relations of space objects
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Description
This article examines the categories, principles, patterns, functions, and methods of adaptive management. Consideration of the fact that the adaptation is the model of behaviour of systems with complex organization in market conditions, and adaptive management - mechanism of realization of this model of behavior in real conditions. Comparison of adaptive management principles; a classification of principles, laws and methods of adaptive management
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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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Description
The article examines the categories, such as subject (subject-target) activities or border adaptive man-agement integrated segments of sugar subcomplex, peculiarities and specific features of adaptive man-agement peculiar only to them. The definition of benchmarking has been given, as well as we have proved the necessity of its making by complex adaptive systems of the sugar sector of the economy
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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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PROCESSES, CYCLES AND PHASES OF ADAPTIVE MANAGEMENT INTEGRATED SEGMENTS IN THE MARKET ECONOMY
DescriptionThe article reveals the concepts such as processes, cycles and phases (stages, levels) of adaptive man-agement. The stages of the management cycle of integrated segments of sugar subcomplex are pro-vided in the tables. We also provide a definition for systems with aggravation
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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
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
Objective: To improve the consistency and effectiveness of strategic planning and forecasting in modern conditions it requires development of the existing classifications of types of planning, strategies, forecasts and forecast methods. This study examines the introduction to problems of spectral analysis of the macroeconomic dynamics of key world and Russian sugar subcomplex. The article is devoted to forecasting the activities of integrated manufacturing systems of sugar subcomplex in agro industrial subcomplex. As well as to the 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 population not only of individuals, but of the regions and the country as a whole. Discussion: Procedures to identify and study the dynamics of periodic components of the development of the agriculture segment agriculture are based on methods of spectral analysis of random processes. The article describes the performed experiments with various kinds of non-stationary time series of agricultural sector and food industry sugar subcomplex. The article presents results of numerical experiments with the spectra of time series of sugar production, sown areas, gross harvest and yield of sugar beet and sugar cane country. Systematic ideas and methods underlying the spectral analysis were shown. The article also assesses the results. Results: The algorithm developed by the author for the adaptive method of spectral analysis was implemented by the author in the context of a specific software product, namely in MS Excel format. The results of the empirical research confirmed the possibility of practical use of developed models in forecasting likely scenarios for the development of sugar sub-complex in the interests of integrated production systems. The results are illustrated by numerous graphs based on real data. We have also built projection of latent structures of sugar subcomplex in the macroregions. It is revealed that each of the macroeconomic time series can contain at least from 2 to 9 harmonics (cycles) of different kind and strength of impact on the trend