name
Orlov Alexander Ivanovich
Scholastic degree
•
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•
Academic rank
professor
Honorary rank
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Organization, job position
• Bauman Moscow State Technical University
Research interests
статистические методы, организационно-экономическое моделирование. Разработал новую область прикладной статистики — статистику объектов нечисловой природы
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 155
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
In this article we substantiate the necessity of the development of controlling of organizational and economic methods, including forecasting tools, the development and management of decision-making, and others. Controlling service is central to the development and implementation of organizational and economic methods to achieve the goals set by management. However, quite often the controlling service has a different name, justified by the history of the organization. To resolve this paradox, we begin with a discussion of the content of the terms "controlling" and especially "Controlling organizational and economic methods". We discuss the role of "controlling service" in the management of organizations and enterprises, as well as territorial and municipal entities. As an example of the controlling instrument of organizational and economic methods is considered an automated system of forecasting and prevention of aviation accidents, the use in this system the expert technologies and quantitative risk estimation methods. We consider this system as a controlling tool in the management of safety, while customers and performers do not use the term "controlling" in the official documentation of this project. In accordance with the Presidential Decree of 21 August 2012 № 1199 one of the 11 integrated indicators of the executive power is the indicator "estimate the population of the executive authorities." Its use in controlling in the field of strategic management of regional and municipal entities was proposed to carry out on the basis of solidary information economy (the former name - the informal information economy of the future), developed by us from 2007. We give the basic ideas of solidary information economy. However, the term "controlling" is not always used in relation to this subject. The same applies to researches related to organizational and economic modeling of innovation and development of innovative systems
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ORGANIZATIONAL AND ECONOMIC SUPPORT OF SPACE INDUSTRY
Description
We have a number of studies on the problems of the development of organizational and economic support for control tasks in the aerospace industry, primarily in the field of project management development of rocket and space technology. This article aims at summing up the preliminary results of the research cycle. Since the core funding of space activities in Russia is carried out in accordance with approved government bodies targeted programs from the state budget, among the indicators of financial and economic activities of enterprises should focus not maximize profits, and decrease costs. We must estimate of the feasibility of projects in the field of space activities, primarily on the scientific and technical feasibility and the socio-economic needs, and resource provision. What is important is the analysis of all types of resources - material, production, human resources, time, and not just financial. As a basic organizational and economic theory we suggest the use of solidary information economy, high-tech management, controlling, developed on the basis of a new paradigm of mathematical methods of economics, especially econometrics, decision theory, organizational and economic modeling. In project management to create rocket and space technology should take into account the risks of their implementation. In estimation of the feasibility of such projects there should be an analysis of risk assessment, as well as the use of modern statistical and expert methods of forecasting the dynamics of technical and economic indicators project. As practice shows, we have to develop new organizational-economic and economicmathematical models and methods. It is necessary to build a knowledge base in the art and to adequately fill it with modern knowledge based on scientific data of the Russian index of citing. In connection with the duration of the projects of development of rocket and space technology, we note the need to take account of inflation in the planning and evaluation of the financial and economic activities of enterprises, organizations and industry as a whole
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ORGANIZATIONAL-ECONOMIC SUPPORT OF INNOVATIONS IN THE ROCKET AND SPACE INDUSTRY
Description
We discuss the reasons for the development of organizational-economic support (OES) in the rocket and space industry (RSI). We have also considered the problems of estimation of the effectiveness of innovation-investment projects and ECO project management to create the rocket and space technics. On the basis of the analysis of the state and prospects of development we have developed the proposals for OES of innovation in RSI
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ORGANIZATIONAL-ECONOMIC SUPPORT OF INNOVATION
Description
In the article we have analyzed the way of scientific and technical ideas creation to mass production. Particular attention is paid to the organization of commercialization of innovative projects using modern information technologies, especially Internet auctions. To adequately describe the actual processes, we have highlighted 13 stages in the development of the innovative project and put into consideration the diversity of its trajectories. We have also identified the need for specialized structures (innovation centers), providing organizational-economic support to innovative projects, especially in the organization of expert estimates, conducting market research, developing business plans
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ORGANIZATIONAL-ECONOMIC MODELING OF THE CONTROL PROBLEMS OF ECONOMIC UNITS
Description
The management was established in Bauman Mos-cow State Technical University. The core of the economic theory is engineering economics, above all - product lifecycle management, controlling and organizational-economic modelling. The article illustrates how economists and managers can help teams to achieve innovation
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ORGANIZATIONAL AND ECONOMIC MODELING IN SOLVING PROBLEMS OF CONTROLLING
Description
At the Department of "Economics and organization of production" at the end of XX - beginning of XXI centuries created the scientific school in the field of organizational and economic modeling, econometrics and statistics. The same name section of the department oversees the teaching of the relevant disciplines. The Laboratory of economic and mathematical methods in controlling of the Research and Education Center "Controlling and innovation in management" of Bauman Moscow State Technical University conducts research in this domain. This article is devoted to the activities of the scientific school, conducting research, and some of the results. We start with a discussion of the definitions of terms, which we use. Organizationaleconomic modeling - scientific, practical and academic discipline which devoted to the development, research and application of mathematical and statistical methods and models in economics and management of the national economy, especially in economics and management of industrial enterprises and their associations. The term "economic-mathematical methods and models" has close content. Statistical methods in economics - the subject of econometrics, the base of which is applied statistics. Organizational-economic modeling and econometrics are discussed as a theoretical and practical trainings and discipline. We developed textbooks and manuals on the organizational and economic modeling, econometrics and statistics. We have conducted theoretical research and development of applications in the field of organizational and economic modeling. In particular, the prediction is regarded as one of the management functions in industry. We study the problem of stability in the models and methods of development of strategy of the enterprise. For prospective organizational and economic mechanisms of management of industrial and economic activities, we proposed design based on solidary information economy
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ORGANIZATIONAL-ECONOMIC APPROACHS TO ESTIMATE THE FEASIBILITY OF INNOVATIVE-INVESTMENT PROJECTS
Description
In this article we propose a general theoretical model of estimation of the feasibility of an innovation-investment project. For specifying a general model to estimate the feasibility of a project we have highlighted the stages of development of projects in the aerospace industry. Organizational-economic approaches to estimation of the feasibility of projects to create rocket and space technology are presented in terms of algorithms. They take into account the specifics of the space industry, by virtue of which such projects have both innovative and investment components
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OPTIMAL PLAN OF INVENTORY CONTROL CANNOT BE FOUND BASED ON THE FORMULA OF THE SQUARE ROOT
01.00.00 Physical-mathematical sciences
Description
Inventory management (in other words, logistics) is an integral part of the work of firms, companies and organizations. We are talking about stocks of raw materials, fuel, tools, components, semi-finished products, finished products for industrial (or agricultural) firms, about stocks of goods to distribution centers, warehouses, shops, workplaces sellers, finally consumers. Stocks spent all the time and supplemented on various rules adopted in the firm. Optimization of these rules, ie, optimal inventory management, gives a big economic effect. The mathematical theory of inventory management, based on the models of movement of flows of goods, is an important area of economic-mathematical research. The classical model of inventory management proposed in 1915 by F. Harris is one of the simplest and most illustrative examples of application of the mathematical apparatus for decision-making in the economic field. This model is commonly referred to as the Wilson model, because this model became known after the publication of R.G. Wilson in 1934. The formula of the optimum batch size (the so-called "the formula of the square root"), obtained in the Wilson model, is widely used on various stages of production and distribution, since this formula is practically useful for decision-making in the inventory management, in particular, for generating significant economic effect. However, contrary to popular belief, by means of this formula it is impossible to calculate the optimal batch size (although it is a necessary step on the path of its finding). In strict economic-mathematical analysis of Wilson model, conducted in the article, it is shown that the formula of square root does not give the optimal batch size. We have given the algorithm for calculating the optimal batch size. It has been found that the formula of the square root gives asymptotically optimal plan. We have studied the stability of the conclusions in the economic-mathematical model and considered an example of the practical application of the classical model of inventory management
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THE DEVELOPMENT AND MANAGEMENT DECISION-MAKING
Description
The article is devoted to discussion of modern views on management decisions. We have released several bulk textbooks on the theory of decision-making. This article discusses several key aspects of this theory: a comparison of approaches to decisionmaking, the pitfalls of voting, and the methodology of decision-making, management responsibility. We have considered a simple example of a problem of decision-making in the management of the organization: selection a model of a new car to run into a series. Criteria for making a decision, which put forward by the four experts-theorists, contradicted each other. The Board of Directors decided to issue a vote. We have considered the "reefs" of voting. In the production and realization of administrative decisions we distinguish four levels. The first and most important level, which determine the success or failure of administrative activity is methodological. We discuss the levels of production and realization of administrative decisions. We give some examples where methodological errors lead to wrong management decisions. For example, a call to "maximum profit at the lowest cost" is quite common in the speeches and orders of a general nature. However, it is mistaken. Practice of development, adoption and implementation of solutions is based on a few basic concepts: Who makes the decisions? The procedure for preparation of the solution (the regulations). Objectives. Resources. The risks and uncertainties. Criteria for estimating decisions. The manager has his responsibility for the decisions taken. Volition of manager - the basis of management
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ABOUT THE DEVELOPMENT OF THE STATISTICS OF NONNUMERICAL OBJECTS
01.00.00 Physical-mathematical sciences
Description
About thirty-five years ago, the statistics of non-numerical objects was highlighted as an independent field of mathematical statistics. This article analyzes the basic ideas in this area, and relevant publications on the background of the development of applied statistics, and in connection with the system fuzzy interval mathematics
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