Bauman Moscow State Technical University
Author list of organization
List of articles written by the authors of the organization
-
ORGANIZATIONAL-ECONOMIC MODELING OF THE CONTROL PROBLEMS OF ECONOMIC UNITS
DescriptionThe 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
-
ORGANIZATIONAL-ECONOMIC SUPPORT OF INNOVATION
DescriptionIn 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
-
ORGANIZATIONAL-ECONOMIC SUPPORT OF INNOVATIONS IN THE ROCKET AND SPACE INDUSTRY
DescriptionWe 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
-
ORGANIZATIONAL AND ECONOMIC SUPPORT OF SPACE INDUSTRY
DescriptionWe 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
-
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
-
Description
The basic ideas of the developed by us solidary information economy are analyzed (the original name - the nonformal informational economy of the future). Its use as the base of modern organizational-economic theory in exchange for the term of “economics” is proved. The core of researches in the field of the NIEF is forecasting of development of the future society and its economy, working out of organizational-economic methods and models, necessary for the future and intended for increase of efficiency of managerial processes. The economy is a science how to make, instead of, how to divide profit. The basic kernel of the modern economic theory is an engineering economy. As the economic component of state ideology of Russia we offer solidary information economy. According to the solidary information economy the modern information technology and decision theory allow, based on the “open network society”, to build information and communication system designed to identify the needs of people and the organization of production in order to meet them. To implement this feature we must have political will of leadership of economic unit, aimed at transforming the management of this economic unit. In particular, as is already happening in all developed countries, the Russian state should become a major player in the economy
-
BASIC IDEAS OF INTERVAL DATA STATISTICS
01.00.00 Physical-mathematical sciences
DescriptionIn the article we have considered the basic idea of asymptotic mathematical statistics of interval data, in which the elements of a sample are not the numbers, but the intervals. Algorithms and conclusions of interval data statistics fundamentally different from the classical ones. The results related to the basic concepts of notna and rational sample sizes are listed. Interval data statistics as an integral part of the system of fuzzy interval mathematics is shown
-
MAIN PROBLEMS OF CONTROLLING OF THE QUALITY
DescriptionControlling of statistical methods to ensure product quality is the special case of controlling organizational and economic methods of management. Today, controlling in the practice of management of Russian companies is understood as "the system of information-analytical and methodological support to achieve their goals." The controller is developing a decision-making rules, the head takes decisions on the basis of these rules. We proved the concept of "controlling of methods". Innovation in management is based, in particular, on the use of new adequate organizational-economic (as well as economicmathematical and statistical) methods. Controlling in this area - is the development and application procedures of compliance management used and newly developed (implemented) organizationaleconomic methods for the task. Thus, the methodology for controlling is of great practical value in any field in which the actions (operations) must be carried out in accordance with certain rules (regulations, standards, guidelines), as in any such area in which we need to use development and application procedures of compliance management used and the newly established (implemented) rules for solution of tasks assigned to the organization. In this article, we select a area of controlling as controlling quality, and we discuss its main issues. This is about controlling of organizational-economic methods to ensure product quality, especially about the statistical methods based on probability theory and mathematical statistics. We consider the analysis and synthesis of plans of statistical quality control, optimization options plans of statistical control, truncated plans. Are discussed the differences control plans provider and the consumer, the allocation of units formless (liquid, gas) products, the selection of a random sample of the statistical quality control of products, lower estimate of the required sample size. It is established, that is not always necessary quality control. Is given the theory of the basic paradox of statistical quality control. We discuss the development of statistical methods for quality control in our country. Is given the classification of statistical methods of quality management
-
BASIC REQUIREMENTS FOR DATA ANALYSIS METHODS (ON THE EXAMPLE OF CLASSIFICATION TASKS)
08.00.13 Mathematical and instrumental methods of Economics
DescriptionThere is a need to clean up the classification methods. This will increase their role in solving applied problems, in particular, in the diagnosis of materials. For this, first of all, it is necessary to develop requirements that classification methods must satisfy. The initial formulation of such requirements is the main content of this work. Mathematical classification methods are considered as part of the applied statistics methods. The natural requirements to the considered methods of data analysis and the presentation of calculation results arising from the achievements and ideas accumulated by the national probabilistic and statistical scientific school are discussed. Concrete recommendations are given on a number of issues, as well as criticism of individual errors. In particular, data analysis methods must be invariant with respect to the permissible transformations of the scales in which the data are measured, i.e. methods should be adequate in the sense of measurement theory. The basis of a specific statistical method of data analysis is always one or another probabilistic model. It should be clearly described, its premises justified - either from theoretical considerations, or experimentally. Data processing methods intended for use in real-world problems should be investigated for stability with respect to the tolerances of the initial data and model premises. The accuracy of the solutions given by the method used should be indicated. When publishing the results of statistical analysis of real data, it is necessary to indicate their accuracy (confidence intervals). As an estimate of the predictive power of the classification algorithm, it is recommended to use predictive power instead of the proportion of correct forecasts. Mathematical research methods are divided into "exploratory analysis" and "evidence-based statistics." Specific requirements for data processing methods arise in connection with their "docking" during sequential execution. The article discusses limits of applicability of probabilistic-statistical methods. Concrete statements of classification problems and typical errors when applying various methods for solving them are also considered
-
MAIN FEATURES OF THE NEW PARADIGM OF MATHEMATICAL STATISTICS
01.00.00 Physical-mathematical sciences
DescriptionThe new paradigm of mathematical statistics is based on the transition from parametric to nonparametric statistical methods, the numerical data - to non-numeric, on the intensive use of information technology. Its distinctive features are revealed in comparison with the old paradigm of mathematical statistics in the mid-twentieth century