Vol 21, No 5 (2019)

Experimental research of the influence of the rolling and heat treatment routes of sheets from V-1461 alloy on the structure and mechanical properties are carried out. Experimental rolling routes were: hot rolling - preliminary heat treatment (annealing or quenching) - cold rolling - final annealing. Based on the studies, it was conducted that intermediate annealing before cold rolling positively affects the mechanical properties of both cold-rolled and annealed sheets of V-1461 alloy.

The article provides the rationale for the study guides “Reseach of models of microeconomic processes of enterprises based on linear programming methods” and “Decision support systems for optimizing enterprise management using linear programming methods”, recommended for in-depth study of the section of the course “Organization of Production and Innovative Activities” for undergraduate courses on 28.03. 02 and 03.03.03. The structure of practical exercises and laboratory work is described.

The article presents the results of the development and implementation of a set of additional tools that allow the study of current values of car quality indicators and their forecasting for future periods. The complex consists of several basic automated tools implemented in the form of program codes of the mathematical package MATHLAB, scripts of the EXCEL package and includes diagrams of quality loss of the automaker’s units; diagrams of a spectrum of defects of warranty operation. The developed set of additional quality monitoring tools has been tested and introduced into the practice of the corporate quality service of one of the largest car manufacturers in cars.

The article discusses the issues of standardization of information and analytical support of the galvanic coating process. The special processes quality rests largely on competent decision making, which in turn is based on standard methods and technologies. In practice, decision-making is often transferred to the performer level, who for one reason or another makes a mistake in the measurement results interpretation or in calculating the process reproducibility, in constructing value maps. Therefore, standardization is needed that would not allowed to make mistakes in decision-making tools.

The analysis of technical solutions and methods to ensure the reliability of existing production systems. The main shortcomings of production systems in modern multi-nomenclature production are revealed. The technical solutions of reconfigurable and reconfigurable working positions and ways of further development are analyzed. The necessity of researching the reliability issues of reconfigurable work positions to increase the efficiency of technological processes is shown.

The paper treats the issue of the preparation process for carrying out of high-precision measurements of the spacecraft under the low pressure. The measuring system and the necessary technological equipment are determined. The environmental parameters of the operating conditions of a high-precision measuring system are obtained and analyzed.

The paper is devoted to the problems of planning and monitoring of digital economy projects aimed at the development of information and computing infrastructure. Based on the analysis of current trends, a separate direction for the management of infrastructure projects is highlighted. In particular, a decision support system for assessing the prospects and investment attractiveness of innovative projects in modern conditions is proposed. The innovative nature of the implementation of projects in this case is determined by the stack of applied information technologies, from which key advantages are expected from the digital economy. From this point of view, the management of innovative projects of the digital economy boils down to stimulating digital platforms that provide emission of services and motivating projects with maximum infrastructural return. As a key indicator of the effectiveness of the development of IT infrastructure, an assessment of the infrastructural return is proposed, this allows risk assessment and prospects of issuing new services. The article proposes a methodology for calculating an infrastructural return in the framework of the implementation of digital economy projects. An example of the implementation of this methodology for planning and monitoring projects with infrastructural returns in practice for the National program “Internal costs for the development of the digital economy from all sources by share in the gross domestic product of the country” is given. As an example, the project of creating four Express-RV spacecraft in highly elliptical orbits in the model of infrastructure return has been considered. The research results can be used in the development of innovative management systems in digital social and economic systems.

The paper proposes a methodology for calculating the short-reinforced thermoplastic materials molding on elements of a topological optimization mesh, without the use of three-dimensional geometric models. The orientation of the reinforcing fibers on the mesh elements of the topological bracket optimization is calculated. The results of molding modeling on directly imported mesh are compared with the simulation results on the three-dimensional geometric models synthesized by the results of topological optimization. It is shown that the developed technique allows to significantly reduce the design calculation time for power structures molding. The presented methodology for calculating hydrodynamic problems on elements of topological optimization mesh is easily formalizable and can be implemented in batch mode based on API system interfaces, which makes it possible to solve the problems of hydrodynamics and determining the tensor of fiber orientation at internal iterations of the topological optimization cycle.

Approaches to the study of priority problems of long-term angular stabilization of information satellites and space robots with asymmetric elastic design in geostationary orbit are analyzed.

The article is devoted to the development of theoretical principles and practical recommendations on the formation and use of human knowledge in the process of risk management in the food industry. As a subject area on which these provisions are illustrated, bakery production is considered. Improving the efficiency of the use of human capital in the food production process is implemented on the basis of corporate knowledge management, which is accumulated and presented to users by an information-analytical decision support system. For this, object models of the decision-making support process in managing the quality of production of bread and bakery products have been developed. An integrated ontological model for supporting risk management decision-making at the bakery has been developed, which is based on the knowledge of experts, experience of previous periods, as well as information from technical documentation and standards. In the Protege 5.2 ontology editor, requests are generated in the form of rules that reflect causal relationships between certain classes of events that are the cause of problem situations. The developed decision support system involves supporting the production process at all critical points of occurrence of the probability of a risk, which will improve the accuracy of decisions and establish communication between employees.

The work explores the activities of an enterprise with weak dynamics in a crisis period. The high vulnerability of such enterprises due to the peculiarities of the production process is justified and the need to assess their crisis resistance is indicated. The paper proposes the use of the probability of successfully overcoming the crisis as a quantitative assessment of the crisis resistance of an enterprise with weak dynamics. This assessment is based on the application of the classical expert system. The knowledge base of this expert system is a set of predicate rules containing information about the crisis of 2008-10. The work uses predicate rules, which consist of two premises and one conclusion. The first premise is associated with an integral indicator of the non-dynamism of the enterprise, which is a quantitative assessment of the degree of its non-dynamism and reflects all the main aspects of its production and economic activity. The second premise determines the number of employees. The entire knowledge base is transformed into a fuzzy linguistic variable corresponding to the states of the input variables. It is assumed that each of the input variables can take three different values. Thus, any number of predicate rules will be equivalent to nine “averaged” rules. As a solver of the expert system, the well-known Mamdani algorithm was used, which allows one to determine the degree of truth of each premise of each rule, the cutoff level of each rule, and apply the cutoff levels to the membership functions of the variable output, using the summation operation to obtain the integral membership function of the variable output. This function will correspond to the set values of the input variables. Next, the transition to clarity is made on the basis of the integral membership function of the variable output. When bringing to clarity, the centroid method was used. The results obtained in this work can be used to forecast crisis resistance of enterprises with weak dynamics in order to develop a strategy for its improvement.