Journal articles on the topic 'Industrial efficiency – Mathematical methods'
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1
Alieva, N. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 4 (66) (2021): 29–32. http://dx.doi.org/10.12958/1817-3772-2021-4(66)-29-32.
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Modern scientific research in the field of agriculture is increasingly based on various mathematical calculations. In practice, it is the economic and mathematical models that are of particular importance. These methods and approaches are particularly valuable and widespread in the production environment, but in the modern conditions of production and economic activity, more and more industrial economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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Havrylenko, Mykola, Vira Shiyko, Liliana Horal, Inesa Khvostina, and Natalia Yashcheritsyna. "Economic and mathematical modeling of industrial enterprise business model financial efficiency estimation." E3S Web of Conferences 166 (2020): 13025. http://dx.doi.org/10.1051/e3sconf/202016613025.
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The article proposes two methods for evaluating the financial efficiency of a business model of industrial enterprises. In order to evaluate the financial efficiency of the business model of an industrial enterprise, a system of single indicators for assessing the financial condition of the enterprise by such components as financial stability, liquidity and solvency, business activity and profitability was formed. Fishburne’s rule weights the major components of an integral measure of an enterprise’s business model financial performance. In addition, an integral measure of the financial performance of the business model is modeled using the fuzzy set method and taxonomic analysis, which will help to evaluate the financial performance level of the business model more objectively. The comparative analysis of the obtained results by different methods of calculation of integral indicators is carried out.
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Lokhman, Natalia, Tatiana Beridze, Zoya Baranik, Alla Cherep, Iryna Dashko, and Oxana Hamova. "ECONOMIC AND MATHEMATICAL MODELING OF THE FUNCTIONING OF AN INDUSTRIAL ENTERPRISE." Financial and credit activity problems of theory and practice 2, no. 43 (April 29, 2022): 182–91. http://dx.doi.org/10.55643/fcaptp.2.43.2022.3642.
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The purpose of the article is to model the activities of an industrial enterprise as an independent economic unit in order to increase the profit of the enterprise in terms of economic efficiency.Method. In the course of the research the methodology of economic-mathematical modeling was applied. The enterprise is considered as a complex system — a sublimated enterprise, an economic object. The use of simulation methods on specific statistical material of the industrial enterprise «PivdGOK» is given. The application of the methods of digital economy allowed to obtain the relevant indicators of the enterprise and to obtain appropriate visual and graphical representations of the results.Results. The economic and mathematical model of the industrial enterprise of PJSC «PivdGOK» is constructed, it allowed to generalize results of activity of the industrial enterprise. Analytical relations concerning the activity of an industrial enterprise are obtained, namely a systematic study of the relationship between costs, volume of activity and profit of the enterprise.Scientific novelty. For the first time the economic-mathematical model of activity of the industrial enterprise in the sense of definition of its effective functioning as economic unit is constructed. Obtained in the implicit form of the dependence of profit at a given economic efficiency allowed us to investigate this relationship in order to build a simulation model.Practical significance. The use of Mathcad software allowed to building a simulation model of the industrial enterprise. An analytical expression of the connection between economic efficiency and profit is obtained, which allows to carry out a corresponding analysis of the activity of an industrial enterprise. It is shown under what conditions it is possible to achieve the greatest profit at a given economic efficiency. The use of digital modeling allowed to numerically obtain the optimal values of profit and graphically display the results. Graphical representation of the obtained results allows for visual analysis.
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Aliyeva, Nailya Rauf kyzy. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 2 (64) (2021): 118–22. http://dx.doi.org/10.12958/1817-3772-2021-2(64)-118-122.
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Modern scientific research in the agro-industrial sphere is increasingly based on various mathematical calculations. In practice, it is economic and mathematical models that are of particular importance. These methods and approaches have gained particular value and distribution in the production environment, but in modern conditions of production and economic activity, more and more sectoral economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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Mnatsakanyan, Maria, Tetiana Danilova, Mykola Nazarenko, and Valentyna Kuzmych. "Transport network formation of the industrial center on the basis of simulation methods." Avtoshliakhovyk Ukrayiny, no. 1 (253) ’ 2018 (March 26, 2018): 25–29. http://dx.doi.org/10.33868/0365-8392-2018-1-253-25-29.
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The problem of creating a new system for managing the process of functioning of the sitylogical system of an industrial center in real time is considered. The analysis of the development of existing architectural forms of LEDMF is made and their main characteristics are identified. The necessity of forming rational traffic routes based on the simulation model as a way of increasing the efficiency of managing process functioning sitylogical system of the industrial center in real time Keywords: sitylogical system, linear elements of districts of municipal formations (LEDMF), mathematical model, cyclic transport frame.
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Demareva, Elena E. "KEY PERFORMANCE INDICATORS OF INDUSTRIAL SAFETY OF ENTERPRISES." Krasnoyarsk Science 11, no. 3 (October 30, 2022): 7–16. http://dx.doi.org/10.12731/2070-7568-2022-11-3-7-16.
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This article discusses the issues of assessing the level of industrial safety of enterprises in terms of the efficiency of industrial enterprises, requiring an increase in production efficiency, ensuring the efficiency of products and services by mastering the ways of effective production management, the achievements of scientific and technological progress.
Purpose: The article discusses key performance indicators as methods of industrial safety of an enterprise and a tool for analyzing and evaluating the level of a company’s performance.
Method, methodology of the work: The article used theoretical materials, economic and mathematical methods, statistical methods of analysis.
Results: The most informative parameters were obtained, showing some aspects of the analysis of key performance indicators of industrial enterprises.
Scope of the results: The results obtained can be successfully applied in different areas of the economy for different economic entities, it is possible to use both for young firms and for organizations with sufficient experience.
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Kononchuk, Viktor Viktorovich. "USING METHODS OF ECONOMIC AND MATHEMATICAL MODELING IN INCREASING THE EFFICIENCY OF THE REGIONAL AGRO-INDUSTRIAL COMPLEX." Экономика сельского хозяйства России, no. 3 (March 1, 2022): 88–93. http://dx.doi.org/10.32651/223-88.
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Klíma, J., and M. Palát. "Labour productivity as a factor forming the economic efficiency and competitive ability of the country." Agricultural Economics (Zemědělská ekonomika) 49, No. 11 (March 2, 2012): 515–19. http://dx.doi.org/10.17221/5440-agricecon.
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The paper is focused on the evaluation of labour productivity in industry as a whole and in the selected branches in the Czech Republic in 1997–2001. The labour productivity index for employees is the ratio of industrial production indices and indices of the number of employees. Methods of regression and correlation analysis and development trends were applied for the mathematical-statistical analysis.
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Petrenko, Yuri, and Ruslan Posukan. "CRITERIA AND MODEL OF CHOICE OF INDUSTRIAL ROBOT." Bulletin of Kharkov National Automobile and Highway University 1, no. 92 (January 17, 2021): 109. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.0.109.
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Problem. The relevance of the work is to increase the efficiency of robotics in Ukraine based on the development of computer technology for the selection of industrial robots for the enterprise, which will improve the quality of robot selection and increase productivity in all industries. Goal. Substantiate the criteria and develop the mathematical model for the selection of an industrial robot. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. Methodology. This work gives the analysis of the development of robotics in Ukraine, theoretical material on industrial robots, substantiated the criteria for the selection of industrial robots, the developed mathematical model for the selection of robots. Results. The developed criteria and mathematical model of an industrial robot selection allow making scientifically substantiated decisions on the acquisition of an industrial robot by an enterprise according to many criteria. This will reduce the time and cost of making a decision. Originality. Was received further development of making decision methods according to many criteria an was developed the mathematical model of the industrial robot selection. Practical value. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. This will reduce spent time and money to choose a robot.
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Gaponenko, S. O., A. E. Kondratiev, and R. Z. Shakurova. "Improving the efficiency of energy complexes and heat supply systems using mathematical modeling methods at the operational stage." E3S Web of Conferences 124 (2019): 05029. http://dx.doi.org/10.1051/e3sconf/201912405029.
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Improving the efficiency and energy saving of energy complexes and heat supply systems is one the most important fields of the Russian economy modernization. In the field of industrial heat and power engineering, the increasing energy efficiency is an urgent task both at the design stage and at the equipment operation stage. For these purposes, numerical modeling methods are actively used. The paper presents the developed mathematical model of the pipeline located in the soil, which allows improving efficiency of energy systems and heat supply systems at the stage of operation. Also this paper presents the results of laboratory studies, namely, the informative frequency ranges of the investigated pipeline for further assessment of its technical condition.
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Moroz, Deniz, Nadzeya Hruntovich, Aliaksei Kapanski, Yauhen Shenets, Mikhail Malashanka, and Elena Gracheva. "Using models of energy consumption from influencing factors to assess the current state and energy efficiency forecasting." E3S Web of Conferences 220 (2020): 01024. http://dx.doi.org/10.1051/e3sconf/202022001024.
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A complex of tasks that can be solved using mathematical models of the dependence of consumed energy resources on influencing factors are considered in the article. The main type of model for industrial consumers with a simple relationship between energy and technology, is the one-factor model “consumed energy resource-volume of output”. For industrial consumers with a complex relationship between energy and technology, the mathematical model of the dependence of energy resources on technology is determined by several factors. Methods for assessing the current state of energy efficiency, as well as predicting it for the future in the context of the introduction of energy saving measures and changes in the production program were proposed.
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Zhang, Chundong. "Establishment of Mathematical Model of Different Burr Removal Methods for Automobile Valve Body Parts." Journal of Physics: Conference Series 2437, no. 1 (January 1, 2023): 012079. http://dx.doi.org/10.1088/1742-6596/2437/1/012079.
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Abstract In the process of auto body parts processing, machining surface at the junction will produce burrs or flares. The existence of burr will have a bad effect on the machining accuracy, assembly accuracy and appearance quality of parts. In industrial production, the cost of removing these burrs is enormous. In automotive parts, the cost of deburring body parts can account for machining costs15% - 20%. Industry practice has shown that the actual cost of deburring systems increases as the complexity and accuracy of parts increase. Precision parts such as automobile valve body require high precision, and burr is usually removed by grinding. In grinding process, different types of burr will adopt different grinding process to purify, frequent adjustment process will affect the production efficiency, so the combination with the characteristics of grinding, the grinding grain edge radius, equivalent negative rake Angle and other factors into consideration, burr types can be divided into three categories, respectively on the three types of burr mathematical modeling, The removal mechanism of different kinds of burr is explained theoretically, which lays a theoretical foundation for improving efficiency in production practice.
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Orazbayev, B., I. Issa, S. Iskakova, and L. Kurmangaziyeva. "Application of mathematical modelling methods in oil production management." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 4 (August 30, 2022): 112–16. http://dx.doi.org/10.33271/nvngu/2022-4/112.
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Purpose. To assess the effectiveness of the practical application of mathematical modelling methods of the operation principles of oil production management systems in a fuzzy environment and the main aspects of their application in oil production. Methodology. The basis of the methodological approach in this study is a combination of methods of quantitative and qualitative analysis of the basic principles of the development of mathematical models for managing oil production processes in a fuzzy environment. Findings. The authors investigated the available methods of mathematical modeling in order to select the optimal possibilities for creating mathematical models. A qualitative assessment of the effectiveness of the practical application of methods of mathematical modeling of the principles of operation of oil production management systems in a fuzzy environment was formulated. The main aspects of application of methods of mathematical modeling directly in the process of oil production were established. Originality. A fuzzy approach is proposed for solving the problem of multi-criteria optimization in the development of a field and oil production, in which the task is set and solved in a fuzzy environment without previously converting them to equivalent clear tasks. This ensures the correctness and efficiency of the solution by increasing the adequacy of the description of the problem in a fuzzy environment. Practical value. The results obtained and the conclusions formulated on their basis are of considerable practical importance for employees of research institutes of the oil industry responsible for the development of effective methods of mathematical modelling of oil production process control systems and for employees of oil companies whose professional duties include the introduction of the mentioned mathematical models in oil fields.
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Antonets, Anatoliy. "Use of interactive technologies of learning during the formation of mathematical competence of future industries of industrial machines." Academic Notes Series Pedagogical Science 1, no. 189 (August 2020): 90–94. http://dx.doi.org/10.36550/2415-7988-2020-1-189-90-94.
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For future specialists in the field of mechanical engineering, mathematical competence is the basis for training. Based on previous research, we have proposed a future engineers mathematical competence formation model. It relies on the appropriate psychological and pedagogical mathematical competence formation conditions. An important place among these conditions takes the innovative teaching methods using, which include interactive technologies. The advantage of interactive learning methods is the high efficiency in the learning process and acquiring appropriate skills. This will make future engineers to think critically and consciously find ways of a variety of engineering problems solving. The purpose of the article is to find out the specifics of using an interactive learning technologies in the process of the mathematical competence of future specialists of the engineering industry formation in the study of physical and mathematical disciplines. The article presents a didactic model of using an interactive teaching methods in the process of studying particular topics of physical and mathematical disciplines. This didactic model is given for the subjects «Higher Mathematics», «Probability Theory and Mathematical Statistics», «Applied Mathematics», «Mathematical Programming», «Fundamentals of Mathematical Modeling» and «Physics». The proposed model of interactive learning methods implementation is based on the gradual, step-by-step, logical using of interactive learning methods from the simplest to the most complex. This technology includes: an interactive learning methods implementation in traditional forms of training of engineers; using a wide range of methods of active learning in a educational process; a comfortable learning conditions organization in which all students actively interact with each other; targeted development of an online learning methods for selected topics. The content and types of interactive learning are described and examples of using these methods in the system of forming mathematical competence of engineers are given. The use of interactive technologies contributes to the development of students' critical thinking skills and cognitive interests. Interactive learning methods allows to: involve the whole group in active work; learn to reason a thoughts logically; to develop the ability to make common decisions; to improve the level of understanding the core of modeling of technological processes and systems; raise the level of mathematical knowledge, skills and abilities usage.
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Kudria, Yaroslav, and Ryszard Pukala. "Methods of managing the return on investment in the development of enterprises." Socio-Economic Problems of the Modern Period of Ukraine, no. 2(136) (2019): 79–81. http://dx.doi.org/10.36818/2071-4653-2019-2-14.
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The notion of the term the minimum allowable return on investment in the development of an industrial enterprise was defined in the article; the methods of estimation and regulation of the level of profitability investment in the development of the enterprise were offered and the main features of conduct were revealed in the article. The authors note that the simultaneous increase of growth indices of production and material efficiency continues operating cycle, but its duration is relatively less than with the increase of only the total amount of investments invested in the enterprise earlier, and it proves the efficiency of production scale growth. The paper provides for various options of the use of the suggested model that shows the mathematical dependence between the rate of increase in output and the level of current enterprise expenditures.
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Tkachenko, Tetiana, Kateryna Kozak, Hanna Sytnyk, Iryna Vysochyn, and Olga Andrus. "Methodological support of the efficiency diagnosis of the economic security system of industrial enterprises in competitive environment." LAPLAGE EM REVISTA 7, no. 3B (September 23, 2021): 460–69. http://dx.doi.org/10.24115/s2446-6220202173b1572p.460-469.
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The article proposes a classification of methodological approaches to the diagnosis of the economic security of enterprises according to the principles of consistency and strategic levels of government. The authors formalize the methods at the general, structural, factorial and unit levels. The general methods include indicator, functional-resource and economic-mathematical. Structural methods are distinguished by the direction of the economic security system, which allow to formalize corporate, motivational, financial and investment-profitable approaches. The factor group of methods is also formalized, in which the diagnostics of innovative influence, competitive status, market threats and normative-legal influence is distinguished. The largest group include methods of unit diagnostics, among which are methods of analysis of bankruptcy, personnel and intellectual, technical and technological, social, environmental, information and other components.
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Kanashayev, D. Ye, G. B. Sakhanova, and A. Ye Yesbolova. "Mathematical methods for evaluating innovative activity at carpet industry enterprises." Bulletin of "Turan" University, no. 3 (October 11, 2022): 235–47. http://dx.doi.org/10.46914/1562-2959-2022-1-3-235-247.
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The article examines the rationale and mathematical methods for assessing the innovative activities of carpet manufacturers in order to determine the impact on the economic efficiency of the enterprise. Along with the legislative framework of digitalization of the Republic of Kazakhstan, the article highlights the current state of digitalization in the country. The article also provides financial and operational indicators of the country’s largest carpet manufacturing enterprise. In particular, the author examines the main indicators of the company from the opening of production to the present. The effectiveness of digitalization of carpet production plays an important role in the technological development of the regional spatial-industrial structure, so the production of carpets and carpet products using digital technology has a positive impact on the economy. The article also considers the advantages and disadvantages of the main types of economic and mathematical forecasting. The article offers a regression analysis of economic indicators, as well as conducting a mathematical model analysis between the indicators of the study. In the course of the study, the extrapolation of increasing series of the main indicators of the carpet manufacturing company, as well as the forecasting by trend analysis method were considered. The main indicators of the largest carpet manufacturer in the country were analyzed by extrapolation. As a result, the authors recommended an analysis of the relationship between the selected indicators. The article recommends conducting an analysis to assess the level of reliability of the proposed model after conducting a regression analysis. In this case, the reliability of the model is tested with the regression coefficient, and on the basis of the proposed method, the coefficient of determination is estimated within the 95% reliability level. On the basis of the offered method there is a possibility of forecasting of the main indicators of the carpet and carpet goods production enterprise.
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Aleshkin, N. A., A. A. Petrushevskaya, and I. R. Karpova. "METHODS OF IMPROVING EFFICIENCY OF PRODUCTION PROCESS OF ELECTRONICS MANUFACTURING USING DESIGN FOR MANUFACTURING CONCEPT." Issues of radio electronics, no. 1 (January 20, 2019): 51–56. http://dx.doi.org/10.21778/2218-5453-2019-1-51-56.
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The article discusses the possibility applying the principles of the concept of industry 4.0 in the electronics manufacture with the introduction of Design for Manufacturing concept in an environment of computer mathematics MatLab with the efficiency increasing aim of the production process. Technological processes can be described in the form of mathematical models built with the use of Markov chains. On the basis of the developed model, the results effectiveness confirming with the use of graphs in the management technological operations are obtained. According to the launch results of each industrial batch, in deviation case from the specified limits, the non-conformity assessment will be carried out and corrective measures will be taken for the non-compliance. The method proposed in the article will make it possible to effectively use the resources available to the enterprise, excluding both the loss of continuity and control production process stability of electronics manufacturing, and the quality characteristics abnormal loss of the manufactured product.
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Medvedeva, N. A. "Psychological Prevention of Industrial Injuries." Occupational Safety in Industry, no. 1 (January 2021): 73–78. http://dx.doi.org/10.24000/0409-2961-2021-1-73-78.
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The psychological analysis for the problem of the human factor of industrial injuries is presented in the article. The urgency of considering the problem of industrial injuries from a psychological point of view is substantiated. The characteristics of the factors influencing the efficiency of production activities are given. The results are presented concerning the empirical study conducted at the petrochemical enterprise with the employees in the production of monomers using an assessment of the ergonomic working conditions and causes of injuries, psychodiagnostic techniques. The reliability of the study results was achieved by using the methods of mathematical statistics (correlation analysis by Brave-Pearson and Vard methods). The specificity of the manifestation of psychophysiological characteristics of the employee in the morning, day and night shifts is specified. The possibility is provided to predict the risks of human errors in non-standard situations at the level of psychological diagnostics. The possibilities of using psychological measures in the prevention of injuries at the stage of occupational selection are described. The results of study demonstrate the possibility of reducing injury rate by differentiating employees based on the psychophysiological indicators and determining the optimal working time. Conclusions are formulated regarding the influence of psychological factors on the efficiency and safety of the work activity. It is advisable to consider the psychophysiological characteristics of the employees in professional selection, determination of the shift work schedule and admission to occupational activity. The need is defined related to studying the causes and factors of injury rate from the standpoint of analyzing critical periods of time that require special attention and control from the medical and psychological services of the enterprises and departments of occupational and industrial safety.
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Golovko, V. M., M. Ya Ostroverkhov, M. A. Kovalenko, I. Ya Kovalenko, and D. V. Tsyplenkov. "Mathematical simulation of autonomous wind electric installation with magnetoelectric generator." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (October 30, 2022): 74–79. http://dx.doi.org/10.33271/nvngu/2022-5/074.
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Purpose. Development of a mathematical model of an autonomous wind power plant based on an end-generator with a double stator and combined excitation to evaluate methods for improving the efficiency of conversion of mechanical wind energy into electricity. Methodology. The research used methods of general theory of wind power plants, methods of mathematical modeling, which are based on the numerical solution of nonlinear differential equations to evaluate methods for correcting the output power in Matlab-Simulink by modifying standard units. Findings. A numerical simulation mathematical model of an autonomous wind power plant consisting of a magnetoelectric generator with an axial magnetic flux with combined excitation and a double stator has been developed. The model was created to study the parameters and characteristics of the installation, as well as to evaluate methods and means to improve the efficiency of conversion of wind energy into electricity. According to the research, it is established that a more effective method for regulating the output power of the generator in the wind turbine is the use of additional winding for magnetization, compared with the use of additional capacity. The latter provides up to 716% increase in output power, while using the magnetizing winding can increase the output power to 3235%. The results obtained by the authors allow further developing a number of methods to increase the efficiency of conversion of mechanical energy of the wind turbine rotor into electrical energy. Originality. The mathematical model developed for the first time, in contrast to the existing ones, takes into account the presence of a double stator, an additional winding for magnetization of the magnetic system and the axial nature of the circuit of the main and additional magnetic flux. The developed model also takes into account the change in the parameters of the electric generator with axial magnetic flux when changing the parameters of the wind, the rotor of the wind turbine and the load. The model is designed to analyze the possibility of adjusting the output power of the generator when the wind speed changes. Practical value. The simulation results indicate the prospects of industrial implementation of wind power plant based on magnetoelectric generator for their use as autonomous electrical installations and as part of shunting power systems.
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Bogdanova, Leyla M., Sergey Ya Nagibin, Dmitry I. Loskutov, and Natalia A. Goncharova. "Neuro-fuzzy-based mathematical model of dispatching of an industrial railway junction." Bulletin of Electrical Engineering and Informatics 12, no. 1 (February 1, 2023): 502–13. http://dx.doi.org/10.11591/eei.v12i1.4055.
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In any transport system, especially at industrial railway junctions, it is fundamentally important to build an effective timetable (traffic schedule) to regulate traffic flows. The task is complicated by the high dimensionality of the railway network of the node, the large number of variable parameters associated with scheduling the use of a traction resource (locomotives) during operation for sorting wagons and transporting payloads (ore, fuel, finished products and empty wagons). The problem is that most plotting problems are NP-hard, i.e. the algorithms for solving them, used to automate the process, may require an unacceptably long execution time by traditional methods of solving this problem (sequential, using reference information; method of thread laying). The article deals with the issues of building a mathematical model for dispatching an industrial railway junction to minimize the time of using locomotives in order to increase the efficiency of its operation. The mathematical model uses the technique of neuro-fuzzy computing to determine the parameters for identifying fuzzy systems and calculating the priorities of operations in the framework of creating a flexible schedule for the decision support system of the dispatching service. The results of modeling and recommendations on the use of the developed methodology are presented.
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Varde, Aparna S., Shuhui Ma, Mohammed Maniruzzaman, David C. Brown, Elke A. Rundensteiner, and Richard D. SissonJR. "Comparing mathematical and heuristic approaches for scientific data analysis." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 22, no. 1 (December 12, 2007): 53–69. http://dx.doi.org/10.1017/s0890060408000048.
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AbstractScientific data is often analyzed in the context of domain-specific problems, for example, failure diagnostics, predictive analysis, and computational estimation. These problems can be solved using approaches such as mathematical models or heuristic methods. In this paper we compare a heuristic approach based on mining stored data with a mathematical approach based on applying state-of-the-art formulae to solve an estimation problem. The goal is to estimate results of scientific experiments given their input conditions. We present a comparative study based on sample space, time complexity, and data storage with respect to a real application in materials science. Performance evaluation with real materials science data is also presented, taking into account accuracy and efficiency. We find that both approaches have their pros and cons in computational estimation. Similar arguments can be applied to other scientific problems such as failure diagnostics and predictive analysis. In the estimation problem in this paper, heuristic methods outperform mathematical models.
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Mureșan, Vlad, Mihaela-Ligia Ungureșan, Mihail Abrudean, Honoriu Vălean, Iulia Clitan, Roxana Motorga, Emilian Ceuca, and Marius Fișcă. "AI versus Classic Methods in Modelling Isotopic Separation Processes: Efficiency Comparison." Mathematics 9, no. 23 (November 30, 2021): 3088. http://dx.doi.org/10.3390/math9233088.
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In the paper, the comparison between the efficiency of using artificial intelligence methods and the efficiency of using classical methods in modelling the industrial processes is made, considering as a case study the separation process of the 18O isotope. Firstly, the behavior of the considered isotopic separation process is learned using neural networks. The comparison between the efficiency of these methods is highlighted by the simulations of the process model, using the mentioned modelling techniques. In this context, the final part of the paper presents the proposed model being simulated in different scenarios that can occur in practice, thus resulting in some interesting interpretations and conclusions. The paper proves the feasibility of using artificial intelligence methods for industrial processes modeling; the obtained models being intended for use in designing automatic control systems.
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Shashikhina, Olga E., and Tamara B. Chistyakova. "COMPUTER SYSTEM FOR OPTIMAL PLANNING OF POLYMER PRODUCTIONS." Bulletin of the Saint Petersburg State Institute of Technology (Technical University) 59 (2021): 94–100. http://dx.doi.org/10.36807/1998-9849-2021-59-85-94-100.
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The development of a specialized computer system for optimal planning of production activities of large-scale multi-assortment polymer enterprises and corporations is described. The system is designed to form the optimal placement of orders for equipment within the planning interval. The computer system includes a module for representing knowledge about the scheduled object, a database of orders, production lines, types and recipes of polymer materials, a base of equipment reconfiguration rules, mathematical models of various optimization methods, including a problem-oriented genetic algorithm, and a solution visualization module. During the development, methods of mathematical modeling, methods of designing databases and knowledge bases, as well as technologies for creating automated information systems were used. The proposed computer system improves the efficiency of the scheduling process for industrial polymer production
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Zolina, Tatyana, and Pavel Sadchikov. "Optimization of Design Parameters for Materials Consumption for Reinforcing Metal Framework of Industrial Buildings." Applied Mechanics and Materials 875 (January 2018): 122–27. http://dx.doi.org/10.4028/www.scientific.net/amm.875.122.
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This study investigated optimum design methods for frame buildings with focus on minimization of economic costs. The methods discussed are intended to provide sufficient reserves for reliability of load-bearing steel structures. The analyzed mathematical models enable to assess seismic resistance of a structure and implement optimum design methods according to the selected key criterion. The available mathematical models assessing economic efficiency of metalwork reinforcement need further development. The model based on the principle of balanced risk is considered as the most appropriate for the study of structural reliability for industrial buildings. This model allows to assess the expected damage as compared with the initial spending on seismic protection. The focus is on setting and implementation of the task whose limiting condition provides equality between expenditures for reinforcement of damaged steel structures and those for damage prevention activities. Minimum of economic costs for construction or reconstruction of a structure is taken as the optimality criterion. This takes into account accumulation of damages within the standard life cycle and changes in stiffness of materials. Assessment of damage risk is based on the life cycle of a structure, its seismic resistance class and spending on damage repair. The study suggests a number of structural solutions that enable to reduce deformation of steel parts of the frame.
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Biryulin, Vladimir, Daria Kudelina, Alexey Pykhtin, Alexey Borodin, Alexey Bulgakov, and Klaus Holschemacher. "Model of fuzzy inference for energy efficiency evaluation at industrial enterprises." Journal of Physics: Conference Series 2388, no. 1 (December 1, 2022): 012157. http://dx.doi.org/10.1088/1742-6596/2388/1/012157.
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Abstract At the moment, with the developing industrialization of society, as well as the growing demand and consumption of all types of end products, industry is increasing the use of energy resources to create capacities corresponding to the current time. The main industrial source of energy in the 21st century is electricity. In industries and enterprises, electricity is used in large amount, and that is why the main and urgent task to reduce the cost, increase the competitive ability of the organization and the growth of its microeconomics is the ability to reduce electricity consumption, and not by reducing production lines, but due to the correct and modern technology of its use. To solve this problem, many factors, which are expressed in quantitative and qualitative data, should be taken into consideration. But it is complicated by the fact that most often these data groups have incompleteness and uncertainty of the used information. This may be due to outdated equipment, lack of necessary technological equipment, or simply a human factor. In this regard, there is a not objective and not quite correct model and assessment of electricity usage by the enterprise. To get out of this situation with the benefit of industry, it is possible to use the mathematical apparatus of fuzzy logic. The results obtained using this method can be considered objective. Based on reasonable estimates of the impact of various factors on energy consumption and energy efficiency of the enterprise system, it is possible to develop methods for its improvement, increasing energy efficiency, reducing waste, which leads to an increase in the competitiveness of the enterprise by reducing the cost of the final product and reducing the cost for the consumer.
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Protopopov, E. V., V. V. Chislavlev, M. V. Temlyantsev, and A. V. Golovatenko. "Increasing efficiency of rail steel refining in CCM tundish based on rational organization of hydrodynamic processes." Izvestiya. Ferrous Metallurgy 63, no. 5 (July 1, 2020): 298–304. http://dx.doi.org/10.17073/0368-0797-2020-5-298-304.
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Quality and operational properties of rails determine duration of their operational service. The main parameters that determine quality of steel are chemical heterogeneity and presence of non-metallic inclusions in metal. Efficiency of homogenization of metal melt and its refining from non-metallic inclusions in tundish is largely determined by organization of hydrodynamic processes, internal geometry of ladle, and presence of additional refractory elements. Using physical and mathematical modeling, study of the influence of additional refractory elements of various configurations of intermediate ladle on processes of melt flow was carried out. Physical modeling of hydrodynamic processes in the tundish taking into account requirements of similarity theory was made on specially created laboratory-experimental complex. Numerical experiments were carried out using computational fluid dynamics methods (finite volumes) on three-dimensional turbulent mathematical model with a singlephase representation of metal melt flow in tundish. To evaluate efficiency of melt homogenization according to results of physical and mathematical modeling, new technique has been developed based on analysis of distribution of time of liquid placement in continuous flow reactor. According to the results of experiments, configuration of the internal volume of tundish of four-strand CCM is proposed. A construction is considered that provides effective homogenization of molten rail steel and its refining from non-metallic inclusions. The design of full-profile compartments was developed and tested under industrial conditions, which ensure rational organization of melt flows, its homogenization and efficient refining of rail steel from non-metallic inclusions in the tundish. Industrial research was carried out under the conditions of four-strand CCM No. 1 of EAF shop at JSC “EVRAZ ZSMK”.
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Korennaya, K. A., A. V. Hollay, and O. V. Loginovsky. "FUNDAMENTALS OF EFFECTIVE MANAGEMENT OF INDUSTRIAL ENTERPRISES IN MODERN CONDITIONS." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 3 (August 2021): 161–70. http://dx.doi.org/10.14529/ctcr210316.
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Today, the problem of increasing the efficiency of large Russian industrial enterprises is one of the most important national economic problems of the domestic economy. Purpose of the study. In this regard, the purpose of the study of this work is to improve the processes of prepa¬ring and mak-ing managerial decisions on the strategic and operational management of industrial enterprises of our country in the current conditions of global instability and increasing international competition. Materials and methods. The scientific provisions presented in the article are an integral set of measures that ensure the implementation of both strategic and operational management algorithms for industrial enterprises. At the same time, the methods of mathematical modeling and financial and economic analytics were used. Results. The results of the study are: a well-founded set of scien-tific provisions on the strategic management of industrial enterprises, as well as a predictive and adaptive approach to the operational management of production companies in the conditions of both stable development of the world economy and international financial and economic crises. On the basis of the developed sets of scientific provisions, sets of mathematical models for the stra-tegic management of industrial enterprises and their operational management are formed. Conclu-sion. The scientific provisions and materials presented in this article enable the heads of industrial enterprises to form holistic and comprehensively justified strategies for their long-term development, as well as algorithms for operational management of industrial divisions of enterprises during peri-ods of global instability.
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Kochańska, Joanna, Anna Burduk, Marcin Markowski, Alicja Kłusek, and Monika Wojciechowska. "Improvement of Factory Transport Efficiency with Use of WiFi-Based Technique for Monitoring Industrial Vehicles." Sustainability 15, no. 2 (January 6, 2023): 1113. http://dx.doi.org/10.3390/su15021113.
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The in-factory transport influences production rate and quality, so it is characterized by the shortest displacement time and maximum utilization of available means of transport, accompanied by their lowest operating wear. In the paper, an improvement of factory transport management is suggested, employing the traffic analysis methods of industrial vehicles. The efficiency of internal logistics was analyzed with the use of the WiFi-based technique for monitoring industrial vehicles. In the research, the in-building location system Optimatik BI was used and implemented in a company manufacturing PVC profiles for the market of building materials and interior equipment. Stopping times of forklift trucks, their routes and covered distances were estimated. On this ground, factors of their effective use were calculated. Further, it was possible to analyze the traffic of the forklift trucks and to generate heat maps that, in turn, made it possible to identify problems and develop a suitable improvement plan. A mathematical model that allows for efficiency optimization by determining the best number of employees handling the transport was developed for one of the analyzed logistics tasks.
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YATSUN, S. F., O. G. LOKTIONOVA, A. V. MALCHIKOV, and A. S. YATSUN. "INVESTIGATION OF LIFTING A LOAD USING AN INDUSTRIAL EXOSKELETON." Fundamental and Applied Problems of Engineering and Technology 6 (2020): 121–30. http://dx.doi.org/10.33979/2073-7408-2020-344-6-121-130.
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The work is devoted to the urgent task of studying the features of functioning and assessing the effectiveness of using an industrial exoskeleton for the tasks of lifting, holding and storing cargo. A feature of the study is the use of an original method based on the interpolation of experimentally obtained data and their use in mathematical modeling of the behavior of the system. The proposed method and evaluation criteria make it possible to determine the operator's labor costs and the efficiency of using an exoskeleton, including those equipped with gravitational compensators in the hip joint. In this work, the time dependences of the torques in the hinges of the exoskeleton for various methods of performing the exercise and various parameters of assisting influences were obtained. The proposed toolkit can find application in the design and assessment of the effectiveness of exoskeletons of industrial anthropomorphic structures.
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Rabbani, Masoud, Neda Manavizadeh, and Niloofar Sadat Hosseini Aghozi. "Robust optimization approach to production system with failure in rework and breakdown under uncertainty: evolutionary methods." Assembly Automation 35, no. 1 (February 2, 2015): 81–93. http://dx.doi.org/10.1108/aa-05-2014-038.
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Purpose – This paper aims to consider a multi-site production planning problem with failure in rework and breakdown subject to demand uncertainty. Design/methodology/approach – In this new mathematical model, at first, a feasible range for production time is found, and then the model is rewritten considering the demand uncertainty and robust optimization techniques. Here, three evolutionary methods are presented: robust particle swarm optimization, robust genetic algorithm (RGA) and robust simulated annealing with the ability of handling uncertainties. Firstly, the proposed mathematical model is validated by solving a problem in the LINGO environment. Afterwards, to compare and find the efficiency of the proposed evolutionary methods, some large-size test problems are solved. Findings – The results show that the proposed models can prepare a promising approach to fulfill an efficient production planning in multi-site production planning. Results obtained by comparing the three proposed algorithms demonstrate that the presented RGA has better and more efficient solutions. Originality/value – Considering the robust optimization approach to production system with failure in rework and breakdown under uncertainty.
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M., Vаsylenko,, Buslаiev, D., Kаlinin, O., and Kononogov, Yu. "Substantiation effectiveness of local strengthening cultivator paws using wear-resistant material." Mehanization and electrification of agricultural, no. 9(108) (2019): 164–70. http://dx.doi.org/10.37204/0131-2189-2019-9-20.
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Purpose. Reducing the cost of technological operations for tillage due to increased resource cultivator paws. Methods. Monographic, mathematical-statistical, economic-mathematical, graphic-analytical. Results. The methodical approach to determining the economic efficiency of local hardening of cultivator paws using wear-resistant powder material with the aim of increasing the resource is substantiated. The limits of increasing the resource of cultivator paws KPE-410 and the maximum value of the cost of its hardening for the effective functioning of industrial enterprises are substantiated. Conclusions. The effectiveness of local hardening of the cultivator paw KPE-410 using wear-resistant powder material is achieved under the condition that the resource of the hardened cultivator paw is more than 18.7% of the serial sample. Provided that the resource of the strengthened cultivar's paw is 37% of the serial, in order to ensure efficiency, the cost price of hardening of one cultivar's foot KPE-410 should not exceed 112.5 UAH. It was established that with the cost of hardening of the cultivar leg Sz = 53.77 UAH and its resource 55 hectares, the economic efficiency is 109%. Keywords: efficiency, local strengthening, resource, working bodies of tillage machines, cost of hardening.
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Harja, Maria, Gabriela Ciobanu, Tatjána Juzsakova, and Igor Cretescu. "New Approaches in Modeling and Simulation of CO2 Absorption Reactor by Activated Potassium Carbonate Solution." Processes 7, no. 2 (February 4, 2019): 78. http://dx.doi.org/10.3390/pr7020078.
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The increase of CO2 concentration in the atmosphere is in strong relation with the human-induced warming up due to industrial processes, transportation, etc. In order to reduce the CO2 content, end of pipe post-combustion methods can be used in addition to other methods and techniques. The CO2 capture by absorption in potassium carbonate–bicarbonate activated solutions remains a viable method. In this study, a mathematical model for a packed bed reactor has been developed and tested. The mathematical model is tested for an industrial reactor based on CO2 absorption in Carsol solutions. The proposed model was validated by resolving for CO2 and water content, carbonate–bicarbonate, concentrations etc. For each operational parameter the error was calculated. The error for CO2 concentration is up to 4%. The height of the packed reactor is calculated as function of CO2 concentration in the final gas phase. The validated model can also be used for absorbing other CO2 streams taking into account the fact that its efficiency was proved in industrial scale. Future reactors used for CO2 absorption should consist of two parts in order to use partially regenerated solutions in the first part, with significant energy savings in the operational costs.
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Siahchehre Kholerdi, Somayeh, and Ali Ghasemi-Marzbali. "Effect of Demand Response Programs on Industrial Specific Energy Consumption: Study at Three Cement Plants." International Transactions on Electrical Energy Systems 2022 (June 24, 2022): 1–15. http://dx.doi.org/10.1155/2022/8550927.
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Demand-side management (DSM) is the modification of consumer utilization manner for energy through various methods to smooth their power consumption curve and increase their energy efficiency. Although the DSM improves the electricity grid stability and protects the environment, it allows customers to reduce their costs. The available literature classifies DSM into two different areas: (i) energy efficiency (EE) and (ii) demand response (DR). In other words, cement plants are the largest customers of electricity, so the implementation of DSM programs in these heavy industries is very important for electricity companies. Past studies have often examined the impact of DR programs in cement factories on solving peak problems and changing load profiles but have not studied the effects of DR implementation on the energy efficiency index in the short and long term in these industries. In this paper, while examining the effect of implementing three types of common DR programs in smart grids including demand bidding (DB), ancillary services (A/S), and time of use (TOU) on the load profile of cement plants, based on the mathematical model of the load and the real data of the case study, it is shown that the implementation of the TOU program has created the highest energy efficiency by reducing specific energy consumption (SEC) in cement plants.
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Filipchuk, Oleksandr, Victor Marushchenko, Mikhailo Bratakh, Myroslav Savchuk, and Safaa Tarwat. "EFFICIENCY EVALUATION OF IMPLEMENTATION OF OPTIMIZATION METHODS OF OPERATION MODES OF THE "PLAST - GAS PIPELINE" SYSTEM BY THE METHODS OF MATHEMATICAL MODELING." EUREKA: Physics and Engineering 5 (September 28, 2018): 11–26. http://dx.doi.org/10.21303/2461-4262.2018.00717.
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To date, Ukraine's mature gas fields, which are being developed in the gas regime, are at the final stage of development, which is characterized by a significant depletion of reservoir energy. The final stage of development requires solving complex problems related to watering wells, destruction of the reservoir, removal of formation water and mechanical impurities, increasing back pressure in the system, as well as the moral and physical wear and tear of industrial equipment. In the conditions of falling gas production, a significant part of the operating well stock is unstable, in the mode of unauthorized stops due to the accumulation of liquid at the bottom and insufficient gas velocities for removal to the surface, and also the accumulation of the liquid phase in the lowered places of the gas gathering system. Within the framework of the conducted studies, the gas dynamic models of the operation of the gas collection system of 3 oil/gas-condensate fields (OGCF) are created. A single model of the gas production system "reservoir - well - gas gathering system - inter-field gas pipeline - main facilities" is built. The current efficiency of the gas production, collection and transportation system is assessed. On the basis of model calculations, the current production capabilities of the wells are defined, as well as the "narrow" places of the system. It is established that the introduction of modern technologies for the operation of watered wells without optimizing the operation of the entire gas production system is irrational, since the liquid that is carried out from the wellbore will accumulate in the plumes and increase the back pressure level in the ground part. In conditions of increasing gas sampling, liquid flowlines can be taken out of the loops and deactivated the separation equipment. The feasibility of introducing methods for optimizing the operation modes of the gas production - gathering and transportation system is estimated, which allows choosing the optimal method for increasing the efficiency and reliability of its operation. For the first time in the Ukrainian gas industry, an integrated model of the field is created as a single chain of extraction, collection, preparation and transportation of natural gas, which can be adapted for the development and arrangement of both new and mature deposits. The main advantage of the application for the hydrocarbon production sector is the simulation of the processes, which makes it possible to evaluate the operating mode of the well in the safe zone while reducing the working pressure and introducing various intensification methods, and also to estimate the increase in hydrocarbon production. For the equipment of the ground infrastructure – "midstream" – the main advantage is a reduction in the time required to perform design calculations for gas pipelines, trains and pipelines for transporting multiphase media using public models. The creation and use of integrated models of gas fields gives an understanding of the integral picture of available resources and ensures an increase in the efficiency of field development management. The results of the calculation are clearly correlated with the actual data, which makes it possible to use the models constructed to obtain numerical results.
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Quiroz Cabascango, Valeria Esthefanía. "Effect of natural gas composition on reverberatory furnace thermal efficiency for nickel alloys." Proceedings of Irkutsk State Technical University 24, no. 5 (October 2020): 1159–67. http://dx.doi.org/10.21285/1814-3520-2020-5-1159-1167.
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The purpose of the article is to develop and substantiate the principles of an energy model of an industrial reverberatory furnace taking into account chemical composition and properties of natural gas as well as to calculate the furnace thermal efficiency in order to estimate its industrial performance. To conduct the research mathematical calculations are performed based on the data of chemical and physical analysis of flue gases and chimney temperature using standard graphs of excess air and enthalpy values of flue gas components. The measurement of the amount of waste pollutants is carried out using MRU Delta 65-3 gas analyzers, which identify the total amount of gases (O2, CO, NO, H2S) They determine the temperature, pressure (vacuum), calculate the content of CO2 and installation efficiency as well. Aspen Hysys program is used to verify the mathematical model. The data on the properties of natural gas are obtained including the data on chemical composition, molecular weight, calorific value, excess air during combustion. The data on flue gases are also obtained, which include the data on the burnt gas components, molecular weights, enthalpy, calorific value, flue gases ratio at the temperatures from 94°C to 316°C. The chemical reactions of combustion given with the number of moles required and formed for each reaction are used to calculate the thermal efficiency of a reverberatory furnace for nickel alloys. The calculated data are confirmed by Aspen Hysys software. Based on the studies conducted, it is found that the variable having the greatest influence on the thermal efficiency is the low calorific value, since it depends on the composition of the natural gas. The proposed methods for calculating the thermal efficiency using a computer program are effective if an operator wants to evaluate the furnace operation efficiency on site.
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Rakhmanov, Sh R., and K. N. Turaev. "Implementation of the developed models and algorithms in problems of control of the process of culturing of chlorella." IOP Conference Series: Earth and Environmental Science 1043, no. 1 (June 1, 2022): 012009. http://dx.doi.org/10.1088/1755-1315/1043/1/012009.
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Abstract The article considers the implementation of mathematical models and algorithms for hanging the efficiency of managing the chlorella cultivation process on the basis of the modeling algorithm of state parameters. One of the necessary conditions for the optimal conduct of the process of cultivating microorganisms is automatic control of the quality and composition of nutrients at the inlet, as well as control of the output indicators of the process. Based on the results of theoretical and experimental studies performed using modern methods and tools, as well as the positive results of industrial tests, it is possible to increase the efficiency of controlling the chlorella cultivation process on the basis of a modeling algorithm for state parameters.
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Strebkov, Dmitry, Yuriy Shogenov, Ahmet Penjiyev, Besarion Meskhi, and Dmitry Rudoy. "Improving the energy characteristics of a solar photoelectric station of spherical and cylindrical surface shapes for the power supply of remote rural areas and agricultural enterprises." E3S Web of Conferences 363 (2022): 04063. http://dx.doi.org/10.1051/e3sconf/202236304063.
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One of the actual tasks of generating electricity is to increase the energy efficiency of solar photoelectric stations (SPS) in uneven lighting. The purpose of the work is to study the energy characteristics of the SPS under uneven lighting to improve the energy efficiency of solar power plants, including those for agro–industrial enterprises located and operating in remote rural areas, on sloping lands, mountainous and foothill terrain, where the efficiency of the SPS can be higher than on the plain due to a higher level of illumination. The methods of mathematical analysis with application of geometric optics, photoelectric conversion methods and construction physics in solar engineering are used. Analytical calculations were carried out to clarify the design parameters of the SPS that are made in the form of a sphere and a cylinder. The article presents the results of theoretical studies of the electrical characteristics of SPS made in the form of a sphere and a cylinder under uneven illumination of solar photoelectric modules (SPM). The relationship of electrical power and the number of SPS in the SPS is determined by the methods of mathematical statistics. As a result of studies of the electrical characteristics of SPS in uneven lighting, the following results were obtained: for SPS in the form of a sphere, small-area SPS have energy efficiency 32% more than large-area SPS; for SPS in the form of a cylinder of small-area SPS, energy efficiency increases by 19% compared to large-area SPS. The relationship between electrical power and the number of SPS was determined using the coefficient of determination, which is equal to: for a spherical surface - 36.2%, for a cylindrical one - 26.6%.
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Tugay, D. V., S. I. Korneliuk, O. O. Shkurpela, and V. S. Akimov. "Simulation of industrial solar photovoltaic station with transformerless converter system." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (2020): 73–79. http://dx.doi.org/10.33271/nvngu/2021-5/073.
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Purpose. Creation of a detailed model of a solar photovoltaic station with a converter system based on a cascaded multi-level inverter with the MPPT (maximum power point tracker) function to investigate its operating modes in distributed power systems. Methodology. To carry out the research, the paper used the methods of system synthesis, mathematical and computer modeling to create photovoltaic station models and components; a physical experiment in obtaining thermal characteristics of the photovoltaic module Solarday SDM72360 W; modern power theories for synthesis of the vector control system of a multi-level inverter. Findings. the Matlab-model of solar photovoltaic station with transformerless 29-level cascade voltage inverter is synthesized. The model confirmed the serviceability and efficiency of the converter system and the power plant as a whole. An algorithm is proposed and an MPP tracker with volt-ampere characteristics of the photovoltaic module, which corresponds to the maximum power extraction, is synthesized on the basis of the algorithm. The algorithm was validated by the model for any solar radiation intensity. Originality. The total mathematical model of the photoelectric module, which accounts for its energy and heat characteristics, is obtained and can be used for simulating the operation of any computer model of the photoelectric converter under Matlab/Simulink/SimPowerSystems environment. Practical value. The model results indicate the prospects of industrial implementation of transformerless multi-level converter systems to be used in the structure of powerful solar photovoltaic stations.
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Kolychev, V. D., and N. A. Budanov. "Models of Building Organizational Structure of Developing Highly-Technological Enterprises." Vestnik of the Plekhanov Russian University of Economics, no. 6 (December 6, 2022): 174–87. http://dx.doi.org/10.21686/2413-2829-2022-6-174-187.
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The article discusses issues dealing with building organizational structure of developing enterprises by using both quantitative and qualitative criteria. In the research the authors used the best practices of highly-technological companies. To solve the problem of organizational structure upgrading methods of assessing key indicators of organization and its division work efficiency were used. The authors propose a number of criteria and methods aimed at structure upgrading, which could be exploited in applied activity of industrial science-intensive enterprises and organizations. On the basis of mathematical methods of modeling and optimization the authors formulated suggestions concerning rational building of organizational structure and calculating parameters of completeness of structural divisions by administrative and managerial personnel.
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Kashirskikh, Veniamin, Valery Zavyalov, and Irina Semykina. "On the Issue of Increasing Reliability of Electric Mining Machinery." E3S Web of Conferences 174 (2020): 03024. http://dx.doi.org/10.1051/e3sconf/202017403024.
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The paper considers conditions of mining machinery electric drives operation and analyzes the causes of insufficient reliability. To improve the reliability and efficiency of induction motors the authors propose the computer system designed for dynamic identification of electric motors to monitor their parameters and variables, which are estimated on operating equipment in real time. Operation of the system allows calculating unmeasurable quantities and is based on the mathematical model of the induction motor as well as mathematical methods of estimation and the information contained in the measured phase voltages and currents of the stator. For dynamic mode the mathematical model of the motor’s state and the measurement part were developed and certain results were obtained. Real-time information can be used for both control and management of electric motors, function testing, protection, forecasting as well as acceptance testing of electric motors in mining machinery electric drives to identify their individual data and quality control of the industrial processes in the manufacture or repair of motors.
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ZAMBRZHITSKAYA, Evgeniya S. "Development and application of optimization models in the production capacity management strategy." Economic Analysis: Theory and Practice 20, no. 7 (July 29, 2021): 1368–90. http://dx.doi.org/10.24891/ea.20.7.1368.
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Subject. The article addresses elaboration of methods for strategic management of production capacities to bring them to practical use at the level of individual industrial enterprises. Objectives. The purpose of the study is to develop optimization models to manage production capacities of industrial enterprises at the strategic level. The models are focused on bringing enterprise structure to the optimal condition in terms of output of products that are in demand in the market. Methods. The study employs methods of analysis and synthesis, principles of consistency and complexity, theory of graphs, matrix calculus. Results. To develop existing approaches to the strategic management of production capacities, I offer a multicriteria optimization model, structurally consisting of several mathematical programming problems. Conclusions. If used, the optimization models for the development of a production capacity management strategy will enable modern Russian enterprises to significantly increase their competitiveness and operational efficiency, since the level of production capacity affects the positioning of an enterprise in the market, its cost structure, etc.
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Medvedieva, Maryna. "ЙМОВІРНІСНИЙ ПІДХІД ДО МОДЕЛЮВАННЯ ДОЦІЛЬНОСТІ АУТСОРСИНГУ В ІННОВАЦІЙНІЙ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА." Economical 1, no. 1(23)2(24) (2021): 48–55. http://dx.doi.org/10.31474/1680-0044-2021-1(23)2(24)-48-55.
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Goal. Development of a probabilistic model that allows you to make a decision on the feasibility of outsourcing or insourcing auxiliary work (prevention, repair and reconfiguration of the unreliable equipment) of an industrial enterprise in order to increase its competitiveness when operating in unstable external and internal conditions. Method. The analysis of the main factors influencing the sustainable functioning of an industrial enterprise is based on the methods of scientific research: the methods of theoretical generalization, systematization and adjustment. The mathematical basis for constructing a probabilistic model is the reliability theory and the queuing theory. Results. The functioning of a modern industrial enterprise as a flexible production system is considered, some indicators of which are of a probabilistic nature. The flexible manufacturing system is viewed as a single-channel queuing system with a single machine and a simple input flow of orders. The main advantages of using outsourcing in industrial enterprises are determined. The possibility and efficiency of using the methods of mathematical statistics, reliability theory and queuing models in modulating the expediency of outsourcing is substantiated. The regularities of maintenance processes of flexible production systems are revealed, which allow formulating recommendations for choosing the optimal strategy for the system functioning and finding its possible characteristics. An economicmathematical model has been constructed that describes the process of functioning of the economic system, as well as its technical and technological maintenance. Based on the developed model, the issues of economic and mathematical substantiation of the expediency of transferring auxiliary production processes to outsourcing are considered. Scientific novelty. The main characteristics of the operation and maintenance of a production system with unreliable equipment and the total costs of its operation are determined. The problem of evaluating the expediency of outsourcing is considered. Practical significance. The study results form the scientific and practical basis for a management decision in order to achieve high competitiveness, ensure the efficient and sustainable functioning of the enterprise.
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Agapova, Elena G., and Tatyana M. Popova. "MATHEMATICAL MODEL OF A LOGISTICS PROBLEM WITH A VARIABLE RATE." International Journal of Advanced Studies 11, no. 2 (June 30, 2021): 7–20. http://dx.doi.org/10.12731/2227-930x-2021-11-2-7-20.
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Logistics as a science and as an area of practical knowledge has recently aroused increasing interest, since its activities are multifaceted. Logistics includes the management of transport, warehousing, inventory, human resources, the organization of information systems, commercial activities and much more. At the same time, there is a novelty of the approach in logistics - the organic interconnection, the integration of the above areas into a single management of material flows. Transport logistics refers to the main sections of the logistics of the movement of resources. Transport logistics allows you to solve many different problems of varying complexity and scale on a scientific basis.
The article deals with a mathematical model of a logistics problem with variable transportation tariffs. Numerical solutions of the mathematical model by a symmetric algorithm, based on the averaging of variable tariffs, are given. The ways of transportation cost reduction are considered.
Automation of information flows accompanying cargo flows is one of the most essential technical components of logistics. The use of methods of logistics opens up new reserves for creation of competitive advantage of this or that firm on the basis of maximum satisfaction of clients’ demands.
Purpose. Finding the minimum path by the symmetric algorithm method; investigate the efficiency of the warehouse location.
Methodology in article use methods of solving the transportation problem, elements of graph theory, elements of the theory of fuzzy sets.
Results. A study was conducted on the efficiency of the location of the warehouse, the method of symmetric algorithm was found the minimum path; estimated the cost of the input measures.
Practical implications it is expedient to apply the received results in transportation management, resource flow management (warehouses).
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Rodríguez, Borja, Francisco González, Miguel Ángel Naya, and Javier Cuadrado. "Assessment of Methods for the Real-Time Simulation of Electronic and Thermal Circuits." Energies 13, no. 6 (March 14, 2020): 1354. http://dx.doi.org/10.3390/en13061354.
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Time–domain simulation of electronic and thermal circuits is required by a large array of applications, such as the design and optimization of electric vehicle powertrain components. While efficient execution is always a desirable feature of simulation codes, in certain cases like System-in-the-Loop setups, real-time performance is demanded. Whether real-time code execution can be achieved or not in a particular case depends on a series of factors, which include the mathematical formulation of the equations that govern the system dynamics, the techniques used in code implementation, and the capabilities of the hardware architecture on which the simulation is run. In this work, we present an evaluation framework of numerical methods for the simulation of electronic and thermal circuits from the point of view of their ability to deliver real-time performance. The methods were compared using a set of nontrivial benchmark problems and relevant error metrics. The computational efficiency of the simulation codes was measured under different software and hardware environments, to determine the feasibility of using them in industrial applications with reduced computational power.
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Гриньова, Ірина, Крамаріч Далібор, Кос Желько, and Аркадій Чепак. "MODERN METHODS TO INCREASE THE ENERGY EFFICIENCY OF THE HEAT SU PPLY." Молодий вчений, no. 9 (109) (September 30, 2022): 15–17. http://dx.doi.org/10.32839/2304-5809/2022-9-109-4.
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The author's concept of the production complex is given as the central object of economic activity of modern socio-economic, the activity of which is directly associated with the functioning of large integrated structures. The high urgency of the problem of increasing the energy efficiency of industrial complexes in the economy of modern Russia is shown. The analysis of modern approaches to the assessment of energy efficiency, developed in world science, is carried out. In particular, the approaches used in the methods of the International Energy Agency, the World Energy Consulate, the Asia-Pacific Research Center, the French Environment Agency and a number of other well-known methods are considered; the analysis of the advantages and disadvantages of these approaches and methodological developments is carried out. Based on the results of the research, the main conclusions are made and directions for further research are shown.
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KOLESNIK, Georgii V., and Mikhail B. RYBAKOV. "A model to optimize the structure of enterprise's fixed assets in conditions of digital transformation." Economic Analysis: Theory and Practice 20, no. 2 (February 26, 2021): 357–78. http://dx.doi.org/10.24891/ea.20.2.357.
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Subject. The article addresses the enhancement of fixed assets utilization efficiency as one of priority tasks faced by modern machine-building enterprises. Objectives. The purpose is to devise approaches and tools for solving the problems of optimization of industrial enterprises’ fixed assets development and use, on the basis of mathematical modeling. Methods. The study employs methods of mathematical modeling of economic processes, the Markov chain theory, and the multicriteria optimization. Results. We offer an approach to analyze the life cycle of enterprise’s fixed assets based on the theory of Markov chains. The paper presents a mathematical model of the fixed asset life cycle, formulates optimization tasks for fixed assets development, taking into account economic feasibility and reliability. Using the developed tools, it is possible to plan investing and operating activities for geographically distributed systems of enterprises, in particular, optimization of investment in production capacities development, planning their maintenance and repairs, load distribution between individual enterprises of the system. Conclusions. The use of modern digital technologies that provide dynamic forecasting and optimization of fixed assets enables to achieve a number of improvements, including a reduction in production time and cost and increase in efficiently used production means.
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Zhdanov, Valery, Elena Logacheva, Viktor Yarosh, and Alexander Ivashina. "Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises." BIO Web of Conferences 37 (2021): 00103. http://dx.doi.org/10.1051/bioconf/20213700103.
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Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.
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MAKAROV, Nikolay, Vladimir MAKAROV, Aleksandr UGOLNIKOV, and Mikhail NOSYREV. "OPTIMIZATION OF PARAMETERS OF FAN UNITS OF AIR COOLING DEVICES." Sustainable Development of Mountain Territories 13, no. 3 (September 30, 2021): 433–40. http://dx.doi.org/10.21177/1998-4502-2021-13-3-433-440.
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Purpose of the study. Optimization of the parameters of high speed fan units of air coolers, the combination of which achieves the highest economic efficiency of fan units and, accordingly, the most rational range of specific speed values for the modes of maximum efficiency of fan units in combination with the relative diameter of the sleeve. Development of a mathematical model for determining the local values of the parameters of the efficiency of highspeed fan installations. Sustainable development of territories with active subsoil use is closely related to solving the problems of improving industrial safety and the efficiency of cooling the compressed gas at compressor stations of main gas pipelines, which actualizes the problem of mathematical modeling of energy conversion processes in the impellers of fan units of gas air coolers (AVO) to increase the competitiveness of the oil and gas complex RF in the context of globalization. Research methods. To optimize and determine the limiting combination of calculated parameters, the mathematical method of searching for the area of local maxima of a multiparameter problem in this part was performed in two stages: a mathematical model was built for determining the local values of the parameters that ensure the highest efficiency of fan installations with high speed; the most rational limiting combination of design parameters was determined, at which the highest economic efficiency of fan installations is achieved. Research results. The possibility of increasing the economic efficiency of axial fan units of high speed, made according to aerodynamic schemes with one impeller for gas air cooling devices, has been established. Using the mathematical analysis of the basic laws of axial turbomachines, equations for the efficiency of a fan unit and a fan are obtained, depending on the specific speed. Formulas are obtained for the maximum values of the efficiency of the fan and the fan unit of various specific speed depending on the coefficient of the consumpconsumption speed and on the relative diameter of the impeller sleeve. A method is proposed for constructing aerodynamic schemes of axial fan units for air-cooled gas coolers of the "K" type with maximum maximum values of efficiency for given values of specific speed, relative diameter of the impeller sleeve, aerodynamic quality of the impeller profiles, coefficient of aerodynamic resistance of the flow path of the coefficient of flow velocity. The possibility of creating a fan installation with a speed of ny ≥ 400 with an efficiency of at least ηy=0,86. Application area. Enterprises of the oil and gas complex of the Russian Federation for cooling compressed gas using AVO compressor stations of main gas pipelines.
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Пупырев, Е. И., В. Л. Ширяевский, and В. А. Герасимов. "Pre-project evaluation of the efficiency of water and sludge treatment facilities." Vodosnabzhenie i sanitarnaia tehnika, no. 7 (July 15, 2021): 41–49. http://dx.doi.org/10.35776/vst.2021.07.06.
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Проектирование сооружений очистки воды имеет многовековую историю. В настоящее время в мировом проектном сообществе сложились практически единые технологические схемы очистки природной воды до уровня питьевой и очистки хозяйственно-бытовых сточных вод. В области очистки воды в профессиональном сообществе идет интенсивный обмен идеями, технологиями, промышленными продуктами. В последнее время активно развиваются математические методы расчета блоков сооружений, используются методы цифрового (компьютерного) проектирования. Для сложных проектов в первую очередь выполняются предпроектные работы. Методы проектирования сооружений очистки воды остаются по сути своей эвристическими, и для одной и той же постановки задач может быть предложен ряд конструктивных решений. Цифровая среда проектирования позволяет решать новые задачи, прежде всего проектировать очистные сооружения, оптимальные не только по показателям качества воды и другим техническим параметрам, но одновременно, если это возможно, и по экономической эффективности. Предлагается метод разработки предпроекта с использованием многовариантных математических процедур, которые позволяют приблизиться к оптимальному сочетанию технических и финансовых показателей будущего сооружения очистки воды. Designing water treatment facilities has a centuries-old history. At present, the world project community has developed practically unified process flow schemes for natural water treatment to the drinking water quality and domestic wastewater treatment. The professional community practices an intensive exchange of ideas, technologies, and industrial products in the field of water purification. Recently, mathematical methods for calculating module structures have been actively developing, methods of digital (computer) design are used. For complex projects, first of all, pre-project work is carried out. Methods for designing water treatment facilities remain inherently heuristic, and a number of design solutions can be proposed for the same problem statement. The digital design environment provides for tackling new problems, first of all, for designing treatment facilities that are optimal not only in terms of the water quality and other technical parameters, but at the same time, if possible, in terms of the economic efficiency. A method is proposed for the development of a pre-design using multivariate mathematical procedures that allow approaching the optimal combination of technical and financial indicators of the future water treatment facility.