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1
Rabchuk, Serhii. "FORECASTING THE EFFICIENCY OF MANAGEMENT OF OPERATIONAL ACTIVITIES OF INNOVATION-ORIENTED ENTERPRISES." Actual Problems of Economics 1, no. 278 (2024): 159–72. https://doi.org/10.32752/1993-6788-2024-1-278-159-172.
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The article defines the main aspects and methods of forecasting the effectiveness of management of operational activities of innovatively oriented enterprises. Attention is focused on the fact that the problem of forecasting the effectiveness of management of operational activities of innovatively oriented enterprises is extremely relevant in modern conditions of rapid technological changes and global competition. The lack of adequate forecasting methods can lead to low efficiency of operational management, which, in turn, negatively affects the overall competitiveness of the enterprise. The method of analysis and forecasting of individual effects of the enterprise efficiency management system was proposed and its adaptation was carried out on the example of five business entities. Forecast values for these enterprises have been calculated for 2025-2027. The data we received emphasize the importance of a stable and effective management system for maintaining competitive advantages in the market
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Savchenko, Maryna, and Natalia Boichenko. "MODELING AND FORECASTING OF THE EFFICIENCY OF ELECTRICITY INDUSTRY ENTERPRISES." Actual Problems of Economics 1, no. 256-257 (2022): 43–53. http://dx.doi.org/10.32752/1993-6788-2022-1-256-257-43-53.
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In the article, based on the content analysis of theoretical approaches to determining the efficiency category of the enterprise, the directions of the development of the theory of efficiency are visualized according to the time vector of scientific evolution. Taking into account the scientific works and theoretical views of various researchers, it is justified that for the formation of the author's definition of the efficiency of the enterprise, it is advisable to integrate the existing approaches to the essence of efficiency. On the basis of a comparative analysis of literary sources, the essential characteristics of "management of the efficiency of the enterprise" were determined. Conceptual principles were formed and a management system for the efficiency of the electric power industry enterprise was developed. One of the blocks of the company's efficiency management system is a model toolkit that will allow forecasting the level of efficiency. It is recommended to implement the model toolkit of integrated assessment of the enterprise's performance through the algorithm of the classic version of the taxonomic indicator construction in the following stages: standardization of indicator values, formation of a benchmark and calculation of a general indicator. The algorithm of the model toolkit was implemented according to the data of the enterprise of the electric power industry – JSC Khmelnytskoblenergo in the MS Excel software environment. A comparative analysis of the initial trend line of the enterprise's activity efficiency and the line of its forecast was carried out using the model toolkit. The results of the calculation of the forecast values of the performance indicator of the electric power industry enterprise and the upper and lower limits of the confidence intervals for the forecast period are presented.
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Chi, Zhang, and Alexander V. Myaskov. "STUDY OF THE EFFICIENCY OF CHINESE GOLD MINING ENTERPRISES BASED ON NEURAL NETWORKS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 8/6, no. 149 (2024): 85–92. http://dx.doi.org/10.36871/ek.up.p.r.2024.08.06.008.
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The article is devoted to the analysis and study of increasing the efficiency of gold mining enterprises. The goal is to develop a tool for quantitative analysis and forecasting of key factors affecting the efficiency of gold mining enterprises. The methodological basis of the work is scientific and practical research methods: the use of economic principles, the combination of econometric models and artificial intelligence algorithms, as well as the results of research by Chinese scientists on the development of gold mining enterprises. During the study, the most significant factors affecting the efficiency of gold mining enterprises were selected. In accordance with the economic principles of optimal resource allocation and efficiency maximization, the creation of a neural network model, using Chinese gold mining enterprises as an example, contributes to the formation of a data set for forecasting and analyzing critical factors affecting the efficiency of the enterprise. By means of the created neural network with fuzzy logic, complex relationships between various factors affecting the efficiency of the enterprise are revealed, and important reference information for enterprises on optimizing resource allocation is obtained. By constructing a neural network forecasting model, it is possible to analyze the future trends of key factors affecting the operating efficiency of an enterprise. Quantitative forecasting and evaluation of each key factor allows enterprises to plan the development and use of resources in advance, and achieve resource allocation with optimal efficiency. It is concluded that the key factors affecting the operating efficiency of gold mining companies are: cost of sales, investment in geological exploration, balance reserves, global demand, operating income, capital expenditure, and investment in social projects. As the global demand for gold continues to grow, Chinese gold mining companies have been constantly increasing their investment in geological exploration and capital expenditure, achieving a continuous increase in core reserves and fully meeting annual production needs.
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Wang, Lipeng. "Application of Numerical Deconstruction in Enterprise Economic Management." Mathematical Problems in Engineering 2022 (August 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/2846062.
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The rapid development of the global economy has provided new opportunities for all walks of life and enabled enterprises to develop in an all-round way. Under the multi-faceted competition, enterprises need to improve their comprehensive capabilities, so they need to effectively manage the enterprise economy in the process of enterprise operation. The traditional enterprise economic management model mainly predicts the future enterprise economy by analyzing the enterprise economic status of the previous period, but there are defects such as poor prediction accuracy and low management efficiency. Numerical analysis is the analysis and processing of numerical problems through techniques such as computers. By comparing with traditional management methods, numerical analysis is applied to enterprise economic management. The experimental results show that in terms of employee technical training time and reward innovation, the accuracy of enterprise economic forecasting under the binary regression method is 98%, and the accuracy under the univariate regression method is 61.7%. And the economic benefit brought by the optimal solution under the binary regression analysis is 45.8% higher than that of the single regression method, and the economic management efficiency of the enterprise is 23.5% higher. In terms of enterprise cost input and employee distribution, the method of binary regression applied to enterprise economic management is superior to the univariate regression method in terms of the accuracy of enterprise economic forecasting, the economic benefits, and the efficiency of enterprise economic management. Therefore, the application of numerical analysis in enterprise economic management can predict the development trend of the enterprise economy, ensure the economic benefits of the enterprise, and improve the management efficiency of the enterprise economy.
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Dranko, O. I. "FORECASTING OF FINANCING OF ENTERPRISE CONVERSION." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 20, no. 4 (2020): 74–82. http://dx.doi.org/10.14529/ctcr200408.
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Purpose of the study. The task set by the President of Russia to increase the output of civilian products at the enterprises of the defense complex to 50% in 2030 requires the study of various ne-cessary resources, as well as models and methods of managing them. In the context of the econom-ic crisis caused by the coronavirus in 2020, the relevance of studying the possibilities of achieving this significant task is increasing. In this work, the goal is to develop a mathematical model, conduct modeling and assess the need for financing the growth of civilian output at enterprises in the re-search and development industry. Methods. A simulation model for multi-period forecasting of the financial state of the enterprise is used. Methods of processing big data are used to obtain the in-itial information. The means of regression analysis are used to determine the dependencies of the fi-nancial statements. Scenario analysis methods allow us to consider and highlight the significant fac-tors influencing the research goal. Results. A multi-period model of forecasting the financial and economic state of an enterprise has been developed to assess the consequences of an increase in ci-vilian production at enterprises of scientific research and development. The initial data of financial statements based on open data from Russian Agency for Statistics (Rosstat) were obtained, and the aggregation of reporting indicators was carried out. Simulation calculations were carried out in the scenarios of inertial growth, growth with an increase in efficiency, and replacement growth. The task of increasing the share of civilian products to 50% by 2030 at scientific and technical en-terprises in Russia will require significant additional funding, an estimate of about 1,300 billion ru-bles in an inertial scenario. The development and implementation of a program to improve the effi-ciency of enterprises significantly reduces the need for additional financing, the estimate is about 1,100 billion rubles with a slight improvement in efficiency parameters. Conclusion. The results of this study can be used to develop industrial development programs both at the industry level and at the level of individual enterprises. Increasing the output of civilian products will require significant funding. Development and implementation of operational efficiency programs of enterprises can significant-ly reduce the need for additional funding.
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Lu, Xingguang. "A Human Resource Demand Forecasting Method Based on Improved BP Algorithm." Computational Intelligence and Neuroscience 2022 (March 29, 2022): 1–9. http://dx.doi.org/10.1155/2022/3534840.
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Human resources are the first resource for enterprise development, and a reasonable human resource structure will increase the effectiveness of an enterprise’s human resource input and output. The reality is that even if an enterprise designs a human resource allocation plan in accordance with the corporate strategy, it is impossible for the enterprise to operate in full accordance with the plan during the operation process, so the human resource allocation plan only reflects the law of the enterprise’s human resource needs during the enterprise development process. Giving effective guidance to the specific work of human resources is difficult. It is impossible to carry out effective human resources structure adjustment to adapt to changes in human resources demand due to changes in corporate tactics, business, scale, and other factors, especially when the current domestic human resources market has not yet fully formed. This paper examines the impact of key factors such as the company’s business growth scale and production efficiency improvement on human resource needs with the goal of improving team structure, optimizing staff allocation, controlling labor costs, and improving efficiency and benefits. In this paper, we attempt to develop a human resource demand forecasting model based on business development and economic benefits and guided by intensive human resource development. We analyze and forecast the enterprise’s total human resource employment, personnel structure, and quality structure using this model. In light of this, this paper employs an improved BP neural network to construct a human resource demand forecasting system, resulting in a new quantitative forecasting method for human resource demand forecasting with strong theoretical significance. Simultaneously, the human resource demand forecasting system developed can enable enterprises to carry out personnel demand forecasting from the actual situation, making forecasting more applicable, flexible, and accurate, allowing enterprises to realize their strategies through reasonable human resource planning.
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Lyzhnyk, Yu B., and Yu H. Bocharova. "A PREDICTIVE APPROACH TO THE TAXONOMIC ANALYSIS OF A COMPANY'S FINANCIAL AND ECONOMIC HEALTH." Visnyk of Donetsk National University of Economics and Trade named after Mykhailo Tugan-Baranovsky, no. 1(80) (2024) (June 30, 2024): 20–30. http://dx.doi.org/10.33274/2079-4819-2024-80-1-20-30.
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Objective. The purpose of the article is to identify and evaluate alternatives to the application of the predictive approach to the taxonomic analysis of the financial and economic state of the enterprise.. Methods. During the research, the following methods are applied: the method taxonomy of (for taxonomic analysis based on the data of the enterprise «Kyivstar» PJSC); the method of analysis (for comparing integral and complex taxonomic indicators for different periods; the comparison method (for comparing the accuracy of the obtained forecast models); the autoregression forecasting method (for forecasting the input indicators for taxonomic analysis of «Kyivstar» PJSC and the taxonomic indicators themselves). Results. The expediency of applying the predictive approach to the taxonomic analysis of the financial and economic state of the enterprise on the example of PJSC "Kyivstar" is substantiated. It was determined that the application of the predictive approach allows not only to assess the current state of the enterprise, but also to identify trends and predict the future development of enterprises, contributes to more justified management decisions, increasing the effectiveness of strategic planning. Two directions of application of the predictive approach to the taxonomic analysis of the financial and economic state of the enterprise are proposed: forecasting of taxonomic indicators, forecasting of input data and calculation of taxonomic indicators based on actual and model data. It was established that the accuracy of forecasting according to the first approach (forecasting of taxonomic indicators) for integral indicators characterizing the company's income (I1), company's expenses (I2), the efficiency of the company's non-current assets (I3), the efficiency of the use of the company's own capital (I4), profitability and financial stability of the enterprise (I5), and the complex taxonomic indicator was 73%-86%, according to the second approach (forecasting input data and calculating taxonomic indicators based on actual and model data) - 78-91%. It was determined that the advantage of the first approach (forecasting taxonomic indicators) is a simple calculation algorithm, while forecasting is applied to only six resulting taxonomic indicators; the second (prediction of input data and calculation of taxonomic indicators based on actual and model data) – a more reasonable conclusion regarding the accuracy of the predicted values of taxonomic integral and complex indicators.
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Borsh, Lyudmila Mihaylovnа, and Svetlana Vasilyevna Gerasimova. "FINANCIAL PLANNING OF ENTERPRISES DEVELOPMENT AS A SYSTEM FOR MANAGING ITS EFFICIENCY." Scientific Bulletin: finance, banking, investment., no. 2 (51) (2020): 29–39. http://dx.doi.org/10.37279/2312-5330-2020-2-29-39.
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The article is devoted to the study of the actual scientific and practical problems of financial planning and forecasting of enterprises as a complex and multifaceted management system, performing a whole range of complex tasks using approaches for their implementation. The purpose of the study is to provide adaptive diffusion of enterprises that arise at the macro level in the process of fulfilling tasks. The authors formed a new view of understanding the development of an enterprise as a unique process of transforming an open system in space and time. Under the influence of time, the global goals and objectives of the enterprise are constantly changing with its transfer to the new path of development of a planned economy.
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Zhovkovska, Tetyana, Oleksii Bezchasnyi, Olena Usykova, Kostyantyn Rybachuk, and Khrystyna Dzhuryk. "Predicting development based on a model of reflexive connections." Revista Amazonia Investiga 10, no. 42 (2021): 113–23. http://dx.doi.org/10.34069/ai/2021.42.06.11.
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The purpose of the article is to develop an approach to quality forecasting of industrial enterprises. This article intends to understand how to take into account in predicting relationship, behavior and interaction of economic agents that affect the efficiency of the enterprise. The result of the work is a reflexive approach to forecasting the development of an industrial enterprise, which focuses on prediction considering the complex interaction of economic agents in industrial activities as subjects of reflection with appropriate ranks. The approach based on the proposed model, which taking into account the reflective relationships between the industrial enterprise system and the components of the external environment, in which the industrial enterprise and other economic agents (or groups of economic agents) are considered as systems and trajectories. Depending on the trajectories of the components of the environment can be predicted development of industrial enterprises and management measures developed for correction. As components of the external environment, the trajectories of which must be taken into account when reflexively forecasting the development of an industrial enterprise are offered: the market of raw materials; groups of competitors; consumer groups; supplier groups; financial market; labor market. The model of taking into account the reflective connections between the system of the industrial enterprise and the components of the external environment is implemented in the PowerSim simulation package.
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Liu, Dan. "Enterprise Digital Retail Business Data Analysis and Forecasting Based on Time Series Analysis." Advances in Economics, Management and Political Sciences 77, no. 1 (2024): 206–12. http://dx.doi.org/10.54254/2754-1169/77/20241678.
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Digital enterprise management refers to the use of digital technology and information systems to manage various businesses and processes of an enterprise in order to improve its efficiency and competitiveness. Digital enterprise management is crucial to the development and operation of enterprises, which can help them realize more efficient production and management, improve their efficiency and competitiveness, as well as improve their innovation and flexibility, so that they can be more adaptive to market changes and customer needs. This paper focuses on the significance and methods of time series analysis of a retail enterprise's sales. By analyzing the historical sales data, we can predict the future sales trend and change rule, formulate corresponding sales strategies and plans, and improve sales efficiency and profit. Time series analysis is a commonly used data analysis method, in which AR model, MA model and ARMA model are three commonly used models, which have different principles and applications.AR model is a model based on the historical data of the time series itself for forecasting, which assumes that the future values are only related to the past values.MA model is a model based on the historical data of the error term of the time series for forecasting, which assumes that the future values are only related to the past values. The ARMA model is a combination of the AR model and the MA model, which can take into account both the autocorrelation of the time series and the correlation of the error term. By comparing the performance of the three models, the most suitable model can be selected for forecasting. For retail companies, sales are a very important indicator. Through time series analysis, it is possible to understand the seasonal and cyclical pattern of sales, predict the future sales trend and change pattern, adjust the product structure, inventory management and marketing strategy in time, and improve sales efficiency and profit. In addition, it can also understand the development trend and potential of the enterprise by comparing the sales of different time periods, which can provide support and reference for the strategic decision-making of the enterprise.
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Semenenko, Olena, and Olexandr Cherniaiev. "Modeling the influence of enterprise efficiency on business value assessment." University Economic Bulletin, no. 51 (December 21, 2021): 79–89. http://dx.doi.org/10.31470/2306-546x-2021-51-79-89.
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The article presents a model of the impact of assessing the effectiveness of the enterprise on business value and building a forecast of the company. The subject of the research is a set of theoretical and methodological principles and applied aspects of modeling the process of business evaluation and efficiency of economic activity of enterprises. The aim of the work is to substantiate the model of the impact of enterprise efficiency on business value. Methodological basis of the article. A set of general scientific and applied research methods was used to achieve the goal and solve the tasks set in the research: method of analysis and synthesis, system analysis, modeling, expert evaluation, questionnaires, surveys, analytical planning and forecasting methods, rating method, complex weight estimation method based on fuzzy sets, economic-mathematical, statistical methods. Results of work. The structural and logical model of business evaluation and efficiency of the enterprise activity is developed; the economic-mathematical model of influence of efficiency of activity of the enterprise on cost of its business is presented, algorithms of an estimation are improved: efficiency of activity of the enterprise on the basis of an integrated indicator and cost of business on the basis of the generalized indicator of cost. An example of application of evaluation models to the activity of a dairy enterprise is considered, strategies and development plan are substantiated in the context of increasing the efficiency of the enterprise and the value of its business. Field of application of results. The theoretical provisions presented in the article made it possible to form proposals of scientific and practical nature for modeling the impact on business valuation of the efficiency of economic activity of the dairy industry, in the process of strategic planning. Conclusions. The impact of enterprise efficiency on business value is confirmed not only in the course of practical production activities, but also in the process of drawing up strategic business development plans. Therefore, the assessment and modeling of the relationship between these factors allows better forecasting and planning of business processes, optimize the decision-making algorithm to improve economic activity, increase efficiency and increase business value.
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Sergiyanskiy, Evgeniy, Ivan Kirillov, and Alena Smirnova. "Solving the forecasting demand for specialists problem using fuzzy logic methods." E3S Web of Conferences 549 (2024): 09019. http://dx.doi.org/10.1051/e3sconf/202454909019.
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The article deals with the actual problem of one of the tasks of realization of personnel provision of a large industrial enterprise. At the beginning of the article the comparative analysis of methods of forecasting of dynamics of demand for specialists of the enterprise is given. On the basis of this analysis the possible approach to the solution of the problem of forecasting of personnel needs of an industrial enterprise is suggested. A possible formulation of the problem of forecasting the demand for specialists is given, the proposed formulation is based on the long-term experience of the authors of the article in educational institutions in Russia, as well as on the analysis of the data obtained when the authors communicate with employees of industrial enterprises. The urgency of solving the proposed problem is substantiated and the necessity of using fuzzy logic methods is argued. The method of demand forecasting is offered, the advantages of which are simplicity of use, sufficient efficiency in the presence of a sufficient number of statistics and convenience of realization in the form of a software product. The paper concludes with a brief assessment of the effectiveness and usability of the proposed method.
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Xue, Xiaoyu. "Analysis of the Impact and Application of Artificial Intelligence on the Development of Supply Chain Technology in Large Enterprises." Modern Economics & Management Forum 4, no. 5 (2023): 142. http://dx.doi.org/10.32629/memf.v4i5.1494.
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In recent years, artificial intelligence (AI) has become an important driving force for the development of large enterprise supply chain technology. Through machine learning, natural language processing, computer vision and other technologies, AI can help enterprises improve the efficiency and reliability of supply chains. This article analyzes the impact of AI on the development of large enterprise supply chain technologies and explores its applications in data analysis and forecasting, planning and scheduling, automation and robotics technologies, risk management and anti-fraud for supply chain management. The results show that AI has huge potential to improve the efficiency, transparency and security of large enterprise supply chains. It can help enterprises more accurately analyze massive amounts of supply chain data, predict potential problems, optimize planning and scheduling, improve automation levels with robots, and strengthen risk oversight and fraud prevention through technologies like machine vision.
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PRYKHODCHENKO, Oksana, and Serhii OSTRIANYN. "Development of the information system for managing the output volume of a manufacturing enterprise considering demand." Economics. Finances. Law 7/2024, no. - (2024): 42–46. http://dx.doi.org/10.37634/efp.2024.7.8.
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This paper examines the integration of information systems for optimizing the management of production output volumes at manufacturing enterprises, considering demand. The research highlights the critical role of integrated information systems in enhancing the operational efficiency, decision-making processes, and overall competitiveness of manufacturing companies. Ultimately, an integrated information system ensures effective dissemination of valuable information throughout the organization, leading to increased efficiency and profitability for manufacturing companies. The paper emphasizes the importance of integrating demand forecasting, production, warehouse planning, and advertising to optimize operations in industries facing cyclical demand fluctuations. By simultaneously addressing these aspects, companies can minimize costs, improve decision-making consistency, and enhance overall efficiency. The research addresses the issue of planning production volumes, ensuring warehouse resource availability, and stimulating demand through advertising activities, often considered separate business functions. However, all these functions aim to achieve the commercial enterprise's goal of maximizing profit. In modern conditions, any enterprise is a complex system characterized by emergent behavior and interdependence of its components. To maximize the profitability of a manufacturing enterprise, its sales volumes must match the demand, which depends, among other factors, on the effectiveness of demand stimulation through advertising. The ability to meet demand is determined not only by production volumes, which may vary over time, but also by warehouse stock levels, which depend on the available capacity of owned and rented warehouses. The paper proposes an integrated optimization of production output and advertising using economic and mathematical models. The research object is the production and sales activities of an enterprise. The research tasks include forecasting demand for the enterprise's products, determining optimal warehouse capacity, evaluating the effectiveness of advertising campaign elements in influencing demand, optimizing the set of advertising campaign elements, optimizing production output, and developing an integrated information system to support these optimization processes.
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Tomashuk, Inna, Olena Dzhedzhula, and Olena Koval. "ORGANISATION OF MARKETING ACTIVITIES IN AGRICULTURAL ENTERPRISES." Baltic Journal of Economic Studies 10, no. 1 (2024): 222–36. http://dx.doi.org/10.30525/2256-0742/2024-10-1-222-236.
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The aim of the article is to identify the characteristics of the introduction and development of marketing activities in agricultural enterprises in order to increase the efficiency of their activities. Methodology. The theoretical and methodological basis of the study is a systematic approach to the study of economic phenomena and processes related to the marketing activities of agricultural enterprises. In formulating theoretical generalisations and formulating conclusions and proposals, the paper uses historical, abstract and logical, and monographic methods. Forecasting of indicators characterising the marketing potential of enterprise in the context of increasing labour productivity at enterprises, market parameters and substantiation of the choice of marketing strategy of agricultural producers is carried out using the methods of extrapolation and economic forecasting. The article uses general scientific and special research methods: abstraction and comparison, analysis and synthesis, graphical methods, deduction, economic and mathematical modelling, observation and comparison, and the logical method. The results of the study show that marketing instruments include methods of its implementation, i.e., advertising, sales, customer service, pricing policy, study of needs and demand, communication with consumers and the public. Calculation of a comprehensive indicator of efficiency of marketing activity of enterprises is an important direction of assessment of the status and level of development of the marketing complex at enterprise. The indicator makes it possible to promptly identify and eliminate deviations in achieving goals and fulfilling tasks, which affects the overall performance of the enterprise. The results of the study are presented in the form of tables, graphs, diagrams, and charts. Practical implications. Since the marketing activity of an agricultural enterprise is multifaceted, it is necessary to evaluate its effectiveness in the following areas: efficiency of implementation of marketing functions, implementation of the marketing complex and use of marketing resources. In order to assess the level of efficiency of marketing activities, it is necessary to analyse both strategic and tactical aspects of the agricultural enterprise. Value/originality. An important component of ensuring marketing activities in the agricultural market is the communication policy of the enterprise. A modern system for assessing the effectiveness of marketing activities should take into account the possibility of disseminating information via the Internet, which is an indispensable tool for obtaining up-to-date marketing information.
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Yepifanova, Irina. "Theoretical and methodological principles of evaluating the efficiency of use of fixed capital by mechanical engineering enterprises." Economics: time realities 4, no. 56 (2021): 47–53. http://dx.doi.org/10.15276/etr.04.2021.6.
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The research paper notes that the efficiency of the use of fixed capital is one of the basic criteria of the performance of a mechanical engineering enterprise, which necessitates its detailed study and evaluation. Peculiarities of evaluating the efficiency of use of fixed capital of mechanical engineering enterprises are investigated. A thorough analysis and generalization of current methodical approaches to evaluating the efficiency of the use of fixed capital by the enterprise is carried out. The basic criteria of evaluating the efficiency of use of fixed capital by mechanical engineering enterprises are determined. The author’s concept of the modern methodology for evaluating the efficiency of the use of fixed assets by mechanical engineering enterprises is presented graphically, including: object, subject, goals and objectives, principles and functions, methods and criteria for evaluating the efficiency of the use of fixed capital by mechanical engineering enterprises. The purpose and tasks of further scientific research are substantiated, which consist in the practical use of the proposed methodology for real evaluation of the efficiency of the use of fixed assets of the operating mechanical engineering enterprises and their forecasting in order to ensure their strategic development.
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Irina, M. Yepifanova. "Theoretical and methodological principles of evaluating the efficiency of use of fixed capital by mechanical engineering enterprises." Economics: time realities 4, no. 56 (2021): 47–53. https://doi.org/10.5281/zenodo.6536718.
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The research paper notes that the efficiency of the use of fixed capital is one of the basic criteria of the performance of a mechanical engineering enterprise, which necessitates its detailed study and evaluation. Peculiarities of evaluating the efficiency of use of fixed capital of mechanical engineering enterprises are investigated. A thorough analysis and generalization of current methodical approaches to evaluating the efficiency of the use of fixed capital by the enterprise is carried out. The basic criteria of evaluating the efficiency of use of fixed capital by mechanical engineering enterprises are determined. The author’s concept of the modern methodology for evaluating the efficiency of the use of fixed assets by mechanical engineering enterprises is presented graphically, including: object, subject, goals and objectives, principles and functions, methods and criteria for evaluating the efficiency of the use of fixed capital by mechanical engineering enterprises. The purpose and tasks of further scientific research are substantiated, which consist in the practical use of the proposed methodology for real evaluation of the efficiency of the use of fixed assets of the operating mechanical engineering enterprises and their forecasting in order to ensure their strategic development.
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Khalin, Y. A., Y. A. Kriushina, S. A. Zinkin, and A. A. Shilin. "Method for Assessing and Forecasting Economic Risks of an Enterprise Based on Data Mining." Proceedings of the Southwest State University 26, no. 4 (2023): 148–61. http://dx.doi.org/10.21869/2223-1560-2022-26-4-148-161.
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Purpose of research. The main purpose of this work is to improve the quality and efficiency of managerial decisionmaking based on the development of a method for assessing and forecasting economic risks of an enterprise. This method is based on data mining technology.Methods. The paper uses methods of panel data processing and analysis, for which a mathematical model for predicting the level of competitiveness of an enterprise was built, as well as a model for predicting economic risks of an enterprise based on combining several methods of data mining: clustering of merging panel data for assessing economic risks of an enterprise and the method of merging fuzzy correlation for statistical analysis of panel data.Results. As a result of the application of the developed method, quantitative assessments of the level of competitiveness and economic risks of the enterprise were obtained. Based on the obtained quantitative assessments of the level of competitiveness and the level of economic risk, a cluster analysis of enterprises in some industry was carried out. The developed methods have high accuracy in predicting economic risks of enterprises, improve the capabilities of data mining and combining information about economic risks of enterprises, which increases the competitiveness of enterprises.Conclusion. A method of forecasting economic risks of an enterprise based on data mining technology has been developed. Weighted estimates of spatial features of panel data were obtained, which allow to obtain integral estimates of the economic risks of the enterprise and the level of competitiveness of the enterprise. A model for the analysis of fuzzy rules of semantic features of panel intelligent data analysis of the assessment of economic risks of the enterprise is proposed. The analysis shows that the developed method has high accuracy and better protection against interference when predicting data.
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KOVALENKO, Oleksandr, and Olena STANISLAVYK. "Technological aspects of evaluation of enterprise efficiency." Economics. Finances. Law, no. 10 (October 26, 2020): 27–31. http://dx.doi.org/10.37634/efp.2020.10.5.
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Introduction. In today's market conditions, due to the emergence of new private small and large enterprises, evaluation, forecasting and planning of activities become extremely necessary, especially in markets with high competition. To do this, the company must have formed a relevant system for evaluating the effectiveness of its activities. The purpose of this paper is to study the technological aspects of evaluation of enterprise efficiency. Results. The system of evaluating the effectiveness of the enterprise, starting with planning and strategy development is considered. The indicator "economic and technological level of technology" is characterized and the key indicators of efficiency are marked. Among the indicators and indexes are: technological productivity, value added, number of employees, annual capital expenditures on technology, levels of production and commercial development of the enterprise, labor productivity index, indicators of actual economic and financial efficiency of economic activity of enterprises. Important aspects of the activity of controlling structures at the enterprise, which ensure the diagnostics of processes, coordination and control of the implementation of approved plans, as well as evaluation of the efficiency of the enterprise, are highlighted. The role of the controlling system for improving the quality of management processes is noted. Features of resource flow management are highlighted. Conclusion. Thus, the scheme of implementation of the diagnostics technology and, accordingly, evaluation of the enterprise efficiency is considered, which is combined with general scheme of the management cycle. The results of the implementation of this technology are used for the choice of decisions about initiation of organizational changes and modification of management models, used for the adjustment of purposes and planning the enterprise activities. The system of indicators and key indexes, and the cause-and-effect relationships between them, is developed and adjusted in accordance with the established purposes and requirements for diagnostics and, accordingly, evaluation of effectiveness of the main and auxiliary processes at the enterprise. Common problematic situations in enterprise management are situations of resource deficit and surplus due to the asynchronous nature of their flows. The resource flow management process is focused on the timely execution of the portfolio of consumer orders. When creating a controlling system at the enterprise, technologies and diagnostic tools and, accordingly, evaluating the effectiveness of its activities and managing the resource flows should be interconnected with the methods of coordination and regulation.
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Niyozov, N. N., B. Kh Rikhsitillaev, D. A. Jalilova, and P. M. Kuatbaev. "Forecasting of electricity consumption by industrial enterprises with a continuous nature of production based on the principal component method (PCA)." E3S Web of Conferences 384 (2023): 01031. http://dx.doi.org/10.1051/e3sconf/202338401031.
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Forecasting the consumption of electrical energy is important to improve its efficiency and, as a result, to improve the competitiveness of manufactured products by reducing the share of electricity costs in the cost of production. When determining the forecast indicators of electricity consumption by industrial enterprises, it is advisable to use modern high-precision forecasting methods that ensure the minimum value of the forecast error. Each enterprise must preliminarily determine, with the greatest possible accuracy, the amount and schedule of electricity consumption and then strictly adhere to them, thereby minimizing penalties and fines. The article deals with the issues of forecasting power consumption by industrial enterprises (on the example of a metallurgical enterprise) using the enlarged block diagram of the algorithm for predicting power consumption by the method of principal components (PCA) developed by the authors. Comparisons of the actual and predicted power consumption according to the developed model are made. The adequacy of the model is confirmed by small discrepancies between the actual and forecast data. This allows it to be used in determining the predicted values of power consumption parameters at ferrous metallurgy enterprises.
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Sheremet, A., and T. Bondar. "ENTERPRISE CROP CAPACITY MANAGEMENT BASED ON THE USE OF FORECASTING MEANS." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 4 (2021): 161–66. http://dx.doi.org/10.21272/1817-9215.2021.4-19.
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The planning function is one of the basic management functions. Improving business planning is an extremely important task in a dynamic, heterogeneous and uncertain environment. Improving the planning function through the use of modern forecasting tools is of particular importance for agricultural enterprises, as many external factors of activity and development are stochastic and complex, related to natural conditions. Forecasting will increase the efficiency of the enterprise in the current period, as well as develop and implement long-term development plans. The purpose of the study is to determine and study the forecast indicators of enterprise crop capacity, study the degree of its dependence on factors of influence − the cost of fertilizers, average temperature, number of sunny days, rainfall and soil pH, and develop measures to improve management to increase enterprise productivity. A system approach, general scientific methods (analysis, synthesis, abstraction, specification), as well as forecasting methods using the tools of Microsoft Excel have been used in the research process. The results of the study are the development of measures to improve the planning of the enterprise on the basis of the cycle of forecast calculations of the selected management parameter − the crop capacity of the enterprise. Promising areas of further research are the development of productivity forecasts using other methods of mathematical statistics, construction of more complex mathematical models (eg, simulation models), justification of their practical application and dissemination of their use among other businesses at other levels of the economic system (regional, etc.). The results of the study can be implemented in the practice of agricultural enterprises, including the development of forecast models for other indicators of the object of management. The results of the study are also of social significance, as ensuring the success of agricultural enterprises solves food problems, environmental problems and more.
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Sungatullin, Rais G. "AUTOMATED ENTERPRISE MANAGEMENT SYSTEMS (ERP): ECONOMIC EFFICIENCY ANALYSIS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/2, no. 156 (2025): 40–49. https://doi.org/10.36871/ek.up.p.r.2025.03.02.005.
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The development of digital technologies increases the need for enterprises to integrate automated management systems (ERP) aimed at optimizing business processes and reducing operating costs. The implementation of ERP systems provides centralized control of resources, automation of accounting, management of financial flows and demand forecasting. The economic efficiency of these solutions is expressed in increased productivity, reduced transaction costs and improved supply chain management. The article analyzes investment costs for ERP implementation, sources of financing, key business benefits and possible risks. The prospects for the development of ERP systems are considered taking into account technological trends, including cloud computing, artificial intelligence and integration with the Internet of Things.
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Єпіфанова, І.М. "АНТИКРИЗОВИЙ МЕНЕДЖМЕНТ ЯК ІНСТРУМЕНТ ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА". Наукові записки Львівського університету бізнесу та права. Серія економічна. Серія юридична, № 31 (30 грудня 2021): 12–19. https://doi.org/10.5281/zenodo.5735025.
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The article highlights the importance of theoretical development of the use of crisis management to improve the enterprise's efficiency. The author substantiated the necessity of consideration of the crisis state at the enterprise as a consequence of an imbalance of the result of activity received by the enterprise and the resources spent on it in the conditions of the necessity of maintenance of stable development of the enterprise. The purpose of this article is to theoretically substantiate the importance of forming a holistic, proactive system of crisis management to improve the enterprise's efficiency in current conditions. The author determined that in the conditions of occurrence (or prediction) of crises, anti-crisis management is an effective process by which management influences the enterprise's activities to reduce the time and reduce the depth of the crisis and mitigate its negative consequences. The sources of crises at enterprises are analyzed and structured. It is shown that the efficiency of the enterprise, on the one hand, is one of the key tasks of sustainable performance of the enterprise, and on the other - it determines the nature and direction of spending resources to obtain a certain expected result. Therefore, efficiency is a valuable guideline for proactive crisis management is assess the potential for onset and overcome the effects of crises. It is determined that the system of anti-crisis management, focused on improving the efficiency of the enterprise, should help build a new model of strategic business through the implementation of important proactive actions in the enterprise. This orientation involves forecasting and controlled initiation of a turning point in the development of the enterprise, which as a result of anti-crisis measures, creates the basis for a new business model and at the same time eliminates the symptoms of the crisis. The effect of a well-conducted strategic revitalization is the revival and often the achievement of even better economic results than before the crisis.
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Manusov, V. Z., D. V. Antonenkov, D. V. Orlov, and B. V. Palagushkin. "Predictive management of enterprise power consumption based on the SINGULAR SPECTRUM ANALYSIS method using recurrent forecasting." Journal of Physics: Conference Series 2131, no. 3 (2021): 032113. http://dx.doi.org/10.1088/1742-6596/2131/3/032113.
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Abstract Modern energy strategies aimed at the development of energy industry presuppose a significant change in the structure of process of formation, transmission, consumption of electrical energy and increasing energy efficiency by introducing modern technologies at all stages. The growth of capacities of industrial enterprises in the conditions of wholesale market of electrical energy and capacity in the modern energy system determines the need for development technologies of predictive control of power consumption process of these enterprises. The introduction of such technologies at the control rooms of the operational management of enterprises will allow to reduce the number of human errors, the number of emergency stops of technological process, increase the reliability of power system mode, rationally manage the process of power consumption of enterprises. In this regard, forecasting the load demand and consumption is an important stage in the functioning and planning of modern power systems. An accurate, correctly compiled forecast is the key to effective management of energy consumption process and reliable operation of the enterprise. Forecasting errors lead to imbalanced supply-demand, which negatively affects operating costs, reliability and efficiency.
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Semenenko, Olena, and Oleksandr Doskach. "Commercial activities of the enterprise: analysis and evaluation system." University Economic Bulletin, no. 55 (December 29, 2022): 105–18. http://dx.doi.org/10.31470/2306-546x-2022-55-105-118.
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The article presents a structural model of the system of analysis and evaluation of the enterprise's commercial activity. The subject of the study is a set of theoretical and methodological principles and applied aspects of modeling the process of analysis and evaluation of the enterprise's commercial activity. The purpose of the work is to justify the structural model of analysis and evaluation of commercial activity on the example of a wholesale trade enterprise. The methodological basis of the article. To achieve the goal and solve the tasks set in the research, a complex of general scientific and applied research methods was used: the method of analysis and synthesis, modeling, analytical planning and forecasting, the rating method, economic and mathematical methods, statistical methods. Work results. The scientific-methodical principles and practical tools for organizing and conducting control, analysis and evaluation of commercial activity in the system of economic activity of enterprises have been summarized and systematized. A structural and logical model of the analysis and evaluation system of the enterprise's commercial activity has been developed. Based on the calculation of generalized indicators of the analysis and scenarios of the future development of the commercial activity of the wholesale trade enterprise, the conclusions and recommendations for increasing the efficiency of the commercial activity of this enterprise are substantiated. Field of application of results. The theoretical provisions presented in the article made it possible to formulate proposals of a scientific and practical nature regarding the application of the model of the system of analysis and evaluation of the commercial activity of enterprises in the process of optimizing their economic activity. Conclusions. The management of economic activity is inextricably linked with the system of commercial activity and with the system of its analysis and control, which makes it possible to assess the effectiveness of the commercial activity of the enterprise. The presented model of the system of analysis and assessment of commercial activity allows, on the basis of simple calculations, according to the proposed algorithm, to assess the state of commercial activity and directions for its optimization in the system of strategic planning and forecasting of enterprises.
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Леванова, А. А., and Е. В. Кочева. "Evaluation indicators and ways to improve the efficiency of the use of financial resources at e-commerce enterprises." Экономика и предпринимательство, no. 11(136) (February 27, 2022): 882–85. http://dx.doi.org/10.34925/eip.2021.11.136.177.
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В статье рассмотрены способы оценки эффективности использования финансовых ресурсов на предприятиях Интернет-торговли, выделены основные аспекты управления финансами предприятия: прогнозирование, планирование, налогообложение, страхование, самофинансирование, кредитование, система финансовой помощи, система амортизационных отчислений и др. The article considers the methods of assessing the effectiveness of the use of financial resources at e-commerce enterprises, highlights the main aspects of financial management of the enterprise: forecasting, planning, taxation, insurance, self-financing, lending, financial assistance system, depreciation system, etc.
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Бекбосынов, Куралбай. "ECONOMIC ESSENCE, INDICATORS OF MATERIAL INTENSITY AND METHODS OF THEIR DETERMINATION." MODERN SCIENCE AND RESEARCH 3, no. 2 (2024): 1061–65. https://doi.org/10.5281/zenodo.10694250.
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<em>The article examines the concept of material intensity of enterprises, the evolution of scientists' views on its content and structure. The results of generalization of theoretical positions are presented in the form of comparative tables. Analysis, assessment and forecasting of the material consumption indicator serve as a condition for the efficiency of the enterprise, help identify the economic potential of the enterprise and the possibility of its operational management. The material intensity indicator reflects the level of use of past (materialized) labor, therefore the clarity and accuracy of its definition is not only methodological, but also of great practical importance.</em>
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Onikienko, N., N. Petrukha, and G. Ryzhakova. "Scientific and applied components of a multicriteria system for assessing the innovative development of enterprises: imperatives of interaction between integrated structures." Ways to Improve Construction Efficiency 1, no. 52 (2023): 261–73. https://doi.org/10.32347/2707-501x.2023.52(1).261-273.
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In the modern context of globalization and rapid development of information technologies, localized production networks and regionally-functional business clusters are gaining increasing importance. These forms of economic organization allow enterprises to achieve high levels of efficiency and competitiveness through interaction, cooperation, and knowledge exchange among participants. The functioning of enterprises within such structures fosters innovation, optimization of production processes, cost reduction, and improved adaptability to changes in the market environment. The article examines models of enterprise functioning within localized production networks–intersectoral business clusters in the format of an agro-construction cluster. Clusters are presented as an implementation of a new model of innovative development for enterprises, which significantly enhances their performance through territorial concentration and cooperation. Theoretical and methodological prerequisites of models of cyclic territorial and chronological economic dynamics are analyzed, revealing the relationship between economic functionalities, as well as models for assessing and forecasting changes in the internal environment of enterprises within the cluster. Clusters, particularly the creation of an agro-construction cluster, are considered an effective organizational model that ensures synergy between agricultural and construction enterprises through the shared use of resources and innovative solutions. Economic and mathematical models are proposed to help determine the innovative development of enterprises: a model for optimizing the synergistic effect (linear programming, a regression analysis model for forecasting the synergistic effect, a multi-agent cluster modeling model, a network interaction model of companies within a cluster, evaluation, and forecasting changes in the internal environment of structural units (at the enterprise level), a dynamic programming model for long-term planning, and a model for evaluating and forecasting changes in the internal environment of structural units (at the enterprise level). Special attention is given to integrated enterprises within a territorial-production cluster using the example of the agro-construction cluster of PJSC "MHP," which contributes to expanding opportunities for innovative development through the implementation of new technologies and management practices.
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Іershova, Natalіa. "Accounting and analytical support of budgeting with the purpose of achieving its flexibility and performing a control function in the process of financial forecasting." FINANCIAL AND CREDIT SYSTEMS: PROSPECTS FOR DEVELOPMENT 4, no. 15 (2024): 43–52. https://doi.org/10.26565/2786-4995-2024-4-04.
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In conditions of global instability, the attention of leaders and senior management is focused on forecasting and planning, which expands the horizons of vision of possible prospects and risks. Budgeting is an element of forecasting and requires the use of accounting and analytical information from the company's accounting system. The purpose of the article is to improve accounting and analytical support for budgeting in order to achieve its flexibility and perform a control function in the financial planning process. The object of research is budgeting procedures. The dialectical method of cognition in interaction with the system approach, methods of expert assessment and questionnaires was chosen as the methodological basis of the research, which ensured a combination of developments in the field of accounting, economic analysis, control and budgeting for the needs of management. The article presents the results of a survey of heads and managers of enterprises regarding the goals of budgeting; a survey of enterprise accountants was conducted to determine best practices for forecasting and control based on budgeting. Priority tasks of budgeting, difficulties encountered in the process of its preparation and implementation are determined. Based on the processing of statistical information, the article provides an analysis of the gross operating income, elements of income and expenses of Ukrainian enterprises. The importance of income and expense analysis for budgeting purposes was confirmed by further survey results of enterprise accountants. A key observation in this study is that the overall performance of an enterprise will improve if budgeting is used correctly. For this purpose, the relationship between long-term plans and budgeting is presented. Systematized factors that must be taken into account when forecasting the company's budget. Methodological approaches to the organization of the budgeting process at the enterprise are presented, which ensure coordination in the budgeting process, flexibility with a focus on expectations. Of practical importance to managers and accountants are several ideas on how to achieve better integration between the accounting system and budgeting to improve the overall efficiency of the enterprise.
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Wiśniewski, Jerzy Witold. "Financial Liquidity and Debt Recovery Efficiency Forecasting in a Small Industrial Enterprise." Risks 10, no. 3 (2022): 66. http://dx.doi.org/10.3390/risks10030066.
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Rational small business management necessitates the development of a system for recording important internal information. Companies are obliged to collect statistical data that mainly serves fiscal needs. Exemplary use of such significant data entails financial liquidity (LIQt) and debt recovery efficiency (EVINDt) measures. This work presents constructions of such measures and the manner of their application when they accrue in the form of time series. Both these measures should remain in feedback. Feedback complicates the forecasting of each of the variables that make up this relationship. In the existing forecasting practice, forecasts of such variables have been estimated using empirical equations of a reduced-form model. Such forecasts—in the case of an econometric micromodel—exhibit synchronization properties. This paper presents an empirical system of interdependent equations describing the relationship between financial liquidity and debt collection efficiency. An econometric model was used to build forecasts for both of these characteristics in a small business. An iterative method of forecasting from structural-form equations was used, which guarantees synchronization of forecasts under feedback conditions. The current use of the reduced form of the model to build such forecasts results in divergent forecasts that are not useful in small business management. They can also lead to wrong decisions. In the case under consideration, the forecast value synchronization (convergence) was obtained after five to nine iterations. The more distant the forecasted period is, the greater the number of iterations required to synchronize the forecasts.
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Shevchenko, N. Yu, S. S. Turlakova, and O. V. Latysheva. "Corporate Information ERP and MES Systems in the Strategic Development and Improvement of the Operational Efficiency of Enterprises." Herald of the Economic Sciences of Ukraine, no. 2(43) (2022): 79–84. http://dx.doi.org/10.37405/1729-7206.2022.2(43).79-84.
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The relevance of the study of prospects for increasing operational efficiency and transformation of business processes of domestic industrial enterprises due to the implementation of corporate information ERP- and MES-systems is substantiated. It was determined that the key to a successful enterprise development strategy is to increase their operational efficiency through the digital transformation of production and other basic business processes. Digital transformation involves at least the implementation of ERP- and MES-systems for forecasting stocks of raw materials and materials, ensuring a smooth production process, timely fulfillment of orders, carrying out inventory of stocks; projecting the level of use of machines and equipment, planning repairs and terms of technical maintenance of equipment, optimization of supplier selection, drawing up budgets and controlling the expenditure of material and other resources, administration, control and monitoring of all enterprise processes. The implementation of such corporate information systems depends on the specifics of enterprises implementing ERP- and MES-systems. The need for constant monitoring of changes and offers of the corporate information systems industry to modern enterprises to track and implement the technological achievements of the leading players in the field of enterprise resource planning (MES and ERP) into the practice of functioning to ensure strategic development and increase operational efficiency is substantiated. A promising direction is the study of the dynamics of transformational processes of the own business processes of industrial enterprises thanks to programs and projects of increasing operational efficiency on the basis of ERP- and MES-systems.
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Huang, Zhengyan, Mingfei Zeng, Songyao Feng, and Junhao Song. "Grid Data Analysis and Load Forecasting Model Based on Federated Learning Technology and LSTM Algorithm." Journal of Computing and Information Technology 33, no. 1 (2025): 25–42. https://doi.org/10.20532/cit.2025.1005946.
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With the continuous improvement of the national economy, the development of power enterprises is gradually accelerating, and the popularity of smart grids is also increasing. The power grid data center contains a large amount of user data, and analyzing this data can help power companies predict the load of power plants, thereby improving the resource utilization efficiency of power enterprises. However, current load forecasting models still suffer from information leakage and inaccurate predictions during data transmission, storage, and analysis processes. To solve the above problems, this study uses federated learning technology to optimize the long short-term memory network algorithm and analyzes power grid data and load forecasting based on the optimized algorithm. This study first conducted comparative experiments on the optimized algorithm and found that the prediction accuracy of the optimized algorithm reached 94.5%, with a prediction time of only 1.2ms. The analysis of the data using a load forecasting model based on this algorithm showed that the data security of the model has been improved by 23.4%. After using this model, the power company's electricity resource utilization rate increased by 31.8% and operating costs decreased by 27.5%. The proposed power grid data analysis and load forecasting model can ensure the privacy of power grid data and improve prediction accuracy, thereby improving the power grid operation efficiency of power enterprises and optimizing enterprise resource allocation.
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Shinkevich, A. I., M. V. Voronin, and A. A. Lubnina. "MODELING THE EFFICIENCY OF THE USE OF FIXED ASSETS OF PETROCHEMICAL ENTERPRISES." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 24, no. 6 (2022): 114–20. http://dx.doi.org/10.37313/1990-5378-2022-24-6-114-120.
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Petrochemical industries are characterized by high capital costs and capital intensity, which is due to the multi-stage technology, the complexity of organizational structures and production processes, and the high costs of ensuring environmental efficiency and safety of production. In addition, many elements of the main production assets, including oil refining, ammonia synthesis, polyethylene production, are characterized by outdated bulky infrastructure and the involvement of large amounts of resources. Thus, when improving fixed production assets, it is necessary to take into account all the latest technologies and development concepts. Based on the foregoing, it follows that the emphasis is shifting from new construction towards reconstruction, modernization and technical re-equipment. The purpose of the article is to model the efficiency of using fixed assets of petrochemical enterprises using the example of Kazanorgsintez PJSC. Achieving this goal involves solving the following tasks: consideration of best practices in the modernization of production facilities; diagnosing the efficiency indicators of the use of fixed production assets of Kazanorgsintez PJSC; building a regression model for the efficiency of using fixed assets of PJSC Kazanorgsintez; forecasting trends in the use of the main production capacities for the future period. The article uses methods of descriptive statistics, applied methods of correlation-regression analysis and forecasting methods. The object of the study was the enterprise PJSC Kazanorgsintez, which is the largest petrochemical enterprise in Russia and Tatarstan, one of the largest manufacturers of high and low density polyethylene in Russia. The subject of the research is mathematical modeling of the effectiveness of the use of fixed assets of an enterprise. The results of the study will allow more targeted development of a set of measures to modernize the fixed assets of Kazanorgsintez PJSC.
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Neftissov, Alexandr, Andrii Biloshchytskyi, Yurii Andrashko, et al. "Evaluating the effectiveness of precision farming technologies in the activities of agricultural enterprises." Eastern-European Journal of Enterprise Technologies 1, no. 13 (127) (2024): 6–13. http://dx.doi.org/10.15587/1729-4061.2024.298478.
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This paper describes approaches to improving the efficiency of agricultural enterprises. It has been established that the use of technology transfer, in particular, precision farming technologies, makes it possible to enhance the efficiency of agricultural enterprises, in particular, to increase the yield of agricultural crops and, accordingly, to improve the profitability of enterprises. As an example, the activities of agricultural enterprises in the Republic of Kazakhstan were analyzed. The share of agricultural enterprises in the Republic of Kazakhstan that use elements of precision farming technology in their activities was determined. It was established that since 2019, the use of precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan has intensified. At the same time, from 60 to 75 % of enterprises already use elements of precision farming technologies in their activities. Using crop yield data for the past 32 years, estimates of the effectiveness of using precision farming technologies by agro-enterprises in the Republic of Kazakhstan were constructed based on forecasting yield indicators using the linear-weighted moving average method. The efficiency of using precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan in 2022 reached 8.46 %, and the average efficiency for the period 2019–2022 was 4.21 %. Therefore, the use of precision farming technologies makes it possible to improve the validity of decision-making in the management of an agricultural enterprise and to obtain a higher profit from the sale of produced agricultural products for any agricultural enterprise in the world. On average, the results allow us to estimate the possible profit of an agro-enterprise when growing agricultural crops in the case of using precision farming technology
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Zhao, Hui. "Enhancing Enterprise Efficiency through Cross-Domain Supply Chain Linkage Management." Proceedings of Business and Economic Studies 7, no. 4 (2024): 99–104. http://dx.doi.org/10.26689/pbes.v7i4.8063.
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In recent years, with the complexity and variability of international finance, debt, and geopolitical risks, the growth rate of domestic economic operations has slowed down. More enterprise groups are facing the transformation and upgrading from domestic leadership to internationalization, achieving revenue growth of nearly 10 billion yuan per year against the trend. The severe and complex internal and external environment has brought many challenges to the supply chain for enterprises. This article focuses on the goal of an “enterprise supply chain system focusing on value creation, strengthening system linkage, and improving overall chain efficiency,” aiming to find solutions to problems such as strong demand variability, frequent emergency needs, coexistence of project shortages and inventory surplus, long material turnover cycles, and high organizational complexity. By searching for key activities in the entire business chain of demand, design, production, service, and finance, implementing source planning, process control, system linkage, analysis and summary, and team collaboration, we have achieved more scientific demand forecasting, more accurate planning, more effective procurement cost reduction, more stable production performance supply, more convenient inventory sharing services, and more efficient integration of business and financial policies.
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Savchuk, Vasyl, and Mykhailo Sobchenko. "METHODOLOGICAL APPROACHES TO RESEARCHING THE PROVISION OF FINANCING FOR THE DEVELOPMENT OF AGRICULTURAL ENTERPRISES." Collection of scientific research papers State University of Infrastructure and Technologies Section “Economics and Management”, no. 57 (April 10, 2025): 34–43. https://doi.org/10.32703/2664-2964-2025-57-34-43.
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Agricultural enterprises in Ukraine play a crucial role in ensuring the country's food security and economic development. However, the current conditions of the agricultural sector are characterized by high uncertainty caused by economic, social, and political factors. In such circumstances, researching methodological approaches to providingfinancing for the development of agricultural enterprises becomes particularly relevant. Analytical and forecasting support for financing agricultural enterprises includes a set of methods and tools used to assess the financial condition of the enterprise, forecast its development, and make effective management decisions. This support aims to optimize the use of financial resources, minimize risks, and ensure sustainable development of the enterprise. The application of these methodological approaches allows enterprises to adapt to changes in the financial environment and ensure sustainable development. They help identify and eliminate weaknesses in the financial structure of the enterprise, optimize the use of available resources and attract additional financial resources to support development.Analytical and forecasting support allows agricultural enterprises to make informed management decisions, increase resource use efficiency, and ensure financial stability. The use of modern technologies contributes to the automation of processes and the transparency of data, which is important for attracting investments and ensuring the competitiveness of the enterprise.Researching methodological approaches to providing financing for the development of agricultural enterprises in modern conditions allows for consideration of economic instability, changes in the regulatory environment, technological innovations, and social factors affecting the activities of enterprises. The development and implementation of effectivefinancing methodologies will contribute to the sustainable development of the agricultural sector and enhance its competitiveness.
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Akhundov, Vidadi J., and Ilham S. Rustamov. "Determining the estimated machine time and efficiency of equipment at an oil and gas enterprise under conditions of information uncertainty." Nafta-Gaz 80, no. 10 (2024): 607–14. http://dx.doi.org/10.18668/ng.2024.10.01.
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One of the main conditions for long-term forecasting of equipment requirements is to ensure the maximum level of equipment utilization, which characterizes production efficiency. In line with this condition, production in drilling departments must be organized to achieve an optimal volume that maximizes equipment productivity. In other words, it is necessary to determine the functional relationship between changes in the amount of equipment involved in the production process and its productivity. Following this, it is necessary to determine the optimal amount of equipment for the enterprise to maximize its productivity. The primary goal is to identify the negative and positive consequences of changes in the production scale. This article examines the solution to the above issues using the example of SOCAR (State Oil Company of the Azerbaijan Republic). To adequately address this problem, a procedure for determining the estimated machine time for each drilling equipment at the enterprise level is proposed, using the “Annual drilling calendar balance” report from the SOCAR enterprise, Azerbaijan. It is known that as the drilling depth of a well increases, so do the labor costs associated with drilling. To solve this problem, the research examines the functional dependency of the amount of drilling equipment on its productivity. This study led to the development of a mathematical-statistical model to predict productive time based on drilling depth. The scientific innovations proposed in this article are presented with calculations, based on the example of the SOCAR drilling enterprise, offering practical insights. The results of the study can be applied when justifying production plans and forecasting future equipment and spare parts requirements for drilling enterprises.
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Alexander, Bradul, Varava Larysa, Turylo Anatolii, Dashko Iryna, and Varava Andrii. "Forecasting the effectiveness of the enterprise to intensify innovation and investment development, taking into account the financial component of economic potential." Eastern-European Journal of Enterprise Technologies 4, no. 13 (112) (2021): 89–100. https://doi.org/10.15587/1729-4061.2021.239249.
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The study is devoted to the problem of analysis and forecasting of the effectiveness of the results of enterprises to ensure production and economic reserves to intensify innovation and investment development in the context of monitoring the state of their economic potential. It is the basis for the formation of endogenous and exogenous capabilities of the enterprise, aimed at achieving targeted results in each area of its activities. Creating favorable conditions for economic growth of enterprises based on the intensification of innovation and investment development requires the effective implementation of production programs using the financial component of economic potential. Based on the analysis of methodological tools for evaluating the activities of a mining and processing enterprise, formed a comprehensive methodology for quantitative and qualitative assessment of actual and projected values of performance indicators of the enterprise. It is based on determining the statistical probability of achieving a positive level of the indicator, the probability of its falling into a given interval of deviation from the recommended allowable values and an integrated assessment of the financial component of economic potential. Approbation of the developed technique is carried out within the limits of the express analysis of effective indicators of efficiency of activity of mining and processing enterprises. The results showed that with high reliability of the forecast (more than 0.85), the recommended values of the level of margin to achieve the desired efficiency are in the range of 8÷10 %. Within a sufficient level of reliability of the forecast (not less than 0.75), the recommended values of this margin are 10÷24 %. In this case, the integrated indicator of the assessment of the financial component should be more than 0.3
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Tvoronovych, Viktoriya, and Serhii Mytyura. "FEATURES OF THE EFFICIENCY OF ENTERPRISE PERSONNEL MANAGEMENT." Collection of scientific research papers State University of Infrastructure and Technologies Section “Economics and Management”, no. 57 (April 10, 2025): 78–85. https://doi.org/10.32703/2664-2964-2025-57-78-85.
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This scientific article is dedicated to a comprehensive analysis of theoretical approaches to the formation of a personnel development strategy as a strategic resource of an enterprise. The author considers personnel effectiveness not only as the individual productivity of employees but as a complex concept encompassing the economic, social, and organizational components of the enterprise's activities. The article provides a comparative analysis of the views of Ukrainian scientists on the definition of personnel effectiveness and outlines key criteria for its evaluation –from the rational use of labor potential to the level of employee satisfaction and the functioning of the internal communication system.Particular attention is paid to methods of strategic personnel management, such as planning, forecasting, performance evaluation, recruitment, and systematic training. The role of modern tools such as assessment centers, coaching, reengineering, and HR consulting in enhancing the competitiveness of organizations is revealed. The importance of forming an internal corporate culture that promotes the development of initiative, creativity, and innovative thinking among employees is emphasized. A key element for increasing the competitiveness of an enterprise is the effective management of its employees. It is human capital that is decisive in the ability of an organization to adapt to the changing external world. The application of modern approaches to personnel management is crucial for ensuring the stable development of the enterprise and its competitive advantages.The article argues that an effective personnel development strategy should be dynamic, adapted to the challenges of the external environment, and integrated into the overall strategy of the enterprise. The research results can be useful for specialists in the field of HR management, business leaders, and scientists engaged in the problems of strategic human resource management in the context of the modern economy.
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ILCHENKO, V.Yu., S. P. KOBETS, G.V. DZHEGUR, and V.Yu. BONDAR. "Estimation and forecasting of efficiency of management of innovative potential of the enterprise in the conditions of activization of foreign economic activity, globalization, migration crisis and financial and economic risks." Market Relations Development in Ukraine №2(249)2022 193 (June 3, 2022): 48–54. https://doi.org/10.5281/zenodo.6609899.
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Relevance of the research topic. Research into the issue of assessing and predicting the effectiveness of enterprise innovation potential management in conditions of increased foreign economic activity, globalization, migration crisis and financial and economic risks is caused by the lack of a single algorithm and model of the process. Formulation of the problem. The main prerequisites of low innovative activity of modern enterprises are inefficient management of innovation potential, lack of material motivation of competent and qualified personnel, shortage of material and technical resources required to organize the implementation of innovative development programs, partial financial support of programs. Especially these influences are shown in the conditions of intensification of foreign economic activity, globalization, migration crisis and financial and economic risks. The specified facts actualize the theme of the research. Setting the purpose and objectives of the study – to study the assessment and prediction of management efficiency of enterprise innovation potential in conditions of intensified foreign economic activity, globalization, migration crisis and financial and economic risks. Research method or methodology. The article uses the historical–logical method, the method of systematization, classification and theoretical generalization; the method of logical analysis and synthesis. Presentation of the main material (research results). It is proved that at the moment the majority of modern national enterprises has an insufficient level of potential for positive impact on efficiency, which requires its accumulation for effective return. It is proved that an important element of the proposed model of effective management of innovation potential of the enterprise is a system of evaluation of the result and relevant motivating measures for employees Field of application of results. The results of the study can be used in the practical activities of enterprises to improve the efficiency of their activities. Conclusions on the article. The article considers methodological approaches to the assessment and prediction of effectiveness of management of innovation potential of an enterprise. The results of experimental testing of the proposed method proved its analytical efficiency in assessing the level of innovation potential of the enterprise in conditions of increased foreign economic activity, globalization, migration crisis and financial and economic risks. The improved strategy for managing the innovation potential of modern national enterprises.
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Варченко, Ольга, Оксана Драган, and Вікторія Зубченко. "CONCEPTUAL BASES OF ENTERPRISE CASH FLOW MANAGEMENT." Via Economica, no. 8 (February 21, 2025): 7–12. https://doi.org/10.32782/2786-8559/2025-8-1.
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The article considers the theoretical principles of cash flow management of enterprises as a financial management key aspect. It is noted that effective management of financial resources is the key to the financial stability of the enterprise, its liquidity and strategic development. Existing scientific approaches to cash flow management are analyzed, in particular the concepts of foreign and domestic scientists. The authors define cash flows as a set of receipts and outflows of funds in the economic activity process that affect the enterprise financial stability. The cash flows classification by direction of movement, types of activity, occurrence time and relationship to cash reserves is considered. The main principles of cash flow management are determined, including forecasting, cost optimization, management of receivables and payables, the use of digital technologies and financing sources diversification. The main methods of cash flow management are described: budgeting, forecasting, liquidity analysis, financial modeling and the use of automated systems. A description of cash flow management models is provided, in particular the Miller-Orr, Baumol, coordination and discounted cash flow models. Key indicators for assessing the financial flows of an enterprise are determined: net cash flow, operating cash flow, liquidity, cash turnover, financial independence ratios and interest payment coverage. Strategic directions for increasing the efficiency of cash flow management are investigated, in particular the use of modern financial technologies (FinTech), credit policy optimization, cost reduction and currency risk management. The authors emphasize the importance of a comprehensive approach to financial management, which includes strategic planning, forecasting, debt control and the implementation of modern technologies. The conclusions emphasize the importance of effective cash flow management for ensuring the financial stability of an enterprise and its long-term competitiveness. Directions for further research are proposed, in particular, the introduction of artificial intelligence into financial planning, analysis of the macroeconomic factors impact on cash flows, and research into the possibilities of integrating FinTech solutions into the financial strategy of enterprises.
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Senyk, Iryna. "PECULIARITIES OF DIAGNOSTICS APPLICATION AT THE STAGE OF STRATEGIC CHANGES IN THE ENTERPRISE'S ENVIRONMENT." Three Seas Economic Journal 6, no. 1 (2025): 64–68. https://doi.org/10.30525/2661-5150/2025-1-10.
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The article is aimed at defining the specifics, methodological approaches and directions for improving the processes of conducting economic diagnostics of an enterprise with due regard for strategic changes in the business environment. The subject of the study is the theoretical, methodological and practical aspects of economic diagnostics of enterprise. The study substantiates the organisational processes of diagnostics, reveals the importance of combining systemic and integrated approaches to conducting evaluation and analytical procedures, and reveals aspects of forming diagnostics of the enterprise's strategic development. Methodology. The theoretical and methodological basis for the study were the achievements of economic theory, works of domestic and foreign scientists, analysts, and specialists on diagnostics of strategic development of enterprises, improvement of the management system of an economic entity. The article uses the following methods: scientific cognition and abstraction (to determine the goals, significance, functions, tasks of enterprise diagnostics in the direction of ensuring the implementation of current and strategic development plans); methods of generalisation and system analysis (to determine the peculiarities of carrying out evaluation and analytical procedures for the objects of diagnostic research of an enterprise); methods of forecasting and analogies (to systematise the impact of the external business environment, trends in strategic changes on the development of strategic potential and, in general, on the financial and economic activities of an enterprise); methods of systematisation and logical generalisation (to formulate substantive conclusions from the study). Research conclusion. For domestic enterprises, it is important to ensure stable, targeted multi-vector development, which in terms of its substantive coverage involves changes in most areas of financial and economic activity, is planned and systematic. Ensuring these changes involves improving management tools, including diagnostics, planning and forecasting. At the stage of strategic changes in the business environment for the development of the enterprise, ensuring the efficiency of doing business, it is relevant to outline own conceptual approaches to diagnostics as an important management system. A clear definition of the goals and objectives of diagnostics, the formation of an appropriate programme and plans, and the improvement of the organisational stages of diagnostic procedures provide reliable and high-quality information for making informed management decisions and implementing the programme-targeted areas of the entity's development with the formation of a basic strategy.
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Kononenko, Zhanna А., and Inna G. Mykolenko. "Analytical Tools in Economic Studies of the Competitive Environment of Enterprise." PROBLEMS OF ECONOMY 2, no. 60 (2024): 136–42. http://dx.doi.org/10.32983/2222-0712-2024-2-136-142.
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This work is aimed at analyzing and highlighting the importance of using forecasting models in the study of the competitive environment of enterprise. Approaches to forecasting and modeling of the competitive environment of enterprise, which ensure the implementation of strategic planning and management, are studied. Various methods of forecasting are analyzed, which allow predicting future trends on the basis of available data. The key factors influencing the competitiveness of enterprise have been identified and their use for building a competitive model has been proposed. Forecasting requires a large amount of data and taking into account the versatility of the competitive environment. The use of several forecasting methods ensures high accuracy of predictions. No less important is the analysis of the impact of external factors on the activities of the enterprise, which allows you to quickly respond to changes. Forecasting is a dynamic process that requires constant updating and revision of results to maintain their relevance. Modeling of the competitive environment is based on the results of forecasting. The initial stage is to analyze the data and identify the key factors. Based on this, a model is built that reflects the interaction between these factors and allows you to evaluate the efficiency of different strategies. Models are subject to continuous evaluation and adjustment based on new data and changes in the environment, ensuring their adequacy and relevance. Particular attention is paid to the Irwin method, which is used to detect anomalies in data. This allows you to ensure high accuracy of the analysis and avoid the impact of random errors. On the basis of the carried out analysis, a table has been composed to systematize the directions of application of forecast models and methods in assessing the competitive environment of enterprise. It contains a brief description of forecasting methods and their characteristics, which contributes to a better understanding of the process and the choice of optimal approaches for specific situations. The importance of integrating forecasting and modeling to achieve effective enterprise management in a competitive environment is emphasized. The use of different methods and constant updating of models allow you to quickly adapt to changes, which is a key factor for success in today’s business environment.
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LAZORENKO, L., and M. NIKIFOROV. "Bankruptcy risk assessment of JSC Ukrtelecom." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 1-2 (March 31, 2023): 68–76. http://dx.doi.org/10.31767/nasoa.1-2-2023.08.
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The current stage of economic development requires enterprises to constantly improve the efficiency of activities and strengthen their positions. The introduction of a bankruptcy risk assessment system of any enterprise is an integral condition for its successful operation. The issue of applying appropriate methods and models for assessing the risk of bankruptcy of enterprises and developing ways to overcome or prevent them in order to improve the efficiency of enterprises is especially relevant in the current conditions. The purpose of the study is assessing the bankruptcy risk of JSC Ukrtelecom and determining the ways to overcome and prevent it. One of the most important methods of the early warning system and the method of forecasting the bankruptcy of enterprises is discriminant analysis. The most famous model of one-factor discriminant analysis is Beaver’s system. In the practice of financial and economic activities of western firms, the five-factor Altman model is widely used to assess the risk of bankruptcy. The possibility of overcoming and preventing the risk of bankruptcy should be considered in conceptual and practical contexts. Today, the sphere of telecommunication services is quite developed and is highly efficient. But some enterprises in this industry still need constant monitoring and improvement of activities, since due to high competition they become unprofitable due to the use of outdated technologies or lack of demand for services. One of these enterprises is JSC Ukrtelecom, which in 2022 is unprofitable. According to the assessment of the risk of bankruptcy of JSC Ukrtelecom by three models, it is low and amounts to 15–20%. it is advisable to implement the following measures: attracting additional funds to restore the profitability of the enterprise; restructuring of debt obligations of the enterprise; revision and change of the pricing policy of the enterprise; changing the range of services provided by the enterprise; improving the technological component of service provision.
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Gopalaswamy, Karthi. "Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 8, no. 1 (2025): 66–79. https://doi.org/10.60087/jaigs.v8i1.344.
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The integration of Artificial Intelligence (AI) in Enterprise Architecture (EA) is transforming cloud-based Salesforce solutions, driving significant advancements in sales and marketing optimization. AI-powered tools, such as predictive analytics, natural language processing, and machine learning, enhance decision-making, customer relationship management, and sales forecasting. This paper explores how AI-driven capabilities improve enterprise-wide data management, personalization, and automation within Salesforce platforms. By leveraging AI, businesses can streamline workflows, enhance customer engagement, and optimize marketing strategies. The study also discusses the challenges and best practices in integrating AI into EA, ensuring scalability, security, and compliance. The findings suggest that AI-enriched Salesforce solutions enable enterprises to gain a competitive edge by fostering efficiency and innovation in sales and marketing operations.
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Novichkova, Olga, Olga Tagirova, Alexey Nosov, and Marina Fedotova. "Forecasting the financial results of the agribusiness company." E3S Web of Conferences 222 (2020): 06016. http://dx.doi.org/10.1051/e3sconf/202022206016.
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Competent management of the company’s activities is largely determined by the ability to manage financial results, analyze the features of their formation, which ensures the effective functioning of the organization. Timely analysis allows to study development trends, deeply and systematically examine the factors of changes in activity results, justify plans and management decisions, monitor their implementation, identify reserves for improving the efficiency of economic activity, evaluate the results of the enterprise, and develop an economic strategy for its development. For commercial enterprises, the main criterion for performance assessment is the financial result. At the same time, not only the goals and objectives of the company are multiple, but also the methods used by specialists in planning of the financial results formation. The quality of management of financial results largely determines the effective operation of the company, the stable pace of its work and competitiveness in modern economic conditions.
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Arzhenovskiy, S. V. "Forecasting GDP Dynamics Based on the Bank of Russia’s Enterprise Monitoring Data." Financial Journal 16, no. 1 (2024): 31–44. http://dx.doi.org/10.31107/2075-1990-2024-1-31-44.
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The article is devoted to modeling and forecasting of the gross domestic product of Russia based on the data of enterprise survey conducted by the Bank of Russia. The purpose was to study the possibility of improving the efficiency and accuracy of GDP forecasting based on the use of these data. The authors used business climate indicators as well as balances of responses to questions about dynamics of output, demand, and prices. The methodology included regression analysis, as well as a combination of factor and regression analysis, both on aggregate data on all economic sectors and on data on individual economic branches. The forecasting results for two control samples containing actual observations for the eight quarters of 2017–2018 and the five quarters of 2022–2023 suggested that the use of monitoring data improved forecasting accuracy compared to the ARIMA benchmark model. The lowest estimation errors were obtained for approaches combining factor and regression analysis on aggregate data for all economic sectors or the economy as a whole.
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Гільорме, Тетяна, Лілія Накашидзе, and Ірина Ляшенко. "THE MODEL FOR FORECASTING SALES OF ENERGY SUPPLY SYSTEMS BASED ON RENEWABLE ENERGY SOURCES." Mechanism of an economic regulation, no. 1(99) (March 10, 2023): 75–80. http://dx.doi.org/10.32782/mer.2023.99.12.
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Building an effective model for forecasting sales of products (works, services) allows enterprises to achieve the desired level of competitiveness. It is determined that the most relevant for industrial enterprises, engaged in the sale of energy supply systems based on renewable energy sources, are economic and mathematical methods that take into account the seasonality factor. The purpose of the article is to build a model for forecasting sales of energy supply systems based on renewable energy sources. The main research method is correlation and regression analysis. The article substantiates a model for forecasting the sale of energy supply systems to economic agents by industrial enterprises, which is based on determining the functional relationship between the seasonality factor (seasonal component, harmonic component of the model) and the objective function of ensuring an effective time sequence of management decisions/measures and which, unlike the existing ones, takes into account the duration of the seasonality factor, which increases the efficiency of management decisions by optimizing the time lag between their adoption and implementation. As a conclusion, the elasticity coefficient for energy saving costs in order to ensure the competitiveness of industrial enterprise products reaches 100 times the value.
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Flys, Viktor. "Planning and analysis of the efficiency of material resource utilization at the enterprise." Economic Analysis, no. 34(4) (2024): 548–56. https://doi.org/10.35774/econa2024.04.548.
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Introduction. The rational use of material resources plays a crucial role in reducing production costs and enhancing the competitiveness of enterprises, particularly in the industrial sector. Rising prices for raw materials, energy, and logistics services necessitate improvements in resource management mechanisms. Optimization of planning and analysis of material resource utilization contributes to increased efficiency of production processes, cost reduction, and improved financial performance of enterprises. Objective of the study. The objective of this study is to examine approaches to planning and analysing the efficiency of material resource utilization at enterprises, identify key factors for optimization, and develop recommendations for improving information and analytical support for managerial decision-making. Methodology. The study employs methods of economic analysis, technical and economic justification, a systemic approach, and modelling. The analysis of regulatory documents, statistical data, and operational results of cement industry enterprises allowed for the identification of key factors influencing the efficiency of material resource utilization. Results. The study identifies key challenges in material resource management at enterprises and outlines directions for their resolution. It has been proven that effective planning and analysis of material costs contribute to reducing production costs, improving financial stability, and ensuring sustainable enterprise development. The study proposes the integration of modern information systems into the material resource management process, which will allow for automation of control processes, minimization of losses, and enhancement of forecasting accuracy in resource needs.
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Bradul, Alexander, Larysa Varava, Anatolii Turylo, Iryna Dashko, and Andrii Varava. "Forecasting the effectiveness of the enterprise to intensify innovation and investment development, taking into account the financial component of economic potential." Eastern-European Journal of Enterprise Technologies 4, no. 13(112) (2021): 89–100. http://dx.doi.org/10.15587/1729-4061.2021.239249.
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The study is devoted to the problem of analysis and forecasting of the effectiveness of the results of enterprises to ensure production and economic reserves to intensify innovation and investment development in the context of monitoring the state of their economic potential. It is the basis for the formation of endogenous and exogenous capabilities of the enterprise, aimed at achieving targeted results in each area of its activities. Creating favorable conditions for economic growth of enterprises based on the intensification of innovation and investment development requires the effective implementation of production programs using the financial component of economic potential. Based on the analysis of methodological tools for evaluating the activities of a mining and processing enterprise, formed a comprehensive methodology for quantitative and qualitative assessment of actual and projected values of performance indicators of the enterprise. It is based on determining the statistical probability of achieving a positive level of the indicator, the probability of its falling into a given interval of deviation from the recommended allowable values and an integrated assessment of the financial component of economic potential. Approbation of the developed technique is carried out within the limits of the express analysis of effective indicators of efficiency of activity of mining and processing enterprises. The results showed that with high reliability of the forecast (more than 0.85), the recommended values of the level of margin to achieve the desired efficiency are in the range of 8÷10 %. Within a sufficient level of reliability of the forecast (not less than 0.75), the recommended values of this margin are 10÷24 %. In this case, the integrated indicator of the assessment of the financial component should be more than 0.3