The economy is in a state of transformation into a new system, and it is quite realistic that economic entities will be under the influence of certain risky moments. The process of risk analysis and management should be considered by an enterprise as an integral part of enterprise management in extreme conditions of the economic development trajectory and be a guarantor of financial insurance. The goal of this study is the formation of a process approach in enterprise management—the creation of a universal risk management system based on the proposed risk management model to minimize the financial risks of an enterprise. We propose a risk management system that influences the forecasting of financial stability of an enterprise. To form the risk management system, we propose a model of an organisational system, the structural elements of which correspond to the principles of completeness, information capacity and consistency. We identified the diversity of direct and inverse relationships between factorial and productive characteristics, which indicates the complexity of the organisational system management process. The presence of “bottlenecks” in the implementation of expert systems tools was also noted. This was expressed in the difficulty of acquiring the knowledge necessary for the development of meaningful systems and structuring the knowledge gained in a form that is convenient for use. We used the method of qualitative modelling using the apparatus of weighted directed graphs. The study allowed us to formulate a list of factors that characterize the main activities of an enterprise in order to form a mathematical model of enterprise risk management. The developed predictive model is used to simulate extreme events and risks in the process of enterprise development, as one of the foundations of the enterprise management system in the conditions of economic transformation.
Performance results of Companies in territorial and industrial clusters of Russia in many ways determine the different level budgeting, including in particular regional ones, dramatically influencing the development of the social and cultural sectors of the region. Therefore, it's no coincidence that their efficiency in performance is in the focused attention of regional administration authorities. A number of external and internal factors influence the operating efficiency of the companies in regional clusters. Recently, a particularly strong influence on the final results of their work has a constant rise in prices for energy resources, suppressing the growing competitiveness of the products in the world markets. The article analyzes the dynamics of changes in the main indicators characterizing the efficiency of energy use of the large industrial company, forming the core of the petrochemical cluster in one of the Russian regions. The factors with the greatest impact on improving production energy efficiency have been identified. The perspectives to reduce energy consumption in the conditions of electricity and power market liberalization have been reviewed. It is shown, that the adaptation of the companies' activity in regional clusters to the changes in macroeconomic conditions of economic entities functioning, predetermine the necessity to address a whole range of fundamentally new methodological problems, methodic and organizational strategies to build their behavior in competitive electrical power market.
For the Russian economy, the most crucial prerequisite for its moving towards sustainable development would be strong improvement of performance of the domestic enterprises and production complexes. It is obvious that this issue should be addressed with due consideration of the special aspects relevant to social and economic growth of various Russian areas, along with creating a respective cluster-based infrastructure. Therefore, all arrangements aimed at performance efficiency improvement should be reconciled with the social and economic development strategies designed for a particular area, and should be well considered when working out strategic development plans for the regional industrial and territorial clusters, as well as particular enterprises and production plants. This paper includes an analysis of the dynamics pattern of the main indicators characterizing the energy use efficiency in regard to the largest enterprise forming the core of the petrochemical cluster in one of the Russian regions. The study furthermore shows the determined factors bringing the greatest impact on the production energy efficiency improvement. The authors also describe the prospects for production energy intensity reduction against the backdrop of the electric energy and power market liberalization, and explain how accommodation of the industrial clusters’ activities to the changes taking place in the macroeconomic environment for business entities may determine the need for addressing a whole range of fundamentally new issues of methodological, methodical and organizational nature, which are relevant to development of a cluster behaviour strategy in response to the competitive electric energy market.
The relevance of this work is determined by the fact that the issues of resource-saving technologies implementation in the model of open innovation have not been fully addressed yet and require further study and systematization of the determining factors, which is especially important on the back of the transition to a new technological pattern and the use of the emerging technological opportunity windows. The solution of the problems mentioned will reveal new opportunities for qualitative and quantitative growth of production systems by improving the innovation targeting in the field of resource saving and energy efficiency. The purpose of the article is to identify the functional dependence between the Networked Readiness Index and the emerging technological opportunity windows in order to improve the efficiency of resource-saving technologies in open innovation and production systems. The main research methods underlying the article include the method of description used to identify trends in the Networked Readiness Index across the globe, the correlation analysis method used to identify a close relationship between the Networked Readiness Index and indicators of state support granted to the innovations in production, and the regression analysis method used to build a regression model of the dependence between the resource-saving system and production indicators. The article touches upon the aspects of improving the resource-saving system efficiency in the framework of the open innovation model in the field of production. The correlation between the Networked Readiness Index and the indicators of the state institutions quality characterizing the level of innovation support provided to the industry across the world countries has been revealed, and the functional connection between the use of waste at petrochemical plants and the petrochemical products shipped has been proved using the emerging economies as an example. The materials of the article can be used in the development of strategies and programs aimed to improve the resource-saving system efficiency in petrochemical companies of developing countries, taking into account the emerging technological opportunity windows and technology readiness of the production for innovative transformations.
The article reveals the role of automation of the main systems of petrochemical production: technological processes, security systems, information management, and electrical equipment. The purpose of the article is to determine the main directions of automation in the petrochemical complex. Based on the study, it is shown how industrial automation affects gross national product growth by optimizing production and logistics operations, labor efficiency, increasing equipment productivity, improving research and development and product development. For example, if the cost of reconstruction is 2-6% of the total cost of a petrochemical enterprise, the resulting effect of automation is estimated at 15-30% of the increase in operational efficiency. It is concluded that integrated control automation systems regularly design, upgrade, and provide comprehensive support for the availability of complex technical systems throughout its life cycle.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.