Subject. The article addresses the enhancement of fixed assets utilization efficiency as one of priority tasks faced by modern machine-building enterprises.
Objectives. The purpose is to devise approaches and tools for solving the problems of optimization of industrial enterprises’ fixed assets development and use, on the basis of mathematical modeling.
Methods. The study employs methods of mathematical modeling of economic processes, the Markov chain theory, and the multicriteria optimization.
Results. We offer an approach to analyze the life cycle of enterprise’s fixed assets based on the theory of Markov chains. The paper presents a mathematical model of the fixed asset life cycle, formulates optimization tasks for fixed assets development, taking into account economic feasibility and reliability. Using the developed tools, it is possible to plan investing and operating activities for geographically distributed systems of enterprises, in particular, optimization of investment in production capacities development, planning their maintenance and repairs, load distribution between individual enterprises of the system.
Conclusions. The use of modern digital technologies that provide dynamic forecasting and optimization of fixed assets enables to achieve a number of improvements, including a reduction in production time and cost and increase in efficiently used production means.
Practical aspects of the functioning of the Russian economy in the field of production and consumption waste management are considered. The main problems inherent in the sphere of production and consumption waste management in Russia are identified. The principle of waste management of production and consumption, defined in foreign practice in the theory of management as 3R, is considered. The difference between the traditional «linear» model of economy and the closed-loop economy is shown. Some business strategies that can be supported by a closed-loop economy have been studied, namely, the «product as a service» strategy, which can be applied independently or combined with other technological solutions, and the «sharing» strategy. The conclusion is made about the need to develop digital solutions in the industry for processing production and consumption waste.
The problem of ensuring that the entire world population has access to energy sources is well known. One of the approaches to solving this problem is the formation of interstate power connections. This article focuses on how to measure the effectiveness of interstate power connection projects in terms of ensuring the sustainable development of countries and regions of the world. In the article, we develop a mathematical model of synergy effects driven by creating interstate power connection. The applicability of the model is demonstrated by the example of a prospective energy association of the Eurasian Economic Union.
Improving the efficiency of the use of fixed assets is one of the priority tasks facing modern machine-building enterprises. It is particularly relevant for spatially distributed holding structures that have emerged in the process of reforming the domestic machine-building complex and include enterprises that produce similar products and have similar types of production assets.
The purpose of the paper is to develop on the basis of mathematical modeling tools for solving problems of optimization of industrial enterprises’ fixed assets development and use.
An approach to optimize the fixed assets load in a spatially distributed production system is proposed. A mathematical model in the form of a linear programming production and transport optimization problem is formulated, which allows one to find optimal production capacity load modes in a wide range of conditions. The optimal regimes of this model are studied. It is shown that in certain cases the capacity use optimization can be the only way to ensure the timely fulfillment of the customers’ orders
The use of modern digital technologies that provide dynamic forecasting and optimization of the production capacity allows to achieve a number of improvements, including the production time and cost reduction and the growth in efficiently used production means.
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