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Economic Analysis: Theory and Practice
 

A model to optimize the structure of enterprise's fixed assets in conditions of digital transformation

Vol. 20, Iss. 2, FEBRUARY 2021

Received: 25 August 2020

Received in revised form: 20 September 2020

Accepted: 22 October 2020

Available online: 26 February 2021

Subject Heading: MATHEMATICAL METHODS AND MODELS

JEL Classification: D24, L23

Pages: 357–378

https://doi.org/10.24891/ea.20.2.357

Georgii V. KOLESNIK Plekhanov Russian University of Economics (PRUE), Moscow, Russian Federation
Kolesnik.GV@rea.ru

https://orcid.org/0000-0003-0695-5038

Mikhail B. RYBAKOV AO Russian Helicopters, Moscow, Russian Federation
rybakovmb@gmail.com

https://orcid.org/0000-0001-8924-0366

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.

Keywords: fixed assets, fleet, multicriteria optimization, economic efficiency, reliability

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