Articles

• 1

  Transformation of Professions in the Labor Market According to Technological Development Concepts

  Authors: A.R. Bestugin, St. Petersburg State University of Aerospace Instrumentation (SUAI), Prof. Dr. (Tech.), fresguap@mail.ru 

  I.A. Kirshina, SUAI, Assoc. Prof. PhD (Ec.), ikirshina@mail.ru 

  E.M. Il’inskaya, SUAI, Prof. Dr. (Ec.), tempra_2001@mail.ru
  The transformation of in-demand professions, specialties, and the changing structure of professions under the influence of technological development is a complex process that affects all industries, albeit with varying degrees of intensity. As technological advancements have occurred, new professions have emerged, leading to the creation of new industries and activities. Some professions have disappeared, while others have undergone changes in their content, leading to the emergence of new specialties and subspecialties. In the article, the basic characteristics of technological development concepts are presented. The most in-demand professions and specialties are grouped in each concept. The dialectics of the competence-based approach are analyzed according to the stages of technological development.

  DOI: 10.24412/1993-8780-2026-1-03-08

  
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• 2

  On the Training and Integration of Metrological Engineers in the Digitalization Production Context

  Authors: S.M. Nikol’skiy, Tulamashzavod JSC, nikolsky.serge@yandex.ru
  The article discusses current issues of training metrological engineers in higher education institutions and their subsequent adaptation at machine-building enterprises in the context of the transition to Industry 4.0. The main challenges associated with the gap between the theoretical training of graduates and the practical requirements of modern production are analyzed. The key competences required by a modern metrological engineer have been identified, including knowledge of CAD systems, the ability to work with coordinate measuring machines and laser scanners, and an understanding of the principles of digital twins and big data analysis. A model of an integrated educational program is proposed that combines fundamental physical and mathematical training, in-depth study of GOST R ISO 9001–2015 and GOST ISO/IEC 17025:2019 series standards, as well as practice-oriented training based on competence centers and partner enterprises. Special attention is paid to the issues of mentoring and building a career trajectory for young specialists at the enterprise.

  DOI: 10.24412/1993-8780-2026-1-09-13

  
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• 3

  Role of Multi-Level Standardization in Ensuring Industrial Equipment Reliability

  Authors: N.V. Zavol’skova, Academy for Standardization, Metrology and Certification (Training), natasha_zav@mail.ru
  Modern industry places increased demands on product quality and the efficiency of production processes. In this context, ensuring the reliable and uninterrupted operation of industrial equipment becomes a top priority, as it determines the competitiveness of enterprises in the global market. The quality of equipment is also a crucial factor that affects the characteristics of the final product. Factors such as the final product’s compliance with established standards, its appearance, functionality, and durability depend on the accuracy, stability, and reliability of the equipment. The multi-functional nature of standards limits their adaptability to unique production conditions, requiring further development of requirements at the industry, enterprise, and design specification levels. In the article, various levels of regulatory documentation for ensuring the quality of process equipment are examined. Contradictions are analyzed, and current opportunities for interaction are presented.

  DOI: 10.24412/1993-8780-2026-1-14-16

  
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• 4

  Assessment of the Conditions for Fulfilling Product Life Cycle Contracts

  Authors: A.V. Kirov, Medialogia Company, glarbb@mail.ru
  One of the main tasks of the product life cycle management system is product quality management at the stages of the life cycle. The main component in this case is to determine the effectiveness of the product quality management system. At the moment, various methods have been developed for calculating the effectiveness of the product quality management system. It should be noted that such techniques are quite narrowly specialized and do not take into account the terms of life cycle contracts. The purpose of this work is to develop a methodological approach to assessing the conditions for fulfilling product life cycle contracts in order to fully assess the actual level of product quality. At the same time, the analysis of prices, deadlines and delivery volumes are important components in the assessment. The proposed methodology makes it possible to improve the quality of work performed and services provided, ensuring their compliance with established regulatory and contractual documents, and to ensure timely completion of work. In this regard, the developed methodology should be used in the overall assessment of the effectiveness of the quality management system within the framework of the concept of full product life cycle management. 

  DOI: 10.24412/1993-8780-2026-1-17-20

  
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• 5

  Development of an Automated Classifier of Measuring Instruments Based on Data of FSIS ARSHIN

  Authors: A.N. Pan’kov, Research Center for Applied Metrology — Rostest, Academy for Standardization, Metrology and Certification (Training), MIREA — Russian Technological University, PhD (Tech.), AndreyyNP@rostest.ru 

  A.A. Popov, Gazpromneft-ONPZ Company, Omsk State Technical University 

  I.S. Rodionova, MetrologyNet Company, Committee on Information Technology and Industrial Software
  The digital transformation of the metrology industry has caused an objective need to create a unified, consistent, and automated classifier of measuring instruments (MI). This article analyzes current regulatory documents on MI classification, in particular, the new GOST R 8.1030–2024. The fundamental feasibility and advantages of developing a classifier based on objective metrological traceability data contained in the ARSHIN Federal State Information System are substantiated. A methodology for automatically assigning classification criteria (measurement type, measured value, and dimensionality) is proposed based on an analysis of the MI type’s relationship to the state primary standards. It is demonstrated that this approach enables the creation of a dynamically updated, objective, and practice-oriented classifier suitable for integration into digital services and the automation of accreditation processes.

  DOI: 10.24412/1993-8780-2026-1-21-27

  
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• 6

  Simulation Modeling in Metrological Analysis and Synthesis of Control Methods

  Authors: S.B. Danilevich, Novosibirsk Branch of Academy for Standardization, Metrology and Certification (Training) (ASMS), Novosibirsk State Technical University, Dr. (Tech.), Senior Researcher, ser-danilevich@yandex.ru 

  K.P. Arsyutin, ASMS, kirillarsyutin@yandex.ru
  In the article, the influence of the volume of the inspected batch of serial products and measurement uncertainty in the inspection process on the quality control reliability indicators is examined. The results of calculating customer and manufacturer risks in sampling multiparameter inspection using the Monte Carlo simulation method are presented. The proposed approach allows for the calculation of both the most probable values of customer and manufacturer risks, as well as the confidence limits for these risks. This allows for the informed selection of the sample size (for random testing) and the establishment of measurement accuracy requirements during the inspection. 

  DOI: 10.24412/1993-8780-2026-1-28-31

  
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• 7

  Methodological Support for Assessing the Efficiency of Related Processes in Industry

  Authors: N.V. Barsegyan, Kazan National Research Technological University (KNRTU), Assoc. Prof. PhD (Ec.), n.v.barsegyan@yandex.ru 

  S.S. Kudryavtseva, KNRTU, Assoc. Prof. Dr. (Ec.), sveta516@yandex.ru 

  R.A. Khaliulin, KNRTU, rawil-mary@mail.ru
  The article is devoted to the development of methodological support for assessing the efficiency of related processes in industry. The relevance of studying the efficiency of related processes at industrial enterprises is associated with the actualization of value chains, in which, along with the efficiency indicators of the main production processes, close attention is paid to the related processes that accompany the implementation of the main processes at industrial enterprises. The purpose of the article is to develop methodological support for assessing the efficiency of related processes in industry based on the component-factor model, the use of which allows reflecting and considering the contribution of related processes to the increase in gross added value in industry. Based on the results of the study, it is substantiated that the proposed methodology for assessing the efficiency of a process using component-factor analysis allows, firstly, to form a list of indicators that most fully characterize a certain related process; secondly, to determine the number of factors to which these indicators can be distributed; thirdly, to calculate the strength of the influence of performance indicators in a group of factors on the resulting performance indicator, for example, the formation of gross added value by process. The proposed methodology differs from existing ones, on the one hand, in its universality, since the algorithm for its use is applicable to all industrial enterprises and processes; on the other hand, in its targeting, since it makes it possible to form one’s own indicators and efficiency factors, on the basis of which decisions will be made to improve the organization and efficiency of management of a specific accompanying process, and to select the means and tools for its monitoring.

  DOI: 10.24412/1993-8780-2026-1-32-37

  
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• 8

  Predictive Analytics of Stochastic Factors in Medium-Term Production Planning

  Authors: S.A. Korolev, Bauman Moscow State Technical University, korolevsa@student.bmstu.ru
  This article develops an approach for the predictive analytics of stochastic factors in the medium-term planning of order-based mechanical engineering production. The study identifies key input parameters for planning and classifies them by their degree of uncertainty, focusing on those with strong stochasticity. The core problem addressed is the need to accurately estimate strongly stochastic parameters such as job labor intensity, spare parts demand, and equipment failure rates, given the limited historical data, which is typical for unique, low-repeatability order-based production. The research justifies the application of Generalized Additive Models for Location, Scale and Shape as a suitable tool. This approach allows for estimating not only the expected values but also the parameters of the probability distributions for these variables, enabling flexible risk management during planning. For each key stochastic factor, appropriate distribution families and sets of covariates are proposed. Labor intensity is modeled using the Beta distribution, spare part demand through a Weibull and subsequent Poisson — Weibull distribution, and equipment failure rates also via the Weibull distribution. The proposed predictive analytics models are computationally efficient, which allows to use it without a meaningful impact on the timing of planning process. The main limitation is the necessity of historical data, but the chosen model class is designed to work effectively with limited datasets. It is concluded that the proposed approach facilitates the creation of robust, risk-aware medium-term production plans.

  DOI: 10.24412/1993-8780-2026-1-38-43

  
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• 9

  Optimization of Energy Supply Processes at an Enterprise: Automated Systems

  Authors: R.N. Pigilova, Kazan State Power Engineering University, rozapigilova@yandex.ru
  Energy supply for industrial enterprises is one of the key tasks that affect the efficiency, sustainability, and competitiveness of production. Modern enterprises strive to minimize energy costs, improve energy supply reliability, and meet environmental requirements. To address these challenges, automated control systems are increasingly being used to optimize energy supply processes and provide real-time monitoring and control. This article examines the main objectives of energy supply systems, including generation, distribution, and control of energy consumption, as well as loss minimization. Particular attention is paid to the structure of automated systems and the benefits of their implementation. Examples of practical application, including smart grids and predictive algorithms, are described. Ways of solution to implementation challenges are proposed. 

  DOI: 10.24412/1993-8780-2026-1-44-47

  
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• 10

  Methodological Approaches to Solving Modern Technological Problems

  Authors: A.V. Leonov, Russian Academy of Rocket and Artillery Sciences (RARAS), Prof. Dr. (Ec.), alex.clein51@yandex.ru 

  A.Yu. Pronin, RARAS, Assoc. Prof. PhD (Tech.), pronin46@bk.ru
  In the current socio-economic conditions, improving the methodology for solving scientific and technical problems related to the creation of science-intensive products for various purposes in the Russian Federation is of particular importance. This requires the selection of appropriate methodological tools, including scientific approaches, principles, models, methods, algorithms, etc. This article examines methodological approaches to solving scientific problems in various fields of science (chemistry, physics, mathematics and mechanics, biology, geochemistry, etc). The structure of a generalized methodology is presented and its axiomatic description is provided. An ontological model has been developed that allows for a unified assessment of the methodological arsenal developed by great scientists. The proposed axiomatic approach is based on general scientific principles, is interdisciplinary, and can be applied in various fields of scientific endeavor.

  DOI: 10.24412/1993-8780-2026-1-48-57

  
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• 11

  Technologies for Capturing and Biorefining СО2 at Ferrous Metallurgy Enterprises

  Authors: O.P. Chernikova, Siberian State Industrial University, Assoc. Prof. PhD (Ec.), chernikovaop@yandex.ru
  For the ferrous metallurgy industry, the low-carbon development strategy is one of the most challenging due to the high energy intensity of production, the use of carbon as a raw material for technological processes, the capital intensity of enterprises, the long service life of assets, sales problems, low business profitability, and the lack of financial incentives for decarbonization. This article analyzes modern domestic and international technologies for capturing and biorefining carbon dioxide emissions. The potential for their use in ferrous metallurgy enterprises is substantiated. The research results can be used by metallurgical company management to formulate low-carbon business development strategies, make decisions on technological decarbonization of operations, and engage in commercial cooperation with the biogas processing sector.

  DOI: 10.24412/1993-8780-2026-1-58-63

  
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