Articles

• 1

  Synergetic Effect of Innovative Competencies in Robotic Manufacturing

  Authors: A.R. Bestugin, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), Prof. Dr. (Tech.) 

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

  E.M. Il’inskaya, FSAEI HE SUAI, Prof. Dr. (Ec.), tempra_2001@mail.ru

  O.A. Bizina, FSAEI HE SUAI, Master, olgasnn@yandex.ru
  The prospects of using digital transformation tools in robotics, as well as threats and challenges, including in the organizational environment, are analyzed. The main tasks and problems that arise in robotic innovative enterprises are highlighted. A formula is proposed for calculating the synergetic effect in a flexible personnel system that combines human and artificial intelligence. The structure of the innovative competencies of a specialist and artificial intelligence and its calculation, taking into account the importance of the components, are presented. The importance of the system of innovative competencies in the concept of synergy of the innovation process by its types is shown. 

  DOI: 10.24412/1993-8780-2025-7-03-09

  
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• 2

  Evaluating the Work Quality of Optical Character Recognition Libraries

  Authors: A.P. Bobryshov, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), ap.bobryshov@mail.ru 

  S.V. Solenyy, FSAEI HE SUAI, Assoc. Prof. PhD (Tech.), ssv555ssv@yandex.ru 

  V.P. Kuz’menko, FSAEI HE SUAI, PhD (Tech.), mr.konnny@gmail.com
  The process of automation of verification of electrical control and measuring instruments implies the performance of instrumentation certification without full or partial participation of the operator, to a greater extent through the performance of operations by the instrumentation. With digital devices the speed of display and reproduction of the measured value is much higher than with analog-arrow devices, but in the case of automation and for devices without communication protocols with information systems the stage of fixation of values becomes much more complicated. The solution to this problem is the use of machine learning technology in the field of optical recognition. In this case, in the issue of recognition, recording and processing of results, the key parameters are speed, accuracy, complexity of adjustment and the proportion of recognized data. The purpose of this study is to study the existing technological methods of recognizing values from the screens of digital devices, evaluation and determination of the most optimal methods that provide the highest level of quality assurance automation of the process of verification of electrical control and measuring instruments.

  10.24412/1993-8780-2025-7-10-18

  
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• 3

  Organization of Production at Auxiliary Sites of Pulp and Paper Enterprises

  Authors: А.А. Berezina, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), anybaranova299751@yandex.ru 

  N.A. Zhil’nikova, FSAEI HE SUAI, Prof. Dr. (Tech.), n.zhilnikova@guap.ru 

  E.A. Minkinen, FSAEI HE SUAI, elizaveta_minkinen@mail.ru
  The article analyzes the existing methods of production process management, industrial and environmental safety in auxiliary and service industries of the pulp and paper industry. The main criteria that allow us to determine the structure and boundaries of complex water resource systems management and serve as a basis for assessing the efficiency of production process management are identified. Based on the results obtained, a methodology for organizing production in auxiliary and service areas of pulp and paper enterprises has been developed to solve environmental and industrial safety problems. The application of the proposed methodology significantly improves the operation of pulp and paper enterprises due to an integrated approach to water resources management based on system integration, specially adapted for auxiliary industries of the pulp and paper industry. This approach considers water resources as a key element for process optimization based on clearly defined management criteria.

  10.24412/1993-8780-2025-7-19-28

  
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• 4

  Comprehensive Аssessment of the Quality of Radioelectronic Products at the Declining Indicators Risk

  Authors: Yu.A. Antokhina, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), Prof. Dr. (Ec.), antoxina@guap.ru 

  E.A. Frolova, FSAEI HE SUAI, Assoc. Prof. Dr. (Tech.), frolovaelena@mail.ru 

  A.S. Tur, FSAEI HE SUAI, Liona1996@yandex.ru
  
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• 5

  Quality Management of the Production Systems in the Organizational Pathologies Conditions

  Authors: S.A. Nazarevich, FSAEI HE St. Petersburg State University of Aerospace Instrumentation, Assoc. Prof. PhD (Tech.), albus87@inbox.ru
  The interrelationships between organizational pathologies and production losses that affect the effectiveness of the value chain of organizational systems of manufacturing enterprises are investigated. The importance of creating a mechanism for managing organizational pathologies as a tool for managing the level of quality of organization of new production systems and their management structures is determined. The author notes that the distinctive novelty lies in the study of the impact of organizational pathologies on the occurrence, density, and significance of production losses in the main value creation chain, which are established and taken into account by the classical concept of Lean production.

  DOI: 10.24412/1993-8780-2025-7-33-37

  
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• 6

  Intelligent Maturity Models of Quality Management Processes

  Authors: A.G. Chunovkina, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), Dr. (Tech.), Senior Researcher, a.g.chunovkina@vniim.ru 

  A.P. Yastrebov, FSAEI HE SUAI, Prof. Dr. (Tech.), ap.guap@gmail.com 

  A.V. Chabanenko, FSAEI HE SUAI, Assoc. Prof. PhD (Tech.), a@chabanenko.ru 

  M.D. Rassykhaeva, FSAEI HE SUAI, rassmaria@guap.ru
  The constant complexity of production technologies, increasing product requirements and competition in the global market require organizations to continuously improve their quality management systems. In this context, the concept of maturity of quality management processes reflects an organization’s ability to consistently achieve set quality indicators, use resources efficiently, and adapt to changing environmental conditions. The authors discuss a comprehensive approach to building intelligent maturity models of quality management processes based on production monitoring data. Particular attention is paid to the theoretical foundations of the maturity concept, machine learning methods, the architecture of the intelligent maturity assessment system, the specifics of implementing and testing models in practice, as well as the prospects for the development of this area in the context of digital transformation of industry.

  DOI: 10.24412/1993-8780-2025-7-38-44

  
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• 7

  Models of Quality Indicators for Lean Production Systems

  Authors: S.А. Atroshenko, FSBIS Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences, Prof. Dr. (Phys.-Math.), satroshe@mail.ru

  L.I. Sedin, FSAEI HE St. Petersburg State University of Aerospace Instrumentation, leo.sedin@gmail.com
  The study examines the relationship between organizational dysfunctions, structural mismatches, and operational failures, and their impact on production losses that reduce the effectiveness of the value chain in manufacturing systems. The necessity of developing a mechanism to manage these issues is justified as a key tool for improving the design quality of new production structures and optimizing management systems. Emphasis is placed on minimizing process deviations, bottlenecks, and managerial defects that reduce operational efficiency, as well as ensuring alignment between strategic objectives and their practical implementation. The proposed approach reduces risks of systemic contradictions and lays the foundation for the sustainable development of enterprises in a dynamic market environment.

  DOI: 10.24412/1993-8780-2025-7-46-54

  
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• 8

  Development of a Reliability Management System for Enterprises of the Mechanical Engineering Industry

  Authors: A.V. Chabanenko, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), Assoc. Prof. PhD (Tech.), a@chabanenko.ru 

  A.O. Smirnov, FSAEI HE SUAI, Assoc. Prof. Dr. (Phys.-Math.), alsmir@guap.ru 

  T.I. Komarov, FSAEI HE SUAI, tim1kom@yandex.ru
  The article discusses the development of a reliability management system (RMS) for enterprises in the mechanical engineering industry based on the modernized calculation of the technical readiness coefficient. The proposed approach allows to increase the accuracy of equipment reliability assessment, reduce the influence of the human factor and reduce the costs of reliability monitoring and analysis. Comparative calculations of current and proposed costs for analysis are provided, the economic effects of the system implementation are shown, including a reduction in analysis time by 69 % and a reduction in costs by more than 87 thousand rubles per year. The implementation of the RMS is considered as a necessary element of increasing the efficiency of production and ensuring its sustainability in the context of growing demands for quality and safety.

  DOI: 10.24412/1993-8780-2025-7-55-59

  
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• 9

  Development of Indicators Process System for the Management System Digitalization

  Authors: A.A. Shashmurin, FSAEI HE St. Petersburg State University of Aerospace Instrumentation, shashmurin.anton@gmail.com
  The study examines challenges of digital transformation in manufacturing enterprises, including employee resistance and outdated infrastructure. A system of quantitative metrics is proposed for evaluating core and supporting processes, visualized through digital dashboards. The developed toolkit enhances decision-making quality, employee motivation, and operational control through data-driven approaches. The author notes that additional research is required to clarify the impact of the human factor when collecting data. Therefore, it is necessary to review existing specialized automated systems, make an appropriate selection of a suitable basis, and use the information technology integration unit to implement the processes of setting up and using electronic data collection forms.

  DOI: 10.24412/1993-8780-2025-7-60-64

  
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• 10

  Model for Assessing the Impact of the Product Degree Innovation on its Consumer Perception

  Authors: D.S. Shchukina, FSAEI HE St. Petersburg State University of Aerospace Instrumentation, shchukinadaria@guap.ru
  The problem of quantitative assessment of the impact of innovative characteristics of products on consumer perception of their quality is presented. An econometric model has been developed that integrates objective parameters of innovation (technological changes, functional improvements) and subjective markers of consumer assessment. The results revealed a nonlinear nature of the relationships, as well as differentiated significance of factors, which allows increasing the efficiency of managing the innovative development of enterprises. The study is based on a comprehensive methodological approach that integrates quantitative and qualitative analysis methods. A system of complementary indicators was used to assess the degree of product innovation, which includes both objective technical and economic parameters and subjective marketing indicators. 

  DOI: 10.24412/1993-8780-2025-7-65-70

  
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