Aug 2026· Occupational Safety in Industry· pp. 28-34· 0 citations
Abstract
The goal of the study is the systematization and substantiation of prioritized areas of business process digitalization at metallurgical enterprises, implementation of which will help reduce accident rate, industrial injury rate, and improve industrial safety level in accordance with the requirements of the Federal Law № 116-FZ “On industrial safety of hazardous production facilities” and the rules of Rostechnadzor. Theoretical approaches to ensuring industrial safety in conditions of digital transformation have been considered. Specific threats emerging during the implementation of digital technologies have been identified. Based on the analysis of the most common accidents, criteria of business process prioritization from the perspective of their impact on industrial safety are proposed. A conceptual model of digitalization efficiency assessment, including a system of direct and indirect indicators, has been developed. The scientific innovation is the systematization of risks posed by digitalization to the safety of the metallurgical industry and the substantiation of an approach to ranking by the degree of impact on the accident rate and injury rate of operational processes. The practical significance of the results is the possibility of their use by industrial safety services, occupational safety departments, IT departments, and chief engineers of enterprises of the metallurgical industry.
New digital technologies are significantly changing the way production systems of industrial enterprises function. At the same time, for Russian industrial enterprises, the transition to the principles of Industry 4.0 is one of the most important conditions for maintaining competitiveness. However, the digital transformation of the industry is fraught with serious challenges and risks. The article examines the phenomenon of digital transformation of industrial enterprises in the context of the fourth industrial revolution. The key drivers of digital technology adoption are analyzed, including the personnel crisis, geopolitical instability, and the need to improve operational efficiency. The article examines the opportunities that digitalization opens up for industrial enterprises, including increased productivity, cost optimization, and the emergence of new business models. The article focuses on systemic risks and barriers, such as cyber threats, compatibility issues, lack of competencies, and scaling difficulties for pilot projects. Based on the analysis of practical cases, recommendations for effective management of digital transformation in industry are formulated. The article may be of interest to heads of industrial enterprises, strategic planners, and representatives of government agencies involved in improving industrial development.
Nikita Titov· EKONOMIKA I UPRAVLENIE: PROB...· 0 citations
The article examines the theoretical and methodological foundations and practical approaches to the formation of an integrated system for assessing the economic security of an enterprise, taking into account the specifics of production and technological risks in the context of digital transformation. The article substantiates the position that the process of digitalization of production systems and business processes simultaneously acts as a factor in strengthening traditional threats to economic security and a source of new risks associated with cyber threats, dependence on critical digital infrastructure, data degradation, technological gaps, loss of control over key processes and transformation of the structure of production risks. The work systematizes the main groups of risks that arise/increase during the digital transformation. A conceptual model for the formation of an assessment system is proposed, which includes: a multi-level hierarchy of indicators (financial and economic, industrial and technological, information and digital, personnel and organizational), integral and composite indexes, thresholds and risk zones, as well as dynamic monitoring mechanisms using predictive analytics tools, machine learning and decision support systems. The results obtained can serve as a methodological basis for the development of corporate economic security management systems in industrial enterprises implementing digital transformation programs, as well as for improving regulatory and methodological support in the field of risk-based management in the digital economy.
N. Lashkova· EKONOMIKA I UPRAVLENIE: PROB...· 0 citations
This article analyzes the relationship between the maturity of quality assurance processes and the operational characteristics of enterprise software development, including speed to market and the integrated level of technological risks. The significance of this issue is determined by the development of the domestic software engineering sector, whose volume reached 4.97 trillion rubles in 2024, growing by approximately 40%. Meanwhile, digital product quality issues remain systemic and continue to limit the industry's effectiveness. The objective of this study is to quantitatively interpret the relationships between maturity levels, as defined by the CMMI model, and metrics such as product launch cycle time and the defect rate of enterprise software solutions. The methodological framework utilizes a comparative analysis of practical cases, a summary of scientific publications, and a content analysis of analytical materials from international organizations, including reports from DORA, CISQ, and Gartner. Based on a comparison of scientific publications, industry reports, and corporate practices, the author proposes an evaluation model, according to which an increase in the maturity of QA processes from the initial level to the third can be accompanied by a reduction in the time to market of a product by 25–35%, while achieving higher levels of maturity potentially provides an acceleration of up to 62% with a reduction in the relative defect rate of up to 85%. Based on the identified patterns, a phased model for transforming quality assurance processes was developed, taking into account the specifics of the corporate segment and the operational characteristics of Russian customers. The findings have practical significance for management and technical roles responsible for software product development, as they enable a sound justification for investments in improving the maturity of testing and quality management processes.
Daniil Khudenko· International Journal Of Eng...· 0 citations
The article studies the theoretical and applied aspects of the impact of digital technologies on the transformation of the operational activities of industrial enterprises. It is established that the digitalization of production is gradually changing traditional approaches to the management of operational processes. It is substantiated that modern digital technologies form a new model of enterprise functioning. The article notes that due to global geopolitical tensions Ukrainian companies must adjust their operational activities. In this environment, companies must increase operational efficiency, develop flexibility, resilience and innovative operational capabilities in order to effectively cope with uncertain and rapidly changing risks based on the conflict situation. In such conditions, it is necessary to ensure the possibility of transforming the organization and conducting operational management using artificial intelligence, ensuring growth and creating the opportunity to work for the long term, taking into account the dynamism and variability of the external environment. A definition of the concept of “digital maturity of a manufacturing enterprise” is proposed, which, unlike existing approaches, is considered as an integral characteristic of the readiness of the operating system to use artificial intelligence technologies. Key areas of application of AI in production have been formed. The article considers the role of artificial intelligence in the transition from traditional manual control to intelligent decision support systems. Particular attention is paid to the practical application of AI. Three key areas of assessment of AI projects before implementation are identified. The feasibility of creating Centers of Excellence to ensure the competitiveness of the enterprise is proven. The developed matrix for assessing the relationship between data management maturity and the success of artificial intelligence implementation serves as a practical tool for assessing the impact of data management maturity on the success of artificial intelligence implementation.
O. Kakhovych, Yulia Kakhovych· Eastern Europe: Economy, Bus...· 0 citations
Industrial safety has become a major concern in modern manufacturing industries due to the increasing complexity of industrial processes, the use of hazardous materials, high operating temperatures, combustible gases, pressurized systems, and automated production facilities. Among various manufacturing sectors, steel industries are considered one of the most hazardous because of the presence of fire, explosion, toxic gas release, confined spaces, heavy material handling, molten metal operations, rotating machinery, and high-energy process equipment. Effective Process Safety Management (PSM) is therefore essential to identify potential hazards, assess associated risks, and implement appropriate preventive and protective measures to minimize the likelihood and consequences of major industrial accidents.
The primary objective of this research is to develop an Integrated Process Safety Management (PSM) Framework for systematic hazard identification, risk assessment, consequence analysis, and risk mitigation in steel manufacturing industries. The proposed framework integrates internationally accepted process safety principles with practical industrial safety methodologies to establish a structured approach for managing process-related hazards. The study emphasizes proactive risk management by identifying hazardous scenarios, evaluating the probability and severity of potential incidents, and recommending suitable engineering, administrative, and operational control measures for improving overall process safety performance.
The research incorporates multiple hazard analysis techniques, including Hazard Identification (HAZID), Process Hazard Analysis (PHA), Hazard Identification and Risk Assessment (HIRA), qualitative risk matrix methodology, consequence analysis, and risk evaluation to investigate various process units and operational activities. Hazards associated with fire, explosion, toxic gas release, confined space entry, work at height, material handling, rotating equipment, electrical systems, pressure vessels, and chemical handling are systematically identified and analyzed. Risk levels are determined by considering both the likelihood of occurrence and the severity of potential consequences, enabling the prioritization of critical hazards requiring immediate attention.
Furthermore, consequence analysis is carried out to evaluate the possible impact of major accident scenarios involving fire, explosion, and toxic releases. The study also proposes appropriate risk reduction strategies based on the hierarchy of controls, engineering modifications, preventive maintenance, standard operating procedures, permit-to-work systems, process monitoring, emergency preparedness, and personnel competency development. A qualitative risk matrix is utilized to classify identified hazards into high, medium, and low-risk categories. High-risk scenarios require immediate corrective actions and implementation of effective control measures, whereas medium-risk activities require continuous monitoring and risk reduction based on the As Low As Reasonably Practicable (ALARP) principle. Low-risk activities are considered acceptable under routine operational control and periodic safety review.
In addition to hazard analysis and risk evaluation, the proposed framework highlights the significance of continuous safety improvement through systematic safety audits, incident investigation, process safety performance indicators, emergency response planning, disaster management planning, safety training, and organizational safety culture. The integration of these Process Safety Management elements establishes a comprehensive safety management system capable of reducing process-related incidents, improving regulatory compliance, enhancing operational reliability, and supporting sustainable industrial development. The framework also provides practical guidance for implementing preventive safety measures throughout the operational lifecycle of steel manufacturing processes.
The findings of this study demonstrate that an integrated Process Safety Management approach significantly improves hazard control, strengthens decision-making in risk management, and enhances the effectiveness of consequence-based safety planning. The proposed framework serves as a practical decision-support tool for industrial safety professionals, plant managers, and process engineers in identifying critical hazards, evaluating operational risks, and implementing appropriate mitigation strategies. The methodology developed in this research is generic in nature and can be effectively adapted to other high-risk process industries, thereby contributing to safer industrial operations, improved organizational resilience, and sustainable process safety performance.
Raj Dhanyakumar Kale, Mohsin Khan and Dr. Neeta Ba· International Journal of Adv...· 0 citations
The relevance of the study is due to the fact that the radio-electronic industry is a key direction for the country's development, which directly affects the development of other industries. The development of radio electronics is a basic condition for ensuring national security, where the level of its scientific and production potential is directly proportional to the military-technical defense capability and sovereignty of the country in the context of global technological restrictions. The study of business process management in the radio-electronic industry is an important task that affects not only the economic potential of the radio-electronic industry and the development of the economic state of other industries, but also the provision of sustainable economic growth. The purpose of this work is to develop a management model to improve the efficiency of enterprises in the radio-electronic industry in accordance with the concept of sustainable development through the introduction of lean production into business process management. The methodological basis of the scientific work is formed by a comprehensive approach combining a retrospective analysis of the evolution of management models in the radio-electronic industry and the integration of the principles and instrumental-methodological apparatus of the lean production concept into the organizational and managerial contour of modern industrial enterprises in this industry. The use of the historical approach made it possible to identify key patterns and cyclical triggers for the development of the studied sector.
Natalya Keteova, Dmitry Polozov, N. Akatov· EKONOMIKA I UPRAVLENIE: PROB...· 0 citations
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