Directions for Improving the Organization of Industrial Production Based on Big Data Tools
Автор: N.V. Barsegyan, A.I. Van
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Машиностроение и машиноведение
Статья в выпуске: 6 т.27, 2025 года.
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The relevance of the study of the issues of improving the organization of production based on big data technologies in industry is justified by the need to analyze a large amount of data, which helps to identify and eliminate “bottlenecks”, increase enterprise productivity, and generally modernize production. The study focuses on the definition of the concept and essence of Big Data; The interrelation of the concepts of industries 4.0 and 5.0 and the place of big data in them is revealed, determining that in industry 4.0 Big Data is one of the key technologies for decision-making along with the Internet of Things, artificial intelligence and machine learning, cloud computing and cyber-physical systems that are aimed at optimizing production, automation, designing digital counterparts, personalization. mass production, which ultimately leads to an increase in the efficiency of the production organization. In the development of industry 5.0, Big Data acquires a new role, and becomes a tool for developing hybrid intelligence, ensuring ethics and sustainability, and hyperpersonalization, which are also aimed at improving the organization of production, while considering ESG principles. The key areas of application of big data in production have been identified, contributing to the improvement of the organization of production, increasing the energy efficiency of equipment. Models and methods of using Big Data in the production of domestic machine-building enterprises are proposed. An integral index of production and technical efficiency is proposed, which makes it possible to assess the impact of big data technologies on the technological superiority of an enterprise, including components of equipment reliability, product quality, speed and accuracy of control. It is concluded that in the future, the use of big data technology may open up new opportunities in the field of organization and management of high-tech industries and production processes, ensuring the transition to the fifth neuro-technological mode of Industry 5.0.
Big data, big data, industry 4.0, industry 5.0, production organization, production optimization, digital twins, efficiency
Короткий адрес: https://sciup.org/148332852
IDR: 148332852 | УДК: 658.5 | DOI: 10.37313/1990-5378-2025-27-6-116-123