INDUSTRY 4.0 AND ARTIFICIAL INTELLIGENCE: INNOVATIVE SOLUTIONS IN MANUFACTURING PROCESSES

Аннотация

This article is devoted to the topic “Industry 4.0 and artificial intelligence: innovative solutions in manufacturing processes” and analyzes important aspects of digital transformation in the industry. The Industry 4.0 concept aims to improve efficiency by automating, digitizing and integrating production processes. Artificial intelligence (SI), on the other hand, plays an important role in data analysis, decision-making, and process optimization. The article also analyzes the role of Industry 4.0 and artificial intelligence in increasing competitiveness in the global economy, as well as the problems and opportunities in the implementation of these technologies. In turn, the article concludes with thoughts on how industrial enterprises can be developed in the future through digital transformation and innovative solutions. Keywords: big data, digital transformation, cloud computing, Cyber-Physical Systems, innovative solutions, global economy. Introduction. Industry 4.0 is a new step in digital transformation in manufacturing processes that includes IoT (Internet of Things), Big Data (big data), Cloud Computing, and Cyber-Physical Systems. In this new era, artificial intelligence (SI) plays an important role in optimizing production processes, improving efficiency, and reducing costs. Выпуск журнала №-19 Часть–3_ Февраль –2025 637 MODERN EDUCATION AND DEVELOPMENT Internet of Things. IoT is a technology that allows physical objects and systems to connect and exchange information with each other over the internet. With IoT, real-time monitoring and control capabilities are created in production processes. For example, with the help of sensors, the working condition of machines, energy consumption and production processes can be observed [1]. This helps to identify problems in advance and find a quick solution to them. Big Data. Big data is the process of collecting, storing and analyzing large amounts of data. Within Industry 4.0, big data is used to identify, forecast and make decisions about trends in production processes. For example, manufacturers can optimize production to suit their requirements by analyzing feedback from customers to improve product quality. Cloud computing. Cloud computing technologies do not require a lot of resources in data storage and processing. This allows companies to expand their infrastructure and quickly implement new programs. With cloud services, businesses will be able to access data from anywhere, making it easier to cooperate and make quick decisions. Cyber-physical systems are the integration of software and hardware to control physical processes. They work in conjunction with IoT and big data, making production processes more efficient and automated. With cyber-physical systems, machines can interact, control each other, and solve problems. The role of artificial intelligence in production processes. Artificial intelligence offers a number of innovative solutions in optimizing production processes: With artificial intelligence, manufacturers can be more accurate in demand forecasting. The machines will help with production planning, anticipating future demand based on historical data [2]. This prevents over-production and reduces costs. With artificial intelligence, the quality control process can be automated. With the help of sensors, the quality indicators of products are monitored in real time, and if a problem is detected, an automatic warning is issued or the production process is stopped. This helps to improve quality and reduce emissions. Выпуск журнала №-19 Часть–3_ Февраль –2025 638 MODERN EDUCATION AND DEVELOPMENT It is possible to forecast maintenance using artificial intelligence. Machines can analyze their condition and predict when maintenance will be necessary. This reduces maintenance costs and improves the performance of the machines. The use of resources can be optimized using artificial intelligence. For example, by analyzing energy consumption, producers can reduce energy consumption and cut costs. It is also possible to increase production efficiency by minimizing the consumption of raw materials. Industry 4.0 and artificial intelligence play an important role in increasing competitiveness in the global economy. Through digital transformation, companies can optimize their processes and reduce costs. This will help increase their market share. Also, new jobs will be created through Industry 4.0. For example, the demand for highly qualified specialists will increase, since qualified personnel will be needed to introduce digital technologies [3]. There are a number of problems with the implementation of Industry 4.0: Many enterprises are working with old technologies, which can be an obstacle in the implementation of digital transformation. Major investments are required to upgrade the technological infrastructure. When working with IoT and Big Data, Data Security is an important issue. Businesses must take up-to-date security measures to protect da