The article examines the advantages and disadvantages of an algorithm used to determine the time interval for a monitored object to reach a specific vibration level for use in predictive maintenance in Industry 4.0. The studied algorithm will potentially predict how long before an object fails, helping to reduce downtime and maintain production flow
The paper reveals the essence of business scaling tools, which are considered as a set of interrelated technological, organizational and digital solutions. These tools are aimed at ensuring flexibility, efficiency and effectiveness in the process of expanding the activities of enterprises, especially when entering international markets. This includes, in particular, the use of digital platforms, ERP systems, cloud technologies, intelligent management systems, as well as demand forecasting and supply chain optimization models.
The article formulates the essence of the concept of "business model", substantiates its necessity, describes the common features of the business modeling with business planning. The main reasons for the rapid development of international electronic commerce are analyzed. A comparison of classic and digital business models is given. According to the results of the study, key trends in the growth of e-commerce in Ukraine were revealed. The main advantages and strategic priorities of developing a business model in the conditions of international e-commerce are determined.
Purpose – This study delves into the intricate challenges of digital transformation in business processes within the Industry 4.0 framework, emphasizing the significance of behavioural factors. The primary objective is to identify and dissect the critical determinants that influence the successful integration and utilization of advanced technologies. Moreover, the research explores how these technologies interact with corporate culture to drive improvements in business efficiency, productivity, and overall competitiveness in today's fast-evolving digital landscape.
The design of modern Cyber-Physical Systems (CPS) connects physical and digital realms from cloud systems to edge devices. Microservice architecture has been widely used for IT solutions and emerges as a promising approach for supporting CPS that are more efficient, adaptable, and interconnected. However, there is an increasing need to improve the availability, reliability, and resilience of microservice systems according to the needs. This paper summarizes the challenges and drawbacks of microservice architecture used for CPS.
The article develops an intelligent system of analysis and neural network forecasting of battery charge consumption for automated vehicles (AGVs). For this purpose, the types of AGV and the methods of effective forecasting of their battery charge consumption were analyzed. It is established that they are based on optimal robot control processes; application of technologies to increase capacity and extend service life.
Experts considered the concept of the essence of "Industry 4.0" under European integration conditions. The problems, prospects, threats, and possibilities of processes of formation and further development of Industry 4.0 in Ukraine under the conditions of European integration are studied. The structure of approaches to the global interpretation of the "Industry 4.0" concept is given.
The relevance of the research is related to the importance of disclosing the success factors of industrialized countries. They skillfully use versatile forms and methods of struggle for leadership in the global economy for decades and even centuries. Leadership is aimed at ensuring a high level of welfare, guaranteed protection of the security and interests of citizens.
The paper presents a description of a distributed control system of processing complex, consisting of three stages with a predictive diagnosis of sensors and actuators. Innovative methods of multi-agent control re focused on as one of the CPS concepts to improve the relation between different stages of enrichment equipment and their coordination.
The paper presents a brief description of engineering and scientific problems which arise at the steel plant PJSC “ArcelorMittal Kryvyi Rih” when organizing a repair workshop to fix industrial equipment.
The attention is paid to innovative methods of repair process based on intelligent agents and Industry 4.0 principles.