International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The rapid advancement of Industry 4.0 technologies has significantly transformed manufacturing environments, necessitating the adoption of intelligent and scalable solutions. MESWARM is a modern platform designed to digitize and optimize manufacturing processes, offering industrial enterprises a means to enhance efficiency, reliability, and sustainability. By integrating traditional Manufacturing Execution System functionalities with cutting-edge technologies such as Artificial Intelligence and the Internet of Things, MESWARM provides a flexible, modular system tailored to specific production needs. It’s architecture and key functionalities are outlined, highlighting its core modules such as Configuration, Production Management, and IoT. The potential of future modules, including Service Management, Adaptive Logic, Energy Management, Document Management, and AI-driven analytics, is also explored. By leveraging real-time data collection and analysis through MQTT-based communication, MESWARM facilitates precise production monitoring and predictive maintenance, minimizing downtime and enhancing operational decision-making. Real-world implementations are examined, showcasing its impact on production efficiency and system scalability.

The Industry 4.0 revolution has significantly influenced the control of non-linear Multiple Input Multiple Output (MIMO) systems, particularly through the application of artificial neural networks (ANNs). This paper explores current trends in the control of non-linear MIMO objects, emphasizing the role of ANNs in enhancing performance and efficiency. Key developments, methodologies, and case studies are reviewed to illustrate the impact of ANNs on non-linear MIMO control

The intensity of technology development that we have witnessed in recent years has changed the expectations and attitudes of customers, as well as their understanding of value, and is becoming the new leading factor in the development of the industry. A retrospective of industrial production shows that all stages of change and development that it has gone through are stimulated precisely by the desire to meet the demand, expectations and needs of customers. In this sense, industrial enterprises around the world are clearly aware of the need for change. They should review their current production and sales strategies and focus their attention and efforts on building dynamic production models that will allow them to continue to operate successfully in a highly competitive market environment and changing customer requirements. Digitalization plays a key role in this new scenario in which industrial enterprises must fit in today. Digital technologies and the opportunities they create are the main driving force for the necessary radical change, which companies must rely on in order to increase their efficiency and, respectively, to maintain their competitiveness. This publication presents a conceptual model for assessing the digital maturity of the production system of the industrial enterprise.

Nowadays, the dynamics of technologies development, as well as continuously growing customers‟ requirements, put industrial enterprises from around the world before the necessity of rethinking old strategies and building new dynamic business models, in order to successfully continue operating in today‟s conditions of a highly competent market environment. The digitalization takes a key position in this new scenario, where modern industrial enterprises should fit. Digital technologies, as well as the opportunities they create, are the main moving power, which enterprises should stake upon, to successfully raise their own efficiency. One of the biggest threats caused by the digital transformation of operations is for the people to be replaced by the machines. The present paper offers a conceptual framework of a methodology for investigating the role of human factor in a digital manufacturing environment.

Industry analysts are predicting that the next decade of innovation, productivity and growth in manufacturing will be driven by the demand for mass customization and the convergence of technologies that will enable a new generation manufacturing IT platform for “smart manufacturing” which includes advances in connected factory automation, robotics, additive manufacturing, mobile, cloud, social, and digital 3D product definition. The new generation of smart machines for manufacturing will have on board computers that will directly support internet protocols and direct communication with enterprise applications. Cloud computing is one of the technology stacks of Smart manufacturing and a service delivery model that is opening new opportunities for manufacturers. This paper describes what is “Smart manufacturing” that goes beyond smart machines, Industrial Internet of Things (IIoT) and Industry 4.0 and explores how cloud computing can help achieve Smart Manufacturing goals to optimize processes inside the factory.