The current stage of socio-economic development is focused on ensuring prosperity by meeting the goals and intensifying the practices of the 4th generation smart industry. The ways and methods of advancement are being scientifi cally researched and specifi ed, while at the same time revealing errors and weaknesses in the development so far, which are the potential for continuous increase of prosperity and sustainable production and consumption. From this point of view, the paper analyses and more accurately formulates the eff ects of smart industry 4.0 on the economy and society in a global sense. In the context of the new industry 5.0 development concept identifi es signifi cant progress in automation, robotization and digitization of imaginary processes supporting economic growth with obvious reserves and risks in the social fi eld, as well as in relation to sustainable development and climate strategies, especially in the environmental fi eld. In the article, the authors present the concept of models for intensifi cation and transition from the developed implementation model for Industry 4.0 to the environment and concepts of Industry 5.0. Priorities for the development and innovation of the fourth generation smart industry within the fi fth generation concept and possible synergy eff ects from human-robot-machine-environment cooperation, especially in the social fi eld and in ensuring the well-being of workers in industry, are formulated in more detail.

The aim of this paper is to propose improvements of the selected production process, which would contribute to its optimization and it is oriented on very important topics, which nowadays simulation and optimization surely are. Secondary goals of this paper are oriented on the introduction of simulation software Plant Simulation, because this software is one of the best software on the market and is widely used in practice. Practical application of the software is oriented on the production process of saw blades. Results of this work is the optimization of the production system in concrete conditions, which bring specific improvements in concrete case -increased pieces of final product, better utilization of production time and reduction of storage times to minimum.

This paper deals with the design of an automatic robotic assembly station with the aim of creating a new and more effi cient working environment in the production process on the assembly line and thus contributing to meeting customer requirements. The paper presents theoretical knowledge on innovations and on the innovation process. The introduction of an automated workplace will lead to a higher production line than it follows from evaluation of data collected over time. The result of the work is a proposal to create a new and more effi cient work environment.

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The current stage of production development is marked by the search for more exact models ensuring its sustainability. This is perceived mainly as a balance of socio-economic and environmental pillars of development activities. The basis for managing the sustainability of socio-economic development and the development of the organization today and in the near future is the assessment of the environmental performance of product systems related to their overall socio-economic value improving the quality of life. In order to simultaneously solve the issue of creating and protecting the environment and ensuring the commercial and economic sustainability of products, it is possible to use the international standard ISO 14045, designed on the basis of the standards for LCA -ISO 1404 and 14044. In relation to sustainable production, it is currently proving to be a very effective addition methodically by linking to the framework green growth indicators from the OBCD level and their integration into the innovation model for assessing the environmental performance and development sustainability of product systems. As part of our research, variants of possible transition paths in the development of a sustainable product were modeled in relation to its future environmental profile.

This article discusses a predictive quality management system that aims to eliminate repair technologies by exploiting the cognitive capability of manufacturing facilities in the manufacturing process. During production, deviations from the required quality parameters such as strip flatness, strip profile, and non-achievement of the required mechanical properties of dimensional variations occur, and their correction or correction requires repair technologies beyond the standard processes. The metallurgical process itself is energy and financially demanding. Repairing technologies represent added production costs and environmental burdens not only in the form of high-energy consumption but also in the production of harmful substances that have a negative impact on the environment. The production of solid dust impurities, the production of gaseous exhalations, high water consumption, environmental warming and water pollution, and the formation of slag ash are just a few negative aspects of metallurgical production. Steel producers make great efforts to achieve the required quality parameters and reduce the cost of repair technologies.