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 article is to create a simulation model of specific production system in Plant Simulation environment. The main production program that we monitor in this article is focused on the production of tapered roller bearings. Types of produced products are wide; therefore we focus attention on a material flow of one particular dimensional type of bearing. This article is divided into five parts. In the first part there is a theoretical overview of utilization of the system module Plant Simulation. The second part is focused on product that will be used for simulation process, concretely tapered roller bearing 32303A. Third part deals with analysis of simulated system model in Plant Simulation. Fourth section is oriented on proposal of monitored production system optimization in Plant Simulation and final fifth part is about benefits evaluation of the proposed solution.

This research paper is focused on the competitive market map as the key tool for classifying enterprises (or countries) in terms of their shares and market positions, as well as on the competitiveness of the Slovak Republic at the international level through the GCI index. This article has three main sections, with first concentrating on a literature review of the issue of competitiveness as the crucial term in this paper. The second main part deals with the competitive market map, in which numerous equations can be found to aid in understanding the problem of competition as a whole. This part also contains a section on the matrix compilation of the competitive market map. The third main section of the article deals with competitiveness measurement in the global world with the emphasis on the Slovak Republic. Here an evaluation of countries through the Global competitiveness index as well as a SWOT analysis of enterprise competitiveness in the Slovak Republic is presented. The Slovak position competitiveness ranking of 41st shows an improvement over previous years, although several challenging issues remain to be resolved by the national government in the near future. The main goal of this article is to evaluate the competitiveness of Slovak Republic on the international scale based on the competitive market map, a tool which is used as the basis for an evaluation of the competitive position of a particular firm as well as that of a particular nation.

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Jozef Kováč, prof. Ing. CSc. is professor an also a head of Department of Industrial Engineering and Management. His professional activities are oriented on the analysis and development of new methods and practices of integrated design of manufacturing systems and testing of design solutions. Vladimír Rudy, doc. Ing. PhD. is associate professor and also a member of Department of Industrial Engineering and Management. His professional area of activity is oriented on the realization of the laboratory system, virtual reality, innovations and CAx systems. Albert Mareš, Ing. PhD. is assistant professor and also a member of Department of Technologies and Materials. He treats with these activities: virtual reality, CA-technologies and their use in designing and innovation of manufacturing systems, focusing on flexible assembly systems. Juraj Kováč, Ing. PhD. is assistant professor and also a member of Department of Production Systems and Robotics. He deals with the activities like the realization of the laboratory system, creating of physical and virtual models of production systems, experimental verification of the virtual reality principles.

An optimization of the production process is defined as the search for solutions with improved production efficiency. Process optimization should be one of the main components of a business strategy that not only delivers benefits to customers but also helps increase the performance of production processes and benefits the entire business. The traditional approaches to job shop scheduling are based on the exact mathematically formalized model. If the number of model parameters is high and the environment is rather uncertain, the practical applications are quite restricted. That is why the theory proposes an approach based on a large-scale computer simulation. The main goal of this paper is to show that in a concrete company case, the simulation-based approach provides increased productivity. The presented study proposes the practical application of the Tecnomatix software used in the research to optimize the production system. The partial aims of the paper are as follows: (1) to create a simulation model of the production system with the help of the Plant Simulation module, (2) to model the current state of matters in the company, and (3) to propose a solution to the problem. Ultimately, we show that the simulation approach to the production line control provides rather effective solutions when compared to the intuitive one based on trial-and-error experience. The improvement includes a significant (1) shortening of the production cycle and (2) increase in productivity.

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This paper evaluates the results of research aimed at changing the rolling speed and the effect of foreign particles in the steel strip, as well as the forces in the rolling process. It also compares the correlation of lab results, theoretical expectations and real-life observations. It supplements the already existing practices aimed at strip-break elimination that were developed and implemented worldwide. Records from a five-stand tandem mill were used for the data analysis. The historical databases developed based on incidents (strip breaks) since 2013 were used; the detailed position of each strip break was documented, along with defects found at the portions of steel strips that broke or the information that no defect was found. The paper contains an evaluation of metallographic analyses of the samples of the strip breaks.