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.

Digital technologies play a key role in reviving the world economy. The EU has pledged to combine recovery support with resilient digital transformation. The COVID-19 pandemic highlighted the lack of digitization in Slovakia and the shortcomings of digital skills in citizens and communication with institutions. Digital skills are important and should form part of educational policy. ICT skills can help people succeed in the labour market and improve communication with public administration. Digitization and globalization increase the importance to communicate through the Internet, applications, and other e-based gadgets. Digital skills are one of the essential parts of e-Government, so people can use e-Government services in communication with public administration. The current crisis is affecting citizens’ use of online services. Indices concerning the digital economy are analysed, such as the digital economy and society index DESI and e-Government digital skills (EGDI) from 2018 to 2021 revealed a stagnant state in 2018 and 2019, and in 2020, there was a decrease in basic digital skills. The next index is E-Government Digital Index. It focuses on human capital and digital skills in these indices. The paper analyses and identifies the digital skills of citizens in the context of e-Government development and describes the use of e-Government services by EU citizens with a focus on the Slovak Republic. The data were collected through a questionnaire survey of Slovak Republic citizens’ digital skills according to selected categories, the use of e-Government services as well as awareness of e-Government services. Solutions that improve e-Government in the Slovak Republic are gradually being implemented. Improving digital skills according to the National Coalition for Digital Skills and Professions in the Slovak Republic is one of the priorities of The Ministry of Education, Science, Research and Sport of the Slovak Republic, which has adopted an action plan for 2019–2022 to improve the results in the DESI index by 2025 and focus on the digital skills required by employers. The survey revealed that in Slovakia, the majority of schools offer only weak support for digital education (about the EU-27 average of 68% and 45%, respectively). The research also revealed a decreased level of digital literacy among young people. These competencies are very important to gain a position in the labour market in the digital society. The projects aim to support the development of digital skills of primary and secondary school students, and the integration of new technologies into teaching.

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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 article deals with the Analytic Hierarchy Process (AHP) method, which can be calculated in several ways. The aim of the paper is to analyze and describe the AHP method as essential for strategic managerial decision-making to determine which method is efficient for the calculation and to set the proper order of criteria. In the contribution, we show how the AHP method can be used through different techniques. In the article, there are included methods that can be used in order to calculate the matrix in the AHP process for setting criteria. This study also focused on the accuracy of various methods used to compute AHP. The paper contains the procedure of using the Saaty method through the Excel program. The results of the research show that the most accurate method is the Saaty method. In comparison with the Saaty method is the geometric mean method with the slightest deviation (CI = 0.00010), followed by the Row sum of the adjusted Saaty matrix with deviation (CI = 0.00256), reverse sums of the Saaty matrix columns (CI = 0.00852), Arithmetic mean and Row sums of the Saaty matrix (CI = 0.01261). All of these methods are easy to calculate and can be performed without major mathematical calculations. The AHP method is often used with other methods such as SWOT, FUZZY, etc. The survey was carried out through an inquiry with managers who graduated from universities in Slovakia and showed that the respondents considered the Saaty method as the most complex and the most difficult. The geometric mean and average mean methods were regarded as the simplest methods. Respondents (44%) stated that they were able to use a program to calculate the AHP. Respondents (46%) had experience with some method related to the strategic managerial decision-making process. Managers (72%) regarded this skill as important for decision-making in their managerial position. The contribution of this paper is to show the advantages of the AHP method in its wide use in various fields.