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This paper deals with a design and a shape optimization of a tool that combines punching of a tarpaulin with the tarpaulin grommet pressing in one operation. The tarpaulin grommet 0.5 mm thick with a diameter of 10 mm is made of DX51D+Z275MAC steel. The designed tool and its main shape dimensions are verified by using a numerical simulation in an ANSYS Workbench software and subsequently also by a practical experiment, i.e. verification and debugging functionality in cooperation with H + D kovo company.

The article deals with the use of dynamic simulation tools for planning and optimising changes in the supply process carried out by an automated guided vehicle (AGV). The integration of new products and the overall increase of the production capacity of the assembly line in the automotive company are foreseen to overexpose some transport node. For problem-solving in practice was applied statisticalexperimental research method. The article in its core deals with the designing and creating of a simulation model of AGV-transport processes using dynamic simulation, which is designed to check the patency of routes, the feasibility of processes and detect bottlenecks. Three proposals to reduce logistics downtime were verified. Based on the results of the simulation, one was selected to be applied. After applying the solution, the production line tact increased by 35 %. Based on the results of the experiments conducted on the current situation simulation model, it is important to propose improvements to the AGV's management and transportation systems. The output is a design with virtual verification of a new supply process without bottlenecks.

(1) At present, it is important to bring the latest technologies from industrial practice into the teaching process of educational institutions, including universities. The presented case study addresses the application of educational games in virtual reality to the teaching process in a university environment. (2) The study took place at the Department of Industrial Engineering of the University of Žilina in Žilina and consisted of two phases. In the first phase, students’ satisfaction with current teaching methods was examined. The second phase focused on an educational game in virtual reality, which introduced a non-traditional approach for teaching lean management, namely the tool 5S. (3) This game was designed by the study authors and created in the Godot game engine. The educational game was provided to students during class. After completing the game, participants were asked to fill out a questionnaire. The aim was to enable students to express their opinion on the educational game and to identify the main benefits of this approach in the teaching process. (4) In the study’s final phase, based on the acquired knowledge, the authors examined the benefits and disadvantages of virtual reality educational games for the teaching process of industrial engineering tools.

The long-term sustainability of the enterprise requires constant attention to the continuous improvement of business processes and systems so that the enterprise is still competitive in a dynamic and turbulent market environment. Improvement of processes must lead to the ability of the enterprise to increase production performance, the quality of provided services on a constantly increasing level of productivity and decreasing level of cost. One of the most important potentials for sustainability competitiveness of an enterprise is the continuous restructuring of production and logistics systems to continuously optimize material flows in the enterprise in terms of the changing requirements of customers and the behavior of enterprise system surroundings. Increasing pressure has been applied to projecting manufacturing and logistics systems due to labor intensity, time consumption, and costs for the whole technological projecting process. Moreover, it is also due to quality growth, complexity, and information ability of outputs generated from this process. One option is the use of evolution algorithms for space solution optimization for manufacturing and logistics systems. This method has higher quality results compared to classical heuristic methods. The advantage is the ability to leave specific local extremes. Classical heuristics are unable to do so. Genetic algorithms belong to this group. This article presents a unique genetic algorithm layout planner (GALP) that uses a genetic algorithm to optimize the spatial arrangement. In the first part of this article, there is a description of a framework of the current state of layout planning and genetic algorithms used in manufacturing and logistics system design, methods for layout design, and basic characteristics of genetic algorithms. The second part of the article introduces its own GALP algorithm. It is a structure which is integrated into the design process of manufacturing systems. The core of the article are parameters setting and experimental verification of the proposed algorithm. The final part of the article is a discussion about the results of the GALP application.