This paper deals with the issue of increasing the quality and sustainability of education at universities regarding the requirements of employers. Employers’ expectations of university graduates in terms of soft skills are analysed and outlined. The employers participating in this study answered a questionnaire survey focused on understanding university graduates’ soft skills. The collected results were subjected to the method of mathematical–statistical analysis by nonparametric testing of significance of the mean value difference. The significance of the difference for individual skills was confirmed, demonstrating that the surveyed enterprises required and anticipated a level of soft skills development on the part of recent graduates that was insufficient. This finding implies the necessity of improving university education to match the expected and real state of soft skill mastery.

This contribution assesses the possibilities of application of volumetric compensation technology on a small three-axis vertical machining centre. These machine tools are designed for machining of small workpieces with various requirements on dimensional and shape accuracy. Small machine tools do not show large volumetric deviations across the entire working space as it is seen with medium-sized and large machining centres. To test volumetric compensation, detailed measurements on a small machining centre (demonstrator) were performed prior to activation of compensation set; other verification measurements were carried out with activated compensation set. Even if volumetric compensation is deployed, it is necessary to verify the achieved results in an appropriate manner. The accomplished study will offer pertinent conclusions on the appropriateness of the technology to be deployed for selected types of workpieces.

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The paper deals with increasing processes efficiency at a production line of cylinder heads of engines in a production company operating in the automotive industry. The goal is to achieve improvement and optimization of test processes on a production line. It analyzes options for improving capacity, availability and productivity of processes of an output test by using modern technology available on the market. We have focused on analysis of operation times before and after optimization of test processes at specific production sections. By analyzing measured results we have determined differences in time before and after improvement of the process. We have determined a coefficient of efficiency OEE and by comparing outputs we have confirmed real improvement of the process of the output test of cylinder heads.

The paper addresses application of digitazation of production processes, which is part of organizational digitization, also known as Industry 4.0. It deals with modernization and optimization of production systems by creating models in simulation software via digital engineering. For our analysis, 8 real assembly lines were used, with an average of 15 workplaces, which were integrated into one universal line by means of simulation. The aim of our research was to create a digital twin of the real assambly lien and to analyse effectiveness of the proposed modernization universal assembly line using the generated statistical data.