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.
1 March 2019 in Management Systems in Production Engineering
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.
19 May 2022 in Management Systems in Production Engineering
The paper focuses on Customer Relationship Management (CRM), based on latest national and international studies of the subject. The goal of the paper is to identify how the selected companies that operate in Slovakia understand the concept of CRM and to what degree they actively use it. Thereafter authors compare different approaches to management of company’s relationship with customers. They wanted to focus on a deeper analysis and decided to use in our orientation and evaluative research also a different approach, such as collaboration with international experts. In the paper the authors identify level of use of social CRM in selected companies in Slovakia and based on expert opinions of members of an international group they design an optimal model of CRM.
1 March 2020 in Management Systems in Production Engineering
Social responsibility is seen as an institutional innovation, which leads to a chance of social rules. Social responsibility also stimulates other types of innovation, which could work as feedback to keep or as a strategic change of social responsibility. The strategy for improvement of quality creates opportunities to identify and to learn from those who are farther along the road to exceptionality and have improved quality or their products and services by improving their organization. The initiative to improve quality of products and services by improving the organization has to be based on clearly defined principles that help define key functions that support organization’s activities, required resources and serve as supporting tools to improve quality. For an organization to have long term and continuous success it needs to fulfill expectations of all stakeholders and as part of this we can discuss Corporate Social Responsibility – CSR. This includes behaviour of organizations that goes beyond the prescribed legislative requirements, but includes activities that benefit not only the organization itself, but also its employees and the public.
The aim of the paper is to present the concept of a digital twin (DT) as part of the Industry 4.0 strategy. In the form of a case study, a digital twin of a production line for the processing of engine blocks is presented, which will serve as a starting point for further research in the field of digitization of production processes. The research part describes the simulation model of the production line with the representation of the material flow as a basis for the creation of a digital twin. The simulation model was used to optimize the production processes of the engine block and to verify the increase in its productivity. A case study implemented through a digital twin enables testing and analysis of changes before they are introduced into real production.