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EN
The article deals with a widely used method of measuring the overall efficiency of equipment (OEE), which in combination with technologies and software tools is gaining in importance. The overall efficiency of OEE equipment is a key performance metric for machines and equipment to identify hidden capacities and increase production productivity. The intensification of Industry 4.0 in traditional manufacturing companies supports and creates the conditions for their transformation into a smart factory. The integration of intelligent machines and devices with complex human-machine communication network systems requires a new direction in measuring and increasing OEE. Mass customization, resp. personalization of production raises a high need to monitor, improve and further maintain productivity. The aim of the article is to create a simulation model of the production process and test the energy consumption of selected equipment using TX Plant Simulation software with a proposal of measures to increase the OEE of the company.
EN
The presented article deals with the position of Slovakia among the V4 countries (Slovakia, Czech Republic, Poland, Hungary), according to the DESI index in selected indicators. Selected indicators of V4 countries were compared by the non-parametric form of ANOVA. When rejecting the null hypothesis of equality of mean values, pairs were subsequently identified between which there is a statistically significant difference. The article aimed to define specific differences and point out the possibilities of increasing competence in the given areas of the DESI index with emphasis on the V4 countries and the potential of digitization, which is gaining in importance in terms of the Covid-19 pandemic.
PL
Prezentowany artykuł dotyczy pozycji Słowacji wśród krajów V4 (Słowacja, Czechy, Polska, Węgry), według indeksu DESI w wybranych wskaźnikach. Wybrane wskaźniki krajów V4 porównano za pomocą nieparametrycznej postaci ANOVA. Odrzucając hipotezę zerową o równości wartości średnich, identyfikowano następnie pary, pomiędzy którymi występuje różnica istotna statystycznie. Celem artykułu było zdefiniowanie konkretnych różnic oraz wskazanie możliwości zwiększenia kompetencji w danych obszarach indeksu DESI ze szczególnym uwzględnieniem krajów V4 oraz potencjału cyfryzacji, która w warunkach pandemii Covid-19 zyskuje na znaczeniu.
EN
Digitization in the production area represents the integrated planning and management of production and logistics systems and networks based on digital models, methods, and tools, which are built on a common flexible information and communication platform. Currently known and used Lean tools need to be dynamized and oriented to the creation of digital business, where digital models can be heterogeneous, respectively usable in several projects. One of these possibilities is the use of the Lean production method – Value Stream Mapping, the potential of which in the context of the above mentioned is great. The aim of the presented article is based on Gemba analysis of the production process to process the value stream in the environment of the software tool TX Plant Simulation for the needs of flexible reflection on changes in various parameters within the value stream. The case study carried out under this article aims, among other things, to highlight the importance of combining simple Lean Production tools with software in finding, testing, and designing alternative solutions. The potential of using the processed model was also processed for the needs of digitization of business processes in the future.
EN
Industry 4.0 will affect the complexity of supply chain networks. It will be necessary to adapt more and more to the customer and respond within a time interval that is willing to accept the product waiting. From these considerations, there is a need for a different way of managing the supply chain. The traditional concept of supply chain as a linear system, which allows optimizing individual subsystems, thus obtaining an optimized supply chain, is not enough. The article deals with the issue of supply chain management reflecting demand behaviour using the methodology Demand Driven MRP system. The aim of the publication is to extend the knowledge base in the area of demand-driven supply logistics in the context of Industry 4.0 and verify the processed theoretical knowledge in a case study.
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