MES-System mit Fertigungskommunikation

In einem vom Bundesministerium für Wirtschaft und Energie (BMWi) geförderten Forschungsprojekt entwickeln die ATS Elektronik GmbH, das Institut für Fertigungstechnik und Werkzeugmaschinen (IFW) der Leibniz-Universität Hannover und die FAUSER AG Lokalisierungs- und Kommunikationsfunktionen für das Manufacturing Execution System der Zukunft. Das Projekt soll zum Jahresende 2021 abgeschlossen sein.

Knowledge and Information Management

The paper describes selected issues related to knowledge management in a manufacturing company with a detailed analysis of the impact of optimal management using the MES system on financial and production results. The study presents an analysis of the company’s results before and after the implementation of the knowledge and information management system in a manufacturing company. Moreover, the paper presents an analysis of the company’s operations and defines a strategy for further activities aimed at increasing the financial and operational efficiency of the analysed production company.

Research on the models and implementation techniques of ceramic MES system Based on ISA95

This paper is based on ISA95, combined with the problems existing in the production process of ceramic products, to study the models and implementation techniques of ceramic MES system. It has realized the high flexibility and intelligence of ceramic manufacturing, and the traceability of ceramic products, as well as has improved the information level of the ceramic industry.

Personalization of the MES System to the Needs of Highly Variable Production

The new generation Manufacturing Executions System (MES) is considered as one of the most important solutions supporting the idea of Industry 4.0. This is confirmed by research conducted among companies interested in the implementation of the Industry 4.0 concept, as well as the publications of researchers who study this issue. However, if MES software is a link that connects the world of machines and business systems, it must take into account the specifics of the supported production systems. This is especially true in case of production systems with a high level of automation, which are characterised by flexibility and agility at the operational level. Therefore, personalization of the MES software is proposed for this class of production systems. The aim of the article is to present the MES system personalization method for a selected production system. The proposed approach uses the rules of Bayesian inference and the area of customisation is the technological structure of production, taking into account the required flexibility of the processes. As part of the developed approach, the variability index was proposed as a parameter evaluating the effectiveness of the production system. Then, the results of evaluation of the current system effectiveness by use of this index are presented. The authors also present the assumptions for the developed MES personalization algorithm. The algorithm uses the rules of Bayesian inference, which enable multiple adjustments of the model to the existing environmental conditions without the need to formulate a new description of reality. The application of the presented solution in a real facility allowed for determining production areas which are the determinants of system instability. The implementation of the developed algorithm enabled control of the generated variability in real time. The proposed approach to personalization of MES software for a selected class of production systems is the main novelty of the presented research and contributes to the development of the described area of research.