Einsatz von Manufacturing Execution Systems (MES) zur Echtzeit-Performance-Messung in der Zerspanung

Abstract

This thesis examines the use of Manufacturing Execution Systems (MES) for real-time performance measurement in machining processes. The starting point is the increasing complexity of industrial manufacturing, in which traditional performance indicators such as Overall Equipment Effectiveness (OEE) are losing their significance due to manual, delayed data collection and a lack of transparency. The aim was to analyze the benefits of MES in improving data availability, traceability, and performance evaluation. The analysis of the results of this work demonstrates that MES are capable of capturing machine data in an automated, continuous, and context-specific manner. This enables an exact calculation of the OEE components: availability rate, performance rate, and quality rate. Especially in machining, it becomes evident that even the smallest deviations can have significant effects on productivity and that, therefore, precise and timely performance measurement is necessary. The use of an MES provides the basis for targeted optimization of processing times. At the same time, the system allows for the early detection of disruptions and the identification of the causes of quality defects. A critical point is the integration of an MES into existing system landscapes as well as the connection to machines, sensors, and operational processes. In addition, the successful use requires structured data management, personnel training, and organizational adjustments. Nevertheless, the work shows that MES make a decisive contribution to the implementation of digital real-time performance measurement and provide a sound basis for continuous improvement decisions. The results underline that MES not only make operational processes more transparent and efficient, but also offer long-term strategic potential for predictive maintenance, quality control, and adaptive manufacturing.

Date of Award	2025
Original language	German (Austria)
Supervisor	Franz Obermair (Supervisor)