/ Topic
This master's thesis explores the development of a Data Quality Framework tailored for Manufacturing Execution Systems (MES) in discrete manufacturing. The study aims to improve the accuracy, reliability, and applicability of MES data by addressing challenges in data quality management and integration, which are critical for operational excellence and
