Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing

Today´s enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data from business applications referring to long time horizons (e.g., days). However, the integrated data is not used extensively for real-time control of enterprise processes. Therefore, a methodology is presented for identification and assimilation of knowledge for real-time control of enterprise processes. Real-time control of enterprise processes aims at increasing performances in manufacturing.