Title :
Simulation-Based Early Warning Systems as a Practical Approach for the Automotive Industry
Author :
Hotz, Ingo ; Hanisch, Andre ; Schulze, Thomas
Author_Institution :
DaimlerChrysler AG, Gaggenau
Abstract :
Simulation-based early warning systems (SEWS) support proactive control of real material flow systems. In consequence of real or potential state changes, proactive control (unlike reactive control) makes foresighted and target-oriented acting possible. Starting from the definition of SEWS their architecture and the requirements for design of SEWS are discussed. The compliance with simulator-independency is one important facet. Basically, this is achieved by the use of Web services, XML and XSD (XML schema definition). One key component of SEWS are online simulation models which are initialized with the current system state of a real system. The utilization of RFID technology to generate information about current system states improves the quality of simulation-based forecasting. Example applications from the automotive industry show the benefits of SEWS
Keywords :
Web services; XML; alarm systems; automobile industry; digital simulation; production engineering computing; radiofrequency identification; RFID technology; Web services; XML schema definition; automotive industry; online simulation models; proactive control; real material flow systems; simulation-based early warning systems; simulation-based forecasting; Alarm systems; Automatic control; Automotive engineering; Computational modeling; Computer simulation; Context modeling; Control systems; Industrial control; Predictive models; XML;
Conference_Titel :
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location :
Monterey, CA
Print_ISBN :
1-4244-0500-9
Electronic_ISBN :
1-4244-0501-7
DOI :
10.1109/WSC.2006.322981