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Optimizing the production process with software

07-08-2008 09:07 AM CET | IT, New Media & Software

Press release from: Software Competence Center Hagenberg (SCCH)

Thomas Führer, Klaus Pirklbauer, Pia Hauser und Harald Thurnher invited to the Softwarepark Hagenberg

Thomas Führer, Klaus Pirklbauer, Pia Hauser und Harald Thurnher invited to the Softwarepark Hagenberg

In cooperation with AMS Engineering and the Technokontakte Club the Software Competence Center Hagenberg invited at the 27th of June for an information day regarding process optimization.

Optimization of the production process – increasing productivity

Experts of the SCCH presented innovative methods which lead to an optimization of the production process. For example:
* Data mining for analyzing hidden coherences
* Quality inspection for different tasks. For example for surfaces, for the dimensional stability, and the inspection of completeness
* New technologies in process engineering

Energy efficient building enspired participants

Thomas Führer from AMS engineering presented how experience of the product optimization and the automation could influence building services engineering. During a walk round the building, the participants gained an impression of the amsec building (, which is planned due to modern energy efficient standards.

Software Competence Center Hagenberg GmbH
Mag. Martina Höller, Marketing & PR Manager
Softwarepark 21, A-4232 Hagenberg, Austria
Tel. +43 7236 3343-882
Fax +43 7236 3343-888

The Software Competence Center Hagenberg (SCCH) is one of the largest independent software research centers in Austria and a harbinger in software-related, technological research & development trends. The SCCH guarantees internationally recognized research & development services. The combination of scientific disciplines around computer science and mathematics makes SCCH unique. The focus is on the following areas:
Process and Quality Engineering
Integrated Software Engineering Tools
Enterprise Applications
Industrial Data Warehousing
Industrial Data Mining
Biomedical Data Mining
Knowledge-Based Vision Systems for Industrial Applications

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