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Aachen, Germany

Peintinger H.G.,QuinLogic GmbH
AISTech - Iron and Steel Technology Conference Proceedings | Year: 2011

The project in Shougang confirmed that implementing a QES software application and switching it on-line very fast, can have a positive impact in the workflow of the complete steel mill. A professional fact-based quality improvement program can be initiated and driven forward just on the statistical data which is generated out of the new QA process. Each single slab/coil is evaluated and the decision is documented with all reasons and comments. (Figure 8) This Quality Certificate is kept for years and can be used for quality analyses and/or for customer claim-tracking?. Any new claim reason which is based on measurable variables can be used immediately to implement or adjust a rule to avoid such complaints in future. Source


Peintinger H.G.,QuinLogic GmbH
AISTech - Iron and Steel Technology Conference Proceedings | Year: 2012

The web based approach confirmed that it is possible to organize quality assurance processes and work flow in a more efficient way. The positive impact to produce homogeneous quality and the transparency allow a new era in customer relationship of the steel mill. A professional fact-based quality improvement program can be initiated and driven forward just on the statistical data which is generated out of this new QA process. Any new claim reason which is based on measurable variables can be used immediately to adjust the process and rule set to avoid such complaints in future. A certified quality assurance process traceable many years back and without additional workload is now reality and not any more a dream. Source


Luecking F.,QuinLogic GmbH
MPT Metallurgical Plant and Technology International | Year: 2011

Shougang Corporation is one of the leading steel makers in China and among the first to implement China's government directives for improved steel quality. As an important activity, a quality execution system (QES) was purchased and installed at two sites, Qian'An and Shunyi. The requirement was to implement an integrated system linking all production lines and the two sites with an integrated software to perform deterministic computer controlled quality decisions and making the results available throughout the entire process chain. The overall quality assurance system at Shougang follows a five level approach, material data collection (LIMS, SCADA, SIS, gauge databases), online quality grading system, integrated quality planning and rescheduling. Data is retrieved from all connected devices and databases. To implement this, the data mapping layer uses an XML based meta data definition script called 'data context.' Rules and quality certificates have proven their excellent usability. Source


Lucking F.,QuinLogic GmbH
MPT Metallurgical Plant and Technology International | Year: 2011

Quinlogic announces the first successful installation of its new web analysis and reporting software (WA) at ThyssenKrupp. The key benefit of the WA reporting software is to shorten the time from an event to a qualified activity from weeks to minutes. The WA reporting software has been optimized thoroughly for speed - fast, focused interaction with very sophisticated and fast database operations. Secondly, configuring reports and display results requires minimal activity. The Quinlogic web analysis and reporting software has been developed to support wide spread usage, not requiring documentation or training. In order to prove that to everybody, Quinlogic has created a test server with simulated plant data. The QR code aside links directly to the server that also can be logged onto with the given URL. Source


Peters H.,BFI VDEh Betriebsforschungsinstitut GmbH | Ebel A.,BFI VDEh Betriebsforschungsinstitut GmbH | Holzknecht N.,BFI VDEh Betriebsforschungsinstitut GmbH | Link N.,BFI VDEh Betriebsforschungsinstitut GmbH | And 4 more authors.
Stahl und Eisen | Year: 2012

The continuous improvement of all steel production processes regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of each steel producer. Therefore and within the framework of the Zero-Defect strategy popular today, several quality assurance techniques are used. The present report explains in this context the method of Data Mining and describes its application in the industrial environment and here especially in the steel industry. Beside a description of the general procedure different approaches for the realization of the necessary software tools are presented. Source

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