QuinLogic GmbH

Aachen, Germany

QuinLogic GmbH

Aachen, Germany

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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.


Wang B.,Beijing KunLu InfoTech Corporation Ltd. | Xu J.,Beijing Shougang Automation InfoTech Co. | Peintinger H.,QuinLogic GmbH
Proceedings of the 10th International Conference on Steel Rolling | Year: 2010

The article introduces the rule-based online quality assurance system-Quality Execution System (QES). QES analyze large amounts of data from different information systems, control systems and various gauging systems. QES synchronizes all data to create a uniformed data set per piece of metal that allows the utmost qualification before shipment. It provides a viable method of overall quality assurance that checks and traces the product quality from casting, hot rolling, cold rolling, and processing lines. QES also presents each individual product a quality certificate which can be used in the enterprise's Six-Sigma system. The article also summarized the benefit the QES will bring to the steel makers.


Kendrick V.,Gallatin Steel Company | McClure J.,Gallatin Steel Company | Evers H.,QuinLogic GmbH
MPT Metallurgical Plant and Technology International | Year: 2014

Gallatin Steel is using the quality execution system from QuinLogic to make coil grading decisions by way of an automated process. Gallatin Steel in Ghent, Kentucky, US, is a minimill with an annual hot strip output of approximately 1.6 million tons. Production route mainly comprises an EAF meltshop with ladle metallurgy facility and a CSP thin-slab casting and rolling plant. The company is a joint venture between ArcelorMittal and Gerdau Ameristeel. It has a total staff of 450 people. The objective was to reduce the effort associated with coil grading and dispositioning by 50 percent. Gallatin's long-term target is to have 90 percent of all coil grading decisions to be automated by a software supported grading process. Another relevant aspect was to make better use of highly qualified and highly experienced quality engineers, allowing them to concentrate on genuine quality assurance tasks, namely improving quality consistently and reliably and taking care of those cases which still need human eyes and interaction for an improved judgment.


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.


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.


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.


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.


Holzknecht N.,BFI VDEh Betriebsforschungsinstitut GmbH | Brandenburger J.,BFI VDEh Betriebsforschungsinstitut GmbH | Keil S.,QuinLogic GmbH | Luecking F.,QuinLogic GmbH
AISTech - Iron and Steel Technology Conference Proceedings | Year: 2012

Describing quality assurance procedures through rules is a common approach. Defining such rules is often difficult. Several factors contribute to this: The vast amount of data delivered by latest technology gauges, ever more detailed specifications and requirements, and the need to transform human knowledge and experience into electronic rules. QuinLogic and BFI have developed innovative software to extend the QA rules approach in two ways: (1) Fuzzy logic helps to map human experience into rule sets. (2) Automatic rule generation, for example driven from a claims database, allows qualifying coils even if written specifications are incompletely describing the customers' requirements. While the employed technologies are known, these concepts have been for the first time applied to rule based QA procedures. The paper describes experiences with rule based QA procedures that have led to the application of fuzzy and automatically generated rules, illustrates the implementation and reviews first experiences.

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