Predictive Quality Management with QES

The user-friendly concept of the QES enables the systematic introduction of an automatic coil release system for all production lines. QES captures and pools the quality data from various process stages. The software monitors, records, and ensures product and process quality along the whole production chain – from the raw material to the surface-finished final product. Rules are used in all process stages to check the extent to which quality standards are maintained as per the customer’s specifications.

The system includes all kinds of decision-making support that is important for the operation of the plant and for the process chain as well as the delivery of the finished products. QES is the leading software for successful high-performance operation and the production of high-quality products. Its implementation creates valuable benefits for operating costs and customer satisfaction levels.

Predictive Product Quality

Key features

  • Give flexible, dynamic decision rules in the hands of QA engineers
  • Provide electronic quality manuals based on decision rule sets, easily transferable to other lines and worldwide
  • Generate comprehensive quality certificates
  • Uncover hidden quality issues and potentials
  • Utilize all available data and improves data quality
  • Find key influential parameters and rules driving quality performance
  • Use web-based KPI monitoring and re-assignments for all grades and rules


  • Data Integration

    Unified data landscape across the entire production route

    Each coil is represented by data from numerous data sources of the different automation levels. For bridging the physical and the digital worlds, data must be transmitted completely and seamlessly allowing the virtual coil to exist simultaneously with the physical coil. However, following the process route each coil can have a digital representative in each individual process step. The Internet of Things thus contains a comprehensive digital replica of the physical coil - with complete mapping of all product, process or specification data. The QES is able to collect, aggregate, and analyze all existing data related to a coil and thus sets the basis for the digital twin of each coil.

    By comprehensively merging all data for each coil in a digital twin, steel producers can ensure a seamless documentation of product quality and trace hidden quality potentials.

    Production data warehousing
  • Automatic Product Grading and Release

    Rule-based quality and process evaluation

    Even today, quality management is not an automated process in most rolling mills. A great deal of time and effort is invested in quality monitoring by plant personnel, for example to determine the exact cause of defects. The Quality Execution System (QES) by QuinLogic is a proven and leading technology for automated coil release. It facilitates quality monitoring for plant personnel, saving a vast amount of time and money. By translating expert know-how into rules, the QES can verify if a specific product meets the customer specification while considering quality and process data from all production steps. That way it can approve and certify product quality automatically, leaving more time for process and quality experts to focus on root cause analysis, continuous process and quality improvements and quality assurance for critical products.

  • Assign Manager

    Find the best alternative order for downgraded coils

    Having both detailed information about the produced quality and all details of the customer specification at your fingertip, this application supports you finding the best alternative orders if a finished product is no longer suitable for its original purpose due to impairment in quality.

    Find alternative orders for downgraded material
  • DataCorrelator

    Turn data into insights without data-science skills

    As a fully integrated QES application the DataCorrelator provides the user with an explorative data analysis tool.

    The primary focus are the root cause analysis, comparative analysis and predictive models. This, combined with the user’s expertise, allows the determination of the influence that different factors have on a variable, as well as the comparison of a variable under different conditions.

    In addition, it provides the user with an easy way to export the results of these operations to be utilized for the quality monitoring and to predict a quality risk.

  • Statistical Process Control

    Keep the Process Stabile

    The SPC (Statistical Process Control) aims to improve product quality through increased process stability. Within the QES, the tool uses data from the entire data pool and leverages it to monitor processes and keep them stabile.

    By utilizing control charts, you can observe how a process changes over time, identify trends, and recognize special causes of variations. Statistical methods help to recognize process deviations in an early stage automatically.

    With SPC, you can define data series based on the QES product data model and select any context data for each data series by filtering, sorting, or grouping it. In addition, the SPC application can be flexibly integrated into the QES workflow.


Automated Coil Release

"Stainless steel markets are challenging and product mix has to be more flexible than ever. APERAM has therefore decided to implement an existing solution for process monitoring in a new QES software product suite. The QuinLogic system provides a very flexible and easy-to-use tool for the QA department. No more IT or supplier support is needed to set up new rules or change existing parameters. The very short implementation time within just a few months has proved that the product is very robust and mature."

Rudi de Keyser Quality Manager, APERAM, Genk, Belgium

Alternative orders for downgraded coils

"USSPOSCO was looking for a quality assurance solution that not only grades the coils but also supports the active approach to avoid deviations in process lines before they show up in a series of coils. This proactive process monitoring is supported by the QuinLogic PPS modules, which allow easy and fast rulebased supervision of any variable which may contribute to the quality of the product.

Rod Simpson Division Manager Technology, USSPOSCO, California, USA

Production data warehouse

"We selected QuinLogic after a careful evaluation process and are more than satisfied with the performance of the QES in our production line. It is not only the excellent software tools but also the outstanding service support that makes us happy with our QES. We have reached our challenging goal to reduce the manual intervention in our release process and also obtained a much better insight into our process capabilities. Approximately 70% of coils can be shipped without any further examination."

Vance Kendrick General Manager for Quality and Technology, Nucor Steel Gallatin, Kentucky, USA

Process monitoring and expert system

"NLMK La Louvière chose QES as a tool to support “auto- control” of products by manufacturers. QES allows us to de- fi ne advanced rules of grading taking account of specific customer requirements. As the definition and implementation of the rules are carried out by quality experts (no IT expert needed), the set of rules is no more a black-box with some surprises from time to time. After one year of auto-control at HSM, we can say it is a useful tool to support manufacturing decisions."

Daniele Talamini Quality & Metallurgy Manager, NLMK La Louvière, Belgium

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