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. Deviations in the quality data require the monitoring personnel to take decisions and any relevant action, such as redirecting or, in the worst case, scrapping a coil, which leads to losses. At SMS digital, you will find all the right solutions to bring your quality management system to the next level and benefit from learning algorithms that allow you to respond to growing demands.
The user-friendly concept of the QES Quality Execution System 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.
The MPV app is a web-based technology module that allows optimization of mechanical properties such as yield strength, tensile strength and elongation along the entire process chain. Understanding the effect of all process parameters on the mechanical properties was never that easy. Every piece of information is available at just a few clicks.
Metallics Optimizer uses artificial intelligence techniques to forecast the amount of undesired tramp elements in the scrap before it is melted. The Metallics Optimizer uses this forecast to calculate the lowest-cost composition for the melt's feedstock by means of an optimization algorithm.
QuinLogic is a team of experienced professionals and have worked in the steel industry for the last decade. Together, they strive to improve product quality and production processes in the metallurgical industry.
The QuinLogic mission is to create additional value for metallurgical industry quality processes through data processing. With the Quality Execution System (QES), QuinLogic focusses on the key value drivers: improving revenues, reducing costs and increasing yield.