Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards

Quality is a key concern in any high-precision manufacturing, but how do you ensure that product quality is within tolerance when changes in production conditions, raw materials, or user demands require frequent recipe changes? The Idletechs Digital Quality Analytics Solutions provides real-time tracking of changes to product-process quality in multi-step manufacturing processes, and provides multi-layered drill-downs into why and how processes and products are outside of the expected range. The solutions build upon AI/ML methods to analyse deviations, to build models of normal process-product conditions, and to find changes in such relationships. The goal is to provide personnel from operations with better digital tools to understand and encode process, product, and fault situations, allowing quicker product generation, fault identification, and deeper process knowledge.