Case Study: BekaertDeslee reduces production waste with delaware BeLux and Azure Machine Learning

How an algorithm helps BekaertDeslee reduce waste

BekaertDeslee, a leading manufacturer of mattress fabrics, was struggling with high levels of production waste in its textile weaving and knitting operations. The company worked with delaware BeLux and Microsoft Azure Machine Learning to find a better way to predict machine issues and reduce costly bad batches.

delaware BeLux helped BekaertDeslee move shop floor data from SAP and VisionBMS into the cloud, integrate it with ERP systems, and refine an algorithm that predicts when machines are likely to break down. After a pilot in Turkey, the solution was rolled out across all 20 production sites worldwide, helping deliver a realistic waste reduction of 10-20% and enabling plants to share risk alerts and insights across locations.

BekaertDeslee

Rik Holvoet

Chief Information Officer