Case Study: Glass Fibre Manufacturer reduces quality control response time with Columbus Global and Microsoft Azure AI

Manufacturer reduces quality control response time for corrections from 6-8 weeks to 2-4 days

A glass fibre manufacturer needed to significantly improve its quality control process, which was slow and inaccurate. Using Excel to analyze IoT sensor data meant it took six to eight weeks to identify and correct production issues, leading to sustained waste and quality problems. The company engaged Columbus, which implemented a solution using Advanced Analytics in Microsoft Azure AI.

Columbus created a model using data from IoT devices and multiple systems to optimize the quality control process. This solution reduced the response time for corrections from 6-8 weeks to just 2-4 days. The results included optimized production with less waste, improved overall product quality, and easier data consumption through customized Power BI dashboards, enabling the manufacturer to generate more revenue from higher-quality output.