Case Study: Edwards achieves predictive maintenance for semiconductor manufacturing with Cumulocity

Edwards prevents $2 million in wafer losses with Cumulocity

Edwards, a leading provider of vacuum and abatement solutions, faced challenges with its legacy data infrastructure as it sought to provide predictive maintenance for its semiconductor manufacturing customers. Their goal was to forecast costly vacuum pump failures to prevent downtime and wafer loss, but their homegrown system could not handle the data volume required. They partnered with Cumulocity to find a scalable solution.

Using the Cumulocity platform, Edwards implemented a scalable predictive maintenance solution capable of handling large data volumes and advanced analytics. This allowed them to build and deploy accurate machine learning models to predict failures, preventing incidents that could result in losses of up to $2 million per year. The partnership with Cumulocity freed Edwards' engineering team to focus on their core domain expertise, improved customer engagement with real-time insights, and accelerated proposal turnaround times.

Edwards