Customer Stories / Life Sciences
Baxter on Using Amazon Monitron for Predictive Maintenance
In this 2022 AWS re:Invent video, A.K. Karan, senior director of digital transformation at Baxter, discusses how the company improves operational efficiency with predictive maintenance using Amazon Monitron.
Baxter International Inc. (Baxter), a global medical technology leader, is driven by its mission to save and sustain lives. The company’s network of 70 manufacturing sites worldwide operates 24/7 in a highly complex, dynamic, and regulated environment. Every minute of production is critical, and every minute of downtime avoided is valuable not only to the company but also to its customers and patients. To reduce unplanned equipment downtime in its facilities, Baxter needed an equipment monitoring solution that was simple to deploy, equipment agnostic, cost efficient, and scalable. The company’s shift to a predictive maintenance strategy resulted in improved business processes using Amazon Monitron which prevented over 500 machine hours of unplanned downtime in its largest facility in the United States.
Read the Baxter case study to learn more.
Amazon Monitron has given us the actionable data needed to maintain the thousands of manufacturing assets in our facilities, allowing us to predict and preempt unplanned equipment downtime. This gives us a big advantage in creating reliable and sustainable supply for our customers.”
Senior Director of Digital Transformation, Baxter International Inc.
AWS Services Used
Amazon Monitron is an end-to-end condition monitoring system that uses machine learning to automatically detect abnormal conditions in industrial equipment and lets users implement predictive maintenance to reduce unplanned downtime.
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