Success Stories
Boston Scientific - Cork
Boston Scientific is a global medical equipment manufacturer that works to solve the healthcare industry’s toughest problems by developing solutions that matter most to those suffering from debilitating and life-threatening conditions and the healthcare professionals who provide their care. Across 100+ countries, Boston Scientific helps providers deliver care more effectively by reducing costs, increasing efficiencies and expanding access to care in order to help more people in more places live longer healthier lives.
Manufacturing Equipment connectivity with IIoT
Challenge
Connection of multiple pieces of machinery
Multiple machine protocols including OPC-UA and modbus
Observability of manual stations
Near-real-time visualisation dashboards
Standardised approach for multiple facilities
Solution
Adding wireless IIoT sensors to unconnected equipment
Connecting various pieces of equipment together to on-premises SCADA systemMirroring of on-site equipment structure to AWS IoT SiteWise
Lightweight MQTT based data transfer
Dashboard for equipment in AWS IoT SiteWise and Amazon Managed Grafana
Benefits
Near real-time equipment monitoring
Modelling of physical asset hierarchy
Observability of operational metrics such as OEE
A unified approach to data collection
Massively scalable solution
Easy integration to an industrial data lake
Boston Scientific - Galway
Boston Scientific is a global medical equipment manufacturer that works to solve the healthcare industry’s toughest problems by developing solutions that matter most to those suffering from debilitating and life-threatening conditions and the healthcare professionals who provide their care. Across 100+ countries, Boston Scientific helps providers deliver care more effectively by reducing costs, increasing efficiencies and expanding access to care in order to help more people in more places live longer healthier lives.
AI/ML-powered advanced Data Analytics for Predictive Quality
Challenge
Highly complex manufacturing process
High throughput product line
Multiple production lines
Product testing is destructive
Large dataset from multiple data sources and a variety of formats
Solution
Use AWS SageMaker Data Wrangler for data preparation
Use AWS SageMaker notebooks for developing and running ML-powered analytics
Develop a standardised approach for use on other product lines
Benefits
Identification of top contributing parameters to product failure
Better understanding of parameter impact in a complex manufacturing process
Using ML optimised EC2 AMIs allows for fast, cost-effective algorithm development