Predictive maintenance reduced downtime by 80 percent
A manufacturer with fifteen disconnected data sources and reactive maintenance wanted a single view of its plants and warning before machines failed.
80%
less unplanned downtime
15
sources unified
70%
reporting efficiency gain
Challenge
What was in the way
Sensor, ERP and MES data in silos; no historical dataset for modelling; unreliable plant connectivity.
Solution
What we built
Edge collection with AWS IoT Greengrass, a unified data lake on Amazon S3 and AWS Glue integrating fifteen sources, and failure prediction models on Amazon SageMaker feeding work orders.
AWS services
- AWS IoT Greengrass
- AWS IoT SiteWise
- Amazon S3
- AWS Glue
- Amazon SageMaker
Client: Automotive manufacturer. Delivered by our engineering teams.
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