Manufacturing
Predictive Maintenance System
AutoManufacturing Co. • Implemented IoT-based predictive maintenance to reduce equipment downtime.
7 months
7 engineers
The Challenge
Unexpected equipment failures were causing production delays and high maintenance costs.
Our Solution
We built an IoT system with machine learning models to predict equipment failures.
Results Achieved
Reduced unplanned downtime by 80%, decreased maintenance costs by 30%, increased productivity by 25%.
Technologies Used
Python
IoT sensors
InfluxDB
Grafana
Azure IoT
Project Details
Client
AutoManufacturing Co.
Industry
Manufacturing
Duration
7 months
Team Size
7 engineers