Pre-emptive fault prediction can help manufacturers avoid business losses and is therefore gaining importance across all industries. Accurate and on-time maintenance requires predictive insights on the functioning of equipment, next breakdown forecast, primary faults and their causes, and reasons for downtime. These insights enable businesses to ensure fault-free production.
01.
Business needs
A Fortune 500 American multinational automaker was looking for a solution that would predict faults in their auto parts to proactively ensure fault-free production, thereby saving maintenance time and improving the customer experience. They were looking for a scalable solution that would be able to:
- Process data from disparate sources and in multiple formats
- Predict in real-time, giving them enough time to replace the waned cutting tools
02.
Solution
Gathr enabled the client to implement an end-to-end predictive maintenance solution leveraging out-of-the-box drag-and-drop operators. It helped them effortlessly design a complete solution with the following ready-to-use capabilities:
- Reading data from various sources
- Out-of-the-box data-wrangling transformations
- Data quality management\
- Rule-based alerts
- Scalable scoring of trained models
- Data aggregation
- Data profiling
- Monitoring and reporting
03.
Results
- Connected multiple discrete sources
- End-to-end data quality and preparation
- Model lifecycle management
- Out-of-the-box connectors for upstream and downstream integration
- Real-time notifications for tool replacement
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