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Manufacturing
Tata Steel Achieves 99.8% Uptime
How predictive maintenance analytics reduced downtime and increased production efficiency.
Client
Tata Steel
Location
Jamshedpur, India
Duration
12 months
Team Size
20 experts
99.8%
Uptime
₹200Cr
Cost Savings
85%
Less Downtime
8
Plants Deployed
The Challenge
Manufacturing facilities faced unexpected equipment failures causing costly downtime. Traditional maintenance schedules were inefficient and reactive.
Our Solution
- IoT sensor integration for real-time monitoring
- Predictive maintenance ML models
- Automated alert system for potential failures
- Maintenance scheduling optimization
The Results
Achieved 99.8% uptime across 8 plants, saved ₹200Cr in maintenance costs, and reduced unplanned downtime by 85%.
Technologies Used
IoTPredictive MaintenancePythonTensorFlowAzure IoT