Problem
Develop production-ready dashboards that consolidate operational data, identify anomalies, and enable data-driven decisions.
- +Limited visibility: Teams can't see equipment degradation early.
- +Reactive maintenance: No early warning indicators leads to unplanned downtime.
- +Data silos: Equipment data exists in separate systems preventing benchmarking.
Approach
- +Inefficiency Time Analysis: Tracks and categorizes non-productive time.
- +Normalized Performance Dashboard: Compares actual vs. baseline performance.
- +Sensor Trend Analysis: Visualizes 200+ sensors to detect drift.
- +Alarm Root Cause Tracker: Links inefficiency events to specific alarms.
Delivered
- +Web-based interactive dashboards with drill-down capabilities.
- +Python ETL scripts for daily data updates.
- +Automated baseline calculations for performance tracking.
Result
- +Daily operational use by management for decision making.
- +Procedure improvements (e.g., cleaning frequency optimized based on data).
- +Proactive maintenance enabled by sensor thresholds rather than fixed intervals.
Where it ran
- +Daily Operations: Identify underperforming equipment.
- +Maintenance Planning: Prioritize based on trends.
- +Product-Equipment Optimization: Discover problem recipes.
Stack
Real-time Dashboards · Sensor Analytics · ETL Pipelines · Root Cause Analysis
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