🏭 SS Industrial Ops Analytics
From Factory Data to Operational Intelligence
Industrial Ops Analytics Playlist
Explore the complete demo series — data generation, analytics dashboards, testing workflows and streaming pipelines.
✨ Turning production data into actionable manufacturing insights.
🟢 What the Platform Delivers
- 📊 OEE Intelligence — Availability × Performance × Quality
- ⚙️ Production Analytics — Trends, line comparisons and production counts
- 🤖 Predictive Maintenance — ML-based machine failure-risk prediction
- 🛠️ Downtime Analytics — Pareto analysis and root-cause insights
- 🔬 Quality Analytics — Rejection rates and shift/product comparisons
- 🚧 Bottleneck Detection — Identify production constraints and capacity impact
🔵 From Data to Insights
The platform supports both batch processing and simulated real-time event streaming, with data flowing through:
For streaming:
🟣 Application Modules
| 📈 Executive Summary | ⚙️ Production |
| 📊 OEE | 💻 Machine Health |
| 🤖 Predictive Maintenance | 🔬 Quality |
| ⏱️ Downtime | 🚧 Bottlenecks |
| ✅ Data Quality | ❤️ System Health |
🟠 Quality Engineering
The demo also showcases analytics unit testing and coverage reporting, followed by upcoming demonstrations of:
- ✅ Data analytics testing
- ✅ Integration testing
- ✅ Contract testing
- ✅ Playwright End-to-End testing
- ✅ Batch & live-streaming validation
- ✅ CI/CD automation and security scanning
🚀 Technology Stack
PostgreSQL Python FastAPI React/TypeScript Kafka Spark scikit-learn Docker CI/CD
🎯 The vision is simple: connect industrial data, analytics and AI to help teams understand performance, downtime, quality, machine health and production bottlenecks in one operational intelligence platform.
This is the beginning of a demo series covering the complete journey — from data generation and analytics to automated testing, streaming and CI/CD.
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