Smart Factory-Essentials
Smart Factory fundamentals in one day: where OT and IT meet, how production data flows, where AI fits in the loop.
Trainings
Unlocking Smart Factory Excellence: A Collaborative Learning Endeavor
Welcome to our “Smart Factory Analytics” training series – a collaboration between DATATRONiQ and AdvancedAnalytics.Academy.
DATATRONiQ brings hands-on expertise in the Industrial Internet of Things (IIoT) and implementing data-driven solutions in production environments. AdvancedAnalytics.Academy contributes years of experience in Big Data analytics and practical data science training.
This combination enables a unique learning approach: industrial expertise meets educational excellence. You’ll gain not just theoretical knowledge, but learn to apply advanced analytics and machine learning directly in your production environment.
In this training series, you’ll acquire the tools and methods to systematically unlock the potential of your production data – from data acquisition through analysis to implementing tangible improvements.
Programme
Python for Smart Factory Analytics
Python for production data — the foundational course in the AAA Smart Factory series. Hands-on with Pandas for data handling, Matplotlib and Seaborn for visualisation.
Predictive Maintenance
Predictive maintenance in two days: workflow, root-cause analysis, anomaly detection, and Explainable AI on real IIoT datasets in Python.
AI-based Quality Control
AI-driven quality control alongside Statistical Process Control and Six Sigma — where each method fits, where they reinforce each other.
Process Mining & Value Stream Mapping
Process mining and value-stream mapping in two days: Lean Management methods paired with event-log analysis to find bottlenecks and rebuild flow.
Statistical Process Control
Statistical Process Control for the modern Smart Factory: classical SPC applied to full live datasets rather than periodic samples — real-time monitoring, finer detection thresholds.
Digital Signal-Processing
Digital Signal Processing for industrial signals — vibration, torque, and more: resampling, spectral analysis, denoising, real-time decisions on the live stream.