Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of T
Lieferzeit: 7-14 Werktage
- Artikel-Nr.: 10430483
Beschreibung
1. Introduction to Industrial Analytics.- 2. Measuring Performance.- 3. Modelling and Simulating Systems.- 4. Optimising Systems.- 5. Production Control and Scheduling.- 6. Simulating Demand Forecasts.- 7. Investigating Time Series Data.- 8. Determining the Minimum Information for Effective Control.- 9. Constructing Machine Learning Models for Prediction.- 10. Exploring Model Accuracy.- 11. Building a Business Case for Sensing Technology Adoption.- 12. Improving Throughput by Utilising Sensor Data.- 13. Constructing a Digital Factory Model to Optimise Production.- 14. Examining a Digital Supply Chain.- 15. Probability Essentials.- 16. Building Simulations with Spreadsheets.- 17. Using Python to Construct Manufacturing Models.- 18. Predictive Analytics with KNIME.- 19. Using R to Evaluate Data.- 20. Example Case Study Data.
Eigenschaften
Breite: | 155 |
Höhe: | 235 |
Seiten: | 274 |
Sprachen: | Englisch |
Autor: | Richard Hill, Stuart Berry |