Guide to Industrial Analytics [E-Book] : Solving Data Science Problems for Manufacturing and the Internet of Things / by Richard Hill, Stuart Berry.
Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low cost, accessible computing and storage through the Industrial Internet of Things (IIoT) has generated considerable interest in innovative approaches to doing more wit...
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Full text |
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| Personal Name(s): | Hill, Richard, author |
| Berry, Stuart, author | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XXV, 275 pages 172 illustrations, 108 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030791049 |
| DOI: |
10.1007/978-3-030-79104-9 |
| Series Title: |
Texts in Computer Science
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| Subject (LOC): |
- 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.