Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples.
It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.
The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
| ISBN: | 9780367537463 |
| Publication date: | 14th January 2021 |
| Author: | Vijay Kumar, Mangey Ram |
| Publisher: | CRC Press |
| Format: | Hardback |
| Pagination: | 282 pages |
| Series: | Advanced Research in Reliability and System Assurance Engineering |
| Genres: |
Product design Production and quality control management Purchasing and supply management Risk assessment Mathematical modelling Automatic control engineering Data mining Artificial intelligence Engineering: general Mechanical engineering Calculus and mathematical analysis |