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.
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