Predictive Analytics : Modeling and Optimization

Vijay Kumar

ISBN 10: 036753746X / ISBN 13: 9780367537463

Published by CRC Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780367537463

Bibliographic Details

• Title: Predictive Analytics : Modeling and Optimization
• Publisher: CRC Press
• Publication Date: 2021
• Language: English
• ISBN 10: 036753746X
• ISBN 13: 9780367537463
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 20D millimeters 240 millimeters width by 161 millimeters height by 20 millimeters depth
• Weight: 602 grams

About this title

Synopsis

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.

About the Author

Dr. Vijay Kumar received his M.Sc. in Applied Mathematics and M.Phil. in Mathematics from Indian Institute of Technology (IIT), Roorkee, India in 1998 and 2000, respectively. He has completed his PhD from the Department of Operational Research, University of Delhi. Currently, He has published more than 40 research papers in the areas of software reliability, mathematical modeling and optimization in international journals and conferences of high repute. His current research interests include software reliability growth modelling, optimal control theory and marketing models in the context of innovation diffusion theory. He has reviewed many papers for IEEE Trans. on Reliability, Soft Computing (Springer), IJRQSE, IJQRM, IJSAEM and other reputed journals. He has edited special issues of IJAMS and RIO journal. He is an editorial board member of IJMEMS. He is a life member of Society for Reliability Engineering, Quality and Operations Management (SREQOM) and IEEE. Dr. Mangey Ram received his Ph.D., major with Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar in 2008. He is an editorial board member in many international journals. He has published 130 research publications in national and international journals of repute. His fields of research are Operations Research, Reliability Theory, Fuzzy Reliability, and System Engineering. Currently, he is working as a Professor at Graphic Era University.