Predictive Analytics: Modeling and Optimization

by Vijay Kumar (Editor), Mangey Ram (Editor)

Overview

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.

Product Details

ISBN-13:	9780367537487
Publisher:	CRC Press
Publication date:	10/07/2024
Series:	Advanced Research in Reliability and System Assurance Engineering
Pages:	288
Product dimensions:	6.12(w) x 9.19(h) x (d)

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.

Table of Contents

Preface vii

Acknowledgements ix

Contributors xi

Editors xiii

Chapter 1 Role of MCDM in Software Reliability Engineering Rana Majumdar Subhrapratim Nath Vijay Kumar 1

Chapter 2 Fault Tree Analysis of a Computerized Numerical Control Turning Center Rajkumar Bhimgonda Patil Mohamed Arezki Mellal 19

Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patient Overcrowding Murray V. Calichman 31

Chapter 4 Reducing the Deterioration Rate of Inventory through Preservation Technology Investment under Fuzzy and Cloud Fuzzy Environment Nita H. Shah Milan B. Patel 65

Chapter 5 Image Formation Using Deep Convolutional Generative Adversarial Networks Astha Bathla Aakanshi Gupta 81

Chapter 6 Optimal Preservation Technology Investment and Price for the Deteriorating Inventory Model with Price-Sensitivity Stock-Dependent Demand Nita H. Shah Chetansinh R. Vaghela 89

Chapter 7 EOQ with Shortages and Learning Effect Isha Sangal Mahesh Kumar Jayaswal Rita Yadav Mandeep Mittal Faizan Ahmad Khan 99

Chapter 8 Optimal Production-Inventory Policies for Processed Fruit Juices Manufacturer and Multi-retailers with Trended Demand and Quality Degradation Nita H. Shah Digeshkumar B. Shah Dushyantkumar G. Patel 113

Chapter 9 Information Visualization: Perception and Limitations for Data-Driven Designs Sadia Riaz Arif Mushtaq Maninder Jeet Kaur 127

Chapter 10 IoT, Big Data, and Analytics - Challenges and Opportunities Priyanka Vashisht Vijay Kumar Meghna Sharma 151

Chapter 11 Multiple-Criteria Decision Analysis Using VLSI Global Routing Subhrapratim Nath Rana Majumdar 179

Chapter 12 Application of IoT in Water Supply Management Reshu Agarwal Adarsh Dixit Shylaja Vinaykumar Karatangi 199

Chapter 13 A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition Saksham Jain Akshit Pradhan Vijay Kumar 213

Chapter 14 Statistical Methodology for Software Reliability with Environmental Factors R. Jeromia Muthuraj A. Mohamed Ashik A. Loganathan 227

Chapter 15 Maintenance Data-Trends Based Reliability Availability and Maintainability (RAM) Assessment of a Steam Boiler Suyog S. Patil Anand K. Bewoor Rajkumar Bhimgonda Patil Mohamed Arezki Mellal 261

Index 273