1st Edition

Predictive Analytics Modeling and Optimization

Edited By Vijay Kumar, Mangey Ram Copyright 2021
    288 Pages 50 B/W Illustrations
    by CRC Press

    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.

    Chapter 1 Role of MCDM in Software Reliability Engineering

    [Rana Majumdar, Subhrapratim Nath, and Vijay Kumar]

    Chapter 2 Fault Tree Analysis of a Computerized Numerical

    Control Turning Center

    [Rajkumar Bhimgonda Patil and Mohamed Arezki Mellal]

    Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full

    Utilization of Resources and Eliminate Patient Overcrowding

    [Murray V. Calichman]

    Chapter 4 Reducing the Deterioration Rate of Inventory through

    Preservation Technology Investment under Fuzzy and

    Cloud Fuzzy Environment

    [Nita H. Shah and Milan B. Patel]

    Chapter 5 Image Formation Using Deep Convolutional

    Generative Adversarial Networks

    [Astha Bathla and Aakanshi Gupta]

    Chapter 6 Optimal Preservation Technology Investment and Price for the

    Deteriorating Inventory Model with Price-Sensitivity Stock-

    Dependent Demand

    [Nita H. Shah and Chetansinh R. Vaghela]

    Chapter 7 EOQ with Shortages and Learning Effect

    [Isha Sangal, Mahesh Kumar Jayaswal, Rita Yadav,

    Mandeep Mittal, and Faizan Ahmad Khan]

    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, and Dushyantkumar G. Patel]

    Chapter 9 Information Visualization: Perception and Limitations

    for Data-Driven Designs

    [Sadia Riaz, Arif Mushtaq, and Maninder Jeet Kaur]

    Chapter 10 IoT, Big Data, and Analytics – Challenges and Opportunities

    [Priyanka Vashisht, Vijay Kumar, and Meghna Sharma]

    Chapter 11 Multiple-Criteria Decision Analysis Using VLSI

    Global Routing

    [Subhrapratim Nath and Rana Majumdar]

    Chapter 12 Application of IoT in Water Supply Management

    [Reshu Agarwal, Adarsh Dixit, and Shylaja Vinaykumar Karatangi]

    Chapter 13 A Hybrid Approach for Video Indexing Using Computer

    Vision and Speech Recognition

    [Saksham Jain, Akshit Pradhan, and Vijay Kumar]

    Chapter 14 Statistical Methodology for Software Reliability

    with Environmental Factors

    [R. Jeromia Muthuraj, A. Mohamed Ashik, and A. Loganathan]

    Chapter 15 Maintenance Data-Trends Based Reliability Availability and

    Maintainability (RAM) Assessment of a Steam Boiler

    [Suyog S. Patil, Anand K. Bewoor, Rajkumar B. Patil, and

    Mohamed Arezki Mellal]


    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.