Predictive Analytics: Modeling and Optimization

289 Pages·2021·5.611 MB·English

by  Vijay Kumar, Mangey Ram

Predictive Analytics
Advanced Research in Reliability and System Assurance Engineering
Series Editor: Mangey Ram, Professor, Assistant Dean (International Affairs),
Department of Mathematics, Graphic Era University, Dehradun, India
Reliability Engineering
Theory and Applications
Edited by Ilia Vonta and Mangey Ram
Modeling and Simulation Based Analysis in Reliability Engineering
Edited by Mangey Ram
For more information about this series, please visit: https://www.crcpress.com/
Reliability-Engineering-Theory-and-Applications/Vonta-Ram/p/book/9780815355175
Predictive Analytics
Modeling and Optimization
Edited by
Vijay Kumar
and
Mangey Ram
First edition published 2021
by CRC Press
6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742
and by CRC Press
2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN
© 2021 selection and editorial matter, Vijay Kumar and Mangey Ram; individual chapters, the contributors
CRC Press is an imprint of Taylor & Francis Group, LLC
The right of Vijay Kumar and Mangey Ram to be identified as the authors of the editorial material, and of
the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the
Copyright, Designs and Patents Act 1988.
Reasonable efforts have been made to publish reliable data and information, but the author and publisher
cannot assume responsibility for the validity of all materials or the consequences of their use. The authors
and publishers have attempted to trace the copyright holders of all material reproduced in this publication
and apologize to copyright holders if permission to publish in this form has not been obtained. If any
copyright material has not been acknowledged please write and let us know so we may rectify in any
future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced,
transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter
invented, including photocopying, microfilming, and recording, or in any information storage or retrieval
system, without written permission from the publishers.
For permission to photocopy or use material electronically from this work, access www.copyright.com or
contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-
8400. For works that are not available on CCC please contact [email protected]
Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used
only for identification and explanation without intent to infringe.
Library of Congress Cataloging-in-Publication Data
Names: Kumar, Vijay, editor. | Ram, Mangey, editor.
Title: Predictive analytics : modeling and optimization / edited by Vijay
Kumar and Mangey Ram.
Description: First edition. | Boca Raton, FL : CRC Press/Taylor & Francis
Group, LLC, 2021. | Series: Advanced research in reliability and system
assurance engineering | Includes bibliographical references and index.
Identifiers: LCCN 2020038821 (print) | LCCN 2020038822 (ebook) | ISBN
9780367537463 (hardback) | ISBN 9781003083177 (ebook)
Subjects: LCSH: Engineering--Data processing. | Predictive analytics.
Classification: LCC TA340 .P726 2021 (print) | LCC TA340 (ebook) | DDC
003/.2--dc23
LC record available at https://lccn.loc.gov/2020038821
LC ebook record available at https://lccn.loc.gov/2020038822
ISBN: 978-0-367-53746-3 (hbk)
ISBN: 978-1-003-08317-7 (ebk)
Typeset in Times
by SPi Global, India
Contents
Preface......................................................................................................................vii
Acknowledgements ...................................................................................................ix
Contributors ..............................................................................................................xi
Editors ....................................................................................................................xiii
Chapter 1 Role of MCDM in Software Reliability Engineering ..........................1
Rana Majumdar, Subhrapratim Nath, and Vijay Kumar
Chapter 2 Fault Tree Analysis of a Computerized Numerical
Control Turning Center ......................................................................19
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 ..........31
Murray V. Calichman
Chapter 4 Reducing the Deterioration Rate of Inventory through
Preservation Technology Investment under Fuzzy and
Cloud Fuzzy Environment ..................................................................65
Nita H. Shah and Milan B. Patel
Chapter 5 Image Formation Using Deep Convolutional
Generative Adversarial Networks ......................................................81
Astha Bathla and Aakanshi Gupta
Chapter 6 Optimal Preservation Technology Investment and Price for the
Deteriorating Inventory Model with Price-Sensitivity
Stock-Dependent Demand ..................................................................89
Nita H. Shah and Chetansinh R. Vaghela
Chapter 7 EOQ with Shortages and Learning Effect ..........................................99
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 ..................................................................113
Nita H. Shah, Digeshkumar B. Shah, and Dushyantkumar G. Patel
v
vi Contents
Chapter 9 Information Visualization: Perception and Limitations
for Data-Driven Designs ...................................................................127
Sadia Riaz, Arif Mushtaq, and Maninder Jeet Kaur
Chapter 10 IoT, Big Data, and Analytics – Challenges and Opportunities .........151
Priyanka Vashisht, Vijay Kumar, and Meghna Sharma
Chapter 11 Multiple-Criteria Decision Analysis Using VLSI
Global Routing ...................................................................................179
Subhrapratim Nath and Rana Majumdar
Chapter 12 Application of IoT in Water Supply Management ...........................199
Reshu Agarwal, Adarsh Dixit, and Shylaja Vinaykumar Karatangi
Chapter 13 A Hybrid Approach for Video Indexing Using Computer
Vision and Speech Recognition ........................................................213
Saksham Jain, Akshit Pradhan, and Vijay Kumar
Chapter 14 Statistical Methodology for Software Reliability
with Environmental Factors .............................................................227
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 ....................261
Suyog S. Patil, Anand K. Bewoor, Rajkumar Bhimgonda Patil,
and Mohamed Arezki Mellal
Index ......................................................................................................................273
Preface
Technological innovation has created opportunities to monitor and measure the per-
formance of engineering systems with broader enterprise operations, such as manu-
facturing operations, service logistics, maintenance management, and after-sales
services. The technological revolution demands methodologies and solutions which
are capable of analysing and modelling to support and facilitate optimal decision-
making policies. Combined with state-of-the-art, real-time optimization techniques,
nearly instantaneous decisions can be computed in fast-changing business environ-
ments unlocking significant cost-savings. Thus predictive analytics plays a vital role
in technological innovation. Predictive analytics is the practice of extracting informa-
tion from existing data sets in order to determine patterns and predict future out-
comes and trends. Predictive analytic tools are capable of synthesizing and extracting
information from existing systems to the forecast future performance of systems.
Optimization models compute optimal decisions by leveraging the information
embedded in the data. The development of modern methodologies allows for effi-
cient updating when information changes, as well as automatic model calibration
using techniques from machine learning, information theory, and statistics.
This book presents state-of-the-art predictive analytics and optimization in the areas
of system reliability, quality, supply chain management, and logistics. This book helps
companies overcome the challenges posed by increasingly complex systems in today’s
competitive marketplace. Examining both research on and practical aspects of prod-
ucts, the book features contributions written by active researchers and/or experienced
practitioners in the field so as to effectively bridge the gap between theory and practice
and address new research challenges in system reliability, quality, supply chain man-
agement, and logistics management in practice. The topic is also covered in most of the
international scientific conferences, seminars, and workshops. These facts provide suf-
ficient evidence for the increasing interest in this scientific area. All the chapters in the
book are written by leading researchers and practitioners in their respective fields of
expertise and present various innovative methods, approaches, and solutions not cov-
ered before in the literature.
The book would be useful to senior graduate and postgraduate students, as well as
research scholars. Of course, it can also be used as a reference book by academicians,
scientists, engineers, and managers working in different organizations.
Vijay Kumar
Department of Mathematics,
Amity Institute of Applied Sciences,
Amity University Uttar Pradesh, Noida-201313, India
Mangey Ram
Graphic Era Deemed to be University,
Dehradun, India
vii

Acknowledgements
The editors acknowledge CRC Press for this opportunity and professional support.
Also, we would like to thank all the chapter authors and reviewers for their availabil-
ity for this work.
ix