1st Edition
Industry 4.0, Smart Manufacturing, and Industrial Engineering Challenges and Opportunities
Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering.
Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness.
The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.
Chapter 1
Introduction to Industry 4.0
Dibyendu Mukherjee and Bijoy Kumar Mandal
Chapter 2
Security Concerns and Controls of Intelligent Cobots of Industry 4.0
Lakshmi Sravani Thummapudi, Aswani Kumar Cherukuri, and Thong Chee Ling
Chapter 3
Big Data Analytics (BDA) for Industry 5.0
Sharmila Rathod, Priya Parate, Nilesh Rathod, and Samrudh Wagh
Chapter 4
Machine Learning—Enabled Predictive Analytics for Quality Assurance in Industry 4.0 and Smart Manufacturing: A Case Study on Red and White Wine Quality Classification
J. Olalekan Awujoola, T. Aniemeka Enem, F. N. Ogwueleka, O. Abioye, and R. Olayinka Adelegan
Chapter 5
Leveraging Clustering Algorithms for Predictive Analytics in Blockchain Networks
Rahul K. Patel, Nikunj R. Patel, and Yugen Chokshi
Chapter 6
Use of Digital Twin and Internet of Vehicles Technologies for Smart Electric Vehicles in the Manufacturing Industry
Richa Singh and Rekha Kashyap
Chapter 7
AI Applications in Production
Arti Singh, Archana Jadhav, and Prachi Singh
Chapter 8
IoT-Driven Supply Chain Management: A Comprehensive Framework for Smart and Sustainable Operations
Shirly Sudhakaran, R. Maheswari, and Sharath Kumar Jagannathan
Chapter 9
Supply Chain Management in the Digital Age for Industry 4.0
Nikunj R. Patel
Chapter 10
Artificial Intelligence, Computer Vision and Robotics for Industry 5.0
Gouthaman P., Rajasegar Rajendhiran Shanthi, Vijayakumar Ponnusamy, Arivazhagan N., and Nallarasan V.
Chapter 11
Data Analytics and Decision-Making in Industry 4.0
Amol P. Bhagat, Shrikant M. Harle, Chetan R. Ingole, and Vishalsinh V. Bais
Chapter 12
Evolving Landscape of Industrial Engineering in the Modern Era
Ida Hector, Rukmani P., and Benson Edwin Raj
Chapter 13
Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing
Vijayakumar Ponnusamy, Dilliraj Ekambaram, and Nemanja Zdravkovic
Chapter 14
Smart Manufacturing: Navigating Challenges, Seizing Opportunities, and Charting Future Directions—A Comprehensive Review
Mrutyunjaya S. Hiremath, Praveen N., Lipsa Subhadarshini, Sujith Kumar Sivanandan, Jayaprada S. Hiremath, and Shantala S. Hiremath
Chapter 15
Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare
Priyanga Subbiah, Krishnaraj Nagappan, Tamil Selvi A., Poornima, and Kiran Bellam
Chapter 16
Artificial Intelligence-Based Anomaly Detection for Industry 4.0: A Sustainable Approach
R. Ravinder Reddy, T. Sridevi, Ravi Uyyala, and Amit Kumar Tyagi
Chapter 17
Future of Industry 5.0 in Society 5.0: Human-Computer Interaction-Based Solutions for Next Generation
Amit Kumar Tyagi and Meghna Manoj Nair
Chapter 18
The Future of Manufacturing and Artificial Intelligence: Industry 6.0 and Beyond
Priyanga Subbiah, Amit Kumar Tyagi, and Bireshwar Dass Mazumdar
Biography
Amit Kumar Tyagi is an Assistant Professor, at the National Institute of Fashion Technology, New Delhi, India. Previously he worked as an Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India from 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009 to 2010, and 2012 to 2013. He was an Assistant Professor and head researcher at Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), India from 2018 to 2019. He supervised one PhD thesis and more than ten Master dissertations. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber-Physical Systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles won best paper awards. Also, he has filed more than 25 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber-Physical Systems, and Computer Vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Additionally, he has authored 4 Books on Intelligent Transportation Systems, Vehicular Ad-hoc Network, Machine learning and Internet of Things, with IET UK, Springer Germany, and BPB India publisher. He won the Faculty Research Award of the Year for 2020, 2021, and 2022 consecutively, given by Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for his paper “A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient”, in ICCSA 2020, Italy (Europe). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, Universal Scientific Education and Research Network, CSI, and ISTE.
Shrikant Tiwari (Senior Member, IEEE) received his Ph.D. in the Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012 and his M. Tech. in Computer Science and Technology from the University of Mysore (India) in 2009. Currently, he is working as an Associate Professor in the Department of Computer Science & Engineering (CSE) School of Computing Science and Engineering (SCSE) at Galgotias University (India). He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a member of ACM, IET, FIETE, CSI, ISTE, IAENG, SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.
Sayed Sayeed Ahmad is a seasoned academician with nearly 20 years of experience in the educational sector across the UAE. He earned his Ph.D. in Management from Banasthali Vidyapith, India, and another Ph.D. in Computer Science and Engineering from Integral University, India. Dr. Ahmad has served at prestigious institutions like De Montfort University Dubai, Rochester Institute of Technology Dubai, University of Dubai, and Al Ghurair University Dubai, showcasing his expertise in a wide array of subjects from machine learning to computer engineering. His contributions extend beyond teaching to include curriculum development, quality assurance, and research with publications and patents in advanced technology fields.
