1st Edition
Intelligent Manufacturing and Industry 4.0 Impact, Trends, and Opportunities
The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization and improved quality with the help of advanced and smart technologies. It describes cyber-physical systems and the whole product life cycle along with a variety of smart sensors, adaptive decision models, high-end materials, smart devices, and data analytics.
Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent manufacturing and the design of smart devices and products that meets the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing. The usage of advanced smart and sensing technologies in intelligent manufacturing for healthcare solutions is discussed as well. Popular use cases and case studies related to intelligent manufacturing are addressed to provide a better understanding.
This publication is ideally designed for use by technology development practitioners, academicians, data scientists, industry professionals, researchers, and students interested in uncovering the latest innovations in the field of intelligent manufacturing.
v. Prelims
1. Intelligent Manufacturing: Components, Challenges, and Opportunities by Ritu Gautam Prableen Kaur Manik Sharma, Alka Chaudhary, and Vandana Sharma
2. Navigating the Future of Intelligent and Smart Manufacturing: A Comprehensive Bibliometric Analysis (2012–2024) by Dr. Upinder Kaur, and Dr. Vandana Sharma,
3. Amalgamation of Disruptive Technologies for Implementation of Intelligent Manufacturing Professor Nidhi Agarwal, Dr Archana Singh, Mary Cade T. Ambojia
4. Architectural Designs and Implementations in Intelligent Manufacturing by Shivangi Mishra, Vindana Sharma, and Alka Chaudhary
5. Digital Twin Technology for Intelligent Manufacturing by Shuchi Sethi, Naeem Ahmad, Seema Rani, Misbah Anjum
6. Intelligent Load Migration Using Federated Learning in Intelligent Manufacturing by Gautam Samblani, Devershi Pallavi Bhatt
7. Challenges and Issues in Securing Intelligent Manufacturing Systems by Aparna Sharma, Mahima Shanker Pandey
8. Multi-Factor Authentication Methods for Intelligent Manufacturing by Shreya Kagrawal, Dr. Sarvesh Tanwar, and Ms. Shivangi Mishra
9. Light-Weight Algorithms for Enhanced Privacy and Encryption Techniques for IoT-Based Intelligent Manufacturing by Gautam Samblani and Devershi Pallavi Bhatt
10. Implementation of Intelligent Manufacturing Using Cyber-Physical Systems (CPS) by Shreya Kagrawal Dr. Sarvesh Tanwar, and Shivangi Mishra
11. Use Cases of Intelligent Manufacturing. Shivam Goel, Alka Chaudhary, and Vandana Sharma
12. Case Studies of Next-Generation AI for Intelligent Manufacturing by Gautam Samblani and Devershi Pallavi Bhatt
Biography
Alka Chaudhary received her Ph.D. (Computer Science and Engineering) from Manipal University Jaipur, Rajasthan in 2016. She has completed her M. Tech. (CSE) from Jagannath University Jaipur, Rajasthan. She has joined Amity Institute of Information Technology (AIIT), Amity University Noida, Uttar Pradesh in August 2019 and working as Assistant Professor Grade-III. She is also working as Head of the AUN IoT and Sensor Network Research Lab at AIIT. Her research interests include Security of Wireless Networks, IoT, Artificial Intelligence, and Soft Computing Techniques. She has published more than 50 research papers in international journals and conferences Indexed in Scopus and SCIE. She has filed 11 patents and 1 copyright in the field of AI and IoT. She received a young scientist award from VDGOOD Professional Association in 2021. She has completed many certification courses from CISCO NetAcad and working as a Cisco Instructor. Currently, she is guiding four research scholars. She is a member of ACM, ACM-W, IAENG, and the Internet Society. She acts as a reviewer for many journals such as IEEE Access, Ad hoc Networks Elsevier, and NETNOMICS Springer.
Vandana Sharma is an Associate Professor at Amity Institute of Information Technology, Amity University Noida Campus, India. She is an honorary Adjunct Professor and Senior Fellow of the Scientific Innovation Research Group (SIRG) at Beni Suef University, Egypt. Dr. Sharma has served NAAC-accredited A++ institutions like Guru Gobind Singh Indraprastha University, Delhi, and Galgotias University, Greater Noida Campus. Dr. Sharma has 14+ years of teaching experience at the postgraduate level and has guided 100+ student dissertations. She obtained her doctoral, M.Tech, and B.E-Com degrees from Guru Gobind Singh Indraprastha University, a Delhi state university. She is a Senior Member of IEEE and as a keen researcher, she has published 40+ research papers in SCI and Scopus Indexed international journals and conferences. Dr. Sharma has contributed voluntarily as a Reviewer and Technical Program Committee (TPC) member for reputed International Journals and IEEE Conferences and has presented her work across India and abroad. Currently, she is a post-doctoral fellow at Lincoln University College, Malaysia. Her primary areas of interest include Artificial Intelligence, Blockchain Technology, and the Internet of Things (IoT).
Ahmed Alkhayyat received a B.Sc. degree in electrical engineering from AL KUFA University, Najaf, Iraq, in 2007, an M.Sc. degree from the Dehradun Institute of Technology, Dehradun, India, in 2010, and Ph.D. from Cankaya University, Ankara, Turkey, in 2015. He contributed to organizing several IEEE conferences, workshops, and special sessions. He is currently a dean of international relationships and manager of the world ranking at the Islamic university, in Najaf, Iraq. To serve my community, I acted as a reviewer for several journals and conferences. His research interests include IoT in the healthcare system, SDN, network coding, cognitive radio, efficient-energy routing algorithms, and efficient-energy MAC protocol in cooperative wireless networks and wireless body area networks, as well as cross-layer designing for self-organized networks.
