Intelligent Manufacturing and Industry 4.0 (eBook, ePUB)

Impact, Trends, and Opportunities
Redaktion: Chaudhary, Alka; Alkhayyat, Ahmed; Sharma, Vandana

• Format: ePub

Produktbeschreibung

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 meet 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 of this topic.

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.

Features:

• Presents cutting-edge manufacturing technologies and information to maximise product exchanges and production
• Discusses the improvement in service quality, product quality, and production effectiveness
• Conveys how a manufacturing company's competitiveness can increase if it can manage the turbulence and changes in the global market
• Presents how intelligence production is essential in Industry 4.0 and how Industry 4.0 offers greater manufacturing flexibility, as well as widespread customisation, improved quality, and increased productivity
• Covers the ways businesses handle the challenges of generating an increasing number of customised items with quick time to market and greater quality
• Includes popular use cases and case studies related to intelligent manufacturing to provide a better understanding of this discipline

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 27. November 2024
• Englisch
• ISBN-13: 9781040154472
• Artikelnr.: 72289844

Autorenporträt

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.

Inhaltsangabe

1. Intelligent Manufacturing: Components, Challenges, and Opportunities 2.
Navigating the Future of Intelligent and Smart Manufacturing: A
Comprehensive Bibliometric Analysis (2012-2024) 3. Amalgamation of
Disruptive Technologies for Implementation of Intelligent Manufacturing 4.
Digital Twin Technology for Intelligent Manufacturing 5. Intelligent Load
Migration Using Federated Learning in Intelligent Manufacturing 6.
Challenges and Issues in Securing Intelligent Manufacturing Systems 7.
Multi-Factor Authentication Methods for Intelligent Manufacturing 8.
Light-Weight Algorithms for Enhanced Privacy and Encryption Techniques for
IoT-Based Intelligent Manufacturing 9. Implementation of Intelligent
Manufacturing Using Cyber-Physical Systems (CPS) 10. Use Cases of
Intelligent Manufacturing 11. Case Studies of Next-Generation AI for
Intelligent Manufacturing by Gautam