A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

  • 5h 17m
  • Harish Garg, Jyotir Moy Chatterjee, R. N. Thakur
  • John Wiley & Sons (US)
  • 2023

A ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE

The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0.

The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation.

Audience

Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.

About the Author

Jyotir Moy Chatterjee is an assistant professor in the Information Technology department at Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal. He has published more than 60 research papers in international publications, three conference papers, three authored books, 10 edited books, 16 book chapters, two Master’s theses converted into books, and one patent.

Harish Garg, PhD, is an associate professor at Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India. His research interests include soft computing, decision-making, aggregation operators, evolutionary algorithm, expert systems, and decision support systems. He has published more than 300 papers published in refereed international journals. Dr. Garg is the Editor-in-Chief of Annals of Optimization Theory and Practice.

R N Thakur, PhD, is a senior lecturer in the Information Technology Department, Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal. He has published about 20 research articles in various journals.

In this Book

  • Artificial Intelligence—The Driving Force of Industry 4.0
  • Industry 4.0, Intelligent Manufacturing, Internet of Things, Cloud Computing—An Overview
  • Artificial Intelligence of Things (AIoT) and Industry 4.0–Based Supply Chain (FMCG Industry)
  • Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0
  • Integrating IoT and Deep Learning— The Driving Force of Industry 4.0
  • A Systematic Review on Blockchain Security Technology and Big Data Employed in Cloud Environment
  • Deep Learning Approach to Industrial Energy Sector and Energy Forecasting with Prophet
  • Application of Novel AI Mechanism for Minimizing Private Data Release in Cyber-Physical Systems
  • Environmental and Industrial Applications Using Internet of Things (IoT)
  • An Introduction to Security in Internet of Things (IoT) and Big Data
  • Potential, Scope, and Challenges of Industry 4.0
  • Industry 4.0 and Manufacturing Techniques—Opportunities and Challenges
  • The Role of Multiagent System in Industry 4.0
  • An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for Security
  • Market Trends with Cryptocurrency Trading in Industry 4.0
  • Blockchain and Its Applications in Industry 4.0
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