A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

by Jyotir Moy Chatterjee, Harish Garg, R. N. Thakur
Released February 2023
Publisher(s): Wiley-Scrivener
ISBN: 9781119904854

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Book description

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.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Preface
  6. 1 Artificial Intelligence—The Driving Force of Industry 4.0
    1. 1.1 Introduction
    2. 1.2 Methodology
    3. 1.3 Scope of AI in Global Economy and Industry 4.0
    4. 1.4 Artificial Intelligence—Manufacturing Sector
    5. 1.5 Conclusion
    6. References
  7. 2 Industry 4.0, Intelligent Manufacturing, Internet of Things, Cloud Computing: An Overview
    1. 2.1 Introduction
    2. 2.2 Industrial Transformation/Value Chain Transformation
    3. 2.3 IIoT Reference Architecture
    4. 2.4 IIoT Technical Concepts
    5. 2.5 IIoT and Cloud Computing
    6. 2.6 IIoT and Security
    7. References
  8. 3 Artificial Intelligence of Things (AIoT) and Industry 4.0–Based Supply Chain (FMCG Industry)
    1. 3.1 Introduction
    2. 3.2 Concepts
    3. 3.3 AIoT-Based Supply Chain
    4. 3.4 Conclusion
    5. References
  9. 4 Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0
    1. 4.1 Introduction
    2. 4.2 Literature Review
    3. 4.3 Application of Artificial Intelligence in Supply Chain Demand Forecasting
    4. 4.4 Proposed Approach
    5. 4.5 Discussion and Conclusion
    6. References
  10. 5 Integrating IoT and Deep Learning— The Driving Force of Industry 4.0
    1. 5.1 Motivation and Background
    2. 5.2 Bringing Intelligence Into IoT Devices
    3. 5.3 The Foundation of CR-IoT Network
    4. 5.4 The Principles of Deep Learning and Its Implementation in CR-IoT Network
    5. 5.5 Realization of CR-IoT Network in Daily Life Examples
    6. 5.6 AI-Enabled Agriculture and Smart Irrigation System—Case Study
    7. 5.7 Conclusion
    8. References
  11. 6 A Systematic Review on Blockchain Security Technology and Big Data Employed in Cloud Environment
    1. 6.1 Introduction
    2. 6.2 Overview of Blockchain
    3. 6.3 Components of Blockchain
    4. 6.4 Safety Issues in Blockchain Technology
    5. 6.5 Usage of Big Data Framework in Dynamic Supply Chain System
    6. 6.6 Machine Learning and Big Data
    7. 6.7 Advantages of Using Big Data for Supply Chain and Blockchain Systems
    8. 6.8 IoT-Enabled Blockchains
    9. 6.9 Conclusions
    10. References
  12. 7 Deep Learning Approach to Industrial Energy Sector and Energy Forecasting with Prophet
    1. 7.1 Introduction
    2. 7.2 Related Work
    3. 7.3 Methodology
    4. 7.4 Results
    5. 7.5 Conclusion and Future Scope
    6. References
  13. 8 Application of Novel AI Mechanism for Minimizing Private Data Release in Cyber-Physical Systems
    1. 8.1 Introduction
    2. 8.2 Related Work
    3. 8.3 Proposed Mechanism
    4. 8.4 Experimental Results
    5. 8.5 Future Directions
    6. 8.6 Conclusion
    7. References
  14. 9 Environmental and Industrial Applications Using Internet of Things (IoT)
    1. 9.1 Introduction
    2. 9.2 IoT-Based Environmental Applications
    3. 9.3 Smart Environmental Monitoring
    4. 9.4 Applications of Sensors Network in Agro-Industrial System
    5. 9.5 Applications of IoT in Industry
    6. 9.6 Challenges of IoT Applications in Environmental and Industrial Applications
    7. 9.7 Conclusions and Recommendations
    8. Acknowledgments
    9. References
  15. 10 An Introduction to Security in Internet of Things (IoT) and Big Data
    1. 10.1 Introduction
    2. 10.2 Allusion Design of IoT
    3. 10.3 Vulnerabilities of IoT
    4. 10.4 Challenges in Technology
    5. 10.5 Analysis of IoT Security
    6. 10.6 Improvements and Enhancements Needed for IoT Applications in the Future
    7. 10.7 Upcoming Future Research Challenges with Intrusion Detection Systems (IDS)
    8. 10.8 Conclusion
    9. References
  16. 11 Potential, Scope, and Challenges of Industry 4.0
    1. 11.1 Introduction
    2. 11.2 Key Aspects for a Successful Production
    3. 11.3 Opportunities with Industry 4.0
    4. 11.4 Issues in Implementation of Industry 4.0
    5. 11.5 Potential Tools Utilized in Industry 4.0
    6. 11.6 Conclusion
    7. References
  17. 12 Industry 4.0 and Manufacturing Techniques: Opportunities and Challenges
    1. 12.1 Introduction
    2. 12.2 Changing Market Demands
    3. 12.3 Recent Technological Advancements
    4. 12.4 Industrial Revolution 4.0
    5. 12.5 Challenges to Industry 4.0
    6. 12.6 Conclusion
    7. References
  18. 13 The Role of Multiagent System in Industry 4.0
    1. 13.1 Introduction
    2. 13.2 Characteristics and Goals of Industry 4.0 Conception
    3. 13.3 Artificial Intelligence
    4. 13.4 Multiagent Systems
    5. 13.5 Developing Software of Controllers Multiagent Environment Behavior Patterns
    6. 13.6 Conclusion
    7. References
  19. 14 An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for Security
    1. 14.1 Introduction
    2. 14.2 Reviews of Related Works
    3. 14.3 Materials and Methods
    4. 14.4 Discussion and Conclusion
    5. References
  20. 15 Market Trends with Cryptocurrency Trading in Industry 4.0
    1. 15.1 Introduction
    2. 15.2 Industry Overview
    3. 15.3 Cryptocurrency Market
    4. 15.4 Cryptocurrency Trading
    5. 15.5 In-Depth Analysis of Fee Structures and Carbon Footprint in Blockchain
    6. 15.6 Conclusion
    7. References
  21. 16 Blockchain and Its Applications in Industry 4.0
    1. 16.1 Introduction
    2. 16.2 About Cryptocurrency
    3. 16.3 History of Blockchain and Cryptocurrency
    4. 16.4 Background of Industrial Revolution
    5. 16.5 Trends of Blockchain
    6. 16.6 Applications of Blockchain in Industry 4.0
    7. 16.7 Conclusion
    8. References
  22. Index
  23. End User License Agreement

Product information

  • Title: A Roadmap for Enabling Industry 4.0 by Artificial Intelligence
  • Author(s): Jyotir Moy Chatterjee, Harish Garg, R. N. Thakur
  • Release date: February 2023
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119904854