A Roadmap for Enabling Industry 4.0 by Artificial Intelligence -

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Résumé :
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....

Biographie:

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....

Sommaire:

Preface xv

1 Artificial Intelligence-The Driving Force of Industry 4.0 1
Hesham Magd, Henry Jonathan, Shad Ahmad Khan and Mohamed El Geddawy

1.1 Introduction 2

1.2 Methodology 2

1.3 Scope of AI in Global Economy and Industry 4.0 3

1.3.1 Artificial Intelligence-Evolution and Implications 4

1.3.2 Artificial Intelligence and Industry 4.0-Investments and Returns on Economy 5

1.3.3 The Driving Forces for Industry 4.0 7

1.4 Artificial Intelligence-Manufacturing Sector 8

1.4.1 AI Diversity-Applications to Manufacturing Sector 9

1.4.2 Future Roadmap of AI-Prospects to Manufacturing Sector in Industry 4.0 12

1.5 Conclusion 13

References 14

2 Industry 4.0, Intelligent Manufacturing, Internet of Things, Cloud Computing: An Overview 17
Sachi Pandey, Vijay Laxmi and Rajendra Prasad Mahapatra

2.1 Introduction 17

2.2 Industrial Transformation/Value Chain Transformation 18

2.2.1 First Scenario: Reducing Waste and Increasing Productivity Using IIoT 19

2.2.2 Second Scenario: Selling Outcome (User Demand)- Based Services Using IIoT 20

2.3 IIoT Reference Architecture 20

2.4 IIoT Technical Concepts 22

2.5 IIoT and Cloud Computing 26

2.6 IIoT and Security 27

References 29

3 Artificial Intelligence of Things (AIoT) and Industry 4.0- Based Supply Chain (FMCG Industry) 31
Seyyed Esmaeil Najafi, Hamed Nozari and S. A. Edalatpanah

3.1 Introduction 32

3.2 Concepts 33

3.2.1 Internet of Things 33

3.2.2 The Industrial Internet of Things (IIoT) 34

3.2.3 Artificial Intelligence of Things (AIoT) 35

3.3 AIoT-Based Supply Chain 36

3.4 Conclusion 40

References 40

4 Application of Artificial Intelligence in Forecasting the Demand for Supply Chains Considering Industry 4.0 43
Alireza Goli, Amir-Mohammad Golmohammadi and S. A. Edalatpanah

4.1 Introduction 44

4.2 Literature Review 45

4.2.1 Summary of the First Three Industrial Revolutions 45

4.2.2 Emergence of Industry 4.0 45

4.2.3 Some of the Challenges of Industry 4.0 47

4.3 Application of Artificial Intelligence in Supply Chain Demand Forecasting 48

4.4 Proposed Approach 50

4.4.1 Mathematical Model 50

4.4.2 Advantages of the Proposed Model 51

4.5 Discussion and Conclusion 52

References 53

5 Integrating IoT and Deep Learning-The Driving Force of Industry 4.0 57
Muhammad Farrukh Shahid, Tariq Jamil Saifullah Khanzada and Muhammad Hassan Tanveer

5.1 Motivation and Background 58

5.2 Bringing Intelligence Into IoT Devices 60

5.3 The Foundation of CR-IoT Network 62

5.3.1 Various AI Technique in CR-IoT Network 63

5.3.2 Artificial Neural Network (ANN) 63

5.3.3 Metaheuristic Technique 64

5.3.4 Rule-Based System 64

5.3.5 Ontology-Based System 65

5.3.6 Probabilistic Models 65

5.4 The Principles of Deep Learning and Its Implementation in CR-IoT Network 65

5.5 Realization of CR-IoT Network in Daily Life Examples 69

5.6 AI-Enabled Agriculture and Smart Irrigation System-Case Study 70

5.7 Conclusion 75

References 75

6 A Systematic Review on Blockchain Security Technology and Big Data Employed in Cloud Environment 79
Mahendra Prasad Nath, Sushree Bibhuprada B. Priyadarshini, Debahuti Mishra and Brojo Kishore Mishra

6.1 Introduction 80

6.2 Overview of Blockchain 83

6.3 Components of Blockchain 85

6.3.1 Data Block 85

6.3.2 Smart Contracts 87

6.3.3 Consensus Algorithms 87