Artificial Intelligence in Industry 4.0

1. Front Matter

   Pages i-xxv

   PDF

2. Managing the Industry 4.0 Revolution

   1. Front Matter

      Pages 1-1

      PDF

   2. Implementing Industry 4.0—The Need for a Holistic Approach

      • Christian Hoyer, Indra Gunawan, Carmen Haule Reaiche

      Pages 3-14

   3. Motivation in a Business Company Using Technology-Based Communication

      • Madara Pratt, Sarma Cakula

      Pages 15-30

   4. Decision Support in Everyday Business Using Self-enforcing Networks

      • Christina Klüver, Jürgen Klüver

      Pages 31-44

   5. Approaches for Cognitive Assistance in Industry 4.0 Assembly

      • Thomas Schack, Benjamin Strenge, Kai Essig

      Pages 45-54

3. Modelling for Industry 4.0

   1. Front Matter

      Pages 55-55

      PDF

   2. Modelling and Simulation in Industry 4.0

      • William de Paula Ferreira, Fabiano Armellini, Luis Antonio de Santa-Eulalia, Claudia Rebolledo

      Pages 57-72

   3. Homogenization Algorithm Based on Incremental L2-Discrepancy Filtering for Data-Driven Modelling

      • Zhuang Shao, Fengqi Si, Zhigao Xu, Ding Guo

      Pages 73-83

   4. Linking Industry 4.0, Learning Factory and Simulation: Testbeds and Proof-of-Concept Experiments

      • William de Paula Ferreira, Arun Palaniappan, Fabiano Armellini, Luis Antonio de Santa-Eulalia, Elaine Mosconi, Guillaume Marion

      Pages 85-96

4. Machine Learning in Industry 4.0

   1. Front Matter

      Pages 97-97

      PDF

   2. Intelligent Digital Twin System in the Semiconductors Manufacturing Industry

      • Foaad Haddod, Alexiei Dingli

      Pages 99-113

   3. Automatic Defect Recognition  in Nonwovens Using Images and Metadata Analysis—A Deep Learning  Approach

      • Marco Calderisi, Gabriele Galatolo, Ilaria Ceppa, Tommaso Motta, Francesco Vergentini

      Pages 115-126

   4. MIRAI: A Modifiable, Interpretable, and Rational AI Decision Support  System

      • Natalia Mallia, Alexiei Dingli, Foaad Haddod

      Pages 127-141

   5. Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems

      • Jupiter Bakakeu, Schirin Baer, Hans-Henning Klos, Joern Peschke, Matthias Brossog, Joerg Franke

      Pages 143-163

   6. Affect of Artificial Intelligence  Technologies and Digitalisation on Jurisprudence and Education

      • Tatiana V. Emelianova

      Pages 165-179

5. Agents in Industry 4.0

   1. Front Matter

      Pages 181-181

      PDF

   2. Approach for Model Driven  Development of Multi- agent  Systems for Ambient Intelligence

      • Tsvetelina Ivanova, Idilia Batchkova

      Pages 183-198

   3. Designing Trust in Highly Automated  Virtual Assistants : A Taxonomy of Levels of Autonomy

      • Fernando Galdon, Ashley Hall, Stephen Jia Wang

      Pages 199-211

   4. Introducing the Concept of “Digital-Agent Signatures ”: How SSI Can Be Expanded for the Needs of Industry 4.0.

      • Alexander Pfeiffer, Mark Bugeja

      Pages 213-233

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

• Industry 4.0
• Artificial Intelligence
• Intelligent Interfaces
• Machine Learning
• Computational Intelligence

• Faculty of ICT, Department of Artificial Intelligence, University of Malta, Msida, Malta

  Alexiei Dingli, Foaad Haddod

• Universität Duisburg-Essen, Essen, Germany

  Christina Klüver

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