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Smart Agents for the Industry 4.0

Enabling Machine Learning in Industrial Production

  • Max Hoffmann
Book

Table of contents

  1. Front Matter
    Pages I-XXXIV
  2. Max Hoffmann
    Pages 1-14
  3. Max Hoffmann
    Pages 33-112
  4. Max Hoffmann
    Pages 257-259
  5. Back Matter
    Pages 261-318

About this book

Introduction

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP.

Contents
  • Agent OPC UA – Semantic Scalability and Interoperability Architecture for MAS through OPC UA
  • Management System Integration of OPC UA Based MAS
  • Flexible Manufacturing Based on Autonomous, Decentralized Systems
  • Use Cases for Industrial Automation
Target Groups
  • Scientists and students in automation technology, production technology, mechanical engineering, process control, factory planning
  • Practitioners in these fields
About the Author
Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group “Industrial Big Data”. His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.

Keywords

Distributed Artificial Intelligence Multi-Agent Systems MAS Industry 4.0 Machine Learning OPC Unified Architecture OPC UA Digital Transformation Autonomous Decision Making Automation Technology Fieldbus Smart Factory Digital Factory Industrial Internet of Things (IIoT) Factory of the Future

Authors and affiliations

  • Max Hoffmann
    • 1
  1. 1.Institute of Information Management in Mechanical EngineeringRWTH Aachen UniversityAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-27742-0
  • Copyright Information Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Computer Science
  • Print ISBN 978-3-658-27741-3
  • Online ISBN 978-3-658-27742-0
  • Buy this book on publisher's site
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