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Computational Methods for Application in Industry 4.0

  • Book
  • © 2019

Overview

Authors:
  1. Nikolaos E. Karkalos

    1. Laboratory of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

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  2. Angelos P. Markopoulos

    1. Laboratory of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

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  3. J. Paulo Davim

    1. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

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  • Presents key elements to the Industry 4.0 concept
  • Introduces methods not well known but with high potential
  • Compares different methods highlighting their capabilities and limitations

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: Manufacturing and Surface Engineering (BRIEFSMANUFACT)

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About this book

This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-viii
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  2. General Aspects of the Application of Computational Methods in Industry 4.0

    • Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
    Pages 1-10

  3. Evolutionary-Based Methods

    • Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
    Pages 11-31

  4. Swarm Intelligence-Based Methods

    • Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
    Pages 33-55

  5. Other Computational Methods for Optimization

    • Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim
    Pages 57-67
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Authors and Affiliations

  • Laboratory of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

    Nikolaos E. Karkalos, Angelos P. Markopoulos

  • Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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