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2019 | OriginalPaper | Chapter

Simulation and the Fourth Industrial Revolution

Author : Murat M. Gunal

Published in: Simulation for Industry 4.0

Publisher: Springer International Publishing

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Abstract

Through history, advancements in technology have revolutionised manufacturing and caused a leap in industrialisation. Industry 4.0, the Fourth Industrial Revolution, comprises of advanced technologies such as robotics, autonomous transportation and production machinery, additive manufacturing, Internet of Things (IoT), 5G mobile communication, sensors, systems integration, Cloud, big data, data analytics, and simulation. Such technologies are used in the production of quality goods, which increased product diversity, and often at lower costs achieved through optimisation and smart production techniques. The goals of Industry 4.0 are to achieve Smart Factories and Cyber-Physical Systems (CPS). The introductory chapter presents concepts from Industry 4.0 and contextualises the role of simulation in bringing about this new industrial age. The history of the industrial revolutions and simulation are discussed. Major concepts in Industry 4.0, such as CPS, vertical and horizontal system integration, Augmented Reality/Virtual Reality (AR/VR), Cloud, big data, data analytics, Internet of Things (IoT), and additive manufacturing are evaluated in the context of simulation. The discussions show that computer simulation is intrinsic to several of these Industry 4.0 concepts and technologies, for example, the application of simulation in hybrid modelling (e.g., digital twins), simulation-based training, data analytics (e.g., prescriptive analytics through the use of computer simulation), designing connectivity (e.g., network simulation), and simulation-based product design. Simulation has a pivotal role in realising the vision of Industry 4.0, and it would not be farfetched to say that simulation is at the heart of Industry 4.0.

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Metadata
Title
Simulation and the Fourth Industrial Revolution
Author
Murat M. Gunal
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-04137-3_1

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