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Symbiotic simulation system (S3) for Industry 4.0

Symbiotic simulation system (S3) for Industry 4.0
Symbiotic simulation system (S3) for Industry 4.0
This chapter discusses symbiotic simulation system, a simulation system that is designed to support online short-term operations management decision. The prevalence of real-time data and the advances in Industry 4.0 technologies have made the real-world implementation of the vision of using simulation to support real-time decision making a reality. The main contributions of this chapter are to provide a review of similar concepts in simulation, to provide the architecture of symbiotic simulation system at the conceptual level, to classify the types of symbiotic simulation applications, and to highlights research challenges in symbiotic simulation.
1860-5168
Springer
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Gunal, Murat
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Gunal, Murat

Onggo, Bhakti Stephan (2020) Symbiotic simulation system (S3) for Industry 4.0. In, Gunal, Murat (ed.) Simulation for Industry 4.0: Past, Present, and Future. (Springer Series in Advanced Manufacturing) 1 ed. Springer.

Record type: Book Section

Abstract

This chapter discusses symbiotic simulation system, a simulation system that is designed to support online short-term operations management decision. The prevalence of real-time data and the advances in Industry 4.0 technologies have made the real-world implementation of the vision of using simulation to support real-time decision making a reality. The main contributions of this chapter are to provide a review of similar concepts in simulation, to provide the architecture of symbiotic simulation system at the conceptual level, to classify the types of symbiotic simulation applications, and to highlights research challenges in symbiotic simulation.

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Symbiotic Simulation for Industry 4 final - Accepted Manuscript
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More information

Accepted/In Press date: 15 December 2018
e-pub ahead of print date: 1 August 2019
Published date: 2020

Identifiers

Local EPrints ID: 430930
URI: http://eprints.soton.ac.uk/id/eprint/430930
ISSN: 1860-5168
PURE UUID: d001ed00-1642-4f11-934f-a7560bee6145
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

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Date deposited: 17 May 2019 16:30
Last modified: 13 Dec 2021 03:31

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Contributors

Editor: Murat Gunal

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