Symbiotic simulation system: Hybrid systems model meets big data analytics
Symbiotic simulation system: Hybrid systems model meets big data analytics
Symbiotic simulation is one of Industry 4.0 technologies that enables interaction between a physical system and the simulation model that represents it as its digital twin. Symbiotic simulation is designed to support decision making at the operational levels by making use of real- or near real- time data that is generated by the physical system, which is used as an input to the simulation model. From the modeling perspective, a symbiotic simulation system comprises a hybrid systems model that combines simulation, optimization and machine learning models as well as a data acquisition module and an actuator. The actuator is needed when the symbiotic simulation system is designed to directly control the physical system without human intervention. This paper reviews the components of a symbiotic simulation system from the perspective of hybrid systems modeling and highlights research questions needed to advance symbiotic simulation study.
1358-1369
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Juan, Angel A.
a08d6aac-1e9b-4537-81a7-29a1ba791f26
Molloy, Owen
bb9fecd8-2c1c-4d67-bc43-902c7d5c08a7
Smart, Andi
5e731a5f-0241-4cc5-92e2-55f1b27bd52f
31 January 2019
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Juan, Angel A.
a08d6aac-1e9b-4537-81a7-29a1ba791f26
Molloy, Owen
bb9fecd8-2c1c-4d67-bc43-902c7d5c08a7
Smart, Andi
5e731a5f-0241-4cc5-92e2-55f1b27bd52f
Onggo, Bhakti Stephan, Mustafee, Navonil, Juan, Angel A., Molloy, Owen and Smart, Andi
(2019)
Symbiotic simulation system: Hybrid systems model meets big data analytics.
In Winter Simulation Conference: Simulation for a Noble Cause.
IEEE.
.
(doi:10.1109/WSC.2018.8632407).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Symbiotic simulation is one of Industry 4.0 technologies that enables interaction between a physical system and the simulation model that represents it as its digital twin. Symbiotic simulation is designed to support decision making at the operational levels by making use of real- or near real- time data that is generated by the physical system, which is used as an input to the simulation model. From the modeling perspective, a symbiotic simulation system comprises a hybrid systems model that combines simulation, optimization and machine learning models as well as a data acquisition module and an actuator. The actuator is needed when the symbiotic simulation system is designed to directly control the physical system without human intervention. This paper reviews the components of a symbiotic simulation system from the perspective of hybrid systems modeling and highlights research questions needed to advance symbiotic simulation study.
This record has no associated files available for download.
More information
Published date: 31 January 2019
Additional Information:
Funding Information:
This work is partially funded by Trinity Benefaction Fund and Exeter University Visiting International Academic Fellowships (VIAF).
Publisher Copyright:
© 2018 IEEE
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
Venue - Dates:
WSC 2018 Winter Simulation Conference: Simulation for a Noble Cause, , Gothenburg, Sweden, 2018-12-09 - 2018-12-12
Identifiers
Local EPrints ID: 430628
URI: http://eprints.soton.ac.uk/id/eprint/430628
ISSN: 0891-7736
PURE UUID: eb9d42c6-940e-4de6-8e21-4e38d146f136
Catalogue record
Date deposited: 07 May 2019 16:30
Last modified: 18 Mar 2024 03:50
Export record
Altmetrics
Contributors
Author:
Navonil Mustafee
Author:
Angel A. Juan
Author:
Owen Molloy
Author:
Andi Smart
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
