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http://bura.brunel.ac.uk/handle/2438/26590Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nwogu, C | - |
| dc.contributor.author | Taylor, SJE | - |
| dc.contributor.author | Anagnostou, A | - |
| dc.date.accessioned | 2023-06-01T08:46:00Z | - |
| dc.date.available | 2023-06-01T08:46:00Z | - |
| dc.date.issued | 2020-12-14 | - |
| dc.identifier | ORCID iDs: Simon J.E. Taylor https://orcid.org/0000-0001-8252-0189; Anastasia Anagnostou https://orcid.org/0000-0003-3397-8307. | - |
| dc.identifier.citation | Nwogu, C., and . (2020) 'Towards a Generic Architecture from Symbiotic Simulation System-based Digital Twin', Proceedings of the 2020 Winter Simulation Conference (WSC20), Orlando, FL, USA (Virtual), 14-18 December, pp. 1 - 4. Available at: https://informs-sim.org/wsc20papers/365.pdf . | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26590 | - |
| dc.description.abstract | Digital twin (DT)—one of the most prominent technologies in the Industry 4.0 era—has the ability to integrate the physical and virtual worlds, such that the data exchanged between them could be used to support decision-making and improve operations. DT could benefit from advancement in symbiotic simulation system (SSS), which has been used for so many years, prior to the advent of Industry 4.0, to interact with physical systems and support decision-making using the data from their interaction. Therefore, this paper will propose an SSS-based generic architecture for DT that satisfies DT requirements. | en_US |
| dc.format.medium | Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | INFORMS | en_US |
| dc.relation.uri | https://informs-sim.org/wsc20papers/365.pdf | - |
| dc.relation.uri | https://informs-sim.org/wsc20papers/by_area.html | - |
| dc.source | 2020 Winter Simulation Conference (WSC20) | - |
| dc.source | 2020 Winter Simulation Conference (WSC20) | - |
| dc.title | Towards a Generic Architecture from Symbiotic Simulation System-based Digital Twin | en_US |
| dc.type | Conference Paper | en_US |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 246.07 kB | Adobe PDF | View/Open |
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