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http://bura.brunel.ac.uk/handle/2438/31562Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Saleh, N | - |
| dc.contributor.author | Bell, D | - |
| dc.contributor.author | Sulaiman, Z | - |
| dc.coverage.spatial | Phoenix, AZ, USA / Virtual | - |
| dc.date.accessioned | 2025-07-15T11:14:03Z | - |
| dc.date.available | 2025-07-15T11:14:03Z | - |
| dc.date.issued | 2021-12-12 | - |
| dc.identifier | ORCiD: David Bell https://orcid.org/0000-0003-3148-6691 | - |
| dc.identifier.citation | Saleh, N., Bell, D. and Sulaiman, Z. (2021) 'Hybrid Conceptual Modeling for Simulation: An Ontology Approach during Covid-19', Proceedings Winter Simulation Conference, 2021, Phoenix, AZ, USA, 12-15 December, pp. 1 - 11. doi: 10.1109/WSC52266.2021.9715298. | en_US |
| dc.identifier.isbn | 978-1-6654-3311-2 (ebk) | - |
| dc.identifier.issn | 0891-7736 | - |
| dc.identifier.issn | 978-1-6654-3312-9 (PoD) | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31562 | - |
| dc.description | This conference paper is freely available online via the INFORMS WSC21archive at https://www.informs-sim.org/wsc21papers/108.pdf . | - |
| dc.description.abstract | The recent outbreak of Covid-19 caused by SARS-CoV-2 infection that started in Wuhan, China, has quickly spread worldwide. Due to the aggressive number of cases, the entire healthcare system has to respond and make decisions promptly to ensure it does not fail. Researchers have investigated the integration between ontology, algorithms and process modeling to facilitate simulation modeling in emergency departments and have produced a Minimal-Viable Simulation Ontology (MVSimO). However, the “minimalism” of the ontology has yet to be explored to cover pandemic settings. Responding to this, modelers must redesign services that are Covid-19 safe and better reflect changing realities. This study proposes a novel method that conceptualizes processes within the domain from a Discrete-Event Simulation (DES) perspective and utilizes prediction data from an Agent-Based Simulation (ABS) model to improve the accuracy of existing models. This hybrid approach can be helpful to support local decision making around resources allocation. | en_US |
| dc.format.extent | 1 - 11 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.uri | https://www.informs-sim.org/wsc21papers/108.pdf | - |
| dc.relation.uri | https://informs-sim.org/wsc21papers/by_auth.html | - |
| dc.rights | Copyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | - |
| dc.rights.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
| dc.source | 2021 Winter Simulation Conference (WSC) | - |
| dc.source | 2021 Winter Simulation Conference (WSC) | - |
| dc.subject | COVID-19 | en_US |
| dc.subject | process modeling | en_US |
| dc.subject | pandemics | en_US |
| dc.subject | decision making | en_US |
| dc.subject | medical services | en_US |
| dc.subject | predictive models | en_US |
| dc.subject | ontologies | en_US |
| dc.title | Hybrid Conceptual Modeling for Simulation: An Ontology Approach during Covid-19 | en_US |
| dc.type | Conference Paper | en_US |
| dc.date.dateAccepted | 2021-06-07 | - |
| dc.identifier.doi | https://doi.org/10.1109/WSC52266.2021.9715298 | - |
| dc.relation.isPartOf | Proceedings Winter Simulation Conference | - |
| pubs.finish-date | 2021-12-15 | - |
| pubs.finish-date | 2021-12-15 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2021-12-12 | - |
| pubs.start-date | 2021-12-12 | - |
| pubs.volume | 2021-December | - |
| dc.identifier.eissn | 1558-4305 | - |
| dcterms.dateAccepted | 2021-06-07 | - |
| dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | 1.01 MB | Adobe PDF | View/Open |
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