Saleh, Nurul and Bell, David and Sulaiman, Zuharabih (2021) Hybrid conceptual modeling for simulation: An ontology approach during Covid-19. In: 2021 Winter Simulation Conference, WSC 2021, 12-15 December 2021, Phoenix.
Full text not available from this repository.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. © 2021 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Decision making; Discrete event simulation; SARS, Algorithm model; Conceptual model; Emergency departments; Healthcare systems; Modeling for simulations; Novel methods; Ontology model; Ontology's; Process-models; Simulation-modelling, Ontology |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 28 Oct 2024 03:48 |
| Last Modified: | 28 Oct 2024 03:48 |
| URI: | http://eprints.um.edu.my/id/eprint/36130 |
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