A framework for conceptualising hybrid system dynamics and agent-based simulation models
Nguyen, Le Khanh Ngan and Howick, Susan and Megiddo, Itamar (2024) A framework for conceptualising hybrid system dynamics and agent-based simulation models. European Journal of Operational Research, 315 (3). pp. 1153-1166. ISSN 0377-2217 (https://doi.org/10.1016/j.ejor.2024.01.027)
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Abstract
The growing complexity of systems and problems that stakeholders from the private and public sectors have sought advice on has led systems modellers to increasingly use multimethodology and to combine multiple OR/MS methods. This includes hybrid simulation that combines two or more of the following methods: system dynamics (SD), discrete-event simulation, and agent-based models (ABM). Although a significant number of studies describe the application of hybrid simulation across different domains, research on the theoretical and practical aspects of combining simulation modelling methods, particularly the combining of SD and ABM, is still limited. Existing frameworks for combining simulation methods are high-level and lack methodological clarity and practical guidance on modelling decisions and elements specific to hybrid simulation that modellers need to consider. This paper proposes a practical framework for developing a conceptual hybrid simulation model that is built on reviews and reflections of theoretical and application literature on combining methods. The framework is then used to inform and guide the process of conceptual model building for a case study in controlling the spread of COVID-19 in care homes. In addition, reflection on the use of the framework for the case study led to refining the framework itself. This case study is also used to demonstrate how the framework informs the structural design of a hybrid simulation model and relevant modelling decisions during the conceptualisation phase.
ORCID iDs
Nguyen, Le Khanh Ngan ORCID: https://orcid.org/0000-0002-6742-6896, Howick, Susan ORCID: https://orcid.org/0000-0002-0796-7981 and Megiddo, Itamar ORCID: https://orcid.org/0000-0001-8391-6660;-
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Item type: Article ID code: 87989 Dates: DateEvent16 June 2024Published20 January 2024Published Online19 January 2024AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 30 Jan 2024 12:43 Last modified: 04 Dec 2024 01:29 URI: https://strathprints.strath.ac.uk/id/eprint/87989