Developing a discrete event simulation model using qualitative and quantitative data sources

Heather Callaghan, Lisa Jackson, Antuela Tako, Sarah Dunnett

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    This paper will discuss the development process of discrete event simulation models with regards to using data from multiple sources, that may be gathered both quantitatively and qualitatively, before being incorporated into a single simulation model. The aim of this paper is to more formalise the less discussed qualitative practices in simulation modelling. There will be a brief overview of where this has been touched upon previously in literature, before moving on to the most commonly occurring research methods and types of data gathered; and how these can be incorporated into a model. This paper will go on to consider potential benefits and drawbacks to this approach before presenting an application of how this thinking was applied to a research project.

    Original languageEnglish
    Title of host publicationOperational Research Society 10th Simulation Workshop, SW 2021 - Proceedings
    EditorsMasoud Fakhimi, Tom Boness, Duncan Robertson
    PublisherOperational Research Society
    Pages192-199
    Number of pages8
    ISBN (Electronic)9780903440660
    DOIs
    Publication statusPublished - 2021
    Event10th Operational Research Society Simulation Workshop, SW 2021 - Virtual, Online
    Duration: 22 Mar 202126 Mar 2021

    Publication series

    NameOperational Research Society 10th Simulation Workshop, SW 2021 - Proceedings

    Conference

    Conference10th Operational Research Society Simulation Workshop, SW 2021
    CityVirtual, Online
    Period22/03/2126/03/21

    Keywords

    • Discrete event simulation
    • Mixed methods
    • Police custody

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Computer Science Applications
    • Modelling and Simulation

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