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

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
Externally publishedYes
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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