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Developing a discrete event simulation model using multiple data sources

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conference contribution
posted on 2021-05-06, 08:41 authored by Heather Callaghan, Antuela Tako, Lisa JacksonLisa Jackson, Sarah DunnettSarah Dunnett
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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering
  • Business and Economics

Department

  • Business

Published in

Proceedings of SW21 The OR Society Simulation Workshop

Source

SW21 The OR Society Simulation Workshop

Publisher

Operational Research Society

Version

  • VoR (Version of Record)

Publisher statement

Reproduced with permission of the publisher provided the original work is properly cited and is not altered, transformed, or built upon in any way.

Publication date

2021-03-22

Language

  • en

Location

Online Conference

Event dates

22-26 March

Depositor

Prof Lisa Jackson. Deposit date: 22 April 2021

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