Jackson_Callaghan_SW21 (1).pdf (296.21 kB)
Developing a discrete event simulation model using multiple data sources
conference contribution
posted on 2021-05-06, 08:41 authored by Heather CallaghanHeather Callaghan, Antuela Tako, Lisa JacksonLisa Jackson, Sarah DunnettSarah DunnettThis 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 WorkshopSource
SW21 The OR Society Simulation WorkshopPublisher
Operational Research SocietyVersion
- 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
2021-03-22Publisher version
Language
- en
Location
Online ConferenceEvent dates
22-26 MarchDepositor
Prof Lisa Jackson. Deposit date: 22 April 2021Usage metrics
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