The University of Southampton
University of Southampton Institutional Repository

An analytical framework for group simulation model building

An analytical framework for group simulation model building
An analytical framework for group simulation model building
This paper presents a framework for understanding and improving the process of simulation model building involving a group of domain experts, classifying the different roles the model may play at various stages of its development. The framework consists of four different “object roles”, defined along two dimensions: a functional dimension (boundary object vs. representational object) and a knowledge dimension (epistemic object vs. technical object). A model can take different roles during the development process, e.g. for facilitating communication, for gaining insight into the real-world system, or for experimentation and policy evaluation. The use of the framework is illustrated by two case studies in healthcare. Its relevance and applicability are examined through a survey on model use. The survey was conducted among a group of modelling consultants with experience of using both discrete-event simulation and system dynamics within the NHS, and indicated the potential usefulness of the framework.
2047-6965
1-14
Bolt, Timothy
19048ad8-212e-4847-abba-440a581dc80e
Bayer, Steffen
28979328-d6fa-4eb7-b6de-9ef97f8e8e97
Kapsali, Maria
336a76e6-a2c4-4852-a6d8-47558a34698b
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Bolt, Timothy
19048ad8-212e-4847-abba-440a581dc80e
Bayer, Steffen
28979328-d6fa-4eb7-b6de-9ef97f8e8e97
Kapsali, Maria
336a76e6-a2c4-4852-a6d8-47558a34698b
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f

Bolt, Timothy, Bayer, Steffen, Kapsali, Maria and Brailsford, Sally (2020) An analytical framework for group simulation model building. Health Systems, 1-14. (doi:10.1080/20476965.2020.1740613).

Record type: Article

Abstract

This paper presents a framework for understanding and improving the process of simulation model building involving a group of domain experts, classifying the different roles the model may play at various stages of its development. The framework consists of four different “object roles”, defined along two dimensions: a functional dimension (boundary object vs. representational object) and a knowledge dimension (epistemic object vs. technical object). A model can take different roles during the development process, e.g. for facilitating communication, for gaining insight into the real-world system, or for experimentation and policy evaluation. The use of the framework is illustrated by two case studies in healthcare. Its relevance and applicability are examined through a survey on model use. The survey was conducted among a group of modelling consultants with experience of using both discrete-event simulation and system dynamics within the NHS, and indicated the potential usefulness of the framework.

Text
Accepted version An Analytical Framework for Group Simulation Model Building - Accepted Manuscript
Restricted to Repository staff only until 8 April 2021.
Request a copy
Text
An analytical framework for group simulation model building - Version of Record
Restricted to Repository staff only
Request a copy

More information

Submitted date: 20 July 2018
Accepted/In Press date: 17 February 2020
e-pub ahead of print date: 9 April 2020

Identifiers

Local EPrints ID: 440500
URI: http://eprints.soton.ac.uk/id/eprint/440500
ISSN: 2047-6965
PURE UUID: f181a743-ef19-4c46-a2d5-23f5785e2741
ORCID for Steffen Bayer: ORCID iD orcid.org/0000-0002-7872-467X
ORCID for Sally Brailsford: ORCID iD orcid.org/0000-0002-6665-8230

Catalogue record

Date deposited: 05 May 2020 16:42
Last modified: 23 May 2020 00:24

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×