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PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare

Tako, Antuela A., Kotiadis, Kathy (2015) PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare. European Journal of Operational Research, 244 (2). pp. 555-564. ISSN 0377-2217. (doi:10.1016/j.ejor.2015.01.046) (KAR id:51024)

Abstract

Discrete event simulation (DES) studies in healthcare are thought to benefit from stakeholder participation during the study lifecycle. This paper reports on a multi-methodology framework, called PartiSim that is intended to support participative simulation studies. PartiSim combines DES, a traditionally hard OR approach, with soft systems methodology (SSM) in order to incorporate stakeholder involvement in the study lifecycle. The framework consists of a number of prescribed activities and outputs as part of the stages involved in the simulation lifecycle, which include study initiation, finding out about the problem, defining a conceptual model, model coding, experimentation and implementation. In PartiSim four of these stages involve facilitated workshops with a group of stakeholders. We explain the organisation of workshops, the key roles assigned to analysts and stakeholders, and how facilitation is embedded in the framework. We discuss our experience of using the framework, provide guidance on when to use it and conclude with future research directions.

Item Type: Article
DOI/Identification number: 10.1016/j.ejor.2015.01.046
Uncontrolled keywords: Problem structuring; Facilitated modelling; Simulation; Multi-methodology framework; Healthcare
Subjects: Q Science > Operations Research - Theory
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Institutional Unit: Schools > Kent Business School
Former Institutional Unit:
Programming Languages and Systems Group
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: Organisations -1 not found.
Depositing User: Kathy Kotiadis
Date Deposited: 14 Oct 2015 19:14 UTC
Last Modified: 20 May 2025 12:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51024 (The current URI for this page, for reference purposes)

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