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Key performance indicators for successful simulation projects

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journal contribution
posted on 2017-09-15, 12:51 authored by Mohsen Jahangirian, Simon J. Taylor, Terry Young, Stewart Robinson
There are many factors that may contribute to the successful delivery of a simulation project. To provide a structured approach to assessing the impact various factors have on project success, we propose a top-down framework whereby 15 Key Performance Indicators (KPI) are developed that represent the level of successfulness of simulation projects from various perspectives. They are linked to a set of Critical Success Factors (CSF) as reported in the simulation literature. A single measure called Project’s Success Measure (PSM), which represents the project’s total success level, is proposed. The framework is tested against 9 simulation exemplar cases in healthcare and this provides support for its reliability. The results suggest that responsiveness to the customer’s needs and expectations, when compared with other factors, holds the strongest association with the overall success of simulation projects. The findings highlight some patterns about the significance of individual CSFs, and how the KPIs are used to identify problem areas in simulation projects.

Funding

This study was supported by the Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH) program (EPSRC Grant EP/F063822/1).

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of the Operational Research Society

Volume

68

Issue

7

Pages

747 - 765

Citation

JAHANGIRIAN, M. ... et al, 2017. Key performance indicators for successful simulation projects. Journal of the Operational Research Society, 68 (7), pp. 747-765.

Publisher

Springer in cooperation with Palgrave Macmillan © The Operational Research Society

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Acceptance date

2016-01-12

Publication date

2017

Notes

This is an Open Access Article. It is published by Springer in cooperation with Palgrave Macmillan under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

ISSN

0160-5682

eISSN

1476-9360

Language

  • en