Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/13459
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dc.contributor.authorJahangirian, M-
dc.contributor.authorTaylor, SJE-
dc.contributor.authorYoung, T-
dc.contributor.authorRobinson, S-
dc.date.accessioned2016-11-08T14:48:11Z-
dc.date.available2016-07-06-
dc.date.available2016-11-08T14:48:11Z-
dc.date.issued2016-
dc.identifier.citationJournal of the Operational Research Society, (2016)en_US
dc.identifier.issn0160-5682-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/13459-
dc.description.abstractThere 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.en_US
dc.description.sponsorshipThis study was supported by the Multidisciplinar Assessment of Technology Centre for Healthcare (MATCH) program (EPSRC Grant EP/F063822/1).en_US
dc.language.isoenen_US
dc.publisherPalgrave Macmillanen_US
dc.subjectSimulationen_US
dc.subjectCritical success factoren_US
dc.subjectKey performance indicatoren_US
dc.subjectHealth serviceen_US
dc.titleKey performance indicators for successful simulation projectsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1057/jors.2016.1-
dc.relation.isPartOfJournal of the Operational Research Society-
pubs.publication-statusPublished online-
Appears in Collections:Dept of Computer Science Research Papers

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