A BPMN extension to support discrete-event simulation for healthcare applications:an explicit representation of queues, attributes and data-driven decision points

Onggo, Bhakti Satyabuhdi Stephan and Proudlove, Nathan and D'Ambrogio, Andrea and Calabrese, Armando and Bisogno, Stefania (2018) A BPMN extension to support discrete-event simulation for healthcare applications:an explicit representation of queues, attributes and data-driven decision points. Journal of the Operational Research Society, 69 (5). pp. 788-802. ISSN 0160-5682

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Abstract

Stakeholder engagement in simulation projects is important, especially in healthcare where there is a plurality of stakeholder opinions, objectives and power. One promising approach for increasing engagement is facilitated modelling. Currently, the complexity of producing a simulation model means that the ‘model coding’ stage is performed without the involvement of stakeholders, interrupting the possibility of a fully-facilitated project. Early work demonstrated that with currently-available software tools we can represent a simple healthcare process using Business Process Model and Notation (BPMN) and generate a simulation model automatically. However, for more complex processes, BPMN currently has a number of limitations, namely the ability to represent queues and data-driven decision points. To address these limitations, we propose a conceptual design for an extension to BPMN (BPMN4SIM) using Model Driven Architecture. Application to an elderly emergency care pathway in a UK hospital shows that BPMN4SIM is able to represent a more-complex business process.

Item Type:
Journal Article
Journal or Publication Title:
Journal of the Operational Research Society
Additional Information:
The final publication is available at Springer via http://dx.doi.org/10.1057/s41274-017-0267-7
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1406
Subjects:
ID Code:
86603
Deposited By:
Deposited On:
05 Jun 2017 14:12
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Sep 2020 03:08