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Scientific Article details

Title Combining modelling and simulation approaches How to measure performance of business processes
ID_Doc 70078
Authors Bisogno, S; Calabrese, A; Gastaldi, M; Ghiron, NL
Title Combining modelling and simulation approaches How to measure performance of business processes
Year 2016
Published Business Process Management Journal, 22, 1
DOI 10.1108/BPMJ-02-2015-0021
Abstract Purpose - The purpose of this paper is to provide a method for analysing and improving the operational performance of business processes (BPs). Design/methodology/approach - The method employs two standards, Business Process Modelling Notation (BPMN 2.0) and Business Processes Simulation (BPSim 1.0), to measure key performance indicators (KPIs) of BPs and test for potential improvements. The BP is first modelled in BPMN 2.0. Operational performance can then be measured using BPSim 1.0. The process simulation also enables execution of reliable "what-if" analysis, allowing improvements of the actual processes under study. To confirm the validity of the method the authors provide an application to the healthcare domain, in which the authors conduct several simulation experiments. The case study examines a standardised patient arrival and treatment process in an orthopaedic-emergency room of a public hospital. Findings - The method permits detection of process criticalities, as well as identifying the best corrective actions by means of the "what-if" analysis. The paper discusses both management and research implications of the method. Originality/value - The study responds to current calls for holistic and sustainable approaches to business process management (BPM). It provides step-by-step process modelling and simulation that serve as a "virtual laboratory" to test potential improvements and verify their impact on operational performance, without the risk of error that would be involved in ex-novo simulation programming.
Author Keywords Performance; BPMN; Healthcare; Business process modelling; Business process simulation
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:000370162400003
WoS Category Business; Management
Research Area Business & Economics
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