Literature DB >> 33816952

Approaches combining methods of Operational Research with Business Process Model and Notation: A systematic review.

Hana Tomaskova1, Gerhard-Wilhelm Weber2,3.   

Abstract

BACKGROUND: Business process modelling is increasingly used not only by the companies' management but also by scientists dealing with process models. Process modeling is seldom done without decision-making nodes, which is why operational research methods are increasingly included in the process analyses.
OBJECTIVE: This systematic literature review aimed to provide a detailed and comprehensive description of the relevant aspects of used operational research techniques in Business Process Model and Notation (BPMN) model.
METHODS: The Web Of Science of Clarivate Analytics was searched for 128 studies of that used operation research techniques and business process model and notation, published in English between 1 January 2004 and 18 May 2020. The inclusion criteria were as follows: Use of Operational Research methods in conjunction with the BPMN, and is available in full-text format. Articles were not excluded based on methodological quality. The background information of the included studies, as well as specific information on the used approaches, were extracted.
RESULTS: In this research, thirty-six studies were included and considered. A total of 11 specific methods falling into the field of Operations Research have been identified, and their use in connection with the process model was described.
CONCLUSION: Operational research methods are a useful complement to BPMN process analysis. It serves not only to analyze the probability of the process, its economic and personnel demands but also for process reengineering.
© 2020 Tomaskova and Weber.

Entities:  

Keywords:  BPMN; Business process model and notation; Decision making; OR; Operation Research; Review; Techniques

Year:  2020        PMID: 33816952      PMCID: PMC7924547          DOI: 10.7717/peerj-cs.301

Source DB:  PubMed          Journal:  PeerJ Comput Sci        ISSN: 2376-5992


  5 in total

1.  Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?

Authors:  Richard Cimler; Hana Tomaskova; Jitka Kuhnova; Ondrej Dolezal; Pavel Pscheidl; Kamil Kuca
Journal:  Curr Alzheimer Res       Date:  2018       Impact factor: 3.498

2.  Business Process Management for optimizing clinical processes: A systematic literature review.

Authors:  Alberto De Ramón Fernández; Daniel Ruiz Fernández; Yolanda Sabuco García
Journal:  Health Informatics J       Date:  2019-10-04       Impact factor: 2.681

3.  Prediction of population with Alzheimer's disease in the European Union using a system dynamics model.

Authors:  Hana Tomaskova; Jitka Kuhnova; Richard Cimler; Ondrej Dolezal; Kamil Kuca
Journal:  Neuropsychiatr Dis Treat       Date:  2016-06-30       Impact factor: 2.570

4.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

5.  Modeling and Deploying IoT-Aware Business Process Applications in Sensor Networks.

Authors:  Yongyang Cheng; Shuai Zhao; Bo Cheng; Xiwei Chen; Junliang Chen
Journal:  Sensors (Basel)       Date:  2018-12-30       Impact factor: 3.576

  5 in total

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