A business process re-engineering approach to transform business process simulation to BPMN model.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 06 04 2022
accepted: 24 10 2022
entrez: 15 3 2023
pubmed: 16 3 2023
medline: 21 3 2023
Statut: epublish

Résumé

Software reverse engineering and reengineering are becoming common in the field of games and website development. Simulation and modeling play an important role in understanding the flow of the overall system. Business process modeling notation (BPMN) is used to show the overall architecture of the business process. Simulated business process re-engineering is essential for implementing change or creating new processes. The simulation model explains whether a change will be successful or not prior to adopting any new business processes or other changes. Some available tools help convert the BPMN to a simulating BPMN model but converting the discrete event simulation model build in commercial off the shelf simulation packages like Simul8 to the BPMN to help generate business process simulation to BPMN is also a key challenge. This framework is introduced to convert the simulation model to BPMN using the reverse engineering concept to understand how the converting tools convert the BPMN model to the simulation model. After understanding this process, the concept of reengineering will be used to build a BPMN from the simulation model. The framework is divided into three main parts model translation, model mapping, and model formation. For model building, two simulation tools Simul8 and BPSimulator are used. It is then tested on two case studies bank and product manufacturing. The output shows the BPMN model is generated from the simulation model within less time on a single click saving time and resources for developing BPMN model first and then making simulation model for testing purpose.

Identifiants

pubmed: 36920942
doi: 10.1371/journal.pone.0277217
pii: PONE-D-22-10107
pmc: PMC10016641
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0277217

Informations de copyright

Copyright: © 2023 Choudhary, Riaz. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Reema Choudhary (R)

Department of Computer Science, University of Gujrat, Gujrat, Punjab, Pakistan.

Nauman Riaz (N)

Department of Computer Science, University of Gujrat, Gujrat, Punjab, Pakistan.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
Humans Meta-Analysis as Topic Sample Size Models, Statistical Computer Simulation
Cephalometry Humans Anatomic Landmarks Software Internet

Classifications MeSH