Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18125
Title: The use of process mining in a business process simulation context: overview and challenges
Authors: MARTIN, Niels 
DEPAIRE, Benoit 
CARIS, An 
Issue Date: 2014
Publisher: IEEE
Source: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings, p. 381-388
Abstract: This paper focuses on the potential of process mining to support the construction of business process simulation (BPS) models. To date, research efforts are scarce and have a rather conceptual nature. Moreover, publications fail to explicit the complex internal structure of a simulation model. The current paper outlines the general structure of a BPS model. Building on these foundations, modeling tasks for the main components of a BPS model are identified. Moreover, the potential value of process mining and the state of the art in literature are discussed. Consequently, a multitude of promising research challenges are identified. In this sense, the current paper can guide future research on the use of process mining in a BPS context.
Keywords: business process simulation; process mining; event log knowledge; simulation model construction
Document URI: http://hdl.handle.net/1942/18125
ISBN: 9781479945191
DOI: 10.1109/CIDM.2014.7008693
ISI #: 000381485400053
Category: C1
Type: Proceedings Paper
Validations: ecoom 2017
vabb 2018
Appears in Collections:Research publications

Show full item record

SCOPUSTM   
Citations

9
checked on Sep 7, 2020

WEB OF SCIENCETM
Citations

10
checked on Apr 26, 2024

Page view(s)

112
checked on Aug 25, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.