Process Mining and Simulation
Loading...
Authors
Hvarregaard, Rasmus Frost
Author (Corporation)
Publication date
01.06.2019
Typ of student thesis
Course of study
Collections
Type
05 - Research report or working paper
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The purpose of this research project is to investigate the options and possibilities of combining the two powerful tools of process mining and business process simulation. On one hand, process mining is a tool that combines data science and process modelling to create accurate data driven process models to analyse the as-is situation of any given system. On the other hand, process simulation is a tool that uses human-created process models to analyse different to-be scenarios. Hence, a combination of these tools seems to provide great potential value for companies seeking to improve their business processes. The project reveals that the current state-of-the-art in the research field is far from having such an integrated tool. The second part of this project has therefore been to contribute to the further development. The result is a solution proposal for using process mining tools to calculate process capacity, which can be used as input parameter for process simulation models. Finally, the project value in a business context is considered. It is anticipated that the solution could have both direct and in-direct value for many companies. Direct value in terms of calculating accurate capacity measures, which can improve the ability to balance supply and demand. In-direct value in terms of contributing to the further development of an integrated tool that can create accurate simulations models based on data.
Keywords
Process Mining
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Unpublished
Review
No peer review
Open access category
License
Citation
WALDBURGER, Raoul und Rasmus Frost HVARREGAARD, 2019. Process Mining and Simulation. Verfügbar unter: https://doi.org/10.26041/fhnw-3410