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Inference of resource-based simulation models from process event-log data

Gunn, Bruce 2018, Inference of resource-based simulation models from process event-log data, Ph.D thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Inference of resource-based simulation models from process event-log data
Author Gunn, Bruce
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty GTP Research
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Johnstone MichaelORCID iD for Johnstone Michael orcid.org/0000-0002-3005-8911
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Date submitted 2018-05-04
Summary This research was focused on inferring resource-based simulation models from data. and has proven it is realistic to do so. The research has discovered a new Process Mining algorithm with superior performance and has developed methods to identify, quantify and discover resource attributes and resource-based decisions from data.
Language eng
Field of Research 091005 Manufacturing Management
080109 Pattern Recognition and Data Mining
080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original 211 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110902

Document type: Thesis
Collections: Higher degree theses (Open Access)
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Created: Wed, 11 Jul 2018, 13:49:10 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.