University of Twente Student Theses


Continuously optimizing business process using process mining

Bos, Maxim (2023) Continuously optimizing business process using process mining.

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Abstract:Businesses perform business processes to deliver their product or service to the customer. Analyzing data about the execution of the business process with process mining allows organizations to improve their operations. Applying the PM2 methodology, several analysis iterations are performed based on the chosen objective. A pre-processed event log as input for process discovery algorithms and performing a root cause analysis allows bottlenecks to be detected in the process. A developed dashboard allows these process mining algorithms to be combined in one tool. Using this tool allows single activities or process characteristics to be identified as bottlenecks. In the future, research can be done on how process mining can support the business process in an online setting. So that during execution, bottlenecks can be avoided or solved.
Item Type:Essay (Master)
SoliTrust, Apeldoorn, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:58 process technology
Programme:Business Information Technology MSc (60025)
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