University of Twente Student Theses
Continuously optimizing business process using process mining
Bos, Maxim (2023) Continuously optimizing business process using process mining.
|
PDF
1MB |
| 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) |
| Clients: | SoliTrust, Apeldoorn, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 58 process technology |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/96762 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page