University of Twente Student Theses
Event record-based evaluation of business scenarios in the logistics domain using process mining
Hartog, D den (2022) Event record-based evaluation of business scenarios in the logistics domain using process mining.
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| Abstract: | Process mining is an upcoming field in data science using event logs. Current methods of evaluation of business scenarios in the logistics domain focus on an ex-post evaluation in set time frames, making it not applicable in reallife scenarios. This study proposes an event record-based model of evaluation of business scenarios in the logistics domain, and in addition, proposes how to select a better scenario if the current one is subpar. We do this by first executing a literature review to classify what different attributes can be present in a log, and which KPI’s could be used to quantify the success of a scenario, to finally propose a model that can be used for logistics use cases. With this information, a way to set qualifying criteria for a business scenario is described. The final model will be validated by a case study. This research proposes a method to link attributes to KPI’s, and the case study proves the proposed model suitable for the event record-based evaluation of business scenarios, taking a step towards filling the gap in research in the managerial point of view in process mining. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/89555 |
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