Please use this identifier to cite or link to this item: doi:10.22028/D291-34142
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Title: Efficient and Compliant Purchase Order HandlingA Contribution to BPI Challenge 2019
Author(s): Gutermuth, Oliver
Lahann, Johannes
Rehse, Jana-Rebecca
Scheid, Martin
Schuhmann, Steffen
Stephan, Sebastian
Fettke, Peter
Language: English
Year of Publication: 2019
Publikation type: Report
Abstract: The 2019 Business Process Intelligence challenge focuses on the purchase order handling process from a large multinational company in the area of paints and coatings, operating from the Netherlands. In this report, we describe how we analyzed the provided process data in order to answer the process owner’s questions on process visualization, throughput efficiency, and compliance. To answer those questions, we used a combination of manual data analysis, established process mining techniques, and innovative machine learning approaches. After presenting our data understanding and tool chain, we first report on the results obtained by manual filtering, before addressing each challenge individually. We also discuss limitations and further recommendations, wherever applicable.
URL of the first publication: https://www.dfki.de/web/forschung/projekte-publikationen/publikationen-uebersicht/publikation/10539/
Link to this record: hdl:20.500.11880/31440
http://dx.doi.org/10.22028/D291-34142
Date of registration: 28-Jun-2021
Notes: BPI Challenge 2019
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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