A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes

Author:

Birk Alexander,Wilhelm Yannick,Dreher Simon,Flack Christian,Reimann Peter,Gröger Christoph

Funder

German Research Foundation

Ministerium fur Wissenschaft Forschung und Kunst Baden-Wurttemberg

Publisher

Elsevier BV

Subject

General Medicine

Reference13 articles.

1. Process Mining;van der Aalst,2016

2. Becker, T., Lütjen, M., Porzel, R., 2017. Process Maintenance of Heterogeneous Logistic Systems – A Process Mining Approach. Freitag, Kotzab et al. (Ed.) – Dynamics in Logistics 9, 77–86.

3. Dakic, D., et al., 2018. Business Process Mining Application: A Literature Review, in: Katalinic, B. (Ed.), Proc. of the 29th DAAAM International Symposium, Vienna, Austria. pp. 866–875.

4. The ProM Framework: A New Era in Process Mining Tool Support;van Dongen,2005

5. Dreher, S., Reimann, P., Gröger, C., 2020. Application Fields and Research Gaps of Process Mining in Manufacturing Companies, in: Reussner, R.H., Koziolek, A., Heinrich, R. (Eds.), Proc. of the 50th Jahrestagung der Gesellschaft für Informatik, Karlsruhe, Germany.

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