Process Mining For Supporting Data Processing And Process Design In Production And Logistics
The increasing individualisation of production and logistics elevates the complexity of material flows, as diverse process steps, along with their specific characteristics and interdependencies, must be effectively integrated. Managing these material flow processes demands extensive and accurate data. Process Mining, a technique originally developed in business process analysis, enables the use of existing data to make physical processes transparent in the digital world. This paper examines the application of Process Mining in production and logistics, with a particular focus on how it can impact data processing and support established tools like simulation through more accurate process design in modelling.
Authors
- Steffen Ihlenfeldt (ORCID: https://orcid.org/0000-0002-9258-5178)
- Maxi Grobis
Institutions
- Fraunhofer Institute for Machine Tools and Forming Technology (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.08.081
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00