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  4. Process Mining For Supporting Data Processing And Process Design In Production And Logistics
 
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2025
Journal Article
Title

Process Mining For Supporting Data Processing And Process Design In Production And Logistics

Abstract
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.
Author(s)
Grobis, Maxi
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Ihlenfeldt, Steffen  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Journal
Procedia CIRP  
Conference
Design Conference 2025  
Open Access
File(s)
Download (524.35 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1016/j.procir.2025.08.081
10.24406/publica-5251
Additional link
Full text
Language
English
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Keyword(s)
  • Process Mining

  • Simulation

  • Design method

  • Production

  • Modelling

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