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.

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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
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article

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

Steffen Ihlenfeldt, Maxi Grobis
Procedia CIRP
Business Process Modeling and Analysis
article

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

Steffen Ihlenfeldt, Maxi Grobis
article en

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.

Procedia CIRPVol. 136
Fraunhofer Institute for Machine Tools and Forming Technology (DE), Technische Universität Dresden (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Business Process Modeling and Analysis
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Process Mining For Supporting Data Processing And Process Design In Production And Logistics — Steffen Ihlenfeldt, Maxi Grobis · Procedia CIRP (2025) | TGRS Research Map | TGRS