Enhancing Process Efficiency in a Small-Scale Smart Factory through Process Mining: A Case Study
Abstract
Process mining has emerged as a powerful technique for analyzing and improving
business processes. In this research paper, the application of process mining in a vertically
integrated small-scale smart factory is explored. The study aims to identify challenges, analyze
data issues, and explore the potential of process mining as a tool for process optimization.
Employing a case study approach, data is collected from the entire process and analyzed using
process mining software.
The findings show how to use data to enable process mining in current scenarios. Challenges
related to data synchronization and the impact of network delays on data accuracy are revealed.
However, despite the challenges identified, this research demonstrates the potential of process
mining to drive process optimization in smart factory environments. This paper contributes to
the field of process mining and provides valuable information for academia and industry
professionals seeking to optimize production processes through data-driven analysis in the era
of Industry 4.0.
Mehr zum Titel
| Titel | Enhancing Process Efficiency in a Small-Scale Smart Factory through Process Mining: A Case Study |
|---|---|
| Medien | SAP Academic Community Conference 2023 (D-A-CH). Technische Universität München. |
| Verlag | Uta Mathis, Nicole Ondrusch, Dietmar Kilian, Helmut Krcmar, Klaus Turowski, Stefan Weidner, Holger Wittges |
| Heft | --- |
| Band | --- |
| ISBN | --- |
| Verfasser/Herausgeber | Prof. Dr. Heike Markus, Shantall Marucia Cisneros Saldana |
| Seiten | 136-144 |
| Veröffentlichungsdatum | 2023-09-11 |
| Projekttitel | --- |
| Zitation | Markus, Heike; Cisneros Saldana, Shantall Marucia (2023): Enhancing Process Efficiency in a Small-Scale Smart Factory through Process Mining: A Case Study. SAP Academic Community Conference 2023 (D-A-CH). Technische Universität München., S. 136-144. DOI: 10.14459/2023md1719876 |