Optimizing virtual commissioning of a robotic system using process mining and footprints conformance checking
Publication date
2023-07
Document type
Conference paper
Author
Organisational unit
Conference
21st IEEE International Conference on Industrial Informatics (INDIN 2023) ; Lemgo, Germany ; 17-20 July 2023
Publisher
IEEE
Book title
2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
Part of the university bibliography
✅
Language
English
Keyword
Virtual commissioning
Robotic system
Aircraft production
Process mining
Footprints conformance checking
Abstract
In the aircraft manufacturing industry, the process plans created for tasks such as automated drilling and riveting are lengthy and require prior testing and validation using Virtual Commissioning (VC), which can be time-consuming. The introduction of a new process plan requires the complete plan to be tested and validated again, exacerbating the challenge of testing and validating several plans or sequences in advance using VC. This research paper proposes using process mining and footprints conformance checking to reduce VC time for robotic systems. By integrating these techniques, differences in process plans can be detected, and only the new sequences or changes from an old to a new process plan need to be tested, significantly reducing the time needed to perform VC. This research implies that the developed approach can improve the efficiency of VC and ultimately enhance the performance of automated manufacturing systems.
Version
Published version
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Metadata only access