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Supporting Augmented Reality Industry 4.0 Processes with Context-aware Processing and Situational Knowledge

  • Production processes in Industry 4.0 settings are usually highly automated. However, many complicated tasks, such as machine maintenance, must be executed by human workers. In current smart factories, such tasks can be supported by Augmented Reality (AR) devices. These AR tasks rely on high numbers of contextual factors like live data from machines or work safety conditions and are mostly not well integrated into the global production process. This can lead to various problems like suboptimal task assignment, over-exposure of workers to hazards like noise or heat, or delays in the production process. Current Business Process Management (BPM) Systems (BPMS) are not capable of readily taking such factors into account. There- fore, this contribution proposes a novel approach for context- integrated modeling and execution of processes with AR tasks. Our practical evaluations show that our AR Process Framework can be easily integrated with prevalent BPMS. Furthermore, we have created a comprehensive simulation scenario and our findings suggest that the application of this system can lead to various benefits, like better quality of AR task execution and cost savings regarding the overall Industry 4.0 processes.

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Metadaten
Author:Gregor Grambow, Daniel Hieber, Roy Oberhauser, Camil Pogolski
Institutional Author:Gregor Grambow
Institutional Author:Daniel Hieber
Institutional Author:Roy Oberhauser
Institutional Author:Camil Pogolski
URN:urn:nbn:de:bsz:944-opus4-12860
URL:https://www.thinkmind.org/index.php?view=instance&instance=eKNOW+2021
ISBN:978-1-61208-874-7
ISSN:2308-4375
Source Title (English):Proceedings of the Thirteenth International Conference on Information, Process, and Knowledge Management
Conference Name:eKNOW 2021
Conference Date:18-22 Juli
Conference Place:Nice, France
Publisher:IARIA XPS Press
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Release Date:2021/08/05
Tag:Augmented Reality; Business Process Management Systems; Business Process Modeling Notation; Fuzzy Logic; Re- source Assignment Automation
Number of Pages:8
First Page:29
Last Page:36
Faculty:Elektronik und Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Open Access:Open Access