Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 6 of 40
Back to Result List

Intelligent Task Assignment in Industry 4.0 Production Processes Utilizing Fuzzy Sets

  • Industry 4.0 production comprises complicated highly automated processes. However, human activities are also a crucial component of these processes, e.g., for machine main- tenance. Task assignment of human resources in this domain is challenging, as many factors have to be taken into account to ensure effective and efficient activity execution and satisfy special conditions (like worker safety). To overcome the limita- tions of current Business Process Management (BPM) Systems regarding activity resource assignment, this contribution provides a BPM-integrated approach that applies fuzzy sets for activity assignment. Our findings suggest that this approach can be easily applied to complex production scenarios, while providing efficient performance even with a large number of concurrent activity assignment requests. Additionally, our evaluation shows its potential for improved work distribution which can lead to cost savings in Industry 4.0 production processes.

Download full text files

Export metadata

frontdoor_export_ascii

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Gregor Grambow, Daniel Hieber, Roy Oberhauser
Institutional Author:Roy Oberhauser
Institutional Author:Daniel Hieber
Institutional Author:Roy Oberhauser
URN:urn:nbn:de:bsz:944-opus4-12852
URL:https://www.thinkmind.org/index.php?view=instance&instance=INTELLI+2021
ISBN:978-1-61208-882-2
ISSN:2308-4065
Source Title (English):The Tenth International Conference on Intelligent Systems and Applications
Conference Name:INTELLI 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:Assignment Automation; Business Process Management Systems; Business Process Modelling; Fuzzy Logic; Staff Assignment Algorithms
Number of Pages:9
Faculty:Elektronik und Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Open Access:Open Access