TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Grambow, Gregor
A1  - Hieber, Daniel
A1  - Oberhauser, Roy
T1  - Intelligent Task Assignment in Industry 4.0 Production Processes Utilizing Fuzzy Sets
T2  - The Tenth International Conference on Intelligent Systems and Applications
N2  - 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.
KW  - Business Process Management Systems
KW  - Business Process Modelling
KW  - Staff Assignment Algorithms
KW  - Assignment Automation
KW  - Fuzzy Logic
Y1  - 2021
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-12852
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-12852
UR  - https://www.thinkmind.org/index.php?view=instance&instance=INTELLI+2021
SN  - 2308-4065
SS  - 2308-4065
SN  - 978-1-61208-882-2
SB  - 978-1-61208-882-2
SP  - 9
S1  - 9
PB  - IARIA XPS Press
ER  -