TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Grambow, Gregor
A1  - Hieber, Daniel
A1  - Oberhauser, Roy
T1  - Utilizing Fuzzy Sets and Rule Engines for Intelligent Task Assignment in Industry 4.0 Production Processes
JF  - International Journal on Advances in Intelligent Systems
N2  - Today’s Industry 4.0 Smart Factories involve complicated and highly automated processes. Nevertheless, certain crucial activities such as machine maintenance remain that require human involvement. For such activities, many factors have to be taken into account, like worker safety or worker qualification. This adds to the complexity of selection and assignment of optimal human resources to the processes and overall coordination. Contemporary Business Process Management (BPM) Systems only provide limited facilities regarding activity resource assignment. To overcome these, this contribution pro- poses a BPM-integrated approach that applies fuzzy sets and rule processing for activity assignment. Our findings suggest that our approach has the potential for improved work distribution and cost savings for Industry 4.0 production processes. Furthermore, the scalability of the approach provides efficient performance even with a large number of concurrent activity assignment requests and can be applied to complex production scenarios with minimal effort.
KW  - Business Process Management Systems
KW  - Fuzzy Logic
KW  - Rule Engines
KW  - Resource Allocation Algorithms
KW  - Assignment Automation
Y1  - 2022
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-24703
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-24703
UR  - http://www.iariajournals.org/intelligent_systems/tocv15n12.html
SN  - 1942-2679
SS  - 1942-2679
VL  - 15
IS  - 1&2
SP  - 35
EP  - 48
S1  - 14
ER  -