TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Henke, Jürgen
A1  - Lucke, Dominik
A1  - Eigenbrod, Hartmut
T1  - Using context data to improve the overall quality in process chains
JF  - Procedia CIRP
N2  - Process quality has reached a high level on mass production, utilizing well known methods like the DoE. The drawback of the unterlying statistical methods is the need for tests under real production conditions, which cause high costs due to the lost output. Research over the last decade let to methods for correcting a process by using in-situ data to correct the process parameters, but still a lot of pre-production is necessary to get this working. This paper presents a new approach in improving the product quality in process chains by using context data - which in part are gathered by using Industry 4.0 devices - to reduce the necessary pre-production.
KW  - Industry 4.0
KW  - IoT
KW  - process data
KW  - quality management
Y1  - 2020
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-28111
SN  - 2212-8271
SS  - 2212-8271
U6  - https://doi.org/10.1016/j.procir.2020.04.110
DO  - https://doi.org/10.1016/j.procir.2020.04.110
VL  - 93
SP  - 622
EP  - 627
S1  - 6
PB  - Elsevier
CY  - Amsterdam
ER  -