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 -