TY - JOUR
T1 - Assessing the Human Competence and Individual Support Level in Manual Assembly through Cognitive Assistance Systems
AU - Fink, Klaus
AU - Ziegler, Anna
AU - Hardtlein, Christian
AU - Berger, Christoph
AU - Daub, Rudiger
N1 - Publisher Copyright:
© 2024 Elsevier B.V.. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In today's industrial landscape, production challenges arise from increasing demand for personalized products and demographic changes. Production facilities and employees must be agile and adaptable to changing requirements, while limited automation in multi-variant production elevates the importance of human workers. Cognitive assistance systems, such as digital instructions and pick-by-light systems, can enhance efficiency and reduce errors but should be customized to worker competence levels. This article presents a method for assessing worker competence and individual support using cognitive assistance systems in manual assembly, with an example from Fraunhofer IGCV's "Learning factory for cyber-physical production systems" in Augsburg.
AB - In today's industrial landscape, production challenges arise from increasing demand for personalized products and demographic changes. Production facilities and employees must be agile and adaptable to changing requirements, while limited automation in multi-variant production elevates the importance of human workers. Cognitive assistance systems, such as digital instructions and pick-by-light systems, can enhance efficiency and reduce errors but should be customized to worker competence levels. This article presents a method for assessing worker competence and individual support using cognitive assistance systems in manual assembly, with an example from Fraunhofer IGCV's "Learning factory for cyber-physical production systems" in Augsburg.
KW - Human aspect
KW - Manufacturing system
KW - Production
UR - http://www.scopus.com/inward/record.url?scp=85208595287&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2024.08.263
DO - 10.1016/j.procir.2024.08.263
M3 - Conference article
AN - SCOPUS:85208595287
SN - 2212-8271
VL - 126
SP - 811
EP - 816
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023
Y2 - 12 July 2023 through 14 July 2023
ER -