TY - GEN
T1 - Modelling Production Workflows in Automotive Manufacturing
AU - Konig, Simone
AU - Vogel-Heuser, Birgit
AU - Fieg, Etienne
AU - Hahn, Michael
AU - Kopp, Oliver
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Interest in applications based on business process modelling in Industry 4.0 is on the rise, with corporations worldwide shifting from simply exploring the potential of process models to creating productive business cases with executable process models in cloud computing. However, despite numerous applications existing in process modelling, engineers are still lacking proper guidelines for modelling production workflows in automotive diagnostics. To address the issue, we evaluated Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) as modelling notations for production workflows in assembly lines. Based on the results, this paper presents an evaluated guideline for modelling production car diagnostics workflows in BPMN 2.0 and DMN 1.3 in the automotive industry. Our work contributes to science, as we provide an overview and analysis of business process modelling in automotive testing and diagnostics.
AB - Interest in applications based on business process modelling in Industry 4.0 is on the rise, with corporations worldwide shifting from simply exploring the potential of process models to creating productive business cases with executable process models in cloud computing. However, despite numerous applications existing in process modelling, engineers are still lacking proper guidelines for modelling production workflows in automotive diagnostics. To address the issue, we evaluated Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) as modelling notations for production workflows in assembly lines. Based on the results, this paper presents an evaluated guideline for modelling production car diagnostics workflows in BPMN 2.0 and DMN 1.3 in the automotive industry. Our work contributes to science, as we provide an overview and analysis of business process modelling in automotive testing and diagnostics.
KW - Automotive testing
KW - BPMN
KW - DMN
KW - guideline
KW - manufacturing
KW - production workflows
UR - http://www.scopus.com/inward/record.url?scp=85123628651&partnerID=8YFLogxK
U2 - 10.1109/CBI52690.2021.10053
DO - 10.1109/CBI52690.2021.10053
M3 - Conference contribution
AN - SCOPUS:85123628651
T3 - Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers
SP - 39
EP - 46
BT - Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Forum and Workshop Papers
A2 - Almeida, Joao Paulo A.
A2 - Bork, Dominik
A2 - Guizzardi, Giancarlo
A2 - Guizzardi, Giancarlo
A2 - Montali, Marco
A2 - Proper, Henderik A.
A2 - Sales, Tiago P.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE Conference on Business Informatics, CBI 2021
Y2 - 1 September 2021 through 3 September 2021
ER -