TY - GEN
T1 - Enhancing Manufacturing Efficiency Through Integration of MBSE and Capella in the Digital Thread
AU - Burgstaller, Michael
AU - Schichl, Thomas
AU - Jungwirth, Mario
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The advancement of digitalization in manufacturing has brought about a significant transformation in the industry. The digital thread, a key component this for transformation is defined as the use of digital tools and representations for design, evaluation, and life cycle management. This paper presents a project focused on enhancing the digital thread of a manufacturing line by integrating Model-Based Systems Engineering (MBSE) and Capella. It automates part identification, handling, and transportation in a small-scale manufacturing line, utilizing data from programs like Siemens NX in Capella to generate assembly code for manufacturing. The integration of various software tools like Capella, Siemens NX, and Mechatronics Concept Designer (MCD), along with hardware components like robots and Automated Guided Vehicles (AGVs), is crucial for optimizing manufacturing processes. The physical key components include cameras, sensors, and the UR10 robotic arm, demonstrating a use case of a flexible transport system (FTS) with a gripper and conveyor belt for pick-and-place tasks. The anticipated outcome is improved communication in the digital thread and increased production efficiency through automated processes, reduced manual intervention, and a more agile response to design changes.
AB - The advancement of digitalization in manufacturing has brought about a significant transformation in the industry. The digital thread, a key component this for transformation is defined as the use of digital tools and representations for design, evaluation, and life cycle management. This paper presents a project focused on enhancing the digital thread of a manufacturing line by integrating Model-Based Systems Engineering (MBSE) and Capella. It automates part identification, handling, and transportation in a small-scale manufacturing line, utilizing data from programs like Siemens NX in Capella to generate assembly code for manufacturing. The integration of various software tools like Capella, Siemens NX, and Mechatronics Concept Designer (MCD), along with hardware components like robots and Automated Guided Vehicles (AGVs), is crucial for optimizing manufacturing processes. The physical key components include cameras, sensors, and the UR10 robotic arm, demonstrating a use case of a flexible transport system (FTS) with a gripper and conveyor belt for pick-and-place tasks. The anticipated outcome is improved communication in the digital thread and increased production efficiency through automated processes, reduced manual intervention, and a more agile response to design changes.
KW - Arcadia method
KW - Capella
KW - Digital Thread
KW - MBSE
KW - Mechatronic Concept Designer
KW - PLMXML
KW - Siemens NX
UR - https://www.scopus.com/pages/publications/105004253261
U2 - 10.1007/978-3-031-82949-9_26
DO - 10.1007/978-3-031-82949-9_26
M3 - Conference contribution
AN - SCOPUS:105004253261
SN - 9783031829512
T3 - Lecture Notes in Computer Science
SP - 283
EP - 293
BT - Computer Aided Systems Theory - EUROCAST 2024 - 19th International Conference, 2024, Revised Selected Papers
A2 - Quesada-Arencibia, Alexis
A2 - Affenzeller, Michael
A2 - Moreno-Díaz, Roberto
PB - Springer
T2 - 19th International Conference on Computer Aided Systems Theory, EUROCAST 2024
Y2 - 25 February 2024 through 1 March 2024
ER -