TY - JOUR
T1 - Autonomous agent-based simulation modelling—A case study on a flexible GPU-card final assembly line
AU - Wang, Kung Jeng
AU - Eunike, Agustina
AU - Kurniawan, Ivan
AU - Ardi, Romadhani
AU - Chiu, Jing Ming
N1 - Funding Information:
This work is partially supported by the National Science and Technology Council, Republic of China (Taiwan) (MOST 1102221E011137MY3 ).
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/11
Y1 - 2023/11
N2 - Market demands for high-tech products constantly evolve by product specification. To be competitive, a production system must be flexible and reconfigurable when facing mass customization. Flexible assembly line (FAL) enables mixed production with high efficiency. One example is graphic processing unit (GPU) cards. FAL requires comprehensive system design and scheduling to fully utilize the resources. This study adopts agent-based simulation (ABS) modelling for a FAL because of the abilities of ABS in flexibility and scalability. The proposed framework consists of three parts: real environment, virtual environment, and evaluation and analysis. This study uses agent-based simulation modelling to elaborate on sequencing and scheduling performances in the GPU-card assembly line. The Pareto frontier analysis is conducted to resolve conflicts between part tardiness and throughput.
AB - Market demands for high-tech products constantly evolve by product specification. To be competitive, a production system must be flexible and reconfigurable when facing mass customization. Flexible assembly line (FAL) enables mixed production with high efficiency. One example is graphic processing unit (GPU) cards. FAL requires comprehensive system design and scheduling to fully utilize the resources. This study adopts agent-based simulation (ABS) modelling for a FAL because of the abilities of ABS in flexibility and scalability. The proposed framework consists of three parts: real environment, virtual environment, and evaluation and analysis. This study uses agent-based simulation modelling to elaborate on sequencing and scheduling performances in the GPU-card assembly line. The Pareto frontier analysis is conducted to resolve conflicts between part tardiness and throughput.
KW - Agent based system
KW - Flexible assembly line
KW - Graphic processing unit
KW - Simulation modelling
UR - http://www.scopus.com/inward/record.url?scp=85171169468&partnerID=8YFLogxK
U2 - 10.1016/j.robot.2023.104511
DO - 10.1016/j.robot.2023.104511
M3 - Article
AN - SCOPUS:85171169468
SN - 0921-8890
VL - 169
JO - Robotics and Autonomous Systems
JF - Robotics and Autonomous Systems
M1 - 104511
ER -