Abstract
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.
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