In a flexible production line capable of producing various product types within a single assembly line, an efficient parts supply is critical. The kitting feeding policy, implemented in the flexible production line, aims to kit and supply the necessary parts to the production line without delay. This study investigates the kitting feeding operation for Samsung Electronics’ surface-mount device production line. To facilitate the timely supply of parts required for surface-mount device production, Samsung Electronics introduced a robotic mobile fulfillment system-based automated kitting system. This research proposes a sequential decision-making framework to address the kitting operation optimization problem, as well as a kitting scheduling algorithm within the proposed framework. A simulation environment has been implemented to verify the performance of the proposed framework and algorithm through a series of experiments. The experimental results indicate that the proposed framework enhances operational performance and maintains stability, even as the problem size expands.