Abstract: Discrete production lines have the characteristics of multi-product, variable batch, and mixed-line production, leading to the logical sharing of multiple manufacturing resources. Dynamic reconfigurable technology for manufacturing resources enables APS to quickly respond to changes in production tasks, field disturbances, and other variables, while timely adjusting planning and scheduling. At the same time, it provides data support for process reconstruction and resource layout optimization, thereby achieving the global optimal configuration of manufacturing resources. This paper primarily introduces the basic architecture of dynamic reconfigurable production lines and provides a detailed analysis of APS dynamic reconfigurable technologies, including rolling scheduling, resource secondary mapping, and resource identity/continuity. It selects the Fruit Fly Optimization Algorithm with a dynamic search radius for scheduling purposes and verifies the effectiveness of APS dynamic reconfigurable technologies in actual production on discrete production lines.