The APS system unifies planning logic and data sources, eliminating discrepancies in planning criteria across multiple departments. This ensures that objectives are perfectly aligned across all links, including sales, production, procurement, and logistics. From the master plan to detailed operation scheduling, the entire process outputs synchronized plans, thoroughly eradicating the chaotic management practice of isolated silos and disconnected operations.

Through automatic resource allocation and pre-production inspection mechanisms, potential risks such as materials, equipment, and molds are eliminated before plan execution. The system monitors progress in real-time and adjusts dynamically, ensuring production tasks are completed on time, driving plan achievement rates to significantly exceed 95%.

APS accurately calculates material requirement timing, links with delivery plans to control arrival rhythm, avoiding early and excessive procurement. At the same time, reducing WIP backlog and slow-moving materials, achieving inventory structure optimization, overall inventory levels reduced by about 25%, releasing enterprise capital occupation.

The system automatically executes material kit checks before scheduling, dynamically reserving critical parts based on plan timing. When kit completeness is insufficient, early warning and tracking are triggered, ensuring complete material kits during production launch, some customers' kit rates improved to 99%, significantly reducing line stoppage losses due to material shortages.

In traditional manual or semi-automatic scheduling, material shortage calculations take several hours. APS system combines material requirements, inventory, and procurement data in real-time, completing shortage simulation and early warning analysis at the minute level, reducing calculation time by 99%, freeing PMC material control personnel from tedious data statistics.

APS effectively avoids order delays through precise assessment of delivery commitments and dynamic scheduling. The system responds to exceptions such as insertions and equipment failures in real-time and quickly reschedules, ensuring controllable promised delivery dates. After implementation, order on-time delivery rates improved by an average of 30%, significantly enhancing customer trust.