ERP conducts enterprise resource planning with finance as the service object, featuring relatively coarse data granularity. It idealizes the production floor by assuming unlimited manufacturing capacity, which contradicts the reality of finite shop-floor resources.

 MES focuses on the execution layer, receiving work orders from ERP and releasing them to the production line in real time. Its algorithm offers fine data granularity but generates large volumes of data. It directly records production process data and is closely tied to factory processes, workshop management workflows, and more.

In addition to acquiring basic data from ERP and EMS, APS also requires other factory data. Based on this data, it refines applications according to the production site. The data volume for APS calculations is enormous, with higher demands on precision. APS algorithms are built on mathematical models, enabling them to meet the more complex and precise needs of a smart factory. These mathematical model-based algorithms are recognized as among the most robust.

The APS planning and scheduling system developed by Alps System Integration (Dalian) Co., Ltd. employs internationally advanced optimization algorithms. Its uniqueness lies in being faster, more accurate, and finer, powered by efficient, rapid, and precise international advanced algorithms. The APS planning and scheduling system accurately delivers advanced production planning and scheduling solutions for smart factories, improving enterprise plan execution rates, order fulfillment rates, and equipment utilization, shortening order lead times, reducing material inventory, and partnering with enterprises on the journey toward a smart factory.

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