Recently, many domestic manufacturing companies have faced many challenges. If we look at them from the perspective of "income generation" and "cost saving", they can be classified into two major categories: "business orders" and "material supply and utilization".

To flexibly respond to customer needs and improve competitiveness, production scheduling must manage "inserting rush orders, deleting orders, adjusting production quantities, and estimating delivery dates." To meet product quality requirements and customer specifications, production scheduling must consider not only the "production process, routing, and BOM" but also various other conditions, such as the "adequacy of key materials, conditions for using substitute materials, production machine restrictions, allocation of resources (personnel and equipment), and customer quality requirements."

These considerations are interrelated, spanning from the sales side of business opportunities—developing, confirming, and receiving orders—to the procurement side of material acquisition control, and finally to the deployment of production capacity and resources. This constitutes a series of interconnected tasks within the supply chain aimed at controlling inventory and costs by aligning inventory and work-in-progress (WIP) with orders, as well as aligning materials with orders.

To help manufacturers address these issues, AAT has developed the iPASP APS system, which serves as the AI brain at the core of supply chain planning. By synchronously considering factors such as "people, machines, materials, and methods," it quickly provides immediate and short-term production planning, preventing sudden material changes or line switches and making production operations more orderly. For medium- and long-term capacity and material planning, it can also provide material demand forecasting, helping companies prepare materials in advance, thus preventing production delays or missed customer delivery deadlines due to bottlenecks and resource shortages. The system's information integration allows business marketing, supply chain management (procurement, production planning), and on-site operations to share information simultaneously, improving collaboration efficiency. Additionally, the system's multi-scenario simulation function enables comparison and selection of the best production planning options for different production scenarios and requirements.

Implementing iPASP APS is crucial for manufacturers to achieve automation, digitization, and intelligence in the production process. It is the final step in transforming a traditional factory into a smart factory. With the support of this system, the benefits mentioned above can be realized, reducing the pressure on relevant personnel who face urgent, frequent changes daily. It enhances work efficiency and quality of life for employees, moving towards a friendly workplace in line with ESG goals.

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