In order to implement the "14th Five-Year Plan" for Smart Manufacturing Development, in October 2022, the Ministry of Industry and Information Technology, the National Development and Reform Commission, and other departments jointly issued a notice to carry out the 2022 pilot demonstration actions for smart manufacturing. The pilot demonstration actions include excellent smart manufacturing scenarios and demonstration smart factories. With the accelerating process of digital industry, promoting the construction of smart factories through a "challenge-based" approach helps explore the promotion path of best practices in smart manufacturing. This is also an important measure to promote the transformation of industrial models and enterprise forms in response to the continuously upgraded development requirements of smart factories.

The typical smart manufacturing scenarios mentioned in the pilot demonstration content include warehousing and distribution, supply chain management, quality management, etc. To become a demonstration smart factory, multiple scenarios must be well integrated and coordinated, which means that the accuracy division of manufacturing processes will become increasingly detailed, production material plans will be more precise, and even the material input and resources of each production process must be considered. For manufacturing factories, planning is the core of building the smart factory business. A large number of orders require production execution in the workshop, and with limited manufacturing resources, how to arrange the order sequence, how to coordinate and adjust, etc., are all within the scope of planning. APS can help factories improve the quality and rapid response of planning, and is one of the most feature-rich software currently emerging.

Alps System Integration (Dalian) Co., Ltd. (abbreviated as “ALSI”) has deeply cultivated the manufacturing industry for more than 30 years, possessing rich industry practice and extensive factory application accumulation. Adhering to the “craftsman” gene of Japanese enterprises, it developed the ALSI smart algorithm and created the APS planning and scheduling system. This system integrates human, material, and time resources to establish a pull-type, collaborative, just-in-time, and intelligent production system that integrates customers, factories, outsourcers, and suppliers. Relying on production planning, big data, and AI, it builds an efficient command and decision-making system, simulates multiple production planning environments, and assists factory managers in scientific decision-making. At the same time, it provides customized production planning and scheduling solutions according to enterprise needs, enabling the more efficient and rational planning and scheduling of smart factories.

In the future, smart factories will pay more attention to the integration and coordination of intelligent scenarios. ALSI will continuously refine its smart manufacturing solutions with more forward-looking and cutting-edge technologies. It not only efficiently solves the optimization of on-site resource allocation for factories, but also, as an excellent supplier in the field of smart manufacturing, continuously goes deep into the site to help enterprises solve difficult problems such as equipment management, build smart factories at low cost, and promote the wider adoption of mature smart manufacturing scenarios, bringing more possibilities for enterprises to become demonstration smart factories.