The Ministry of Industry and Information Technology of the People's Republic of China recently released the "14th Five-Year Plan for Intelligent Manufacturing Development" (Draft for Comments), which clearly states the development goals: by 2025, China will achieve basically universal digitalization among manufacturing enterprises above the designated size, and key industry backbone enterprises will have initially completed their intelligent transformation. This indicates that over the next five years, a large number of manufacturing enterprises need to accelerate digitalization, and smart factory planning will be put on the agenda by many companies. For small and medium-sized enterprises, how to build a smart factory and operate and maintain it at low cost is particularly critical.

Digital transformation in the manufacturing industry is a systematic project. It not only requires enterprises to increase R&D efforts and strengthen the reserve of industry professionals, but more importantly, to systematically upgrade the infrastructure construction and renovation of various production links. This is a heavy burden and full of difficulties for most manufacturing enterprises, especially the vast number of small and medium-sized enterprises.
First, the cost of transformation technology is high. Enterprise owners have weak "hematopoietic" capabilities, and currently, the external "blood transfusion" mechanism is relatively lagging. This makes it difficult for enterprises to leverage financial leverage and special support to achieve digital transformation and upgrading in the short term.
Second, enterprises invest few resources. Small and medium-sized manufacturing enterprises have significantly insufficient resource investment in production equipment, information systems, capacity management and control, and professional technical personnel training compared to large enterprises. Moreover, with high manufacturing costs and a clear disadvantage in order allocation in the market, it is particularly difficult for small and medium-sized enterprises to build a smart factory.
In response to the difficulties faced by small and medium-sized manufacturing enterprises in their development and the bottlenecks they will encounter in the future, Alps System Integration (Dalian) Co., Ltd. actively explores customers' potential needs and provides system services and solutions that exceed customer expectations. They have diligently developed a range of long-term production and operation methods, such as intelligent management solutions for production equipment, intelligent management solutions for industrial energy consumption, full lifecycle management solutions for molds, smart factory maintenance management solutions, and on-site information management solutions for manufacturing. They focus on enhancing customers' smart factory planning, improving production efficiency, and reducing costs, making it easier for enterprise owners to conduct business extensively and expand development space under the requirements of manufacturing capacity development in the new era.
Alps System Integration (Dalian) Co., Ltd. has been deeply involved in industrial IoT development research for many years and firmly believes that the value of data relies on continuous mining and accumulation. To truly help small and medium-sized enterprises embark on a low-cost smart factory construction path, it is necessary to base the plan on the current status and problems of SME development and chart a sustainable development path that meets the actual needs of enterprises.
Efficient operation of a smart factory can help enterprises flexibly respond to various production needs. Unlike large manufacturing enterprises that spend tens of millions or millions on building a smart factory, small and medium-sized enterprises have limited renovation funds and need more centralized and intensive utilization, building a smart factory with as little cost as possible to achieve more actual output benefits. Alps System Integration (Dalian) Co., Ltd. will continue to pool efforts and persistently work for the intelligent production of small and medium-sized enterprises and the development of industrial IoT.