Due to the late start of domestic smart manufacturing development, the current supply of smart manufacturing system solutions in my country is at the low-end level. The in-depth integration of industrialization and industrialization of domestic manufacturing enterprises is generally still in its infancy, and the development level of intelligent manufacturing is uneven. The evaluation criteria for the integration of the two technologies divide the level of enterprise informatization into the stages of infrastructure construction, partial application, comprehensive integration, and innovation leadership. At present, most enterprises and industries in my country are still in the partial application stage. Only a few large enterprises have a relatively high coverage of information technology for a single business, and a certain degree of collaboration and integration between application systems in key business links has been achieved. From the perspective of the productivity level of manufacturing enterprises, a large number of enterprises in Industry 2.0 need to make up lessons, some enterprises in Industry 3.0 need to be popularized, and some enterprises in Industry 4.0 need to demonstrate.
According to the analysis of industry professionals, domestic intelligent manufacturing system solutions will face three major development trends.
The first major trend: Intelligent manufacturing is a systematic project, and mergers and collaborations in the field of system solutions will become more vivid
Intelligent manufacturing is complex and systemic. It touches the entire life cycle of planning, production, logistics, sales, service and other products, and touches the fulfillment equipment layer, control layer, management layer, enterprise layer, cloud service layer, network layer and other enterprise systems Architecture, the need to end horizontal integration, vertical integration and end-to-end integration. Limited by factors such as lack of capital investment, long technology development cycle, and process barriers, it is difficult for a single system solution provider to meet the needs of intelligent manufacturing for each segmented operation. Enterprises will continue to strengthen collaboration and innovation to strengthen intelligent manufacturing system solutions. The program independently supplies talents. Now, companies such as Dongfang Jinggong and Dingjie Software rely on their own advantages to open up capital mergers and acquisitions and strategic cooperation to expand their business scope and create operating system solutions.
The second major trend: Intelligent manufacturing system architecture will be further improved, and the integration and opening of industrial software will become the key
From the perspective of enterprise system architecture, there has not yet been an intelligent manufacturing solution provider that can open up the entire architecture system in China. However, with the continuous advancement of technology, system solution providers will continue to improve the architecture system. Intelligent manufacturing system solutions mainly rely on software and hardware products and systems, ending the mutual identification, real-time interaction, and information integration of manufacturing elements and resources. From the perspective of hardware, according to the actual demand of a sharp drop in cost, the most versatile part of the hardware will become more modular and standardized. From the perspective of software, industrial software exists in every aspect of intelligent manufacturing. Intelligent manufacturing solutions will increasingly rely on the integration and opening of software parts (SCADA, MES, ERP, PLM) that are closely related to the hardware layer, during which MES It is the most central part of the software layer.
The third major trend: Relying on technology stacking and a deep understanding of operations, leading manufacturing companies gradually use operating system solutions as new growth points
In recent years, leading manufacturing companies have accumulated a considerable degree of specialized knowledge, technology, and talent in the operating industry, and relying on their own in-depth understanding of operating processes, self-use intelligent manufacturing system solutions are getting older. Facing the huge market space of smart manufacturing, these leading manufacturing companies tend to supply solutions for their own use to other users in the same job with common needs, seeking new business growth points. At that time, companies such as Shenzhen Rapoo Technology used their older solutions as independent businesses to supply externally. There were also large manufacturing companies such as Xugong Group and Shaangu Group that transformed internal information technology into external specialized intelligent manufacturing. System solution provider.
In view of the development trend of intelligent manufacturing system solutions, how modern enterprises should respond is a question worth pondering.
1. Do a good job in top-level design and accelerate the development of independent standard systems
Strengthen the ability to independently provide industry system solutions as a focal point for accelerating the development of intelligent manufacturing, introduce relevant policy plans as soon as possible, and strengthen overall planning. Formulate smart manufacturing standardization strategies and standardization roadmaps by industry, and develop standards for smart manufacturing system architecture, reference models, and hardware equipment.
2. Improve the talent policy and accelerate the training of high-end innovative talents
Formulate an intelligent manufacturing talent reserve plan, optimize the growth environment for innovative talents, improve the incentive mechanism for scientific and technological talents, build an expert database of intelligent manufacturing scientific research talents, and build an innovative talent team that can undertake the research and development and industrial application of intelligent manufacturing technology. Relying on major national projects, major projects and key enterprises, establish a mechanism for introducing high-end talents in the field of intelligent manufacturing.
3. Relying on industry alliances to build industry pilot demonstration projects
Give full play to the advantages of the alliance, integrate government, industry, university, research and other resources, establish an intelligent manufacturing innovation center, study the needs and development trends of intelligent manufacturing system solutions, and organize the R&D and industrial application of intelligent manufacturing related software and hardware technologies. Focus on key industries, carry out excellent pilot demonstrations of intelligent manufacturing, and cultivate and develop a group of industry system solution providers.