Automated manufacturing is a primary goal that humanity has continuously pursued throughout its long history of production activities. With continuous advancements in science and technology, the level of automated manufacturing has also become increasingly sophisticated. Adopting automated manufacturing technologies not only significantly reduces the labor intensity of operators but also improves production efficiency, product quality, and the manufacturing system's ability to respond to market changes, thereby enhancing the market competitiveness of enterprises. An enterprise's technical system primarily completes activities such as product research and development, design, process design, and production preparation. Automated manufacturing systems need to obtain product design information, process information, and tooling information from the technical system, and they need to feed back various status information of the processing process to the technical system.

　　The development of internet technology has accelerated the pace of social development. In this environment, iteration speed has become a key factor for various enterprises to gain a competitive advantage. If research and development and production cycles remain at the original level, enterprises will be left behind by competitors with faster product launches. The traditional way for factories to improve production efficiency is to have workers strictly follow standardized operating procedures that have been repeatedly studied, and to work overtime from time to time. This high-input, high-energy-consumption work method has become increasingly difficult to improve factory production efficiency.

　　The assembly line, based on large-scale standardized production, is one of the most important inventions of the Second Industrial Revolution. This led to a qualitative leap in human industrial manufacturing. Although the Third Industrial Revolution gave birth to automated production lines, CNC machine tools, and flexible production lines, large-scale standardized production remains the main production mode in manufacturing. With personalized consumption increasingly becoming the mainstream of the market, producing large quantities of diverse personalized customized products will become the main task of manufacturing enterprises. This requires production processes to be highly flexible to adapt to the requirements of personalized production. The smart factory, which integrates virtual and real production, is the product of this new market demand. It is no exaggeration to say that the smart manufacturing model, characterized by networked production and digital manufacturing, has become a key factor determining the success or failure of an enterprise's development.

　　The operation of a smart factory relies on innovative software and powerful hardware, the most important of which is product lifecycle management (PLM) software. The product lifecycle includes initial design, technical debugging, production planning, and assembly line processing, packaging, and boxing. A cycle is only complete when the product is delivered to the end user through logistics. With the further improvement of the Industry 4.0 system, the product lifecycle may even extend to the product's disposal and recycling stage. The smart production model can use PLM software to optimize product production processes. This will also prompt enterprises to change their existing production management methods and adjust their organizational structures. With the gradual disappearance of the demographic dividend, China's demand for intelligent robots and unmanned intelligent factories will become increasingly large.

　　According to German expert Jochen Kerkmann, the digital economic wave has spread from smart home appliances and smart cars to smart factories. The smart manufacturing system, represented by smart factories, is the goal pursued by "industry integration." "Industry integration" refers to the integration of the industrial value chain and various software and hardware technical facilities, so that the production manufacturing system has a rapid response capability, sufficient to adapt to changes in global market dynamics in the shortest possible time and meet the personalized requirements of specific consumers. In a smart manufacturing system that achieves industry integration, all factors, including products, components, processing equipment, intelligent robots, and logistics transportation systems, will be integrated into a unified intelligent network by CPS, and various factors can automatically communicate in the network to achieve data information interaction. In this way, workers no longer need to pass workpieces to be processed from one station to another along the assembly line. In the smart manufacturing system, each workpiece can independently start a "modular processing center" on the production line and independently command intelligent robots to perform relevant operations.

　　Industry integration not only improves resource utilization but also enhances the enterprise's response speed to market dynamics and better meets the increasingly mainstream personalized consumption needs. Therefore, the intelligentization of manufacturing is like a single-celled organism evolving into a multicellular organism, constantly integrating from the intelligentization of individual products to achieve intelligent transformation at different levels and in different fields, eventually evolving into an industry-integrated intelligent manufacturing system.

　　Jiangsu Weilu Robotics Technology Co., Ltd. is a non-standard automation integrator that adheres to the business goals of wisdom, innovation, and leadership. By integrating Industry 4.0, it merges traditional industry with modern information technology to achieve intelligent industrial production, thereby improving energy utilization and production efficiency and increasing the added value of industrial production, products, and manufacturers.