Gao Taishan: What key problems need to be solved to promote intelligent manufacturing


2022-01-14: [Article Link]  Takata Mountain: What are the key issues that need to be addressed to advance intelligent manufacturing? The Ministry of Industry and Informatics and the National Standards Commission have recently jointly issued the National Smart Manufacturing Standards System Building Guide (2021 editions) (hereinafter referred to as the Guide), which will continue to improve the National Smart Manufacturing Standards System and will guide the construction of a system of standards for intelligent manufacturing in industries that are broken down in order to ensure that standards are supportive and lead to intelligent manufacturing. What will be the major changes in the market for smart manufacturing in 2022? In an interview with journalists in this newspaper, the Deputy Director and Associate Researcher of the Research Unit of the Institute of Business Studies of the Centre for Development Studies of the Department of State stated that smart manufacturing was the deep integration of the new generation of information technology with advanced manufacturing technologies, and that in 2022 we will achieve a new breakthrough in the integrated development of smart manufacturing, as reflected in three areas. One is the new effect of data integration, which is the primary prerequisite for the development of intelligent manufacturing. As a result of the exploration and accumulation of the past few years, local departments will take greater steps to promote open sharing of data, from equipment, units, workshops, factories to cross-sectoral sharing of industrial Internet platforms, to multiple data-sharing, such as design, research and development, production, circulation, services, etc., and to promote new results in intelligent manufacturing. The second is a new experience in the application of scenarios. Smart manufacturing is a huge system project that can hardly be done overnight, starting with simple, typical applications, a good path, and will be an important investment in the development of intelligent manufacturing everywhere. The third is that standards lead to a new phase. In the long run, the development of smart manufacturing cannot be achieved without standardization. The 14th Five-Year Plan of Smart Manufacturing has clear and detailed deployments, the Guide, etc., and the relevant departments will continue to promote standardization in 2022, laying a solid foundation for the construction of smart equipment, workshops and factories. What are the key issues that need to be addressed by our manufacturing enterprises in advancing intelligent manufacturing in the 5G+ industrial Internet age? Tung Kai, Director of the Institute for Industrial Policy of the Sadie think tank (the Centre for Advanced Manufacturing Studies), argues that one is a management issue. It is recommended that manufacturing enterprises use smart management as an important element in advancing intelligent manufacturing, and undertake value chain-wide smart management upgrading. On the one hand, the implementation of lean management in value chains such as product design, R & D, production, marketing, services, etc., and, on the other hand, the embedding of the concept of lean management in industrial software through a new generation of information technology form the basis for the digital transformation of enterprises. The second is the issue of data. It is recommended that manufacturing enterprises advance in-depth taxonomic governance of industrial data on the basis of real-time collection of big data; promote access to data from the consumption to the supply end to the end, remove “data chimneys” and construct data-based management systems throughout the life cycle; and enhance systems security and data security capabilities to build industrial information security protection systems in line with trends in new technologies. Third is the issue of processes and equipment, which are at the core of the manufacturing enterprise, while equipment is a production tool for achieving the process. The key for manufacturing enterprises to advance intelligent manufacturing is to digitize processes and equip them to digitalize; to facilitate the deep integration of advanced processes with digital technologies, to integrate process knowledge closely with industrial data, and to digitize, model, and software the process knowledge. The integration and in-depth integration of equipment with advanced processes, industrial software, industrial networks, increased investment in innovative research and development of smart equipment, and increased digitization of equipment are to be promoted. The smart manufacturing system involves different types of industries up and down, different regions, State-owned, private-owned enterprises, and large and medium-sized enterprises, each with varying digital bases, capabilities, and levels of each link, and the need for enterprises to integrate into the larger ecology and follow a path of synergizing and integrating development. Second, key core technologies need to be broken. For example, large high-end machines, core components of multiaxis industrial robotics, databases, basic industrial software such as EDA, CAD/CAE, are also subject to human constraints. Third, the foundation is slightly weak. In the long run, the development of smart manufacturing will require further strengthening of the digital infrastructure, robust standards systems, and enhanced safety and security in order to create a flexible, well-adapted, safe and reliable smart manufacturing system.


Note: This is a translated version of the Chinese news media article. A mature and nuanced reading is suggested.






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Gao Taishan: What key problems need to be solved to promote intelligent manufacturing


2022-01-14: [Article Link]  Takata Mountain: What are the key issues that need to be addressed to advance intelligent manufacturing? The Ministry of Industry and Informatics and the National Standards Commission have recently jointly issued the National Smart Manufacturing Standards System Building Guide (2021 editions) (hereinafter referred to as the Guide), which will continue to improve the National Smart Manufacturing Standards System and will guide the construction of a system of standards for intelligent manufacturing in industries that are broken down in order to ensure that standards are supportive and lead to intelligent manufacturing. What will be the major changes in the market for smart manufacturing in 2022? In an interview with journalists in this newspaper, the Deputy Director and Associate Researcher of the Research Unit of the Institute of Business Studies of the Centre for Development Studies of the Department of State stated that smart manufacturing was the deep integration of the new generation of information technology with advanced manufacturing technologies, and that in 2022 we will achieve a new breakthrough in the integrated development of smart manufacturing, as reflected in three areas. One is the new effect of data integration, which is the primary prerequisite for the development of intelligent manufacturing. As a result of the exploration and accumulation of the past few years, local departments will take greater steps to promote open sharing of data, from equipment, units, workshops, factories to cross-sectoral sharing of industrial Internet platforms, to multiple data-sharing, such as design, research and development, production, circulation, services, etc., and to promote new results in intelligent manufacturing. The second is a new experience in the application of scenarios. Smart manufacturing is a huge system project that can hardly be done overnight, starting with simple, typical applications, a good path, and will be an important investment in the development of intelligent manufacturing everywhere. The third is that standards lead to a new phase. In the long run, the development of smart manufacturing cannot be achieved without standardization. The 14th Five-Year Plan of Smart Manufacturing has clear and detailed deployments, the Guide, etc., and the relevant departments will continue to promote standardization in 2022, laying a solid foundation for the construction of smart equipment, workshops and factories. What are the key issues that need to be addressed by our manufacturing enterprises in advancing intelligent manufacturing in the 5G+ industrial Internet age? Tung Kai, Director of the Institute for Industrial Policy of the Sadie think tank (the Centre for Advanced Manufacturing Studies), argues that one is a management issue. It is recommended that manufacturing enterprises use smart management as an important element in advancing intelligent manufacturing, and undertake value chain-wide smart management upgrading. On the one hand, the implementation of lean management in value chains such as product design, R & D, production, marketing, services, etc., and, on the other hand, the embedding of the concept of lean management in industrial software through a new generation of information technology form the basis for the digital transformation of enterprises. The second is the issue of data. It is recommended that manufacturing enterprises advance in-depth taxonomic governance of industrial data on the basis of real-time collection of big data; promote access to data from the consumption to the supply end to the end, remove “data chimneys” and construct data-based management systems throughout the life cycle; and enhance systems security and data security capabilities to build industrial information security protection systems in line with trends in new technologies. Third is the issue of processes and equipment, which are at the core of the manufacturing enterprise, while equipment is a production tool for achieving the process. The key for manufacturing enterprises to advance intelligent manufacturing is to digitize processes and equip them to digitalize; to facilitate the deep integration of advanced processes with digital technologies, to integrate process knowledge closely with industrial data, and to digitize, model, and software the process knowledge. The integration and in-depth integration of equipment with advanced processes, industrial software, industrial networks, increased investment in innovative research and development of smart equipment, and increased digitization of equipment are to be promoted. The smart manufacturing system involves different types of industries up and down, different regions, State-owned, private-owned enterprises, and large and medium-sized enterprises, each with varying digital bases, capabilities, and levels of each link, and the need for enterprises to integrate into the larger ecology and follow a path of synergizing and integrating development. Second, key core technologies need to be broken. For example, large high-end machines, core components of multiaxis industrial robotics, databases, basic industrial software such as EDA, CAD/CAE, are also subject to human constraints. Third, the foundation is slightly weak. In the long run, the development of smart manufacturing will require further strengthening of the digital infrastructure, robust standards systems, and enhanced safety and security in order to create a flexible, well-adapted, safe and reliable smart manufacturing system.

Note: This is a translated version of the Chinese news media article. A mature and nuanced reading is suggested.

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