Three departments: to carry out digital transformation pilot enterprise construction in state-owned enterprises and explore the formation of a batch of replicable and promotable digital transformation paths.

On December 25th, the Ministry of Industry and Information Technology and two other departments issued a notice on the "Implementation Guidelines for Digital Transformation of Manufacturing Enterprises." It proposes to establish benchmark digital transformation enterprises, focusing on industry leaders, unicorns, specialized and innovative small and medium-sized enterprises, and high-tech enterprises with strong technical capabilities, optimized business models, new management concepts, and high quality and efficiency, to create a group of "digital leading" enterprises. The guidelines also include conducting pilot projects for the digital transformation of state-owned enterprises and exploring replicable and scalable digital transformation paths. They will also develop and release reference guides for key industries and industrial chains in digital transformation scenarios, select general digital transformation tools and typical cases based on these scenarios, focusing on material digitization, tool digitization, digital "middleware," digital edge nodes, and digital enterprise management software. A selection of technologically advanced, versatile, and highly standardized digital tools and products will be made to provide tool support for manufacturing enterprises' digital transformation and accelerate the process through standardized tools and products. Original Text: Notice from the Ministry of Industry and Information Technology, the State-owned Assets Supervision and Administration Commission of the State Council, and the China Council for the Promotion of International Trade on Issuing the "Guidelines for the Implementation of Digital Transformation of Manufacturing Enterprises" To the industrial and information technology departments of provinces, autonomous regions, municipalities directly under the Central Government, the Xinjiang Production and Construction Corps, the State-owned Assets Supervision and Administration Commission, the China Council for the Promotion of International Trade, relevant central enterprises, and industry associations: The "Guidelines for the Implementation of Digital Transformation of Manufacturing Enterprises" are hereby issued to you for implementation in practice. Ministry of Industry and Information Technology State-owned Assets Supervision and Administration Commission of the State Council China Council for the Promotion of International Trade December 17, 2024 Guidelines for the Implementation of Digital Transformation of Manufacturing Enterprises The digital transformation of manufacturing is the process of using digital technology to transform the entire process of research and development, production, and the industrial chain supply chain in the manufacturing industry, and reshape its value. It is the key path to the high-quality development of the manufacturing industry. Manufacturing enterprises are the main body of the digital transformation of manufacturing, providing guidance for enterprise digital transformation in order to implement the "Action Plan for the Digital Transformation of Manufacturing," to systematically improve the transformation level of enterprises, promote the deep integration of the real economy and the digital economy, and accelerate the development of new industrialization. These guidelines are formulated to this end. I. Overall Requirements Promoting the digital transformation of manufacturing enterprises is a systematic project that should take enterprise development as the starting point, aim to solve the pain points and difficulties of enterprises, focus on improving the total factor productivity, take scenario digitization as the starting point, comprehensively consider the maturity of technology, economic feasibility, and the sustainability of business models, accurately identify the priority areas and key directions of digital transformation, and deepen the application of the new generation of information technology, accelerate the transformation of industrial patterns and enterprise organizational forms, improve core competitiveness, and promote the formation of new productive forces. Adhering to overall planning and step-by-step implementation, following the continuous improvement management method of "planning-implementation-evaluation-optimization," formulating enterprise digital transformation plans, clarifying transformation directions and goals, and promoting digital transformation step by step from small to large, from easy to difficult. Adhering to a problem-oriented and systematic approach, focusing on common demand-side problems, identifying the entry points for transformation, constructing systematic digital transformation scenario maps by industry, clarifying the promotion path, improving the supply capacity of general tools and products, and forming the "solution" of enterprise overall transformation through the "and" of scenario transformation. Adhering to demand-driven and implementing classified strategies, based on the development reality and personalized transformation needs of large, medium, and small enterprises, determining the key points and strategies of digital transformation for different types of enterprises, forming differentiated transformation implementation plans, guiding the collaborative transformation and integrated development of large, medium, and small enterprises. Adhering to market-oriented and government-guided approaches, fully leveraging the market's decisive role in resource allocation, guiding digital factors to converge towards manufacturing enterprises, and ensuring the smooth circulation of supply and demand through the large-scale application. Enhancing the government's guiding role, strengthening policy support in standards, talent, and industry-finance, and forming a joint force to promote transformation. II. Step-by-step Organizational Implementation 1. Formulate Transformation Plans Evaluate and diagnose the maturity of digital integration management systems, digital transformation, intelligent manufacturing, and the digital level of small and medium-sized enterprises based on reference standards such as automation and information technology. Systematically comb through the enterprise's automation and information-based conditions, accurately understand the actual situation of the enterprise's digital development, identify the pain points of transformation needs and application scenarios, conduct input-output calculations and risk assessments, and clarify transformation goals and directions. Based on the system engineering (MBSE) methodology, prepare a planning proposal, systematically design the target vision, task framework, system architecture, technology roadmap, standard system, implementation tasks, input budget, and guarantee conditions for the digital transformation, establish phased subtasks and a list of implementation projects to provide clear direction and content for the subsequent organizational implementation. 2. Organize and Implement on the Ground Strengthen organizational and conditional guarantees in enterprises, establish positions such as Chief Information Officer (CIO) and Chief Data Officer (CDO), form specialized teams for digital transformation, and continuously increase digital input. Encourage all employees to strengthen digital concepts, continuously improve internet thinking and big data thinking, promote product innovation based on data, and optimize product data services. Select external service providers as needed, strengthen the deep integration of software developers, automation integrators, and platform service providers, and create synergy in system implementation. Implement projects to a high standard, deeply involve in the outsourcing development process, strengthen process supervision, quality control, and intellectual property protection, promote better alignment and integration of digital projects with enterprise operations, make full use of new generation information technology to enhance lean management capabilities, improve operational efficiency, and continuously optimize the effectiveness of digital transformation implementation. 3. Conduct Effectiveness Evaluation Based on business objectives and process optimization, enterprises should conduct transformation performance evaluations, focusing on indicators such as revenue growth rate, profit margin, R&D cycle, production and operation efficiency, inventory turnover rate, and customer satisfaction, summarize the achievement of transformation goals, and propose optimization and improvement directions. Conduct a digital capability evaluation, focus on indicators such as system usability, compliance with standards, and data quality levels, summarize existing problems and propose improvement measures. Effectiveness evaluations can be conducted through self-evaluation or third-party assessments, and enterprise participants in the evaluation should include enterprise leaders, department heads, and frontline technical workers."I will meet you tomorrow at the usual place."() Based on the evaluation results of digitalization effectiveness, enterprises iterate solution versions to address the shortcomings and deficiencies in the transformation implementation, strengthen security protection, and optimize implementation effectiveness. Based on their own strategic positioning and business development direction, further develop the next stage of digital transformation goals and tasks, coordinate the digital transformation of scenarios and business digital upgrades, continuously strengthen the lean management level of the entire process, and achieve a spiral improvement of digital transformation. Three, Focus on Scenario Breakthroughs 1. Strengthen Cloud-Based Collaborative Research and Development Design Guide enterprises to carry out cloud-based research and development design, subscribe to product design and simulation software services as needed, improve product simulation efficiency, and reduce software maintenance costs. Promote collaborative research and development design within enterprises, especially encouraging manufacturing companies represented by high-end equipment to build collaborative design platforms and strengthen design collaboration, encourage component companies to use the platform, and shorten product design cycles. Encourage enterprises to explore new applications of intelligent research and development, develop "artificial intelligence+" research and design software, build design models, simulation models, and other data sets, conduct model training, develop creative design, real-time simulation, and other innovative applications, and accelerate the R&D of new products. 2. Promote Intelligent Transformation of Production Processes Guide enterprises to carry out transparent management of the entire production process, encourage the deployment of lightweight industrial apps such as order management, equipment management, and quality management based on industrial Internet platforms, to enhance the digital control capabilities of production processes. Guide process industrial enterprises to deploy advanced control systems (APC) and real-time optimization control systems (RTO), promote the application of production decision control based on digital twins, improve the intelligent level of production operations such as production process improvement, equipment parameter tuning, and material balance through the integration of digital main lines. Encourage discrete industrial enterprises to implement model-based systems engineering, connect data flows such as design, scheduling, processing, and testing based on industrial Internet platforms, develop new modes such as "artificial intelligence+" appearance design, scheduling and production scheduling, defect detection, etc., and continuously improve production efficiency and product quality through model-based continuous improvement of production efficiency and product quality. Encourage enterprises to... (Continued)Resilience and risk prevention capability.() Large enterprises accelerate "overall" transformation Large enterprises adhere to systematic thinking, innovative leadership, formulate overall transformation plans, and promote digital transformation of the entire process, all scenarios, and the entire chain. Jianshe Industry Group Internet platform enhances capabilities such as data collection, knowledge accumulation, business connectivity, and ecological construction, realizing data-driven intelligent production decision-making and operational optimization. Innovate organizational management models, promote the transition of management architecture from hierarchical to flexible organizations, build a networked, flattened, and open new organizational system, explore dynamic management based on real-time data, transparent management, and accelerate the transformation of enterprise management models. Innovate business models, build a manufacturing system that is collaborative between R&D design, production manufacturing, and supply chain, explore mechanism innovations that precisely align user individual needs with design and manufacturing, promote service transformation towards quality traceability, equipment health management, and product value-added services, cultivate new business growth points. () Small and medium-sized enterprises implement "step-by-step" transformation Small and medium-sized enterprises adhere to the principle of adapting to individual conditions, focusing on breakthroughs, assessing the potential value and feasibility of transformation, and specifying transformation priorities. Small and medium-sized enterprises with better foundations, such as "small giants," should strengthen the deployment and application of key business systems, carry out systematic integrated transformation around complex scenarios such as product digital twins, design and manufacturing integration, and personalized customization, and enhance enterprise competitiveness. Provincial-level small and medium-sized enterprises with specialized and new characteristics, and small and medium-sized industrial enterprises, should focus on urgent scenarios for deep transformation. Micro-enterprises should consider their own resource constraints, carry out inclusive cloud-based digitization, actively migrate to cloud platforms, fully utilize industrial Internet platforms for cloud-based R&D design, production management, and operation optimization subscription services, migrate business systems to the cloud, and improve business operation levels. Strengthen standard compatibility, information sharing, and business collaboration with leading enterprises, and fully integrate into the industrial chain supply chain. V. Strengthen policy support (1) Strengthen organizational implementation The Ministry of Industry and Information Technology, the State-owned Assets Supervision and Administration Commission of the State Council, the All-China Federation of Industry and Commerce strengthen work coordination, give full play to the role of management mechanisms related to the integration of the two industries, and coordinate the promotion of various work. Relevant competent authorities in various regions actively promote guidelines, formulate supporting policies based on actual conditions, explore digital transformation pilot projects in scenarios, and play a good "combination punch" in policies. Encourage industry associations, research institutions, and others to strengthen collaboration, explore industry transformation needs and typical application cases, promote precise cooperation between manufacturing enterprises and software developers, automation integrators, platform service providers, and others based on graphs. (2) Increase policy support Relevant authorities should give full play to existing special funds, promote financial institutions to innovate financial products and services that meet the needs of enterprise transformation, drive local governments, venture capital institutions, and other social funds to increase support for the digital transformation of manufacturing enterprises. Encourage localities to rely on city pilot projects for new technology transformation in manufacturing and digital transformation of small and medium-sized enterprises, carry out the construction of digital transformation scenarios, standard formulation, equipment updates, first-generation software incubation, and supply-demand matching work in the manufacturing digital transformation graph, and provide policy and financial support for the digital transformation of manufacturing enterprises. Implement the application and expansion of scientific and technological achievements of manufacturing enterprises, focus on improving the resilience and security level of the industrial chain. (3) Improve the standard system Encourage various standardization organizations, research institutions, backbone enterprises to compile a standard system for the digital transformation of manufacturing, formulate an index of digital scenarios in the industrial chain, focus on basic commonalities, typical scenarios, solutions, etc., sort out key urgent standard lists, clarify the promotion route map and timetable, strengthen the supply of digital transformation standards, promote the standardization adaptation and scale replication of digital solutions. Support localities in carrying out digital transformation workstations, "standard weeks," standard promotion meetings and other activities, promote the release and implementation of mature and easy-to-use digital transformation standards, promote the application of the National Standard DCMM in data management maturity assessment models, and lead traditional industries in optimizing and upgrading through national standards. (4) Improve service support Encourage industry-leading enterprises to jointly build standardized, low-cost, and reusable solutions with digital transformation service providers, forming a resource pool of service providers. Accelerate the cultivation of professional software developers, automation integrators, and platform service providers deeply involved in the industry, explore incubating data businesses and third-party professional service institutions that provide services such as data ownership, transactions, revenue distribution, and security governance, carry out the formulation and implementation of standardized evaluation norms for service providers, and solidify them based on innovation centers, public service platforms, etc., build a "innovation laboratory + public service platform" manufacturing digital transformation service carrier, create a Wuxi Online Offline Communication Information Technology Co., Ltd. collaborative digital transformation service system that connects at multiple levels from provincial to municipal to county levels for the entire supply chain. (5) Strengthen pilot promotion Establish benchmark digital transformation enterprises, focus on industry leaders, unicorns, small and medium-sized enterprises with specialization and new capabilities, and high-tech enterprises with strong technical capabilities, superior business models, innovative management concepts, and high quality and efficiency, create a group of "digital navigation" enterprises. Carry out the construction of digital transformation pilot enterprises in state-owned enterprises, explore forming a replicable and scalable digital transformation path. Develop and release reference guides for digital transformation scenarios in key industries and key industrial chains, based on scenario maps, carry out digital transformation common tools and selective case selection, focusing on material digitalization, tool digitalization, digital "middleware," digital edge nodes, and digital enterprise management software, select a group of technically advanced, universally applicable, highly standardized digital common tools and products, provide tools and support for the digital transformation of manufacturing enterprises, and accelerate the digital transformation of manufacturing enterprises through standardized tool products. (6) Strengthen data-driven initiatives Encourage industry-leading enterprises to build high-quality industrial data corpora to support industrial artificial intelligence training and application promotion, and explore the potential value of industrial data. Promote the construction of the national industrial internet big data center, establish a multi-level national industrial basic big data center, industry database, and promote product.Master data standard construction, create an industrial data space, promote convenient and efficient data circulation.(Seven) Strengthen Security Measures Improve the network security management system of industrial enterprises, thoroughly implement the classification and grading management of industrial Internet security, establish and improve mechanisms for classified protection, assessment and testing, monitoring and warning, information dissemination, and effectiveness evaluation, guide enterprises to implement the relevant requirements of the "Industrial Control System Network Security Protection Guidelines", carry out identification and recognition of important industrial control systems, and build an industrial control security assessment system. Urge enterprises to implement the requirements of laws and policies such as the "Data Security Law" and the "Management Measures for Data Security in the Industrial and Information Fields (Trial)", strengthen the identification and filing of important data, carry out data classification and grading protection and security risk assessment, strengthen risk monitoring and warning, and emergency response capabilities, effectively enhance the level of industrial data security protection. (Eight) Build a Talent Team Guide manufacturing enterprises to carry out comprehensive digital literacy skills improvement actions, strengthen the cultivation of compound talents, and provide strong support for digital transformation. Deepen the integration of production and education, support the construction of "new engineering disciplines" in the field of digital transformation, establish a mechanism for joint training of schools and enterprises, encourage enterprises to actively participate, and continuously strengthen the team of professional technical and compound talents. Explore the establishment of a platform for predicting the demand for talents in the field of digital transformation and information services, build a bridge between talent supply and demand, promote high-quality and efficient matching of talents, and smooth and orderly flow. Improve the talent evaluation mechanism in the field of digital transformation, fully mobilize and stimulate the enthusiasm and creativity of the talent team, and create a good environment for talent development. This article is compiled from the official website of the Ministry of Industry and Information Technology, edited by GMTEight: Jiang Yuanhua.