MIIT Announces 2026 Pilot-Level Smart Factory Cultivation List: 34 New Entrants, AI Application Scenarios to Account for No Less Than 60%

In October 2026, the Ministry of Industry and Information Technology publicly announced the proposed list of projects selected for cultivation as Leading-Level Smart Factories for 2026, with 34 smart factory projects selected.

At present, China carries out tiered cultivation of smart factories at four levels: foundational, advanced, excellent, and leading. According to the "Element Conditions for Tiered Cultivation of Smart Factories (2026 Edition)," leading-level smart factories focus on intelligent transformation in their construction, promote the deep integration of next-generation artificial intelligence technology with advanced manufacturing technology and advanced management methods, and explore globally leading future manufacturing models. The construction of leading-level smart factories must cover five links: factory construction, R&D and design, production operations, production management, and operations management, and use "data + knowledge" to drive the reshaping of innovation paradigms, production methods, and management models.

Leading-level smart factories not only require major technical and economic indicators to be globally leading and the proportion of artificial intelligence technology application scenarios to be no less than 60%, but also aim to carry out the development and maturation of advanced technologies, core processes, and key equipment through methods such as "mother factories," achieving efficient, controllable external output and replication and promotion of advanced manufacturing capabilities, and promoting advanced manufacturing models and solutions to upstream and downstream of the supply chain. At the same time, the cultivated intelligent manufacturing solutions must achieve external output, form a relatively complete "standards cluster" for enterprise intelligent manufacturing, and promote the formation of industry and national standards.

As of the end of September this year, China had cumulatively built more than 13,000 advanced-level and more than 500 excellent-level smart factories, and had cultivated 15 leading-level smart factories. After the conclusion of this public announcement period, the cultivation list of leading-level smart factories will be expanded.

Public Announcement of the Proposed List of Projects for Cultivation as Leading-Level Smart Factories for 2026

According to the "Notice on Carrying Out the 2026 Tiered Cultivation Action for Smart Factories" (MIIT General Office Communications Equipment Letter [2026] No. 343), the proposed list of projects selected for cultivation as Leading-Level Smart Factories for 2026 is hereby publicly announced for supervision by all sectors of society. If there are any objections, please submit written opinions to the Equipment Industry Division I (Intelligent Manufacturing Division) of the Ministry of Industry and Information Technology within the public announcement period.

Public announcement period: October 27, 2026 to November 2, 2026

A robot operates on the assembly line in the workshop of the Xiaomi Automobile factory located in the Beijing Economic-Technological Development Area

Attachment: Publicly Announced List of Projects for Cultivation as Leading-Level Smart Factories for 2026

Serial No. Enterprise Name Project Name Project Location

1 Xiaomi Automobile Technology Co., Ltd. AI-Driven Agile Manufacturing Super Smart Factory for High-End New Energy Vehicles Beijing Municipality

2 Tasly Pharmaceutical Group Co., Ltd. Modern Chinese Medicine Smart Factory with Whole-Industry-Chain Quality and Quantity Precision Control Tianjin Municipality

3 Shougang Jingtang United Iron and Steel Co., Ltd. Green Steel Ultimate Manufacturing Smart Factory Under Ultra-High Complexity Hebei Province

4 CITIC Dicastal Co., Ltd. Smart Factory for Extremely Resilient Lightweight Aluminum Automotive Parts Through Global Value Co-Creation Hebei Province

5 Baotou Aluminum Co., Ltd. High-End Electrolytic Aluminum Smart Factory Oriented Toward Ultimate Energy Efficiency Inner Mongolia Autonomous Region

6 Shenyang Blower Works Group Co., Ltd. National Cornerstone · Integrated R&D, Production, and Service Smart Factory for High-End Turbomachinery Equipment Liaoning Province

7 FAW-Volkswagen Automotive Co., Ltd. Mother Factory for Agile Intelligent Manufacturing of Multiple Vehicle Models with Mixed Oil-Electric Production Jilin Province

8 Harbin Electric Machinery Company Limited High-Reliability Hydropower Equipment Smart Factory Under a Full-Chain Ultimate Quality-Driven Model Heilongjiang Province

9 Hudong-Zhonghua Shipbuilding (Group) Co., Ltd. Smart Factory for Full-Chain Collaborative Parallel Construction of Large LNG Ships Shanghai Municipality

10 Shanghai Electric Power Generation Equipment Co., Ltd. Smart Factory for Full Value Chain Enhancement of High-End Energy Equipment Driven by Industrial Intelligence Shanghai Municipality

11 Daqo Group Co., Ltd. Knowledge-Driven Agile Customization Smart Factory for High-End Power Transmission and Distribution Equipment Jiangsu Province

12 HLA Group Corp., Ltd. Flexible Quick-Response Apparel Smart Factory Based on Demand Insight Jiangsu Province

13 Nantong COSCO KHI Ship Engineering Co., Ltd. "Zero-Margin Shipbuilding" Smart Factory Driven by Autonomous Lean Management Jiangsu Province

14 Zenith Steel Group (Nantong) Co., Ltd. Full-Chain Autonomous Agile Smart Factory for Premium Bar and Wire Rod Jiangsu Province

15 ZTT Submarine Cable Co., Ltd. Integrated High-Efficiency Customization and Engineering Services Submarine Cable Smart Factory Jiangsu Province

16 ZTE Corporation (Nanjing) Co., Ltd. Multi-Agent-Driven Smart Factory for Communication and Computing Power Equipment with Autonomous "Dual-Flow" Circulation Jiangsu Province

17 Tongkun Group Co., Ltd. Autonomous and Controllable Green Chemical Fiber Super Smart Factory with Thousands of Products on Shared Lines Zhejiang Province

18 Zhongce Rubber Group Co., Ltd. Tire Smart Factory Based on Ultra-Flexible Customization Across the Full Lifecycle Zhejiang Province

19 LCFC (Hefei) Electronics Technology Co., Ltd. AI PC Smart Factory with Full-Domain Collaboration and Ultimate Agile Delivery Anhui Province

20 Ningde Amperex Technology Limited Lithium Battery Smart Factory Driven by Low-Entropy Manufacturing Fujian Province

21 Jiangxi Copper Corporation Limited AI-Empowered Copper Smelting Smart Factory with Full Conversion of Multiple Metals Jiangxi Province

22 Goertek Inc. Agile and Flexible Precision Electroacoustic Components Smart Factory Based on Vertical Integration and Independent Equipment Shandong Province

23 Hisense Visual Technology Co., Ltd. RGB High-End Display Smart Factory Through Value Co-Creation Shandong Province

24 CRRC Qingdao Sifang Co., Ltd. Full-Chain Collaborative Smart Factory for Mixed-Line Production of Multiple Series of High-Speed Trains Shandong Province

25 Daye Special Steel Co., Ltd. Ultimate Customization Smart Factory for Core Special Steel of National Heavy Equipment Oriented Toward Zero Defects Hubei Province

26 TBEA Hengyang Transformer Co., Ltd. Adaptive Smart Factory for High-Voltage Transformers Oriented Toward First-Time Success Hunan Province

27 Zhuzhou CRRC Times Electric Co., Ltd. Trusted Human-Machine Collaborative Intelligence Smart Factory for Extremely Safe and Reliable Converter and Control Systems Hunan Province

28 Huafeng Chongqing Spandex Co., Ltd. Ultimate Quality and Efficiency Spandex Smart Factory Based on Industrial Intelligence Chongqing Municipality

29 Seres Automobile Co., Ltd. Industry-Brain-Driven Fully Integrated New Energy Vehicle Smart Factory Chongqing Municipality

30 Chongqing Zongshen Power Machinery Co., Ltd. Flexible Customization Smart Factory for High-End Motorcycle Engines Based on Digital-Intelligence Drivers Chongqing Municipality

31 Dongfang Electric Corporation Dongfang Turbine Co., Ltd. Modular Smart Factory with Full-Domain Collaboration for High-End Power Generation Equipment Sichuan Province

32 Luzhou Laojiao Co., Ltd. Baijiu Smart Factory Integrating Intangible Cultural Heritage Craft Inheritance with AI Innovation Sichuan Province

33 AVIC Xi'an Aircraft Industry Group Co., Ltd. Flexible Collaborative High-Performance Manufacturing Smart Factory for Large Aircraft Shaanxi Province

34 PetroChina Dushanzi Petrochemical Company Integrated R&D-Production Green Collaborative Smart Factory for New Chemical Materials Xinjiang Uygur Autonomous Region

Notice of the General Offices (Comprehensive Departments) of the Ministry of Industry and Information Technology and Five Other Departments on Carrying Out the 2026 Annual Smart Factory Tiered Cultivation Action

MIIT General Office Joint Communication Equipment Letter [2026] No. 343

To the industry and information technology, development and reform, finance, state-owned assets, market regulation, and data authorities of all provinces, autonomous regions, municipalities directly under the Central Government, cities with independent planning status, and the Xinjiang Production and Construction Corps, and relevant central enterprises:

To promote the digital-intelligent transformation and upgrading of the manufacturing industry and accelerate the development of a new generation of intelligent manufacturing, in accordance with the Measures for the Tiered Cultivation and Management of Smart Factories (Interim) (MIIT Joint Communication Equipment [2025] No. 262), the Ministry of Industry and Information Technology, the National Development and Reform Commission, the Ministry of Finance, the State-owned Assets Supervision and Administration Commission of the State Council, the State Administration for Market Regulation, and the National Data Administration jointly carry out the 2026 Annual Smart Factory Tiered Cultivation Action. The relevant matters are notified as follows:

I. Cultivation of Advanced-Level Smart Factories

Basic-level smart factories focus on digital transformation, while advanced-level smart factories focus on enhancing digital and networked capabilities. Construction shall be carried out in accordance with the relevant requirements of the Element Conditions for Tiered Cultivation of Smart Factories (2026 Edition) (Annex 1, hereinafter referred to as the Element Conditions), with reference to the Guiding Guidelines for Typical Scenarios of Intelligent Manufacturing (2025 Edition) (hereinafter referred to as the Scenario Guidelines). Industrial enterprises above designated size may voluntarily carry out self-assessment and self-construction of basic-level smart factories. On this basis, provincial industry and information technology authorities, together with relevant departments, shall do a good job in the cultivation and recognition of advanced-level smart factories in their regions, and central enterprises shall do a good job in the cultivation and recognition of advanced-level smart factories in their groups, and shall submit the list of advanced-level smart factories to the Ministry of Industry and Information Technology (Department of Equipment Industry I); central enterprises shall simultaneously submit it to the State-owned Assets Supervision and Administration Commission of the State Council (Bureau of Science and Technology Innovation).

II. Cultivation of Excellence-Level Smart Factories

Excellence-level smart factories focus on implementing intelligent upgrading and building nationally leading development benchmarks, and must meet the requirements of the Element Conditions.

(I) Application Conditions

1. The applicant entity shall be registered within the territory of the People's Republic of China and have independent legal personality (for industries with special circumstances such as petroleum and petrochemicals and nonferrous metals, branches of legal persons are permitted to apply).

2. The applicant entity shall have completed the construction of a smart factory and been recognized as an advanced-level smart factory, with intelligent manufacturing reaching the domestic leading level, and shall have carried out exploration in the application of new technologies such as artificial intelligence.

3. The applicant entity shall cooperate in carrying out on-site verification, technology promotion, and exchange of typical cases.

(II) Organization and Implementation

1. The applicant entity shall, with reference to the Scenario Guidelines, prepare an application in accordance with the Element Conditions and the List of Application Materials for Excellence-Level Smart Factory Projects (Annex 2), and complete the online application by August 15, 2026. The applicant entity shall be responsible for the authenticity of the application content, strictly comply with relevant national confidentiality provisions, and ensure that the application materials do not involve state secrets or trade secrets.

2. Provincial industry and information technology authorities, together with development and reform, finance, state-owned assets, market regulation, and data authorities, shall organize project recommendation work in their regions, and relevant central enterprises shall organize project recommendation work in their groups. Provinces (autonomous regions and municipalities) ranked in the top 10 by industrial added value in 2025 may recommend no more than 40 projects, those ranked 11th to 20th may recommend no more than 30 projects, and other provinces (autonomous regions and municipalities) may recommend no more than 20 projects; the Xinjiang Production and Construction Corps and relevant central enterprises may recommend no more than 5 projects. Projects of cities with independent planning status shall be recommended by their respective provinces.

3. Recommending units shall complete online review by September 1, 2026, fill in the recommendation summary table (Annex 3) in order of project priority, and submit one paper copy each of the application, recommendation summary table, and recommendation letter, affixed with the official seal, to the Ministry of Industry and Information Technology (Department of Equipment Industry I); central enterprises shall simultaneously submit them to the State-owned Assets Supervision and Administration Commission of the State Council (Bureau of Science and Technology Innovation).

4. The Ministry of Industry and Information Technology, together with relevant departments, shall organize expert review, on-site spot checks, list publication, and publicity and promotion for excellence-level smart factories.

III. Cultivation of Pilot-Level Smart Factories

Pilot-level smart factories explore future manufacturing models, realize leadership in intelligent transformation, and build globally leading development benchmarks, and must meet the requirements of the Element Conditions.

(I) Application Conditions

1. The applicant entity shall be registered within the territory of the People's Republic of China and have independent legal personality (for industries with special circumstances such as petroleum and petrochemicals and nonferrous metals, branches of legal persons are permitted to apply).

2. The applicant entity must be a leading enterprise in this industry and field, with core products that are globally competitive, and must have the necessary funds, talent, technology, and other resources to invest in the construction of a pilot-level smart factory.

3. The applicant entity must have already been rated as an excellence-level smart factory, promote the extensive and in-depth application of new technologies such as artificial intelligence, explore future manufacturing models and the new-generation smart manufacturing system architecture, and accelerate the transformation of innovation paradigms, production methods, and management models.

4. The applicant entity must cooperate in carrying out on-site verification, technology promotion, exchange of typical cases, and other work.

(II) Organization and Implementation

1. The applicant entity shall refer to the Scenario Guidelines, prepare the application document in accordance with the Element Conditions and the List of Application Materials for Pilot-Level Smart Factory Projects (Attachment 4), and complete the online application before August 15, 2026. The applicant entity shall be responsible for the authenticity of the application content, strictly comply with relevant national confidentiality provisions, and ensure that the application materials do not involve state secrets or commercial secrets.

2. The provincial competent departments of industry and information technology, together with the competent departments of development and reform, finance, state-owned assets supervision, market regulation, and data, shall organize the project recommendation work. The number of projects recommended by each province (autonomous region, municipality) shall not exceed 10% of the cumulative number of its excellence-level smart factory projects (rounded up), and projects of cities with independent planning status and central enterprises shall be recommended by the province (autonomous region, municipality) in which they are located.

3. The recommending unit shall complete the online review before September 1, 2026, fill in the recommendation summary table (Attachment 5) in order of project priority, and submit one paper copy each of the application document, the recommendation summary table, and the recommendation letter, affixed with the official seal, to the Ministry of Industry and Information Technology (Department of Equipment Industry I).

4. The Ministry of Industry and Information Technology, together with relevant departments, shall organize the National Smart Manufacturing Expert Committee to carry out expert review, on-site spot checks, and defense for pilot-level smart factories, form a cultivation list, and carry out publicity and promotion.

IV. Other Matters

1. The competent departments of industry and information technology, development and reform, finance, state-owned assets supervision, market regulation, and data in all localities, and relevant central enterprises, shall strengthen tiered guidance and supervision of smart factories, regard them as key carriers for developing the new generation of smart manufacturing, and, based on their own actual conditions, support the construction of smart factories, the development of industrial intelligent agents, and other work, so as to promote the high-end, intelligent, and green development of the manufacturing industry; they shall strengthen on-site spot checks of excellence-level and pilot-level smart factory projects proposed for recommendation, and improve the quality of recommended projects.

2. The application, review, management, evaluation, and other work for smart factory projects shall be carried out based on the Smart Manufacturing Data Resource Public Service Platform (www.miit-imps.com).

3. Contact Information

Department of Equipment Industry I, Ministry of Industry and Information Technology　　010-68205630

Contact phone: 15010075395 18610885074

Attachments: 1. Element Conditions for Tiered Cultivation of Smart Factories (2026 Edition)

These Element Conditions are formulated to guide the tiered construction of basic-level, advanced-level, excellence-level, and pilot-level smart factories.

I. Basic Requirements

1. The enterprise shall be an industrial enterprise above designated size, and both the enterprise and its products shall have relatively strong market competitiveness.

2. The enterprise shall have good operating and financial conditions in the past three years, no adverse credit records, no relatively major or larger accidents in safety, environmental protection, and other areas, no illegal or non-compliant acts, and no violation of relevant national industrial policies.

3. The key technical equipment, industrial software, systems (including industrial control systems), and other technologies used by the factory shall be secure and controllable, and cybersecurity and data security risks shall be controllable.

4. The enterprise shall establish an organizational mechanism for the overall planning, construction, and operation of smart factories, and shall have a group of professional smart manufacturing talents.

5. The self-assessment level of smart manufacturing capability maturity for basic-level and advanced-level factories shall reach Level 2 or above in GB/T 39116-2020 "Smart Manufacturing Capability Maturity Model"; excellence-level smart factories shall reach Level 3 or above; and pilot-level smart factories shall reach Level 4 or above.

II. Basic-Level Smart Factories

Factories shall focus on digital transformation for construction, deploy necessary smart manufacturing equipment, industrial software, and systems around typical smart manufacturing scenarios, integrate mature intelligent software and hardware modules on key equipment and systems, and realize real-time collection of core data, automation of key production processes, and informatization of production and operation management.

(I) Construction Content

Enterprises are encouraged to refer to the Reference Guidelines for Typical Smart Manufacturing Scenarios (2025 Edition) and carry out smart factory construction around factory construction, R&D and design, production operations, production management, operation management, and other areas, and to cover at least the production operations link.

1. Factory construction [1]: carry out digital planning and construction at the production line and workshop levels; deploy secure and controllable smart manufacturing equipment, industrial software, systems (including industrial control systems), and digital infrastructure.

2. R&D and design [2]: apply digital design tools to carry out product and process R&D and design, and realize standardized management of design data, documents, and drawings.

3. Production operations [3]: carry out digital transformation and process optimization of key equipment, configure equipment such as automated inspection as needed, realize visual monitoring of the status of key equipment and systems, and automate key production processes.

4. Production management [4]: apply production information systems to manage production plans, equipment assets, production materials, and other matters, realize standardization of key production processes, and support lean management improvement.

5. Operation management [5]: apply operation information systems to manage procurement, sales, inventory, finance, human resources, and other matters, and realize accurate accounting of operating data and quantitative evaluation of performance indicators.

(II) Construction Results

Refer to the Key Performance Indicators for Intelligent Factory Construction (Reference) (Appendix) and GB/T 47695‑2026 "Methods for Evaluating the Intelligent Manufacturing Efficiency of Enterprises" to assess the effectiveness of intelligent factory construction; the main technical and economic indicators should be higher than the average level of the same industry in the province (autonomous region, municipality).

III. Advanced-Level Intelligent Factory

The factory should focus on networked collaboration in its construction, widely deploy intelligent manufacturing equipment, industrial software, and systems for typical intelligent manufacturing scenarios, carry out intelligent applications in key scenarios, and achieve interconnected and shared production and operation data, precise control of key production processes, and coordinated control of production and operations.

(I) Construction Content

Enterprises are encouraged to refer to the Guiding Reference for Typical Intelligent Manufacturing Scenarios (2025 Edition) and carry out intelligent factory construction around factory construction, R&D and design, production operations, production management, operation management, and other areas, covering at least the three links of production operations, production management, and operation management. 1. Factory construction: carry out workshop-level and factory-level digital planning and construction, conduct simulation of process routes, production line layouts, logistics paths, and other aspects; widely deploy secure and controllable intelligent manufacturing equipment, industrial software, and systems (including industrial control systems); establish the necessary digital infrastructure and carry out key data governance work. 2. R&D and design: based on digital models, carry out product and process R&D and design, collaborative simulation, and iterative optimization, and achieve unified management of product and process design data. 3. Production operations: apply digital and intelligent technologies to key equipment and processes, achieve precise control of key production processes, analysis and optimization of key processes, abnormal-condition early warning for key equipment, and dynamic control of product quality. 4. Production management: through digital integrated control of production execution, warehousing and logistics, equipment maintenance, and other aspects, achieve intelligent assisted production planning and scheduling based on algorithmic models and collaborative management of business processes, and carry out digital control of safety, energy, and environmental protection. 5. Operation management: through the data integration and connectivity of business such as operation management and production operations, apply digital management tools to achieve effective cost control, customer relationship management, dynamic evaluation of performance indicators, and other goals, and carry out digital supply chain management.

(II) Construction Results

1. Refer to the Key Performance Indicators for Intelligent Factory Construction (Reference) (Appendix) and GB/T 47695‑2026 "Methods for Evaluating the Intelligent Manufacturing Efficiency of Enterprises" to assess the effectiveness of intelligent factory construction; the main technical and economic indicators should be at the leading level of the same industry in the province (autonomous region, municipality). 2. Play a leading and driving role in the same industry in the province (autonomous region, municipality).

IV. Excellence-Level Intelligent Factory

The factory should focus on intelligent upgrading in its construction, systematically deploy intelligent manufacturing equipment, industrial software, and systems for typical intelligent manufacturing scenarios, deepen the collaborative application of artificial intelligence technology across multiple scenarios, achieve integrated and connected design, production, and operation data, autonomous control of equipment, continuous improvement of processes, and intelligent management decision-making, and carry out comprehensive optimization of the entire product lifecycle, the entire production and manufacturing process, and all links of the supply chain.

(I) Construction Content

Enterprises are encouraged to refer to the Guiding Reference for Typical Intelligent Manufacturing Scenarios (2025 Edition) and carry out intelligent factory construction around factory construction, R&D and design, production operations, production management, operation management, and other areas, and in principle should cover all five links.

1. Factory construction: carry out overall digital planning and construction of the factory, conduct system-level modeling and optimization of the factory, advance workshop-level or factory-level digital twin construction, achieve digital delivery, and support real-time interaction with the real factory; systematically deploy secure and controllable intelligent manufacturing equipment, industrial software, and systems (including industrial control systems); build complete high-performance networks, computing power, and other digital infrastructure, and carry out data governance work based on unified semantics.

2. R&D and design: integrate and connect product lifecycle data, carry out unified modeling of products and processes, expand virtual verification, simulation, and debugging, and achieve agile development and rapid iteration; build product design libraries and process knowledge bases, carry out generative design, support the rapid generation and continuous optimization of design schemes, improve design efficiency, and reduce R&D costs.

3. Production operations: carry out comprehensive perception and cross-system integration of production processes, real-time process optimization, continuous quality improvement, and predictive equipment maintenance, build reconfigurable manufacturing systems, and achieve comprehensive optimization and agile response across the entire production process.

4. Production management: through the integrated and connected management of all production factors such as "people, machines, materials, methods, safety, energy, and environment," achieve dynamic optimization of production plans and workshop scheduling based on intelligent models, efficient inventory management, intelligent optimization of logistics routes, and dynamic optimization of energy consumption and emissions, and promote efficient and refined management and comprehensive optimization of the production process.

5. Operation management: carry out digital and intelligent empowerment of enterprise business activities, integrate and connect data from R&D, production, supply chain, sales, and other links, explore the construction of industrial agents, achieve applications such as lean management, precision marketing, value-added services, and supply chain risk early warning, and support timely perception of enterprise operating status and rapid, precise decision-making.

(II) Construction Results

1. Refer to the Key Performance Indicators for Intelligent Factory Construction (Reference) (Appendix) and GB/T 47695‑2026 "Methods for Evaluating the Intelligent Manufacturing Efficiency of Enterprises" to assess the effectiveness of intelligent factory construction; the main technical and economic indicators should be at the leading level of the same industry in China, and the proportion of scenarios applying artificial intelligence technology should be no less than 30%.

2. Play a leading and driving role in the same industry in China, and drive upstream and downstream members of the supply chain to collaboratively carry out digital and intelligent upgrading.

3. Cultivate and form intelligent manufacturing solutions with industry promotion value, and explore the construction of an enterprise intelligent manufacturing "standards cluster."

4. Establish a relatively complete training system for interdisciplinary intelligent manufacturing talent, and cultivate a group of intelligent factory construction and operation personnel.

V. Leading-level smart factories

Factories should focus on intelligent transformation to carry out construction, promote the deep integration of next-generation artificial intelligence technology with advanced manufacturing technology and advanced management methods, carry out the mining and cultivation of high-value artificial intelligence application scenarios, break through and apply new manufacturing processes and intelligent manufacturing equipment, develop a batch of industrial agents, explore the establishment of an integrated management system from data and models to industrial agents, build a new-generation intelligent manufacturing system with deep artificial intelligence integration, and based on the "data + knowledge" driven paradigm, reshape and reconstruct innovation paradigms, production methods, management models, etc., explore and form a globally leading future manufacturing model, and safeguard the bottom line of ethical risks, strengthening ethical risk prevention and control guarantees.

(I) Construction content

Enterprises are encouraged to refer to the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)" and carry out smart factory construction around factory construction, R&D and design, production operations, production management, and operations management, and must cover all five links.

1. Factory construction: Promote enterprise-level digital planning and digital twin system construction, carry out precise modeling of all production links and all business processes of the enterprise, and realize high-precision multi-scale simulation analysis and closed-loop optimization of complex systems; break through and integrate the deployment of intelligent manufacturing equipment, industrial large models, industrial agents, etc., and explore a new-generation intelligent manufacturing system featuring autonomous intelligence, flexibility and openness, agility and efficiency, and global collaboration; establish and improve a data governance system, and accumulate and transform it into enterprise data assets.

2. R&D and design: Carry out changes in R&D methods, realize generative design, cross-domain innovation, virtual manufacturing, design self-optimization, etc., and significantly enhance innovation capabilities; carry out efficient collaboration and intelligent optimization across the entire product life cycle, realize proactive demand discovery, user participation in design, agile product iteration, design-manufacturing integration, etc., and drive the extension and upgrading of product value.

3. Production operations: Carry out innovative breakthroughs in equipment and processes, promote the realization of unconventional manufacturing, reconfigurable flexible manufacturing, and autonomous operation manufacturing, and expand the boundaries of manufacturing capabilities; enhance the self-perception, self-decision-making, self-execution, and self-learning capabilities of manufacturing systems, and drive the evolution of production methods toward zero-changeover production, zero-abnormal working conditions, and zero-defect products.

4. Production management: Build production management agents, realize autonomous operation and continuous optimization of plan scheduling, resource dispatching, warehousing and logistics, energy control, etc., move toward zero waste, zero inventory, zero emissions, etc. in the production process, and enhance the ability to optimize resource allocation; carry out innovation in production models, and form new models such as shared manufacturing, agile customization, net-zero manufacturing, and circular manufacturing.

5. Operations management: Build operations management agents, realize decision optimization of key business processes such as financial management, marketing, product services, and supply chain management, and promote changes in enterprise organizational forms; build a highly collaborative smart supply chain, realize rapid allocation of and agile response to upstream and downstream resources in the supply chain, spawn new business models, and build an industrial ecosystem of value co-creation.

(II) Construction results

1. Refer to the "Reference Key Performance Indicators for Smart Factory Construction" (attached table) and GB/T 47695-2026 "Methods for Evaluating the Effectiveness of Enterprise Intelligent Manufacturing" to evaluate the construction results of smart factories. The main technical and economic indicators should be globally leading, and the proportion of scenarios applying artificial intelligence technology should be no less than 60%.

2. Build a globally leading application benchmark, carry out R&D and maturation of advanced technologies, core processes, and key equipment through methods such as "mother factories," and realize efficient, controllable external output and replication and promotion of advanced manufacturing capabilities; promote advanced manufacturing models and solutions to upstream and downstream members of the supply chain, and lead the construction of a collaborative innovation ecosystem for intelligent manufacturing.

3. The cultivated intelligent manufacturing solutions should be exported externally, form a relatively complete enterprise intelligent manufacturing "standards cluster," and promote the formation of industry and national standards.

4. Cultivate leading talent in intelligent manufacturing, and provide external guidance or services for the construction and operation of smart factories. Attached table: Reference Key Performance Indicators for Smart Factory Construction

[1] Factory construction corresponds to the factory construction link in the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)."

[2] R&D and design cover the two links of product R&D and process design in the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)."

[3] Production operations correspond to the production operations link in the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)."

[4] Production management corresponds to the production management link in the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)."

[5] Operations management covers the three links of operations management, product services, and supply chain management in the "Reference Guide for Typical Intelligent Manufacturing Scenarios (2025 Edition)."

22 Number of enterprises that replicate and promote advanced manufacturing models / solutions to upstream and downstream of the industrial chain and supply chain (enterprises)

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