Practical Experience Sharing: Excellence-Level Smart Factory Cultivation and Application Plan

 In order to accelerate the digital transformation and intelligent upgrading of the manufacturing industry and create an “upgraded version” of intelligent manufacturing, six departments including 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 have deployed a gradient cultivation action for smart factories.

  According to the “Elements and Conditions for Gradient Cultivation of Smart Factories (2025 Edition)” (hereinafter referred to as the “Elements and Conditions”), smart factories will be cultivated at four levels: basic, advanced, excellent and leading.

       Basic-level smart factories focus on digital transformation and network connection construction to promote the popularization of digitalization.

      Advanced smart factories, based on their self-assessment as basic smart factories, will focus on digital transformation and networked collaboration to establish themselves as leading regional and industry-leading development benchmarks. Both basic and advanced smart factories must meet the requirements of the “Elements and Conditions.”

      In accordance with the requirements of the “Elements and Conditions”, the construction of excellence-level smart factories focuses on digital transformation, networked collaboration and intelligent upgrading to create a national leading development benchmark.

      In accordance with the requirements of the “Elements and Conditions”, the pilot-level smart factory focuses on digital transformation, networked collaboration and intelligent transformation to carry out construction, explore future manufacturing models, and create a global leading development benchmark.

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1. Corporate Profile

Basic conditions

1. Enterprise qualifications

Registered in China, with independent legal personality and good financial status.

It has been rated as an advanced smart factory.

There have been no major safety, environmental protection, or quality accidents in the past three years, and the credit record is good.

2. Factory construction

The intelligent transformation has been completed and has been in stable operation for ≥1 year, and the investment amount meets local requirements (such as some provinces require ≥100 million yuan).

Carry out smart factory construction around five aspects : factory construction, R&D design, production operations, production management, and operation management

The proportion of scenarios applying artificial intelligence technology shall not be less than 20% .

The factory must pass the National Intelligent Manufacturing Capability Maturity Assessment (Level 3 and above, i.e. integration level or above) .

Technical capability requirements

1. Digital infrastructure

Networking : Full coverage of the industrial Internet, and application of new technologies such as 5G and TSN.

Data platform : Establish an enterprise-level industrial big data platform to achieve unified data governance and analysis.

Information Security : Passed ISO 27001 or Information Security Protection Level 2.0 certification.

2. Intelligent equipment and production lines

The CNC rate of key equipment is ≥90%, and the automation rate is ≥80%.

The production line has flexible capabilities (supporting multi-variety, small-batch customized production).

Apply robots, AGV, intelligent detection equipment, etc. to achieve less-manpowered/unmanned operation.

3. System Integration (IT/OT Convergence )

Horizontal integration : ERP, MES, PLM, SCM and other systems are fully integrated.

Vertical integration : Real-time data interaction between the equipment layer (PLC/DCS) – control layer – management layer.

End-to-end integration : covering the entire value chain from R&D design, production, logistics, and services.

4. Application of

AI and big data : used for predictive maintenance, process optimization, quality defect detection, etc.

Digital Twin : Establish a factory-level virtual simulation model to achieve virtual-reality linkage.

Green and low-carbon : By applying the energy management system (EMS), energy consumption per unit of output value is lower than the industry average.

Management capability requirements

1. Organizational structure

Establish a dedicated smart manufacturing department and equip it with digital talents (such as Chief Information Officer ( CIO)).

2. Standard system

Formulate enterprise standards for intelligent manufacturing and participate in the formulation of national/industry standards (bonus points).

3. Innovation Mechanism

Annual R&D investment ≥ 3% of operating income, and possession of patents or software related to intelligent manufacturing.

IV Performance indicators

1. Economic benefits

Production efficiency increased by ≥20%, operating costs decreased by ≥15%, and product defect rate decreased by ≥30%.

2. Social benefits

Form replicable industry solutions and drive coordinated upgrades of upstream and downstream industrial chains.

3. Demonstration

Be rated as a provincial-level smart factory /benchmark factory, or be selected as a national-level pilot demonstration project (such as the Ministry of Industry and Information Technology’s smart manufacturing demonstration factory).

II . Application Process

III . Application Plan Steps and Strategies

1. Download the application template

To apply for specific templates and filling requirements, you need to log in to the Intelligent Manufacturing Data Resources Public Service Platform ( https://www.miit-imps.com ) to view , preview and download blank templates .

2. Breakdown of the list of supporting materials

   According to the specific application template and filling requirements, a complete list of required materials is broken down and prepared in various departments of the organization.

3. Preparation and layout of core third-party materials

   Excellence-level smart factories need to undergo a third-party smart manufacturing capability maturity assessment of level 3 or above.

 The recommended level for enterprise self-assessment is four.

4. Preparation of application materials

( 1 ) Before July 1 , prepare the attachment materials according to the breakdown materials list ;

( 2 ) Before July 10 , the application materials must be completed. If there is a supplier of intelligent transformation, the integrator’s solution can be provided as a reference .

Application Materials for Excellence-Level Smart Factory Project ( Official Website Notice )

Serial numberRequired MaterialsSpecific content
1Basic information of the applicantIncluding company name, address, nature, industry, contact information, etc.
2Basic Information about Smart FactoriesIncluding information such as the start and end time of smart factory construction, total investment, integrator, project introduction, construction results, authenticity commitment, etc.
3Smart factory scenario construction statusIncluding information such as the overall project situation, key link construction situation, specific scenario construction situation, system integration situation, etc.
4Achievements in smart factory constructionIncluding information such as the project’s advancement and characteristics, implementation results, and subsequent implementation plans

( 3 ) Before July 15 , finalize the application materials and submit them online or offline.

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