GB/T 47695-2026Evaluation method for enterprise intelligent manufacturing performance and capability (English PDF)

7.1.1 Production Efficiency

7.1.1.1 Indicator Description Production efficiency is a key indicator that measures the effective production output of a unit of manufacturing/object per unit of time. Its specific characteristics include This refers to the output efficiency of qualified products within a certain statistical period. The rate of change in production efficiency reflects the degree to which production efficiency changes over time, and can be used as... It is used for quantitative analysis of increases or decreases in production efficiency.

7.1.1.2 Calculation Method Production efficiency is calculated using formula (1) or formula (2).

7.1.2 Resource Comprehensive Utilization Rate

7.1.2.1 Indicator Description The resources referred to in this document are the raw and auxiliary materials used in the main production process. Resource comprehensive utilization rate refers to the rate at which an enterprise utilizes resources during the production process. The comprehensive utilization efficiency of various main and auxiliary raw materials. Among them, main raw materials refer to those directly used in the production process for the physical product. The main materials include, for example, metal materials (steel, aluminum, copper, etc.), chemical raw materials (plastics, synthetic fibers, rubber, etc.), and natural materials (wood, etc.). Auxiliary raw materials refer to those that do not directly constitute the composition of food products, such as cotton, ores, electronic materials (silicon wafers, rare earth metals), and food ingredients (wheat, soybeans). The physical product, but materials that support, assist, or guarantee the production process, such as process aids (catalysts, welding gases, etc.), equipment... Prepare maintenance materials (lubricating oil, coolant, etc.), cleaning and protective materials (industrial alcohol, PPE, etc.), and packaging materials (pallets, cushioning materials). etc.

7.1.2.2 Calculation Method The comprehensive utilization rate of resources is calculated according to formula (4).

7.1.3 Development Cycle

7.1.3.1 Indicator Description In this document, the product development cycle is calculated for main products that account for one-third or more of the total output value. The product development cycle refers to the period from initial planning to completion of a product development cycle. The process from concept design to mass production and delivery typically includes three stages. product development, product prototyping, and mass production preparation. The development stage refers to the stage of developing and designing the product's structure, performance, and appearance; the product prototyping stage refers to the production of the product's prototype/sample. The performance testing and optimization phase; the mass production preparation phase refers to the process design, equipment development, and resource preparation for mass production/fabrication of the product. The stage. A product development project typically involves developing a basic model and multiple derivative models, and then achieving mass production. The development cycle can be calculated based on the average development cycle of the basic model products developed and mass-produced within the same product development project. (Statistical period not specified.) The basic model can be followed by derivative models. Product development cycle can be measured by the rate of change of the product development cycle, which refers to the rate of change of the product development cycle at each stage of the product development process. The current development cycle, achieved by using intelligent methods or tools such as digital design, simulation, or virtual debugging, is compared to the previous development cycle. Rate of change.

7.1.4 Operating Costs

7.1.4.1 Indicator Description Operating costs refer to the costs and expenses incurred by a company in its daily production and operation, including operating costs, selling expenses, administrative expenses, and financial expenses. Use etc. Unit output value operating cost refers to the operating cost allocated to an enterprise for producing and selling a unit value of products or services. The rate of change of operating cost per unit of output is the percentage change in operating cost per unit of output over time or under certain conditions.

7.1.4.2 Calculation Method Operating costs are calculated using formula (8).

7.1.5 Product Defect Rate

7.1.5.1 Indicator Description Product defect rate refers to the proportion of defective products out of the total number of products produced within a statistical period. The product defect rate change rate is the percentage change in the product defect rate over time or under certain conditions.

7.1.6 CNC Rate of Key Equipment

7.1.6.1 Indicator Description The CNC rate of key equipment refers to the percentage of key equipment using CNC technology in a manufacturing enterprise out of the total number of key equipment. Equipment refers to the equipment that participates in the production process in the key production links of a manufacturing enterprise, and has a direct impact on the process, efficiency, quality, safety, etc.

7.1.7 Adoption rate of advanced process control

7.1.7.1 Indicator Description Advanced process control adoption rate refers to the proportion of devices employing advanced process control algorithms out of the total number of devices using process control systems. In China, advanced process control refers to the application of algorithms such as multivariate collaborative optimization, adaptive control, fuzzy control, model predictive control, and neural network control. Process control technology.

Note. This indicator applies to process industry enterprises.

7.1.8 Proportion of Scenarios Applying Artificial Intelligence Technology

7.1.8.1 Indicator Description The proportion of scenarios in which artificial intelligence technology is applied refers to the percentage of scenarios in which artificial intelligence technology is applied in all aspects of an enterprise, such as R&D, production, and management. The proportion of typical smart manufacturing scenarios. This indicator measures the penetration rate of artificial intelligence technology in typical smart manufacturing scenarios, reflecting the enterprise's... The maturity of advancing artificial intelligence from single-point applications to systematic deployment is a measure of the actual application coverage of artificial intelligence technology in the field of intelligent manufacturing. Key indicators for coverage area.

7.1.9 Number of Intelligent Decision-Making Models Applied in Factories

7.1.9.1 Indicator Description The number of intelligent decision-making models applied in factories refers to the number of independent intelligent decision-making models that enterprises actually deploy and operate in R&D, production, management, and other processes. The total number of models. Among them, intelligent decision-making models utilize technologies such as artificial intelligence, big data analysis, and machine learning to model in a data-driven manner. It aims to simulate or enhance human decision-making capabilities, thereby enabling efficient and accurate optimal or near-optimal decisions in complex scenarios.

7.1.9.2 Calculation Method The number of intelligent decision-making models applied in a factory is calculated according to formula (16).

7.1.10 Sales Growth Rate

7.1.10.1 Indicator Description Sales growth rate is the increase in total sales revenue of a company or product in the current statistical period compared to the total sales revenue in the previous statistical period. The growth rate is an important indicator for measuring the growth of a company's or product's sales revenue.

7.1.11 Equipment overall utilization rate

7.1.11.1 Indicator Description The core indicator of equipment utilization rate is equipment overall efficiency, which is determined by systematically evaluating equipment availability, performance efficiency, and output. The comprehensive performance across three dimensions of product quality is used to monitor, evaluate, and improve the effectiveness of the production process, revealing the relationship between actual production capacity and theoretical maximum. The gap in production capacity. Note

1.The calculation of equipment utilization rate refers to a specific piece of equipment. For the overall utilization rate of a process production line, a single key piece of equipment can be selected for calculation. Note

2.When calculating the rate of change in equipment utilization rate, the calculation method for equipment utilization rate before and after the implementation of intelligent manufacturing must be consistent, and should include the overall utilization rate of all equipment. The comparison of average utilization rates is also a comparison of the product of the overall utilization rates of all equipment.

7.1.11.2 Calculation Method The overall utilization rate of equipment is calculated according to formula (18).

7.1.12 Inventory Turnover Ratio

7.1.12.1 Indicator Description Inventory turnover rate is the number of times inventory turns over within a specific statistical period. It is an indicator reflecting the speed of inventory turnover and is typically measured using... The calculation is based on the company's actual inventory data, without taking into account the impact of customers delaying delivery.

7.1.13 Supplier On-Time Delivery Rate

7.1.13.1 Indicator Description Supplier on-time delivery rate refers to the percentage of orders delivered on time by suppliers within a statistical period. It is used to evaluate supply chain management efficiency and supply. Business performance.

7.1.14 On-time delivery rate

7.1.14.1 Indicator Description On-time delivery rate refers to the ratio of the number of orders delivered on time according to the customer's requested date and time to the total number of orders. Delivery rate is a key indicator for measuring supply chain reliability.

7.1.15 Overall Labor Productivity

7.1.15.1 Indicator Description Overall labor productivity refers to the ratio of the labor output created by all employees of an enterprise within a certain period to the corresponding amount of labor consumption. The ratio measures the efficiency of labor input-output.

7.1.16 Comprehensive energy consumption per unit of output value

7.1.16.1 Indicator Description Comprehensive energy consumption per unit of output is the ratio of comprehensive energy consumption to output value within a statistical period. Comprehensive energy consumption refers to the energy consumption per unit of output value produced within a statistical period. The actual energy consumed (such as electricity, coal, natural gas, fuel oil, etc.) and energy-consuming working fluids (such as fresh water, softened water, oxygen, carbon dioxide, etc.). The sum after conversion to standard coal equivalent. For situations where multiple products are produced simultaneously, the energy consumption should be calculated separately for each product based on its actual energy consumption. In the absence of... When measuring and calculating each product separately, it can be converted into a standard product for unified calculation, or it can be allocated and calculated according to the ratio of output to energy consumption.

7.1.16.2 Calculation Method The comprehensive energy consumption per unit of output is calculated according to formula (28).

7.1.17 Carbon dioxide emissions per unit of output

7.1.17.1 Indicator Description Carbon dioxide emissions per unit of output value refers to the total carbon dioxide (CO2) emissions corresponding to each unit of economic output value (such as 10,000 yuan or 100 million yuan). This reflects the efficiency of the correlation between economic output and carbon emissions.

7.1.18 Comprehensive utilization rate of general solid waste

7.1.18.1 Indicator Description The general solid waste comprehensive utilization rate is the ratio of the amount of general industrial solid waste comprehensively utilized to the amount of industrial solid waste generated (including comprehensive utilization in previous years). The percentage of (storage quantity).

7.1.19 Water resource reuse rate

7.1.19.1 Indicator Description Water reuse rate refers to the ratio of a company's reused water consumption to its total water consumption. Reused water consumption refers to the amount of water reused within a specific water-using unit or... Within the system, the total volume of all untreated and treated water that is reused includes circulating water, series water, and recycled water, excluding reused water. This includes hot water circulating within urban heating networks in northern regions and demineralized water circulating in thermal power generation equipment.

7.1.19.2 Calculation Method The water resource reuse rate is calculated according to formula (33).

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

7.1.20.1 Indicator Description The number of companies that successfully replicate and promote advanced manufacturing models/solutions to upstream and downstream of the industrial chain and supply chain refers to the number of companies that have successfully replicated or applied their own research and development or applications. The total number of enterprises that have promoted integrated advanced manufacturing models/solutions to upstream and downstream companies and implemented them. This indicator measures the manufacturing industry. Key indicators of digital transformation effectiveness reflect the spread of an enterprise's advanced manufacturing model/solution from the original user to upstream and downstream companies in the industry chain. The breadth of coverage (of suppliers, customers, partners, etc.).

7.2.2 Collaborative Response Efficiency

7.2.2.1 Indicator Description Collaborative response efficiency refers to the efficiency achieved by analyzing task logs and response records within a project management platform, reflecting the efficiency of responses between the design and manufacturing departments to interactive tasks. (Such as process feasibility review, design change, production anomaly tracing, collaborative confirmation of process parameters, etc.) From the initiator submitting the request to the responder completing the task. Average task duration. Higher collaborative response efficiency indicates a smoother design and manufacturing collaboration process and more timely information transmission, which can reduce delays caused by response issues. Delays can lead to production rework, material backlogs, or order delays, thus improving the overall operational efficiency of the supply chain.

7.2.3 Design Change Rate

7.2.3.1 Indicator Description Design change rate refers to the rate within the statistical period based on the design baseline (the design baseline is the formal review of completed design deliverables during the R&D process). The final version after approval. The design deliverables (including EBOM, drawings, and other design data used for manufacturing) are finalized, and then proceed with design, prototyping, and... During mass production and other stages, the ratio of the number of design changes that caused negative impacts to the total number within the statistical period can also be used as a statistical period. The design change rate is the percentage of material types negatively impacted by design changes during the period, relative to the total number of product material types. Key indicators of design stability during product development should aim to minimize disruptions to production planning and execution, as well as supply chain and inventory issues caused by design changes. The negative impacts include chain losses, increased quality and compliance risks, etc.

7.2.5 Digitalization rate of process rules

7.2.5.1 Indicator Description The digitalization rate of process rules refers to the percentage of process rules that have been transformed into digital and structured forms (which can be identified and adjusted by information systems) in integrated design and manufacturing enterprises. The process rules (such as processing constraints, assembly sequence rules, quality inspection rules, equipment compatibility rules, etc.) used and implemented account for a significant portion of the company's total process rules. The proportion of rules. Furthermore, digital process rules need to be directly callable by systems such as CAPP and MES; non-digital process rules refer to paper-based rules. Rules for recording documents and unstructured electronic documents (such as plain text and images). The higher the digitization rate of process rules, the more standardized the process knowledge becomes. The higher the level of specialization, structuring, and reusability, the better.

7.2.6 Product changeover time

7.2.6.1 Indicator Description Product changeover time refers to the time from the completion of the last piece of the current product's production line to the completion of the first qualified piece of the product to be switched to. The total time required for the entire process. Product changeover time mainly includes tooling conversion, program switching, process parameter adjustment, material preparation, and quality inspection. This includes preparation and testing. Product changeover time is also a key metric in on-demand flexible manufacturing systems for measuring the ability to quickly adapt to the manufacturing needs of different products.

7.2.6.2 Calculation Method Product changeover time is calculated using formula (40).

7.2.7 Flexible Manufacturing System Reconfiguration Time

7.2.7.1 Indicator Description Flexible manufacturing system reconfiguration time refers to the time required for a flexible manufacturing system to automatically reconfigure itself to accommodate the production of multiple types/specifications. The required time generally includes process reconfiguration time, production equipment reconfiguration time, and material allocation reconfiguration time. Process reconfiguration time refers to... The time required to adjust the specific production processes and parameters for different products; production equipment reconfiguration time refers to the time required for production equipment to be reconfigured. The time required to adjust to the structure of different products; material allocation reconfiguration time refers to the time required to adapt to the material requirements of different products. The time required for material distribution.

7.2.8 Degree of Continuous Production

7.2.8.1 Indicator Description The degree of production continuity refers to the total operating time consumed by the material flow in each process and device during the production of a certain product. And the proportion of the total process time. The higher the degree of continuity, the more beneficial it is to reduce energy consumption caused by waiting and the negative impact on product quality. Impact. Improvements in continuity should be achieved by reducing non-processing waiting times, not by extending the residence time of materials within processes or equipment.

7.2.9 Material completeness rate

7.2.9.1 Indicator Description Material availability rate refers to the proportion of complete and timely availability of all required materials when finished or semi-finished products begin production in the workshop. It is a measure of... Key indicators of a company's material management level and production support capabilities.

7.2.10 Outsourcing Efficiency

7.2.10.1 Indicator Description Outsourcing refers to the practice where manufacturing companies, due to limitations in their own equipment, technology, production capacity, or manufacturing costs, outsource production to ensure timely completion of production tasks. Alternatively, to reduce costs, a manufacturing or processing task can be outsourced entirely or partially to an external supplier, who will then perform the work according to the drawings and quality requirements, as agreed upon by both parties. Outsourcing is a production organization method for completing the processing of parts or semi-finished products. The fundamental purpose of enterprises introducing outsourcing is to fully utilize the supply chain. Utilizing both internal and external resources within the supply chain increases supply flexibility, reduces equipment and manpower investment, and improves the company's own management efficiency. Outsourcing efficiency should be improved from the perspective of delivery... The evaluation is based on both performance and quality indicators.

7.2.11 Delivery Cycle

7.2.11.1 Indicator Description The supply cycle refers to the entire time from placing an order with the supplier to the delivery, acceptance, and warehousing of the goods. It is usually calculated in days and is subject to supply... The impact of various factors, including supplier production and inventory preparation methods, transportation and delivery times, and product quality, on enterprises. Enterprises can leverage supply chain digitalization... Similarly, by breaking down information barriers, we can quantitatively analyze the "bottleneck" links in the supply cycle, continuously optimize and reduce "waiting and redundancy" in the chain.

7.2.12 Production scheduling response time

7.2.12.1 Indicator Description Production scheduling response time is for the same type of product, based on orders, from the time the demand information is issued to the time of production, covering all key processes. The time (usually measured in days or hours) required for a production schedule that can be executed directly. The shorter the average production schedule response time, the higher the plan's executability. A higher score indicates that the enterprise's automated scheduling system has a stronger ability to identify, model, and optimize production factors, and thus a higher level of intelligence. Note

1.The system should comprehensively consider production scheduling response time and plan feasibility, and generate a production scheduling plan within a reasonable time, including but not limited to the first scheduling based on the system. Production time, and the time required for manual scheduling adjustments and rolling production due to unidentified factors, model limitations, and incomplete scope coverage, are included. And the rescheduling time caused by abnormal situations such as emergency order insertion, equipment failure, and material delivery delays. Note

2.Production scheduling response time and production scheduling plan feasibility rate are used together and are statistically analyzed through information systems and log records.