Construction method of enterprise quality management standardization system

Abstract

The invention discloses a construction method of an enterprise quality management standardization system, and relates to the technical field of electric digital data processing. Firstly, historical process data of each quality management process is monitored and obtained, the root of a quality problem can be identified and tracked, data support is provided for improvement of the quality management process, accumulated production data is called, corresponding process management configuration is executed, production dynamics and internal quality management can be closely linked, and the quality management efficiency is improved. The method is advantaged in that improvement of adaptability and competitiveness of products is facilitated, then production data of each quality management process is acquired and processed, real-time production process monitoring, timely discovery and solving of problems in production and production process optimization of enterprises are facilitated, and finally a quality comprehensive evaluation result of each quality management process is acquired through comprehensive analysis. And then standardized management configuration is performed on each quality management process, so that the efficiency of an enterprise quality management system can be improved, human errors are reduced, and the standardization and reliability of enterprise quality management are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a method for constructing an enterprise quality management standardization system. Background Art

[0002] In the field of standardization management technology, data analysis technology can be used to analyze the performance and efficiency of the enterprise's quality management process. Since the quality management process is easily affected by factors such as personnel operation and equipment status, it will lead to inaccurate quality inspection results, affecting the stability of production quality, which may lead to reduced production efficiency, thereby damaging the economic benefits of the enterprise. It may also lead to misjudgment or neglect of quality problems, affecting the continuous improvement of quality management.

[0003] Prior art, such as the invention patent announcement with announcement number: CN115495051B, discloses a standardized business process management system and method for pan-IT services. The business process management system includes a receiving unit, a processing unit and a scheduling unit; the receiving unit is used to obtain service content submitted by a user; wherein the service content carries a corresponding service identifier; the processing unit is used to query a pre-mapped business process according to the service identifier; wherein the business process includes multiple process nodes; the scheduling unit is used to obtain the business process and call the corresponding business process engine according to the business process to drive the flow of services.

[0004] Prior art, such as the invention patent announcement with announcement number: CN111651431B, discloses a management process standardization method for database services, including steps S100, resource management: initiating resource application according to actual demand, reviewing the rationality of demand in combination with the remaining resource situation and performing resource allocation; S200, database online management: submitting online application, reviewing and verifying the database structure, and completing online operation after review; S300, database change management: after completing the test of the iterative version, if there is a DDL requirement, submitting a library table change application, and performing DDL operation after review. The present invention manages the process of database services in the form of work orders on the usual form of database services to promote data standardization.

[0005] Combined with the above solutions, it is found that currently in the field of standardization management technology, only service and resource management are usually monitored and analyzed. However, for large-scale production enterprises, standardization management is easily affected by factors such as personnel operation and equipment status. Only analyzing service and resource management cannot fully evaluate the overall performance of the quality management process, which not only affects the company's response speed to quality issues, but may also lead to the loss of control of the quality management process, affect the company's market competitiveness, and ultimately may lead to negative problems such as loss of corporate customers. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method for constructing an enterprise quality management standardization system, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for constructing an enterprise quality management standardization system, including counting a number of process segmentation nodes based on the enterprise quality management standardization process, and recording the quality management standardization process between two adjacent process segmentation nodes as each quality management process.

[0008] Monitor and obtain historical process data of each quality management process, synchronously retrieve accumulated production data, analyze and obtain the quality inspection and judgment benchmark values ​​of each quality management process, and execute corresponding process management configuration.

[0009] The production data of each quality management process is collected and processed to obtain the quality efficiency index value of each quality management process.

[0010] According to the quality efficiency index value of each quality management process, combined with the quality inspection and judgment benchmark value of each quality management process, a comprehensive analysis is conducted to obtain the comprehensive quality evaluation results of each quality management process, and the enterprise quality management standardization monitoring frequency of each quality management process is established. Then, each quality management process is configured for standardized management, and the process configuration data set is statistically constructed to output and display the quality management standardization system.

[0011] Furthermore, the historical process data of each quality management process includes the historical production qualification rate, historical equipment failure rate, historical rework rate and historical average production speed of each quality management process.

[0012] The cumulative production data includes the cumulative total production and the average daily production growth rate.

[0013] Furthermore, the analysis obtains the quality inspection judgment benchmark value of each quality management process. The specific analysis process is: based on the historical process data of each quality management process, the quality inspection evaluation value of each quality management process is obtained through processing.

[0014] Based on the accumulated production data, a comprehensive analysis is conducted to obtain the production efficiency evaluation value.

[0015] A comprehensive analysis is conducted on the accumulated production data to obtain the production efficiency evaluation value, which is then matched with the quality inspection and evaluation interference factors of each quality management process corresponding to each production efficiency evaluation value interval stored in the enterprise quality management database. The quality inspection and evaluation interference factors of each quality management process corresponding to the interval in which the production efficiency evaluation value lies are statistically calculated and recorded as the quality inspection and evaluation influencing factors of each quality management process.

[0016] Based on a comprehensive analysis of the quality inspection evaluation values ​​of each quality management process and the quality inspection evaluation influencing factors of each quality management process, the quality inspection judgment benchmark values ​​of each quality management process are obtained.

[0017] Furthermore, the specific process of executing the corresponding process management configuration is: comparing the quality inspection judgment benchmark value of each quality management process with the set quality inspection judgment benchmark threshold to obtain the quality inspection judgment result of each quality management process.

[0018] The quality inspection and judgment results of each quality management process include a quality inspection judgment of passing and a quality inspection judgment of failing.

[0019] If the quality inspection and judgment benchmark value of a quality management process is higher than or equal to the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process shall be marked as qualified quality inspection; if the quality inspection and judgment benchmark value of a quality management process is lower than the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process shall be marked as unqualified quality inspection.

[0020] The quality inspection results of each quality management process are extracted. If the quality inspection result of a quality management process is that the quality inspection is qualified, the process management configuration of the quality management process will continue to be performed at the current sampling frequency.

[0021] If the quality inspection result of a quality management process is that the quality inspection is unqualified, the quality management process will be recorded as an abnormal process, and the difference between the set quality inspection judgment benchmark threshold and the quality inspection judgment benchmark value of each abnormal process will be extracted and recorded as the frequency adjustment control value of each abnormal process. It will be matched with the sampling frequency corresponding to each frequency adjustment control value interval stored in the enterprise quality management database, and the sampling frequency corresponding to the interval of the frequency adjustment control value of each abnormal process will be counted and recorded as the sampling frequency of each abnormal process. Process management configuration will be performed for each abnormal process with the corresponding sampling frequency.

[0022] Furthermore, the quality efficiency index value of each quality management process is obtained, and the specific process is: the production data of each quality management process includes the production volume, equipment utilization rate, average production speed, production qualification rate and product defect rate of each quality management process within a preset period.

[0023] Based on the production data of each quality management process, the quality efficiency index value of each quality management process is obtained.

[0024] Furthermore, the comprehensive analysis obtains the comprehensive quality evaluation results of each quality management process. The specific process is: comprehensively analyze the quality efficiency index values ​​of each quality management process and the quality inspection judgment benchmark values ​​of each quality management process to obtain the comprehensive quality evaluation values ​​of each quality management process; and according to the comprehensive quality evaluation values ​​of each quality management process, process to obtain the comprehensive quality evaluation results of each quality management process.

[0025] Furthermore, the comprehensive quality evaluation results of each quality management process are obtained by comparing the comprehensive quality evaluation value of each quality management process with a set comprehensive quality evaluation threshold to obtain the comprehensive quality evaluation results of each quality management process.

[0026] The comprehensive quality evaluation results of each quality management process include qualified quality and unqualified quality.

[0027] If the comprehensive quality evaluation value of a quality management process is higher than or equal to the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as qualified; if the comprehensive quality evaluation value of a quality management process is lower than the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as unqualified.

[0028] Furthermore, the specific process of constructing the standardized monitoring frequency of enterprise quality management for each quality management process is as follows: extracting the comprehensive quality evaluation results of each quality management process, and if the comprehensive quality evaluation result of a quality management process is qualified, then continuing to perform standardized management configuration on the sensor device configuration of the quality management process with the current standardized monitoring frequency of enterprise quality management.

[0029] If the comprehensive quality evaluation result of a quality management process is unqualified, the difference between the set comprehensive quality evaluation threshold and the comprehensive quality evaluation value of the quality management process is extracted and recorded as the sensor device configuration adjustment control value of each quality management process. According to the sensor device configuration adjustment control value of each quality management process, the standardized monitoring frequency of enterprise quality management of each quality management process is constructed.

[0030] Furthermore, the standardized management configuration of each quality management process is specifically performed in the following process: constructing an enterprise quality management standardized monitoring frequency for each quality management process according to the sensor device configuration adjustment control value of each quality management process; the specific process is matching the sensor device configuration adjustment control value of each quality management process with the enterprise quality management standardized monitoring frequency corresponding to each sensor device configuration adjustment control value interval stored in the enterprise quality management database, and counting the enterprise quality management standardized monitoring frequency corresponding to the interval in which the sensor device configuration adjustment control value of each quality management process is located, which is recorded as the enterprise quality management standardized monitoring frequency for each quality management process.

[0031] Standardized management configuration of sensor device configuration for each quality management process is performed according to the standardized monitoring frequency of enterprise quality management for each quality management process.

[0032] Furthermore, the quality efficiency index values ​​of each quality management process are specifically analyzed under the following conditions: ; In the formula, represents the quality efficiency index value of the i-th quality management process, represents the production volume of the i-th quality management process, represents the reference production volume of the set i-th quality management process, Indicates the weight factor corresponding to the set production volume, represents the equipment utilization rate of the i-th quality management process, represents the reference equipment utilization rate of the set i-th quality management process, Indicates the weight factor corresponding to the set equipment utilization rate, represents the average production speed of the i-th quality management process, represents the reference production speed of the set i-th quality management process, Indicates the weight factor corresponding to the set production speed, represents the production qualification rate of the i-th quality management process, Indicates the weight factor corresponding to the set production qualification rate, represents the product defect rate of the i-th quality management process, It represents the weight factor corresponding to the set product defect rate, i represents the number of each quality management process, , n represents the total number of quality management processes.

[0033] The present invention has the following beneficial effects: (1) The present invention provides a method for constructing an enterprise quality management standardization system. First, the historical process data of each quality management process is analyzed, and the accumulated production data is simultaneously retrieved for analysis, which can provide a data basis for production adjustment. Then, the production data is analyzed to help timely discover abnormalities in the production process. Finally, the comprehensive quality evaluation results of each quality management process are analyzed to adjust the quality management strategy and improve the overall quality management level of the enterprise.

[0034] (2) The present invention obtains the quality inspection and judgment benchmark values ​​of each quality management process through analysis, and determines the sampling frequency according to the quality inspection and judgment benchmark values. This can not only ensure that the enterprise strictly implements the quality standards in the production process, improve the consistency and accuracy of quality management, reduce human judgment errors, and improve the stability of product quality, but also help to timely discover potential product quality problems, thereby improving the quality management level, improving resource utilization, and laying a management foundation for the long-term sustainable development of the enterprise.

[0035] (3) The present invention obtains the quality efficiency index value of each quality management process through analysis, which helps enterprises to accurately grasp the quality performance of each quality management process, provide data support for management adjustment, optimize the allocation of quality management resources, and improve production efficiency. At the same time, through continuous monitoring of the quality efficiency index value, potential problems can be discovered in a timely manner, ensuring the efficiency and smoothness of production activities and improving the overall operation level of quality management.

[0036] (4) The present invention obtains the comprehensive quality evaluation results of each quality management process through analysis, and then performs standardized management configuration for each quality management process, which can realize the systematization and scientificization of quality management, improve the efficiency of quality management, ensure that each quality management process can be operated in accordance with the standard, reduce quality deviations, improve the reliability and consistency of production quality, optimize the allocation of production resources, improve production efficiency, and enhance the quality management level of the enterprise.

[0037] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the method flow of the present invention; Figure 2 This is an example diagram of how the comprehensive quality evaluation value of each quality management process changes with the quality efficiency index value. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1As shown, an embodiment of the present invention provides a technical solution: a method for constructing an enterprise quality management standardization system, including counting a number of process segmentation nodes based on the enterprise quality management standardization process, and recording the quality management standardization process between two adjacent process segmentation nodes as each quality management process.

[0041] It should be noted that the enterprise quality management standardized process refers to a set of standardized and systematic management procedures and operating steps established by the enterprise in the production and service process to ensure product quality. For example, in another embodiment, the enterprise quality management standardized process involved includes raw material quality control process, welding quality management process, pre-painting quality management process and vehicle assembly quality management process. The process segmentation node is usually a specific operation or adjustment point in the process. These process segmentation nodes mark the end of one stage in the process and the beginning of another stage. For example, in the automobile manufacturing industry, the process segmentation node can be concretized as a raw material warehousing inspection node; located after the raw material procurement process, to ensure that all raw materials entering the production line meet the quality standards; welding process inspection node, located in the body welding process, to ensure that the welding quality meets the design requirements; pre-painting treatment node, located before the body painting process, to ensure that the body surface treatment meets the painting standards; final assembly completion inspection node, located after the vehicle assembly process, to conduct a final inspection of the vehicle performance and safety.

[0042] Monitor and obtain historical process data of each quality management process, synchronously retrieve accumulated production data, analyze and obtain the quality inspection and judgment benchmark values ​​of each quality management process, and execute corresponding process management configuration.

[0043] The production data of each quality management process is collected and processed to obtain the quality efficiency index value of each quality management process.

[0044] According to the quality efficiency index value of each quality management process, combined with the quality inspection and judgment benchmark value of each quality management process, a comprehensive analysis is conducted to obtain the comprehensive quality evaluation results of each quality management process, and the enterprise quality management standardization monitoring frequency of each quality management process is established. Then, each quality management process is configured for standardized management, and the process configuration data set is statistically constructed to output and display the quality management standardization system.

[0045] It needs to be explained that the process configuration data set includes the sampling frequency and the enterprise quality management standardization monitoring frequency. The sampling frequency is compared with the set sampling frequency threshold to obtain the first judgment result of the process configuration. If the sampling frequency is higher than or equal to the set sampling frequency threshold, the first judgment result of the process configuration is marked as abnormal sampling frequency. Otherwise, the first judgment result of the process configuration is marked as normal sampling frequency. The enterprise quality management standardization monitoring frequency is compared with the set enterprise quality management standardization monitoring frequency threshold to obtain the second judgment result of the process configuration. If the enterprise quality management standardization monitoring frequency is higher than or equal to the set enterprise quality management standardization monitoring frequency threshold, the first judgment result of the process configuration is marked as abnormal monitoring frequency. Otherwise, the first judgment result of the process configuration is marked as normal monitoring frequency.

[0046] It should be added that the construction of a quality management standardization system is carried out in the following specific process: if the first judgment result of the process configuration is that the sampling frequency is normal, the production quality evaluation standards and quality management system support technologies are maintained and updated to ensure that the evaluation standards are consistent with the current production reality and product quality requirements. The quality management system support technologies include quality planning management, production process document management, production status management and production quality management. If the first judgment result of the process configuration is that the sampling frequency is abnormal, the application of the production quality management system is traced. The application of the production quality management system includes the production system implementation guide, operator behavior abnormality analysis and quality control process analysis. If the second judgment result of the process configuration is that the monitoring frequency is normal, the quality evaluation and quality innovation are maintained and practiced. Quality evaluation includes evaluation indicators and evaluation methods. Quality innovation includes innovative applications in different fields and innovative applications in different elements. If the second judgment result of the process configuration is that the monitoring frequency is abnormal, the quality management model, quality analysis tools and quality management methods are reviewed and adjusted. The quality management model includes performance evaluation criteria, quality analysis tools include statistical techniques, non-statistical techniques and quality information analysis, and quality management methods include supplier management, on-site management and reliability management.

[0047] Specifically, the historical process data of each quality management process includes the historical production qualification rate, historical equipment failure rate, historical rework rate and historical average production speed of each quality management process.

[0048] It should be added that the historical production qualification rate of each quality management process refers to the ratio of products or parts that meet the quality standards in the first production without any rework or repair during the production process. The historical production data is extracted from the production records and the historical production qualification rate is obtained by statistics. The historical equipment failure rate of each quality management process refers to the frequency of equipment failure, which can be obtained through the equipment maintenance system or fault log records. The historical rework rate of each quality management process refers to the proportion of rework due to unqualified product quality. The historical production data is extracted from the production records and the number of reworks and the total production number are obtained by statistics. The ratio of the number of reworks to the total production number is used as the rework rate. The historical average production speed of each quality management process refers to the production quantity per unit time. The total number of products produced in history and the total production time of history are obtained through the output records of the production system or production line. The ratio of the total number of products produced in history to the total production time is used as the historical average production speed.

[0049] The cumulative production data includes the cumulative total production and the average daily production growth rate.

[0050] It should be added that the cumulative total production volume refers to the cumulative number of products completed in all production processes within a certain time period (one quarter in this embodiment), from the start of production to the current moment. The production quantity within a certain time period can be recorded by the data acquisition system of the production line and recorded as the cumulative total production volume. The average daily growth rate of production can be obtained through the data acquisition system of the production line.

[0051] Specifically, the quality inspection judgment benchmark value of each quality management process is analyzed, and the specific analysis process is: based on the historical process data of each quality management process, the quality inspection evaluation value of each quality management process is processed.

[0052] Based on the accumulated production data, a comprehensive analysis is conducted to obtain the production efficiency evaluation value.

[0053] A comprehensive analysis is conducted on the accumulated production data to obtain the production efficiency evaluation value, which is then matched with the quality inspection and evaluation interference factors of each quality management process corresponding to each production efficiency evaluation value interval stored in the enterprise quality management database. The quality inspection and evaluation interference factors of each quality management process corresponding to the interval in which the production efficiency evaluation value lies are statistically calculated and recorded as the quality inspection and evaluation influencing factors of each quality management process.

[0054] Based on a comprehensive analysis of the quality inspection evaluation values ​​of each quality management process and the quality inspection evaluation influencing factors of each quality management process, the quality inspection judgment benchmark values ​​of each quality management process are obtained.

[0055] In this embodiment, the quality inspection evaluation value of each quality management process represents the numerical quantification result of the quality management process performance and efficiency obtained by analyzing the historical process data of each quality management process, and is used to comprehensively quantify the influence of the historical process data of each quality management process on product quality, production cost and production stability. The production efficiency evaluation value represents the numerical quantification result of the production capacity obtained by analyzing the cumulative production data, and is used to comprehensively quantify the influence of the cumulative production data on the enterprise quality management. The quality inspection judgment benchmark value of each quality management process represents the numerical quantification result of the quality inspection standard obtained by analyzing the quality inspection evaluation value and the quality inspection evaluation influencing factor of each quality management process, and is used to comprehensively quantify the influence of the quality inspection evaluation value and the quality inspection evaluation influencing factor of each quality management process on the accuracy of the quality inspection result.

[0056] In this embodiment, the quality inspection and determination benchmark value of each quality management process can be obtained by the following analysis method, and the specific analysis conditions are as follows: ; In the formula, represents the quality inspection judgment benchmark value of the i-th quality management process, represents the quality inspection evaluation impact factor of the i-th quality management process, represents the quality inspection evaluation value of the i-th quality management process, represents the historical production qualification rate of the i-th quality management process, Indicates the correction factor corresponding to the set production qualification rate, represents the historical equipment failure rate of the i-th quality management process, Indicates the correction factor corresponding to the set equipment failure rate, represents the historical rework rate of the i-th quality management process, Indicates the correction factor corresponding to the set rework rate, represents the historical average production speed of the i-th quality management process, represents the reference production speed of the set i-th quality management process, Indicates the correction factor corresponding to the set production speed, represents the production efficiency evaluation value, Indicates the total cumulative production volume, Indicates the correction factor corresponding to the set cumulative total production volume, represents the average daily growth rate of production, It represents the correction factor corresponding to the set average daily growth rate of production, i represents the number of each quality management process, , n represents the total number of quality management processes.

[0057] In a specific embodiment, Table 1 shows different cumulative total production volumes and average daily production growth rates and corresponding production efficiency evaluation values. In this embodiment, the correction factor corresponding to the cumulative total production volume is 0.5, and the correction factor corresponding to the average daily production growth rate is 0.5.

[0058] Table 1 Different cumulative production totals and daily average growth rates of production and corresponding production efficiency evaluation values Cumulative production volume Average daily growth rate of production (%) Production efficiency evaluation value 100 30 1.3305 120 30 1.3402 120 50 1.3451 It should be explained that in Table 1, as the cumulative total production volume and the average daily production growth rate increase, the production efficiency evaluation value increases accordingly. Table 1 lists three different cumulative total production volumes and average daily production growth rates and the corresponding production efficiency evaluation values, and provides the degree of influence of different cumulative total production volumes and average daily production growth rates on the production efficiency evaluation value. The production efficiency evaluation value comprehensively considers the cumulative total production volume and the average daily production growth rate, providing data support for the analysis of the production efficiency evaluation value.

[0059] It should be noted that a high historical production qualification rate indicates that the proportion of defective products in the production process is low, the quality management process usually performs better, and the quality inspection evaluation value is also larger. A high historical equipment failure rate indicates that the instability of the equipment may lead to quality fluctuations in the production process and may even cause more quality problems. The quality inspection evaluation value is also smaller. A higher historical rework rate indicates that there are more quality problems in the production process and the quality inspection evaluation value is also smaller.

[0060] It should be added that, in the present embodiment, the correction factors corresponding to the preset production qualification rate, the equipment failure rate, the rework rate, the production speed, the cumulative total production volume and the average daily production growth rate are obtained from the enterprise quality management database.

[0061] It should be explained that the correction factors corresponding to the production qualification rate, equipment failure rate, rework rate and production speed respectively represent the numerical values ​​of the influence of the historical production qualification rate, historical equipment failure rate, historical rework rate and historical average production speed of each quality management process on the quality inspection evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the real-time historical production qualification rate of each quality management process is input into the enterprise quality management database to obtain the mapping set of the historical production qualification rate of each quality management process and the correction factors corresponding to the production qualification rate, and the correction factors corresponding to the historical production qualification rate of each quality management process are obtained. The real-time historical equipment failure rate of each quality management process is input into the enterprise quality management database to obtain The historical equipment failure rate of each quality management process and the correction factor corresponding to the equipment failure rate are mapped together to obtain the correction factor corresponding to the historical equipment failure rate of each quality management process; the real-time historical rework rate of each quality management process is input into the mapping set of the historical rework rate of each quality management process and the correction factor corresponding to the rework rate, to obtain the correction factor corresponding to the historical rework rate of each quality management process; the real-time historical average production speed of each quality management process is input into the mapping set of the historical average production speed of each quality management process obtained in the enterprise quality management database and the correction factor corresponding to the production speed, to obtain the correction factor corresponding to the historical average production speed of each quality management process.

[0062] It should be explained that the correction factors corresponding to the cumulative total production volume and the average daily production growth rate respectively represent the numerical values ​​of the influence of the cumulative total production volume and the average daily production growth rate on the production efficiency evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the real-time cumulative total production volume is input into the mapping set of the cumulative total production volume and the correction factors corresponding to the cumulative total production volume obtained in the enterprise quality management database to obtain the correction factor corresponding to the cumulative total production volume. The real-time average daily production growth rate is input into the mapping set of the average daily production growth rate and the correction factors corresponding to the average daily production growth rate obtained in the enterprise quality management database to obtain the correction factor corresponding to the average daily production growth rate.

[0063] It should be added that the historical production qualification rate, historical equipment failure rate, historical rework rate, and historical average production speed of each quality management process are correlated and do not exist independently. For example, a high historical equipment failure rate usually leads to production interruption or instability, which directly affects product quality and qualification rate. Historical equipment failures may lead to defective products in the production process, reducing the historical production qualification rate. A high historical rework rate usually means that there are more quality problems in the production process, resulting in a low historical production qualification rate. An excessively fast historical average production speed may lead to negligence in quality control, thereby affecting the historical production qualification rate. The historical equipment failure rate affects the continuity and stability of production. Frequent equipment failures may lead to product quality problems, which in turn leads to an increase in the historical rework rate. The historical equipment failure rate directly affects the production speed. Frequent equipment failures will cause the production line to stop, thereby reducing the historical average production speed.

[0064] It should be noted that by analyzing the historical production qualification rate of each quality management process, it is helpful to identify the production process or stage with high quality fluctuations and potential quality problems. Analyzing the historical equipment failure rate of each quality management process is helpful to analyze the pattern and cycle of equipment failure, and equipment maintenance and upgrade can be carried out in advance, thereby reducing the risk of sudden equipment downtime during production. Analyzing the historical rework rate of each quality management process can identify the links or reasons for frequent rework, thereby effectively reducing rework, reducing production costs, and improving production efficiency. Analyzing the historical average production speed of each quality management process is helpful to identify bottleneck links, and then take effective improvement measures to improve the overall efficiency of the production line.

[0065] In this implementation plan, a comprehensive analysis is conducted on the historical production qualification rate, historical equipment failure rate, historical rework rate and historical average production speed of each quality management process to obtain the quality inspection evaluation value of each quality management process. This can evaluate the most critical bottleneck factors in the production process, improve the stability of the quality management process, reduce production costs, and improve overall product quality and production efficiency.

[0066] In this implementation plan, a comprehensive analysis is conducted on the cumulative total production volume and the average daily production growth rate to obtain a production efficiency evaluation value, which can better analyze production efficiency, optimize resource allocation, and adjust quality management strategies, thereby improving the overall performance of enterprise production.

[0067] Specifically, the corresponding process management configuration is executed, and the specific process is: comparing the quality inspection judgment benchmark value of each quality management process with the set quality inspection judgment benchmark threshold value to obtain the quality inspection judgment result of each quality management process.

[0068] The quality inspection and judgment results of each quality management process include a quality inspection judgment of passing and a quality inspection judgment of failing.

[0069] If the quality inspection and judgment benchmark value of a quality management process is higher than or equal to the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process shall be marked as qualified quality inspection; if the quality inspection and judgment benchmark value of a quality management process is lower than the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process shall be marked as unqualified quality inspection.

[0070] The quality inspection results of each quality management process are extracted. If the quality inspection result of a quality management process is that the quality inspection is qualified, the process management configuration of the quality management process will continue to be performed at the current sampling frequency.

[0071] If the quality inspection result of a quality management process is that the quality inspection is unqualified, the quality management process will be recorded as an abnormal process, and the difference between the set quality inspection judgment benchmark threshold and the quality inspection judgment benchmark value of each abnormal process will be extracted and recorded as the frequency adjustment control value of each abnormal process. It will be matched with the sampling frequency corresponding to each frequency adjustment control value interval stored in the enterprise quality management database, and the sampling frequency corresponding to the interval of the frequency adjustment control value of each abnormal process will be counted and recorded as the sampling frequency of each abnormal process. Process management configuration will be performed for each abnormal process with the corresponding sampling frequency.

[0072] It should be added that the frequency adjustment control value of each abnormal process is obtained according to the quality inspection judgment benchmark value of each abnormal process. The larger the frequency adjustment control value of each abnormal process is, the higher the inspection demand corresponding to the abnormal process is. More random inspections are needed to determine the historical regulation degree of the abnormal process and the degree to which the continuous quality problems existing in the abnormal process are resolved, thereby improving the sustainability and stability of the process, helping to timely discover potential product quality problems, and thus improving the quality management level.

[0073] Specifically, the quality efficiency index value of each quality management process is obtained, and the specific process is: the production data of each quality management process includes the production volume, equipment utilization rate, average production speed, production qualification rate and product defect rate of each quality management process within a preset period.

[0074] It should be added that the production volume of each quality management process refers to the total number of products produced within a preset period, which can be measured by an automated monitoring system. The equipment utilization rate of each quality management process refers to the ratio of the actual operating time of the equipment to the available time of the equipment, reflecting the efficiency of equipment use. The equipment utilization rate of each quality management process can be obtained by using production log statistics. The average production speed of each quality management process refers to the production quantity within a preset period, which can be obtained by recording the number of products within the preset period through the production scheduling system. The ratio of the number of products within the preset period to the duration of the preset period is used as the average production speed of each quality management process. The production qualification rate of a process refers to the ratio of qualified products to the total production volume during the production process, which indicates the quality level of the production line. The production log can be used to obtain the total number of qualified products of each quality management process within the preset period, and the ratio of the total number of qualified products to the total number of products is used as the production qualification rate of each quality management process. The product defect rate of each quality management process refers to the ratio of the number of defective products in the production process to the total production volume, which reflects the degree of defects in production quality. The production log can be used to obtain the total number of defective products of each quality management process within the preset period, and the ratio of the total number of defective products to the total number of products is used as the product defect rate of each quality management process.

[0075] Based on the production data of each quality management process, the quality efficiency index value of each quality management process is obtained.

[0076] In this embodiment, the quality efficiency index value of each quality management process represents the numerical quantification result of the overall quality management efficiency obtained by analyzing the production data of each quality management process, and is used to comprehensively quantify the impact of the production data of each quality management process on the effectiveness of the enterprise quality management system.

[0077] Specifically, the quality efficiency index values ​​of each quality management process and the specific analysis conditions are as follows: ; In the formula, represents the quality efficiency index value of the i-th quality management process, represents the production volume of the i-th quality management process, represents the reference production volume of the set i-th quality management process, Indicates the weight factor corresponding to the set production volume, represents the equipment utilization rate of the i-th quality management process, represents the reference equipment utilization rate of the set i-th quality management process, Indicates the weight factor corresponding to the set equipment utilization rate, represents the average production speed of the i-th quality management process, represents the reference production speed of the set i-th quality management process, Indicates the weight factor corresponding to the set production speed, represents the production qualification rate of the i-th quality management process, Indicates the weight factor corresponding to the set production qualification rate, represents the product defect rate of the i-th quality management process, It represents the weight factor corresponding to the set product defect rate, i represents the number of each quality management process, , n represents the total number of quality management processes.

[0078] It should be added that, in this embodiment, the weight factor corresponding to the preset production volume, the weight factor corresponding to the equipment utilization rate, the weight factor corresponding to the production speed, the weight factor corresponding to the production qualification rate and the weight factor corresponding to the product defect rate are obtained from the enterprise quality management database.

[0079] It should be explained that the weight factors corresponding to the production volume, equipment utilization rate, production speed, production qualification rate and product defect rate respectively represent the numerical values ​​of the influence of the production volume, equipment utilization rate, average production speed, production qualification rate and product defect rate of each quality management process on the quality efficiency index value. These corresponding relationships are pre-set mapping relationships. For example, the real-time production volume of each quality management process is input into the mapping set of the production volume of each quality management process and the weight factors corresponding to the production volume obtained in the enterprise quality management database to obtain the weight factors corresponding to the production volume of each quality management process; the real-time equipment utilization rate of each quality management process is input into the mapping set of the equipment utilization rate of each quality management process and the weight factors corresponding to the equipment utilization obtained in the enterprise quality management database to obtain the equipment utilization rate of each quality management process. The weight factor corresponding to the utilization rate is input into the real-time average production speed of each quality management process into the mapping set of the average production speed of each quality management process and the weight factor corresponding to the production speed obtained in the enterprise quality management database to obtain the weight factor corresponding to the average production speed of each quality management process; the real-time production qualification rate of each quality management process is input into the mapping set of the production qualification rate of each quality management process and the weight factor corresponding to the production qualification rate obtained in the enterprise quality management database to obtain the weight factor corresponding to the production qualification rate of each quality management process; the real-time product defect rate of each quality management process is input into the mapping set of the product defect rate of each quality management process obtained in the enterprise quality management database and the weight factor corresponding to the product defect rate to obtain the weight factor corresponding to the product defect rate of each quality management process.

[0080] It should be added that there is a correlation between the production volume, equipment utilization, average production speed, production qualification rate and product defect rate of each quality management process, and they do not exist independently. For example, a decrease in the absolute value of the difference between the equipment utilization rate and the reference equipment utilization rate indicates that the equipment utilization efficiency is higher. The equipment utilization efficiency is usually positively correlated with the production volume. Improving the equipment utilization efficiency means reducing the idle time of the equipment and improving the operating efficiency of the production line, thereby increasing the production volume and improving the production qualification rate, which means reducing the product defect rate. The absolute value of the difference between the average production speed and the reference production speed decreases, resulting in an increase in the qualification rate and a decrease in the defect rate.

[0081] It should be noted that by analyzing the production volume of each quality management process, it is helpful to identify processes with production capacity bottlenecks or resource management waste, thereby helping enterprises adjust production plans and resource allocation. Analyzing the equipment utilization rate of each quality management process can help discover the potential and idle time in equipment use, more accurately evaluate the performance standards of equipment, and improve the standardization of production processes, thereby improving overall production efficiency and quality. Analyzing the average production speed of each quality management process can identify time delays and bottlenecks in the production process. Controlling the production speed and maintaining a reasonable production rhythm can help improve the standardized management of the production process, ensure the smooth progress of the production process, and avoid quality fluctuations. Analyzing the production qualification rate of each quality management process can help improve the consistency and reliability of the production process, further promote the achievement of quality standardization, and reduce quality deviations. Analyzing the product defect rate of each quality management process can promote the continuous optimization of enterprises in the quality management process, ensure that the production process meets standardization requirements, and improve the overall product qualification and quality controllability.

[0082] In this implementation plan, a comprehensive analysis is conducted on the production volume, equipment utilization, average production speed, production qualification rate and product defect rate of each quality management process to obtain the quality efficiency index value of each quality management process, which can be used to evaluate the product production quality of each quality management process.

[0083] Specifically, a comprehensive analysis is performed to obtain the comprehensive quality evaluation results of each quality management process. The specific process is: a comprehensive analysis is performed on the quality efficiency index values ​​of each quality management process and the quality inspection judgment benchmark values ​​of each quality management process to obtain the comprehensive quality evaluation values ​​of each quality management process; and based on the comprehensive quality evaluation values ​​of each quality management process, the comprehensive quality evaluation results of each quality management process are obtained.

[0084] In this embodiment, the comprehensive quality evaluation value of each quality management process represents the numerical quantification result of the process efficiency and quality level obtained by analyzing the quality efficiency index value and the quality inspection judgment benchmark value of each quality management process, which is used to comprehensively quantify the influence of the quality efficiency index value and the quality inspection judgment benchmark value of each quality management process on the product quality, and can be obtained by the following analysis method, and the specific analysis conditions are as follows: ; In the formula, represents the comprehensive quality evaluation value of the i-th quality management process, represents the quality efficiency index value of the i-th quality management process, Indicates the compensation factor corresponding to the set quality performance index value, represents the quality inspection judgment benchmark value of the i-th quality management process, It indicates the compensation factor corresponding to the set quality inspection judgment benchmark value, i indicates the number of each quality management process, , n represents the total number of quality management processes.

[0085] It needs to be explained that Figure 2 This is an example diagram of the comprehensive quality evaluation value of each quality management process changing with the quality efficiency index value, such as Figure 2 As shown, the horizontal axis represents the quality efficiency index value of the quality management process, and the vertical axis represents the comprehensive quality evaluation value of the quality management process. Three different sets of example parameters are defined in the figure, corresponding to different situations of the three curves, represented by solid lines, dotted lines and dotted lines, and the corresponding curve labels are a, b, and c.

[0086] It needs to be explained that when the quality inspection judgment benchmark value of the quality management process is 1.2, the functional relationship between the quality efficiency index value and the quality comprehensive evaluation value of the quality management process is shown as curve a, when the quality inspection judgment benchmark value of the quality management process is 1.4, the functional relationship between the quality efficiency index value and the quality comprehensive evaluation value of the quality management process is shown as curve b, when the quality inspection judgment benchmark value of the quality management process is 1.6, the functional relationship between the quality efficiency index value and the quality comprehensive evaluation value of the quality management process is shown as curve c, the quality comprehensive evaluation value of the quality management process increases with the increase of the quality efficiency index value, when the quality inspection judgment benchmark value of the quality management process increases, the quality comprehensive evaluation value of the quality management process increases accordingly, and the quality comprehensive evaluation value of the quality management process can be quickly and accurately obtained through the curve, which solves the problem in the prior art that the quality comprehensive evaluation value of the quality management process cannot be accurately analyzed due to the lack of detailed analysis process.

[0087] It should be added that, in this embodiment, the compensation factor corresponding to the preset quality efficiency index value and the compensation factor corresponding to the quality inspection determination benchmark value are obtained from the enterprise quality management database.

[0088] It needs to be explained that the compensation factors corresponding to the quality efficiency index values ​​and the quality inspection judgment benchmark values ​​respectively represent the numerical values ​​of the influence of the quality efficiency index values ​​and the quality inspection judgment benchmark values ​​of each quality management process on the comprehensive quality evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the real-time quality efficiency index values ​​of each quality management process are input into the mapping set of the quality efficiency index values ​​of each quality management process and the compensation factors corresponding to the quality efficiency index values ​​obtained in the enterprise quality management database to obtain the compensation factors corresponding to the quality efficiency index values ​​of each quality management process. The real-time quality efficiency index values ​​of each quality management process are input into the mapping set of the quality inspection judgment benchmark values ​​of each quality management process obtained in the enterprise quality management database and the compensation factors corresponding to the quality inspection judgment benchmark values ​​to obtain the compensation factors corresponding to the quality inspection judgment benchmark values ​​of each quality management process.

[0089] In this implementation plan, a comprehensive analysis is conducted on the quality efficiency index values ​​and quality inspection judgment benchmark values ​​of each quality management process to obtain a comprehensive quality evaluation value of each quality management process, which can be used to evaluate the overall performance of each quality management process.

[0090] Specifically, the comprehensive quality evaluation results of each quality management process are obtained. The specific process is: the comprehensive quality evaluation value of each quality management process is compared with the set comprehensive quality evaluation threshold to obtain the comprehensive quality evaluation results of each quality management process.

[0091] The comprehensive quality evaluation results of each quality management process include qualified quality and unqualified quality.

[0092] If the comprehensive quality evaluation value of a quality management process is higher than or equal to the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as qualified; if the comprehensive quality evaluation value of a quality management process is lower than the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as unqualified.

[0093] Specifically, a standardized monitoring frequency of enterprise quality management is constructed for each quality management process. The specific process is: extract the comprehensive quality evaluation results of each quality management process. If the comprehensive quality evaluation result of a quality management process is qualified, continue to perform standardized management configuration of the sensor device configuration of the quality management process with the current standardized monitoring frequency of enterprise quality management.

[0094] It should be added that the monitoring devices on each quality management process are synchronized and configured through the central controller according to the standardized monitoring frequency of the enterprise quality management.

[0095] If the comprehensive quality evaluation result of a quality management process is unqualified, the difference between the set comprehensive quality evaluation threshold and the comprehensive quality evaluation value of the quality management process is extracted and recorded as the sensor device configuration adjustment control value of each quality management process. According to the sensor device configuration adjustment control value of each quality management process, the standardized monitoring frequency of enterprise quality management of each quality management process is constructed.

[0096] It should be added that, based on the comprehensive quality evaluation value of each quality management process, the sensor device configuration adjustment control value of each quality management process is obtained. The larger the sensor device configuration adjustment control value of each quality management process, the higher the monitoring demand corresponding to the quality management process, and more monitoring frequencies are required to determine the accuracy of production control of the quality management process, thereby improving the overall quality management level.

[0097] Specifically, each quality management process is configured for standardized management. The specific process is: according to the sensor device configuration adjustment control value of each quality management process, the enterprise quality management standardized monitoring frequency of each quality management process is constructed. The specific process is: the sensor device configuration adjustment control value of each quality management process is matched with the enterprise quality management standardized monitoring frequency corresponding to each sensor device configuration adjustment control value interval stored in the enterprise quality management database, and the enterprise quality management standardized monitoring frequency corresponding to the interval of the sensor device configuration adjustment control value of each quality management process is counted, and recorded as the enterprise quality management standardized monitoring frequency of each quality management process.

[0098] Standardized management configuration of sensor device configuration for each quality management process is performed according to the standardized monitoring frequency of enterprise quality management for each quality management process.

[0099] It should be noted that standardizing the configuration of sensor devices for each quality management process according to the standardized monitoring frequency of enterprise quality management of each quality management process can improve quality management efficiency, ensure that each quality management process can be operated according to standards, reduce quality deviations, improve the reliability and consistency of production quality, and optimize production resource allocation.

[0100] It should be added that the standardized management configuration of each quality management process also includes sending early warning information to the staff if the comprehensive quality evaluation result of a quality management process is unqualified.

[0101] It should be noted that a method for constructing an enterprise quality management standardization system also includes an enterprise quality management database, which is used to store the reference production speed of each quality management process obtained by analyzing historical data, the correction factor corresponding to the production qualification rate, the correction factor corresponding to the equipment failure rate, the correction factor corresponding to the rework rate, the correction factor corresponding to the production speed, the correction factor corresponding to the cumulative total production volume, the correction factor corresponding to the average daily production growth rate, the quality inspection judgment benchmark threshold, the reference production volume of each quality management process, the reference equipment utilization rate of each quality management process, the weight factor corresponding to the production volume, the weight factor corresponding to the equipment utilization rate, the weight factor corresponding to the production speed, the weight factor corresponding to the production qualification rate, the weight factor corresponding to the product defect rate, the compensation factor corresponding to the quality efficiency index value, the compensation factor corresponding to the quality inspection judgment benchmark value, the comprehensive quality assessment threshold, the sampling frequency threshold and the enterprise quality management standardization monitoring frequency threshold.

[0102] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0103] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A method for constructing an enterprise quality management standardization system, characterized in that: include: Based on the enterprise quality management standardized process, several process segmentation nodes are counted, and the quality management standardized process between two adjacent process segmentation nodes is recorded as each quality management process; Monitor and obtain the historical process data of each quality management process, synchronously retrieve the accumulated production data, analyze and obtain the quality inspection and judgment benchmark values ​​of each quality management process, and execute the corresponding process management configuration; Collect production data of each quality management process and process it to obtain the quality efficiency index value of each quality management process; According to the quality efficiency index value of each quality management process, combined with the quality inspection and judgment benchmark value of each quality management process, a comprehensive analysis is conducted to obtain the comprehensive quality evaluation results of each quality management process, and the enterprise quality management standardization monitoring frequency of each quality management process is established. Then, each quality management process is configured for standardized management, and the process configuration data set is statistically constructed to output and display the quality management standardization system.

2. The method for constructing an enterprise quality management standardization system according to claim 1, characterized in that: The historical process data of each quality management process includes the historical production qualification rate, historical equipment failure rate, historical rework rate and historical average production speed of each quality management process; The cumulative production data includes the cumulative total production and the average daily production growth rate.

3. The method for constructing an enterprise quality management standardization system according to claim 2, characterized in that: The analysis obtains the quality inspection and judgment benchmark values ​​of each quality management process. The specific analysis process is as follows: Based on the historical process data of each quality management process, the quality inspection evaluation value of each quality management process is obtained; Based on the accumulated production data, the production efficiency evaluation value is obtained through comprehensive analysis; Comprehensively analyze the accumulated production data to obtain the production efficiency evaluation value, match the production efficiency evaluation value with the quality inspection and evaluation interference factors of each quality management process corresponding to each production efficiency evaluation value interval stored in the enterprise quality management database, and calculate the quality inspection and evaluation interference factors of each quality management process corresponding to the interval where the production efficiency evaluation value is located, and record them as the quality inspection and evaluation influencing factors of each quality management process; Based on a comprehensive analysis of the quality inspection evaluation values ​​of each quality management process and the quality inspection evaluation influencing factors of each quality management process, the quality inspection judgment benchmark values ​​of each quality management process are obtained.

4. The method for constructing an enterprise quality management standardization system according to claim 3, characterized in that: The specific process of executing the corresponding process management configuration is as follows: Compare the quality inspection and judgment benchmark value of each quality management process with the set quality inspection and judgment benchmark threshold to obtain the quality inspection and judgment result of each quality management process; The quality inspection and judgment results of each quality management process include quality inspection judgment qualified and quality inspection judgment unqualified; If the quality inspection and judgment benchmark value of a quality management process is higher than or equal to the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process is marked as qualified quality inspection and judgment; if the quality inspection and judgment benchmark value of a quality management process is lower than the set quality inspection and judgment benchmark threshold, the quality inspection and judgment result of the quality management process is marked as unqualified quality inspection and judgment; Extract the quality inspection results of each quality management process. If the quality inspection result of a quality management process is qualified, continue to perform process management configuration of the quality management process at the current sampling frequency. If the quality inspection result of a quality management process is that the quality inspection is unqualified, the quality management process will be recorded as an abnormal process, and the difference between the set quality inspection judgment benchmark threshold and the quality inspection judgment benchmark value of each abnormal process will be extracted and recorded as the frequency adjustment control value of each abnormal process. It will be matched with the sampling frequency corresponding to each frequency adjustment control value interval stored in the enterprise quality management database, and the sampling frequency corresponding to the interval of the frequency adjustment control value of each abnormal process will be counted and recorded as the sampling frequency of each abnormal process. Process management configuration will be performed for each abnormal process with the corresponding sampling frequency.

5. The method for constructing an enterprise quality management standardization system according to claim 1, characterized in that: The specific process of obtaining the quality efficiency index value of each quality management process is as follows: The production data of each quality management process includes the production volume, equipment utilization rate, average production speed, production qualification rate and product defect rate of each quality management process within a preset period; Based on the production data of each quality management process, the quality efficiency index value of each quality management process is processed.

6. The method for constructing an enterprise quality management standardization system according to claim 1, characterized in that: The comprehensive analysis obtains the comprehensive quality evaluation results of each quality management process. The specific process is as follows: A comprehensive analysis is conducted on the quality efficiency index values ​​of each quality management process and the quality inspection and judgment benchmark values ​​of each quality management process to obtain the comprehensive quality evaluation value of each quality management process. Based on the comprehensive quality evaluation value of each quality management process, the comprehensive quality evaluation results of each quality management process are obtained.

7. The method for constructing an enterprise quality management standardization system according to claim 6, characterized in that: The comprehensive quality evaluation results of each quality management process are obtained as follows: Compare the comprehensive quality evaluation value of each quality management process with the set comprehensive quality evaluation threshold to obtain the comprehensive quality evaluation result of each quality management process; The comprehensive quality assessment results of each quality management process include qualified quality and unqualified quality; If the comprehensive quality evaluation value of a quality management process is higher than or equal to the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as qualified; if the comprehensive quality evaluation value of a quality management process is lower than the set comprehensive quality evaluation threshold, the comprehensive quality evaluation result of the quality management process is marked as unqualified.

8. The method for constructing an enterprise quality management standardization system according to claim 7, characterized in that: The specific process of constructing the enterprise quality management standardized monitoring frequency of each quality management process is as follows: Extract the comprehensive quality evaluation results of each quality management process. If the comprehensive quality evaluation result of a quality management process is qualified, continue to perform standardized management configuration of the sensor device configuration of the quality management process at the current enterprise quality management standardized monitoring frequency; If the comprehensive quality evaluation result of a quality management process is unqualified, the difference between the set comprehensive quality evaluation threshold and the comprehensive quality evaluation value of the quality management process is extracted and recorded as the sensor device configuration adjustment control value of each quality management process. According to the sensor device configuration adjustment control value of each quality management process, the standardized monitoring frequency of enterprise quality management of each quality management process is constructed.

9. The method for constructing an enterprise quality management standardization system according to claim 8, characterized in that: The specific process of standardizing the management and configuration of each quality management process is as follows: According to the sensor device configuration adjustment control value of each quality management process, the enterprise quality management standardized monitoring frequency of each quality management process is constructed. The specific process is to match the sensor device configuration adjustment control value of each quality management process with the enterprise quality management standardized monitoring frequency corresponding to each sensor device configuration adjustment control value interval stored in the enterprise quality management database, and count the enterprise quality management standardized monitoring frequency corresponding to the interval where the sensor device configuration adjustment control value of each quality management process is located, and record it as the enterprise quality management standardized monitoring frequency of each quality management process; Standardized management configuration of sensor device configuration for each quality management process is performed according to the standardized monitoring frequency of enterprise quality management for each quality management process.

10. The method for constructing an enterprise quality management standardization system according to claim 6, characterized in that: The specific analysis conditions for the quality efficiency index values ​​of each quality management process are as follows: ； In the formula, represents the quality efficiency index value of the i-th quality management process, represents the production volume of the i-th quality management process, represents the reference production volume of the set i-th quality management process, Indicates the weight factor corresponding to the set production volume, represents the equipment utilization rate of the i-th quality management process, represents the reference equipment utilization rate of the set i-th quality management process, Indicates the weight factor corresponding to the set equipment utilization rate, represents the average production speed of the i-th quality management process, represents the reference production speed of the set i-th quality management process, Indicates the weight factor corresponding to the set production speed, represents the production qualification rate of the i-th quality management process, Indicates the weight factor corresponding to the set production qualification rate, represents the product defect rate of the i-th quality management process, It represents the weight factor corresponding to the set product defect rate, i represents the number of each quality management process, , n represents the total number of quality management processes.

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