CN112700103A - Standardized configuration quality management method - Google Patents
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- 238000007726 management method Methods 0.000 title claims abstract description 13
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Abstract
The invention discloses a standardized configuration quality management method. The quality data base is internally stored with a quality plan, a quality detection standard, quality analysis and a quality standard definition, the quality plan realizes electronic operation guidance, automatic support and equipment error-proofing control, the quality detection standard realizes to-be-detected and inspection item prompt, quality inspection, quality abnormity alarm and quality judgment, the quality analysis realizes quality daily report, quality data tracing and quality analysis report, and the quality standard definition realizes definition of a quality detection template and definition of a quality processing flow. The invention makes the quality inspection standard be established uniformly, the quality inspection task be executed along with the production, the template is inspected uniformly, the inspection information automatically enters the system, and paperless and transparent effects are realized.
Description
Technical Field
The invention belongs to the field of standardized configuration; in particular to a standardized configuration quality management method.
Background
Different quality inspection reports need to be defined according to different quality detection requirements, and the editing of a large number of quality reports is time-consuming and labor-consuming, so that a standardized quality management system cannot be formed.
The quality inspection is manually processed, information is not transmitted timely, the qualification rate and the rejection rate of the production on the same day cannot be mastered by the leader layer, the collection and filing of paper reports are difficult, no data processing is carried out, statistical analysis cannot be carried out, and a basis cannot be provided for defect identification.
Disclosure of Invention
The invention provides a standardized configuration quality management method, wherein quality inspection standards are uniformly formulated, quality inspection tasks are executed along with production, templates are uniformly inspected, inspection information automatically enters a system, and paperless and transparent functions are realized.
The invention is realized by the following technical scheme:
a standardized configuration quality management method comprises a quality database, wherein a quality plan, a quality detection standard, quality analysis and a quality standard definition are stored in the quality database, the quality plan realizes electronic operation guidance, automation support and equipment error prevention control, the quality detection standard realizes the prompting of a to-be-detected and inspection item, quality inspection, quality abnormity alarm and quality judgment, the quality analysis realizes quality daily report, quality data tracing and quality analysis report, and the quality standard definition realizes the definition of a quality detection template and the definition of a quality processing flow.
Further, the quality database specifically comprises quality inspection standards, execution of inspection tasks, quality tracing, formation of quality reports, quality statistics and quality analysis;
the quality inspection standard specifically comprises incoming material inspection, process inspection, outsourcing part inspection and finished product inspection standard information, and is used for automatically detecting products;
the inspection task execution specifically comprises the steps of automatically acquiring an inspection plan to execute the inspection task, automatically configuring standard inspection items, inspection methods, index requirements, defect types and standard information of detection tasks executed by the samples by the system, automatically pushing the tasks to each inspection group by the system, generating an inspection report sheet blank table of the samples, and sending a reminding message to a related responsible person.
Further, sample detection is carried out according to standard detection items, detection methods, index requirements and standard information of detection tasks executed by the samples, and data are automatically acquired or manually input;
automatically calculating a detection result according to the acquired data;
and automatically calculating data according to the detection result, and summarizing and counting to generate a test report through a Structured Query Language (SQL).
Further, the automatic calculation includes performing mean and variance calculations, as follows,
wherein sigma2Is the variance of n samples.
Furthermore, the quality tracing forms a complete tracing system by the information in the production process of the product through a task list, and the complete tracing system is determined as the unique identifier of the product passing the detection.
Further, the formed quality report is a quality report in the production process of the product, and comprises a self-inspection report, a routing inspection report and a factory acceptance report.
Furthermore, the quality statistics is to count according to the problems occurring in the quality detection process, and to summarize and archive.
The invention has the beneficial effects that:
1. the invention can count the occurrence frequency of problems such as internal quality, external quality, missing parts, damaged parts, looseness, protection, process, appearance, usability, reverse connection and the like according to month according to Structured Query Language (SQL) statistical analysis, and judge the defective rate.
2. The invention can automatically identify the common defects of spots, pits, scratches, chromatic aberration, defects and the like on the surface of the workpiece, and can carry out custom detection in the system.
3. The defect types can be learned and named in a user-defined new adding mode, the current common defect types are supported, other types can be expanded and supported, and the method is suitable for quality inspection work of different production and processing scenes.
4. The invention can select the defect types to be detected according to the requirements, and forms personalized detection schemes aiming at different finished products, intermediate products, raw materials and the like.
5. When the quality inspection is abnormal, the invention can send event processing information through the system and request related personnel to perform quality inspection processing.
6. The invention can form a product quality tracing flow chart and trace the source of quality problems before or after the product leaves the factory.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a schematic diagram of the detection method and detection index management of the present invention.
FIG. 3 is a schematic diagram of the inspection task execution of the present invention.
FIG. 4 is a schematic diagram of a spot check list according to the present invention.
FIG. 5 is a schematic diagram of the auxiliary functions of the present invention.
Figure 6 is a quality tracing flow chart of the present invention.
FIG. 7 is a schematic diagram of the mass analysis of the present invention.
FIG. 8 is a graph of a self-test record during the assembly process of the present invention.
FIG. 9 is a second chart of self-test records during the assembly process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 9, a standardized configuration quality management method has a quality database in which a quality plan that realizes automatic support of electronic work guidance, processing drawings, and the like and error-proofing control of equipment, a quality inspection standard that realizes prompt of inspection and inspection items, quality inspection, alarm of quality abnormality, and quality judgment, quality analysis that realizes quality daily report, quality data tracing, and quality analysis report, and quality standard definition that realizes definition of a quality inspection template and definition of a quality processing flow are stored.
Further, the quality database specifically comprises quality inspection standards, execution of inspection tasks, quality tracing, formation of quality reports, quality statistics and quality analysis;
the quality inspection standard specifically comprises incoming material inspection, process inspection, outsourcing part inspection and finished product inspection standard information, and is used for automatically detecting products;
the inspection task execution specifically comprises the steps of automatically acquiring an inspection plan to execute an inspection task, automatically configuring standard inspection items, inspection methods, index requirements, defect types and standard information of inspection tasks executed by a sample by a system, reducing manual participation and simultaneously considering the characteristic that outsourcing inspection items are uncertain, executing the inspection tasks according to the standard requirements, automatically pushing the tasks to each inspection group by the system, generating an inspection report sheet blank table of the sample, and sending a reminding message to a relevant responsible person.
Further, sample detection is carried out according to standard detection items, detection methods, index requirements and standard information of detection tasks executed by the samples, and data are automatically acquired or manually input;
and automatically calculating a detection result according to the acquired data, flexibly editing a calculation formula through a system function database, setting a reduction method, and automatically calculating the mean value and the variance through a system background standard calculation algorithm. The system can set the repeatability requirement and the precision requirement of a plurality of detection results, and automatically judge the accuracy and the reliability of the detection results;
and carrying out automatic calculation according to the detection result, and summarizing and counting through Structured Query Language (SQL).
Further, the automatic calculation includes performing mean and variance calculations, as follows,
wherein sigma2Is the variance of n samples.
Furthermore, the quality tracing forms a complete tracing system by the information in the production process of the product through a task list, and the complete tracing system is determined as the unique identifier of the product passing the detection. Part of the information may be provided to the client. Traceability can also be made in accordance with the quality problems that have occurred. So as to avoid the reoccurrence of similar problems in a targeted way. The efficiency of the cooperative flow among multiple departments is improved, manual business is changed into automatic business, and the complex work of data tracing is eliminated; effectively reduce the inside and outside cost-push that the quality problems of defective products brought in later stage.
Further, the formed quality report is a quality report in the production process of the product, and comprises a self-inspection report, a routing inspection report and a factory acceptance report. For customer and archive purposes.
Furthermore, the quality statistics is to count according to the problems occurring in the quality detection process, and to summarize and archive. And the quality problems of the specific product type are calculated, the problem of the specific product type is the most, and the specific problem is conveniently found and a solution is provided. And an anomaly tracker is arranged to control and record anomaly processing, so that the improvement speed is increased, and the management capability is improved.
Further, the quality analysis is divided into product quality analysis and production quality analysis, and the product quality analysis comprises: finding out the difference between the product percent of pass and the quality target required by the customer and the interior, accurately searching the most important unqualified factors, analyzing the reasons, and pertinently taking correction and prevention measures to prevent the unqualified products from happening again;
and (3) analyzing the production quality: the main factors causing the bad trend of the production process characteristics are accurately found out, the reasons are analyzed, correction and prevention measures are pertinently taken, and the bad trend is reversed.
The characteristic auxiliary function:
and (4) abnormal reminding and early warning: when an abnormal condition occurs (such as unqualified detected indexes, large detected data deviation, return in circulation and the like), the system pushes message reminders (color reminders, message reminders, short messages and mails) to the responsible person in real time;
according to the completion condition of the inspection task list, the detection progress can be tracked;
and (5) revising traces. All revision operations record logs through the authority management user revision function;
original record inquiry, retrieval, preview and typing.
Claims (7)
1. A standardized configuration quality management method is characterized in that the management method comprises a quality database, wherein a quality plan, a quality detection standard, a quality analysis and a quality standard definition are stored in the quality database, the quality plan realizes electronic operation guidance, automation support and equipment error prevention control, the quality detection standard realizes prompting of a to-be-detected and inspection item, quality inspection, quality abnormity alarm and quality judgment, the quality analysis realizes quality daily report, quality data tracing and quality analysis report, and the quality standard definition realizes definition of a quality detection template and definition of a quality processing flow.
2. The method according to claim 1, wherein the quality database is specifically a quality inspection standard, an inspection task, quality tracing, quality report formation, quality statistics and quality analysis;
the quality inspection standard specifically comprises incoming material inspection, process inspection, outsourcing part inspection and finished product inspection standard information, and is used for automatically detecting products;
the inspection task execution specifically comprises the steps of automatically acquiring an inspection plan to execute the inspection task, automatically configuring standard inspection items, inspection methods, index requirements and standard information of detection tasks executed by the samples by the system, automatically pushing the tasks to each inspection group by the system, generating an inspection report blank table of the samples, and sending a reminding message to a related responsible person.
3. The method for managing the quality of the standardized configuration according to claim 2, is characterized in that the sample detection is carried out according to the standard information of the standard test items, test methods, index requirements and test tasks executed by the sample, and automatically acquired data or manually input data is adopted;
automatically calculating a detection result according to the acquired data;
and automatically calculating data according to the detection result, and summarizing and counting to generate a test report through a Structured Query Language (SQL).
4. The method of claim 3, wherein the automatic calculation comprises performing mean and variance calculations, as follows,
wherein sigma2Is the variance of n samples.
5. The method for quality management of standardized configuration according to claim 2, wherein the quality tracing forms a complete tracing system by the information in the production process of the product through a task sheet, and determines the information as the unique identifier of the product passing the detection.
6. The method according to claim 2, wherein the quality report is formed by a self-inspection report, a patrol inspection report, and a factory acceptance report.
7. The method according to claim 2, wherein the quality statistics are statistics based on problems occurring during quality inspection and are summarized and archived.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114254931A (en) * | 2021-12-22 | 2022-03-29 | 重庆至信实业集团有限公司 | Enterprise quality management system and method |
CN115359841A (en) * | 2022-10-20 | 2022-11-18 | 百特元生物科技(北京)有限公司 | Quality inspection method and device for DNA detection kit |
CN115356343A (en) * | 2022-10-21 | 2022-11-18 | 北京科技大学 | Method and system for detecting quality of iron alloy for steelmaking |
CN116205542A (en) * | 2023-04-28 | 2023-06-02 | 菲特(天津)检测技术有限公司 | Quality management system, method, equipment and medium based on data comparison |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573977A (en) * | 2015-01-24 | 2015-04-29 | 武钢集团昆明钢铁股份有限公司 | Quality data management system and method |
CN108090675A (en) * | 2017-12-18 | 2018-05-29 | 北京工业大学 | The quality control system that a kind of vehicle is manufactured |
CN109118030A (en) * | 2017-06-23 | 2019-01-01 | 长沙搜博网络科技有限公司 | A kind of design of the special steel Quality Information System of internet |
CN111930088A (en) * | 2020-08-18 | 2020-11-13 | 苏州麻雀智能科技有限公司 | Edge management system |
-
2020
- 2020-12-25 CN CN202011564998.XA patent/CN112700103A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573977A (en) * | 2015-01-24 | 2015-04-29 | 武钢集团昆明钢铁股份有限公司 | Quality data management system and method |
CN109118030A (en) * | 2017-06-23 | 2019-01-01 | 长沙搜博网络科技有限公司 | A kind of design of the special steel Quality Information System of internet |
CN108090675A (en) * | 2017-12-18 | 2018-05-29 | 北京工业大学 | The quality control system that a kind of vehicle is manufactured |
CN111930088A (en) * | 2020-08-18 | 2020-11-13 | 苏州麻雀智能科技有限公司 | Edge management system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114254931A (en) * | 2021-12-22 | 2022-03-29 | 重庆至信实业集团有限公司 | Enterprise quality management system and method |
CN115359841A (en) * | 2022-10-20 | 2022-11-18 | 百特元生物科技(北京)有限公司 | Quality inspection method and device for DNA detection kit |
CN115356343A (en) * | 2022-10-21 | 2022-11-18 | 北京科技大学 | Method and system for detecting quality of iron alloy for steelmaking |
CN116205542A (en) * | 2023-04-28 | 2023-06-02 | 菲特(天津)检测技术有限公司 | Quality management system, method, equipment and medium based on data comparison |
CN116205542B (en) * | 2023-04-28 | 2023-08-04 | 菲特(天津)检测技术有限公司 | Quality management system, method, equipment and medium based on data comparison |
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