CN112700103A - Standardized configuration quality management method - Google Patents
Standardized configuration quality management method Download PDFInfo
- Publication number
- CN112700103A CN112700103A CN202011564998.XA CN202011564998A CN112700103A CN 112700103 A CN112700103 A CN 112700103A CN 202011564998 A CN202011564998 A CN 202011564998A CN 112700103 A CN112700103 A CN 112700103A
- Authority
- CN
- China
- Prior art keywords
- quality
- inspection
- standard
- report
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 13
- 238000007689 inspection Methods 0.000 claims abstract description 76
- 238000001514 detection method Methods 0.000 claims abstract description 39
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000004519 manufacturing process Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 6
- 238000012946 outsourcing Methods 0.000 claims description 4
- 230000002265 prevention Effects 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 239000013072 incoming material Substances 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims 1
- 239000000047 product Substances 0.000 description 20
- 230000007547 defect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000003326 Quality management system Methods 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000013067 intermediate product Substances 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Fuzzy Systems (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Game Theory and Decision Science (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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,
mean value formula:
wherein xiFor the ith sample value of the signal, the sample value,
is the average of n samples;
the variance equation:
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,
mean value formula:
wherein xiFor the ith sample value of the signal, the sample value,
is the average of n samples;
the variance equation:
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,
mean value formula:
wherein xiFor the ith sample value of the signal, the sample value,
is the average of n samples;
the variance equation:
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011564998.XA CN112700103A (en) | 2020-12-25 | 2020-12-25 | Standardized configuration quality management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011564998.XA CN112700103A (en) | 2020-12-25 | 2020-12-25 | Standardized configuration quality management method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112700103A true CN112700103A (en) | 2021-04-23 |
Family
ID=75510783
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011564998.XA Pending CN112700103A (en) | 2020-12-25 | 2020-12-25 | Standardized configuration quality management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112700103A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112700103A (en) | Standardized configuration quality management method | |
| CN109711659B (en) | Yield improvement management system and method for industrial production | |
| CN100399321C (en) | Statistical process analyse system and statistical process analyse method performed by computer | |
| CN108537301A (en) | A kind of accurate retroactive method of full process of aluminium alloy compression casting product | |
| CN110310134B (en) | Customized furniture management tracing method based on coding information association | |
| CN105741053A (en) | Whole life-cycle management model for intelligent gas device | |
| CN112800044B (en) | Data quality judging and monitoring method, management system, storage medium and terminal | |
| CN110223152B (en) | Method and system for acquiring plate production data in furniture manufacturing execution system | |
| CN110597196A (en) | Data acquisition system and data acquisition method | |
| Lyu et al. | A data-driven approach for identifying possible manufacturing processes and production parameters that cause product defects: A thin-film filter company case study | |
| CN117056688A (en) | New material production data management system and method based on data analysis | |
| CN110763979A (en) | LED wafer point measurement automatic system based on MES system | |
| Eger et al. | Knowledge capturing platform in multi-stage production systems for zero-defect manufacturing | |
| CN114297792A (en) | Automatic sheet metal design and machining method, device, control equipment and system | |
| CN116308070B (en) | Method for collecting and managing inferior goods and related equipment | |
| JP2002251212A (en) | Method for quality control and system for the same and recording medium with its program recorded | |
| CN116303402A (en) | Data cleaning method based on data warehouse | |
| CN112199369A (en) | Body-in-white quality management method and system | |
| CN112364095A (en) | Data traceability analysis visualization method | |
| CN111511113A (en) | Circuit board processing system, device and method | |
| CN217955133U (en) | Detection data system for part production | |
| Yu et al. | Research of on-line process quality control system | |
| Amara et al. | The Production Tracking Process in a Real Textile Company | |
| CN107067270A (en) | PCB manufacture process craft follow-up of quality methods | |
| CN114022110A (en) | Workpiece detection data acquisition method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |