CN103927617A - Quality management method - Google Patents
Quality management method Download PDFInfo
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- CN103927617A CN103927617A CN201410123931.0A CN201410123931A CN103927617A CN 103927617 A CN103927617 A CN 103927617A CN 201410123931 A CN201410123931 A CN 201410123931A CN 103927617 A CN103927617 A CN 103927617A
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Abstract
The invention provides a quality management method. The quality management method solves the problem that because the product quality cannot be effectively controlled in the prior art, production cost is increased. The quality management method includes the steps of 1, collecting data related to the product quality; 2, extracting key information from the collected data; 3, carrying out analysis and judgment according to the extracted key information, and judging whether the extracted key information is stable or not, wherein when the extracted key information is stable after being analyzed and judged, key information is extracted again, and when the extracted key information is not stable after being analyzed and judged, the key information is adjusted and then is analyzed and judged again so that the extracted key information can be stable; 4, carrying out the step 2 and extracting key information until no collected datum exists in the step 1. According to the quality management method, data can be adjusted in the production process, rejects are avoided, and at the same time, production cost is lowered.
Description
Technical field
The present invention relates to product quality management field, refer to especially a kind of method for quality control.
Background technology
In manufacturing and processing enterprise, the quality of product always is the most important thing, is not only the control to the cost of enterprise own, moves towards behind market at product simultaneously, as found quality problems, can cause the loss of traveller, enterprise is caused to the loss that cannot retrieve;
In prior art, enterprise checks final products by artificial or equipment, and according to assay and filter out the quality of substandard product, check in this way, as found, defective products needs defective products to reclaim, wherein, a lot of products re-start use after can processing by certain mode, but some product is to process, namely when finding to occur defective products, need defective products to discard, so virtually increased production cost.
Summary of the invention
The present invention proposes a kind of method for quality control, has solved in prior art and can not effectively carry out production quality control, the problem that production cost is increased.
Technical scheme of the present invention is achieved in that
A method for quality control, comprising:
S1: gather the data that relate to product quality;
S2: the extracting data key message gathering;
S3: analyze and judge according to the key message extracting, whether the key message that judgement is extracted is stable;
S31: the key message extracting after analyzing judgement is stable, again extracts key message;
S32: the key message extracting after analyzing judgement is unstable, carries out after the adjustment of key message, re-starts and analyzes judgement, so that the key message extracting is stable;
S4: return to S2 and extract key message, in S1 without till image data.
As further technical scheme, the data step that collection relates to product quality comprises:
Acquisition operations personnel, managerial personnel and other flow processs personnel data;
Gather production equipment maintenance and running state data;
The material data of collection of material product;
Gather production environment data;
Gather the service data of each link in process of production.
As further technical scheme, gather production environment data step and be specially:
Gather health, dust degree, temperature and humidity data in production environment.
As further technical scheme, gather the service data of each link in process of production and be specially:
Gather the service data to equipment debugging and input and output material setting value in process of production.
As further technical scheme, in the extracting data key message step gathering, comprise:
For the product of preparing to obtain, formulate and obtain standard and acquisition methods;
The acquisition methods completing according to formulation carries out obtaining of product;
Whether the product that judgement is obtained meets the standard of obtaining of formulation, if meet the standard of obtaining, product is qualified standby; If do not meet the standard of obtaining, carry out re-starting product after data adjustment and obtain.
As further technical scheme, acquisition methods is specially:
Operating personnel's entry information;
Determine and extract quantitative value;
According to extracting quantitative value, extract a certain class data in operating personnel's entry information.
As further technical scheme, the standard of obtaining is specially:
Whether the data that judgement is extracted meet the requirement of extracting quantitative value;
If undesirable, return and re-start extraction;
As meet the requirements, whether the data that judgement is extracted are same class data, if same class can be used, if inhomogeneity data are returned again, extract.
As further technical scheme, the key message extracting after analyzing judgement is stable, the key message that again extracts key message step and extract after analyzing judgement is unstable, carry out after the adjustment of key message, re-start and analyze judgement, so that the key message stabilizing step of extracting is specially:
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is stable, does not belong to the data that affect product quality, re-starts the extraction of other critical datas;
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is the root that causes defective products, needs this key message to adjust, and after adjustment, re-starts and analyze judgement, reaches and meets preset value.
Technical solution of the present invention is by gathering the data of product, and the extracting data key message gathering, for key message, analyze judgement, according to judged result, when the critical data of extracting is stablized, re-start extraction, when the data of extracting unstable, after adjusting, extract, and analyze judgement for the content of again extracting, so that critical data stable after till, pass through technique scheme, can in the process of production, adjust accordingly, avoided the problem of finding defective products after formed product to occur, when having improved the yield rate of product, reduced production cost.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the process flow diagram of a kind of method for quality control of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, a kind of method for quality control proposing in the present invention, comprising:
Collection relates to the data of product quality, wherein, comprises acquisition operations personnel, managerial personnel and other flow processs personnel data, and other flow processs personnel data are logistics personnel or depositary management personnel etc.; Gather production equipment maintenance or running state data, i.e. the parameters of the mantenance data of collecting device, maintenance data and running status etc.; The material data of collection of material product, the i.e. cleanliness of material and humidity etc.; Gather and produce sublimity data, comprise health, dust degree, humidity and temperature data in production environment; Gather the service data of each link in production run, comprise tune-up data, input and output material setting value data, charging sequence, refulling cycle and the material drying time etc. of equipment;
Extracting data key message gathering, comprising:
For the product of preparing to obtain, formulate and obtain standard and acquisition methods; Wherein,
Acquisition methods is operating personnel's entry information, determines and extracts quantitative value, according to extracting quantitative value, extracts a certain class data in operating personnel's entry information;
Whether the data that the standard of obtaining is extracted for judgement meet the requirement of extracting quantitative value, if undesirable, return and re-start extraction, as meet the requirements, whether the data that judgement is extracted are same class data, if same class can be used, if returning again, inhomogeneity data extract;
The acquisition methods completing according to formulation carries out obtaining of product;
Whether the product that judgement is obtained meets the standard of obtaining of formulation, if meet the standard of obtaining, product is qualified standby; If do not meet the standard of obtaining, carry out re-starting product after data adjustment and obtain.
According to the key message extracting, analyze and judge, whether the key message that judgement is extracted is stable;
The key message extracting after analyzing judgement is stable, again extracts key message;
The key message extracting after analyzing judgement is unstable, carries out after the adjustment of key message, re-starts and analyzes judgement, so that the key message extracting is stable;
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is stable, does not belong to the data that affect product quality, re-starts the extraction of other critical datas;
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is the root that causes defective products, needs this key message to adjust, and after adjustment, re-starts and analyze judgement, reaches and meets preset value.
Embodiment 1: the production of copper pipe:
In the present embodiment, mainly carry out the measurement of copper pipe pipe thickness, be set as pipe thickness and all meet the requirements between 2~4mm;
Gather the personnel's data in copper pipe production run, device data, material data, environmental data and service data, for copper pipe, formulate standard and the method obtained, carry out key message extraction, key message in the present embodiment is personnel's data, device data, material data, environmental data and service data, extract for the first time and in the present embodiment, be extracted as for the first time personnel's data, according to the data of extracting to operating personnel, managerial personnel, logistics personnel or depositary management personnel's data analysis judgement, see that whether the result of analyzing after judgement is stable, according to the result of analyzing judgement, see that personnel's data are whether in preset value (result drawing according to long term data statistics) scope, if in preset value, represent that it is not to be caused by personnel's data that defective products produces, extract for the second time, be extraction equipment data, the like, until service data is analyzed to judgement, as analyzed the result of judgement at leaching process for the first time, show that personnel's data are no longer in the scope of preset value, to re-start and analyze judgement analyzing after the related data of judgement is adjusted, till knowing that value after adjustment is within the scope of preset value, and then realize second extraction, until service data is analyzed to judgement, so, data are extracted every data in process of production, after analyzing judgement and adjustment, produce, avoided causing the generation of defective products possibility in each link, when reducing defective products rate, reduced production cost.
Embodiment 2: the production of plastic products:
The mode adopting in generative process with copper pipe is identical, first extract for the first time (extraction of personnel's data), result after analyzing judgement is in preset value, represent that it is not to be caused by personnel's data that defective products produces, extract for the second time, if the result of extracting is not for the first time in preset value, the generation that shows defective products is caused by personnel's data, after need to adjusting personnel's data, analyzing judgement, until adjust the result of post analysis judgement, within the scope of preset value, extracting for the second time again; The result of extracting is for the second time identical with the mode of extracting for the first time, for saving space, repeats no more.
In above-mentioned two embodiment, the result after analysis judgement is not each time within the scope of preset value, and the data adjustment that need to carry out can be: operating personnel, managerial personnel or other flow processs personnel's mode of operation, the adjustment of sequence of operation; Also can be the adjustment of each action parameter in equipment running status; Can also be to produce with the raw-material humidity of product or the adjustment of cleanliness; The adjustment to the cleanliness of operating environment, temperature, humidity or dust degree.
These are only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (8)
1. a method for quality control, is characterized in that, comprising:
S1: gather the data that relate to product quality;
S2: the extracting data key message gathering;
S3: analyze and judge according to the key message extracting, whether the key message that judgement is extracted is stable;
S31: the key message extracting after analyzing judgement is stable, again extracts key message;
S32: the key message extracting after analyzing judgement is unstable, carries out after the adjustment of key message, re-starts and analyzes judgement, so that the key message extracting is stable;
S4: return to S2 and extract key message, in S1 without till image data.
2. method for quality control as claimed in claim 1, is characterized in that, described S1 step comprises:
Acquisition operations personnel, managerial personnel and other flow processs personnel data;
Gather production equipment maintenance and running state data;
The material data of collection of material product;
Gather production environment data;
Gather the service data of each link in process of production.
3. method for quality control as claimed in claim 2, is characterized in that, described collection production environment data step is specially:
Gather health, dust degree, temperature and humidity data in production environment.
4. method for quality control as claimed in claim 2, is characterized in that, the described collection in process of production service data of each link is specially:
Gather the service data to equipment debugging and input and output material setting value in process of production.
5. method for quality control as claimed in claim 1, is characterized in that, described S2 step comprises:
For the product of preparing to obtain, formulate and obtain standard and acquisition methods;
The acquisition methods completing according to formulation carries out obtaining of product;
Whether the product that judgement is obtained meets the standard of obtaining of formulation, if meet the standard of obtaining, product is qualified standby; If do not meet the standard of obtaining, carry out re-starting product after data adjustment and obtain.
6. method for quality control as claimed in claim 5, is characterized in that, described acquisition methods is specially:
Operating personnel's entry information;
Determine and extract quantitative value;
According to extracting quantitative value, extract a certain class data in operating personnel's entry information.
7. method for quality control as claimed in claim 6, is characterized in that, described in obtain standard and be specially:
Whether the data that judgement is extracted meet the requirement of extracting quantitative value;
If undesirable, return and re-start extraction;
As meet the requirements, whether the data that judgement is extracted are same class data, if same class can be used, if inhomogeneity data are returned again, extract.
8. method for quality control as claimed in claim 6, is characterized in that, described S31 step and S32 step are specially:
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is stable, does not belong to the data that affect product quality, re-starts the extraction of other critical datas;
The key message extracting after analyzing judgement meets preset value, represents that the key message extracting is the root that causes defective products, needs this key message to adjust, and after adjustment, re-starts and analyze judgement, reaches and meets preset value.
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CN201410123931.0A CN103927617A (en) | 2014-03-28 | 2014-03-28 | Quality management method |
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CN201410123931.0A CN103927617A (en) | 2014-03-28 | 2014-03-28 | Quality management method |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106154989A (en) * | 2015-03-31 | 2016-11-23 | 上海米道信息科技有限公司 | A kind of enterprise manufactures mistake proofing management method and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1213113A (en) * | 1997-08-29 | 1999-04-07 | 日本电气株式会社 | Manufacturing process change control apparatus and its manufacturing process change control method |
US20080016490A1 (en) * | 2006-07-14 | 2008-01-17 | Accenture Global Services Gmbh | Enhanced Statistical Measurement Analysis and Reporting |
CN103336521A (en) * | 2013-07-24 | 2013-10-02 | 浙江中烟工业有限责任公司 | Technical quality parameter tracking system of PROTOS cigarette making machine |
-
2014
- 2014-03-28 CN CN201410123931.0A patent/CN103927617A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1213113A (en) * | 1997-08-29 | 1999-04-07 | 日本电气株式会社 | Manufacturing process change control apparatus and its manufacturing process change control method |
US20080016490A1 (en) * | 2006-07-14 | 2008-01-17 | Accenture Global Services Gmbh | Enhanced Statistical Measurement Analysis and Reporting |
CN103336521A (en) * | 2013-07-24 | 2013-10-02 | 浙江中烟工业有限责任公司 | Technical quality parameter tracking system of PROTOS cigarette making machine |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106154989A (en) * | 2015-03-31 | 2016-11-23 | 上海米道信息科技有限公司 | A kind of enterprise manufactures mistake proofing management method and system |
CN106154989B (en) * | 2015-03-31 | 2019-04-12 | 上海米道信息科技有限公司 | A kind of enterprise manufactures mistake proofing management method and system |
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Application publication date: 20140716 |