CN108470229A - One kind being based on CpkThe reliability of bulk article enter detecting method - Google Patents
One kind being based on CpkThe reliability of bulk article enter detecting method Download PDFInfo
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Abstract
The invention discloses a kind of typical products in mass production reliability incoming test methods.Determine the several key characteristic parameters for certain product that each supplier provides, it is desirable that while supplier delivers the product every time, provide the C of these key characteristic parameters respectivelypk.Enterprise samples when progress reliability enters to examine and tests these key characteristic parameters, calculate Cpk.By calculated CpkThe C provided with supplierpkIt compares and analyzes, it is determined whether this batch of product can be received.The present invention solves the problems, such as that the reliability of typical products in mass production common at present and difficult to deal with enters inspection, it is proposed that one kind being based on CpkCertificate authenticity method, both certain batch of product reliability level can be judged, it the presence or absence of reliability level difference can be distinguished between different batches again, the height of reliability level between different suppliers can also be compared, engineer application reality has been fully considered simultaneously, it is safe, lossless, inexpensive, simple, conscientiously operable.
Description
Technical field
The present invention relates to certificate authenticity method fields.It provides a set of method simple to operation, is particularly suitable for
The inspection whether reliability level of typical products in mass production (such as high-volume component, high-volume machine product) meets the requirements.
Background technology
At present about the incoming test of product, substantially just for the inspection of performance indicator, and about reliability level
There is no good ways and means for the inspection of height.Enter inspection especially for typical products in mass production, carrying out 100% inspection is
Impossible or very high cost thing.Therefore, in enterprise engineering practical application, there is an urgent need to a kind of convenient and efficient, lossless, low
The reliability incoming test method of cost, can quickly judge whether this batch of product meets reliability requirement.Due to CpkIt is higher, mistake
Cheng Bianyi is smaller, and product reliability is higher, therefore can use CpkAs a kind of parameter for portraying reliability level height.The present invention carries
It has supplied a kind of using CpkMethod carry out bulk article reliability enter detecting method.
Invention content
The invention aims to provide a kind of convenient and efficient, lossless, the inexpensive reliability of bulk article to enter factory's inspection
Proved recipe method can judge the height of this batch of product reliability level;Simultaneously can also between different batches reliability
Level has indifference to be compared;While the height of reliability level between different suppliers can also be compared.
In order to solve the above technical problems, method provided by the invention is as follows:
If there is n supplier to provide certain product (n >=1), determine that several key characteristic parameters of the product (are considered
Engineer application is practical, generally can be 1~5), it is assumed that it is xi(i >=1), it is desirable that while supplier delivers the product every time,
The C of these key characteristic parameters is provided respectivelypk.Enterprise is when carrying out reliability and entering to examine, the random selection product at least 25
As sample, the test result x of these key characteristic parameters is tested and recordedij(i≥1;J=1,2,3 ... k;K >=25), meter
Calculate Cpk.By calculated CpkThe C provided with supplierpkIt compares and analyzes, it is determined whether this batch of product can be received.Work as confession
Answer the product that quotient provides when not being the same batch, then different batches inspect to calculating C respectivelypk, different batches can be compared
The difference of secondary reliability level.When different suppliers provides the product, C is calculated then different suppliers are inspected by random samples respectivelypk,
The height of different supplier's reliability levels can be compared.
It is as follows:
Step 1:Determine several key characteristic parameters of certain product, it is assumed that be xi(i≥1)。
Step 2:Assuming that certain enterprise there are n different suppliers to supply the product (n >=1), different suppliers are randomly selected
Certain product of (e.g., tri- different suppliers of A, B, C) different batches respectively at least 25.
Step 3:The test result for testing and recording these key characteristic parameters respectively, is denoted as xI, j, n(i≥1;J=1,
2,3 ... k;k≥25;n≥1).
Step 4:Test of normality is carried out to test data.If data Normal Distribution passes directly to the 5th step;
Otherwise, the 5th step is gone to after carrying out normality conversion.
Step 5:According to following procedure Capability index CpkCalculation formula, calculate separately different supplier's different batches
The C of every group of test datapkValue.
In above formula,
Related symbol is described as follows in formula:
CPL:Unilateral lower limit Measure of Process Capability
CPU:Unilateral upper limit Measure of Process Capability
Cpk:Measure of Process Capability
The mean value of all sample measurements
LSL:Lower specification limit
USL:Upper specification limit
σ:Process inherently fluctuates
μ:Mean value
Mean range
d2:Control figure coefficient, it is related with sample size
Step 6:When meeting following three kinds of conditions simultaneously, this batch of product can be received;Otherwise, then reject this batch of product or
It proposes to carry out the improved requirement of product quality reliability to supplier.
i.Cpk1.33 should be not less than as far as possible;
Ii. by calculated CpkThe C that value is provided with supplierpkValue is compared, and the error of the two is within 10%;
Ii. the C between different batchespkValue difference cannot not be more than 10%.
Step 7:Respectively by the calculated C of different supplierspkValue is compared, CpkThe bigger supplier's reliability of value is more
It is high.
The advantage of the invention is that:
I. the present invention be directed to common at present and intractable typicals products in mass production (such as high-volume component, high-volume complete machine
Product etc.) reliability enter inspection problem, it is proposed that one kind be based on CpkCertificate authenticity method, this method both can to certain batch produce
Product reliability level is judged, and the presence or absence of reliability level difference can be distinguished between different batches, can be with
Compare the height of reliability level between different suppliers.
Ii is proposed by the present invention to be based on CpkReliability enter detecting method, can be filled by means of the test data of performance indicator
Divide and considers engineer application reality, it is safe, lossless, inexpensive, simple, conscientiously operable.
Description of the drawings
Fig. 1 is the test of normality result of 1 key characteristic parameter x1 of supplier's A batches;
Fig. 2 is the test of normality result of 1 key characteristic parameter x2 of supplier's A batches;
Fig. 3 is the test of normality result of 2 key characteristic parameter x1 of supplier's A batches;
Fig. 4 is the test of normality result of 2 key characteristic parameter x2 of supplier's A batches;
Fig. 5 is the test of normality result of 3 key characteristic parameter x1 of supplier's B batches;
Fig. 6 is the test of normality result of 3 key characteristic parameter x2 of supplier's B batches;
Fig. 7 is supplier's A batches 1, the Cpk result of calculations of 2 key characteristic parameters x1, x2;
Fig. 8 is the Cpk result of calculations of 3 key characteristic parameter x1, x2 of supplier's B batches.
Symbol, code name are described as follows in figure:
N:Number of samples (see Fig. 1~Fig. 6)
AD:Inspection statistics magnitude (see Fig. 1~Fig. 6)
P values:Significance (see Fig. 1~Fig. 6)
LSL:Lower specification limit (see Fig. 7)
USL:Upper specification limit (see Fig. 7)
LSL*:Lower specification limit after transformation (see Fig. 8)
USL*:Upper specification limit after transformation (see Fig. 8)
Cp:Latent process Capability index (see Fig. 7, Fig. 8)
CPL:Unilateral lower limit Measure of Process Capability (see Fig. 7, Fig. 8)
CPU:Unilateral upper limit Measure of Process Capability (see Fig. 7, Fig. 8)
Cpk:Measure of Process Capability (see Fig. 7, Fig. 8)
Specific implementation mode
Below with reference to example is implemented, the present invention is further illustrated, which is used for illustrating and noting limit
The present invention.
In the case study on implementation of the present invention, provide a kind of based on CpkComponent reliability enter detecting method.Certain enterprise
Reliability, which is carried out, in certain component for the different batches supplied to Liang Jia suppliers A, B enters inspection, it is known that specification limit requires as 2 ±
0.2,3 ± 0.2, supplier A, B provide x1、x2CpkIt is 2.6,2.5.Examination carries out this batch of component of supplier A, B reliable
Property enter inspection.
Specifically entering detecting method includes:
Step 1:Analysis determines there are two the determination key characteristic parameters of this kind of component, is denoted as x1、x2, specification limit requirement
It is 2 ± 0.2,3 ± 0.2;
Step 2:The enterprise only supplies this kind of component there are two supplier A, B, randomly selects Liang Ge suppliers and this time carries
Each 25 of this kind of component of the different batches of confession;
Step 3:It tests and records key characteristic parameter x1、x2Test result be shown in Table 1, simplification be denoted as xI, j(j=
1,2,3 ... k;K=25), x2, j(j=1,2,3 ... k;K=25);
1 key characteristic parameter x of table1、x2Test result
Step 4:Test of normality is carried out to test data.If data Normal Distribution passes directly to the 5th step;
Otherwise, the 5th step is gone to after carrying out normality conversion.
Six groups of data carry out the result is shown in Figure 1~Fig. 6 of test of normality respectively.Since 1 key characteristic of supplier's A batches is joined
Number x1,1 key characteristic parameter x2 of supplier's A batches, 2 key characteristic parameter x1 of supplier's A batches, supplier's A batches 2 are crucial special
The p value of property parameter x2 is all higher than 0.05, can directly be transferred to the 5th step and be calculated;3 key characteristic parameter x1 of supplier's B batches,
The p value of 3 key characteristic parameter x2 of supplier's B batches is respectively less than 0.05, then needs to go to the 5th step after carrying out normality conversion.
Step 5:According to Measure of Process Capability CpkCalculation formula, 1 key characteristic parameter x of supplier's A batches1Test number
According to CpkValue calculates as follows.
Cpk=min { CPL, CPU}=min { 2.560,2.684 }=2.56 (10)
Similarly, it can be calculated with same method:1 key characteristic parameter x2 of supplier's A batches, supplier's A batches 2 are crucial special
Property parameter x1,2 key characteristic parameter x2 of supplier's A batches;3 key characteristic parameter x1 of supplier's B batches, supplier's B batches 3 are closed
The C of key characterisitic parameter x2pkValue.Summarize result of calculation and is shown in Table 2.Energy F-histogram is shown in Fig. 7,8 respectively.
2 supplier's A, B batch of table, 1,2,3 key characteristic parameter x1、x2The C of test datapkResult of calculation
Step 6:Due to two different batches x of supplier A1、x2CpkIt is all higher than 1.33;And provided due to supplier A
x1、x2CpkRespectively 2.6,2.5, calculated CpkThe C that value is provided with supplierpkValue is compared, and the two error is 10%
Within;And the C between batch 1 and batch 2pkValue difference is not also within 10%;Therefore the two batches of supplier A can be received
Product.
Due to supplier B batches x1、x2CpkRespectively less than 1.33;And due to the x of supplier B offers1、x2CpkRespectively
It is 2.6,2.5, the two error is all higher than 10%, therefore, refusal receives this batch of product of supplier B, while proposing to carry out to supplier B
The improved requirement of product quality reliability.
Step 7:Respectively by the calculated C of different supplierspkValue is compared, the C of supplier ApkIt is worth larger, reliability
It is higher.Supplier B can be required to learn to supplier A, promote the reliability level for reaching supplier A.
The reliability that the seven above steps solve three different batches of product of Liang Ge suppliers through the invention enters inspection
Problem not only judged each batch products reliability level, but between different batches reliability level height into
It has gone differentiation, has also provided a comparison of the height of reliability level between different suppliers, while having fully considered engineer application reality, peace
Entirely, lossless, inexpensive, simple, conscientiously operable.
Claims (1)
1. one kind being based on CpkThe reliability of bulk article enter detecting method, which is characterized in that include the following steps:
Step 1:Determine several key characteristic parameters of certain product, it is assumed that be xi(i≥1);
Step 2:Assuming that certain enterprise there are n different suppliers to supply the product (n >=1), different suppliers are randomly selected (e.g.,
A, tri- different suppliers of B, C) different batches certain product respectively at least 25;
Step 3:The test result for testing and recording these key characteristic parameters respectively, is denoted as xI, j, n(i≥1;J=1,2,
3 ... k;k≥25;n≥1);
Step 4:Test of normality is carried out to test data:If data Normal Distribution passes directly to the 5th step;Otherwise,
The 5th step is gone to after carrying out normality conversion;
Step 5:According to following procedure Capability index CpkCalculation formula, calculate separately every group of different supplier's different batches
The C of test datapkValue;
In above formula,
Related symbol is described as follows in formula:
CPL:Unilateral lower limit Measure of Process Capability
CPU:Unilateral upper limit Measure of Process Capability
Cpk:Measure of Process Capability
The mean value of all sample measurements
LSL:Lower specification limit
USL:Upper specification limit
σ:Process inherently fluctuates
μ:Mean value
Mean range
d2:Control figure coefficient, it is related with sample size
Step 6:When meeting following three kinds of conditions simultaneously, this batch of product can be received;Otherwise, then this batch of product is rejected or to confession
Quotient is answered to propose to carry out the improved requirement of product quality reliability:
i.Cpk1.33 should be not less than as far as possible;
Ii. by calculated CpkThe C that value is provided with supplierpkValue is compared, and the error of the two is within 10%;
Ii. the C between different batchespkValue difference cannot not be more than 10%;
Step 7:Respectively by the calculated C of different supplierspkValue is compared, CpkThe bigger supplier's reliability of value is higher.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112883332A (en) * | 2019-11-29 | 2021-06-01 | 沈阳石蜡化工有限公司 | Cpk-based method for testing control stability of oil refining chemical device |
CN114114044A (en) * | 2021-11-15 | 2022-03-01 | 天津市捷威动力工业有限公司 | Method for evaluating welding overcurrent reliability of tab-busbar module |
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CN102982234A (en) * | 2012-10-26 | 2013-03-20 | 西安电子科技大学 | Computing method of multivariable process capability index |
CN104268392A (en) * | 2014-09-23 | 2015-01-07 | 北京航空航天大学 | Manufacturing process product reliability decline risk evaluating method based on quality deviation |
CN104484747A (en) * | 2014-12-01 | 2015-04-01 | 西安电子科技大学 | Method for determining qualified rate of products by utilizing truncation samples |
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2017
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101937212A (en) * | 2009-07-03 | 2011-01-05 | 中芯国际集成电路制造(上海)有限公司 | Process detection method and device |
CN102982234A (en) * | 2012-10-26 | 2013-03-20 | 西安电子科技大学 | Computing method of multivariable process capability index |
CN104268392A (en) * | 2014-09-23 | 2015-01-07 | 北京航空航天大学 | Manufacturing process product reliability decline risk evaluating method based on quality deviation |
CN104484747A (en) * | 2014-12-01 | 2015-04-01 | 西安电子科技大学 | Method for determining qualified rate of products by utilizing truncation samples |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112883332A (en) * | 2019-11-29 | 2021-06-01 | 沈阳石蜡化工有限公司 | Cpk-based method for testing control stability of oil refining chemical device |
CN114114044A (en) * | 2021-11-15 | 2022-03-01 | 天津市捷威动力工业有限公司 | Method for evaluating welding overcurrent reliability of tab-busbar module |
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