Acceptance Sampling Plans by Variables CH 16. Contents Advantages and Disadvantages of Acceptance...

Acceptance Sampling Plans by Variables

CH 16

Contents

Advantages and Disadvantages of Acceptance Sampling by Variables.

Types of Acceptance Sampling by Variables.

Chain Sampling. Continuous Sampling.

Advantages of Variables Sampling

The same OC curve can be obtained with a smaller sample size than would be required by an attributes sampling plan.

Measurement data provide more information about the manufacturing process.

When AQLs are very small, the sample sizes required by attributes sampling plans are very large.

Disadvantages of Variables Sampling

The distribution of the quality characteristic must be known.

A separate sampling plan must be employed for each quality characteristic that is being inspected.

Types of Variables Sampling Plans

Plans that control the lot or process fraction defective.

Plans that control a lot or process mean.

Plans to Control Process Fraction Defective

Since the quality characteristic is a variable, there will exist either LSL, USL, or both, that define the acceptable values of this parameter.

Fig. 1 illustrates the situation in which the quality characteristic x is normally distributed and there is LSL on this parameter.

Fig. (1)

Plans to Control Process Fraction Defective

Procedure 1 (k-Method)

Take a random sample of n items from the lot and

compute

If there is a critical value of p of interest that should not be exceeded with stated probability, we can translate this value of p into critical distance k.

If ZLSL ≥ k, we would accept the lot because the sample data imply that the lot mean is sufficiently far above LSL to insure that p is satisfactory.

Plans to Control Process Fraction Defective

Procedure 2 (M-Method)

Compute ZLSL .

Use ZLSL to estimate the fraction defective of the lot or

process . Determine the max. allowable fraction defective M

(using specific values of n, k). If exceeds M, reject the lot; otherwise, accept it.

Plans to Control Process Fraction Defective

Notes

In the case of an USL, we compute If is unknown, it is estimated by s. When there is only a single specification limit (LSL or

USL), either procedure may be used. When there are both LSL and USL, M-method should be

used by computing ZLSL and ZUSL, finding the corresponding fraction defective estimates and

Then, if + ≤ M, the lot will be accepted.

^ ^pLSL pUSL

pLSL pUSL

^ ^

Designing a variables sampling plan with a specified OC curve

Let be the two points on the OC curve of interest.

are the levels of lot or process fraction nonconforming that correspond to acceptable and rejectable levels of quality, respectively.

p1 and p2

Designing a variables sampling plan with a specified OC curve Example 1

Designing a variables sampling plan with a specified OC curve

Designing a variables sampling plan with a specified OC curve

Example 2 :Design a sampling plan using M-method

Designing a variables sampling plan with a specified OC curve

MIL STD 414

There are five general levels of inspection, and level IV is designated as “normal”.

MIL STD 414

As MIL STD 105E, sample size code letters are used, but the same code letter does not imply the same sample size in both standards.

Sample sizes are a function of the lot size and the inspection level.

All the sampling plans in the standards assume that the quality characteristic is normally distributed.

MIL STD 414

Organization of MIL STD 414

MIL STD 414

Example 3: Using MIL STD 414

Solution

From table, if we use IV level, the sample size code letter is O.

From a second table, we find n=100.

For AQL of 1%, on normal inspection, k=2.

For AQL of 1%, on tightened inspection, k=2.14

MIL STD 414

Plans to Control A Process Mean Example 4

SolutionLet XA be the value of the sample average below witch the lot

will be accepted.If lots have 0.95 probability of acceptance, thenP (X ≤ XA ) = 0.95

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Plans to Control A Process Mean

P (Z ≤ ) = 0.95

=1.64

If lots have 0.1 probability of acceptance, then

P (X ≤ XA ) = 0.1

p (Z ≤ ) = 0.1

= -1.28

These two equations can be solved for n and XA , giving n=9 and

XA=0.356

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--

Chain Sampling Plan

It is used for small sample size plans that have acceptance number of zero.

Lots should be produced under the same conditions, and be expected to be of the same quality.

There should be a good record of quality performance on the part of supplier.

The general procedure for ChSP-1: For each lot, select the sample of size n and observe the defectives. If sample has zero defectives, accept the lot . If sample has two or more defectives, reject the lot. If sample has 1 defective, accept the lot provided that there have

been no defectives in the previous i lots.

Chain Sampling Plan The effect of chain sampling on OC curve:

It is more difficult to reject lots

with very small p with ChSp-1

Plan than it is with ordinary single

Plan. In practice, values of i vary between

3 and 5, since OC curves of such plans

approximate OC curve for S-S plan. The points on the OC curve of

a ChSP-1 plan are given by:

Continuous Sampling Plan

Used when production is continuous. That is, the manufacturing operation do not result in the natural formation of lots.

It consists of altering sequences of sampling inspection and screening (100% inspection).

Continuous Sampling Plan

Procedure for CSP-1 plans

Continuous Sampling Plan The average number of units inspected in a 100% screening is

equal to , where q=1-p

The average number of units passed under the sampling inspection

is

The average fraction of total manufactured units inspected in the

long run is

The average fraction of manufactured units passed under the

sampling procedure is

ii1

pqqu

fpv 1

vufvuAFI

vuv

ap

Continuous Sampling Plan

OC curves for various continuous sampling plans, CSP-1.