Skip to main content
Solved

Accetance Sampling Status


Forum|alt.badge.img+3
  • Sidekick (Partner)
  • 8 replies

What can be the reason for the Acceptance Sampling Status “Rejected”, if all results within specification? 

Best answer by Peter Lundgren

Yes, I agree. In your example above where all result values = Nominal Value, then the Analysis should have been “Accepted” since the mean value for the entered result values = Nominal Value, and the standard deviation for the result values is zero. So this looks strange.

View original
Did this topic help you find an answer to your question?

9 replies

Forum|alt.badge.img+10
  • Hero (Employee)
  • 208 replies
  • August 29, 2023

Hi.

This result must be for a Sample size 50 of variable data, there must be other lines in the Analysis result that are not conforming and the number of non conforming samples must exceed the acceptance limit.

So the entire lot is rejected and that status is inherited to every result line. This could be one reason.


Forum|alt.badge.img+3
  • Author
  • Sidekick (Partner)
  • 8 replies
  • August 29, 2023

Hi Dameenda,

I tested with 2 lines (Variable and Attribute) per Shop Order and enter every time in my examples only OK- Values. The Acceptance Sampling Status for Variable Lines is every time “Rejected”, for the Attribute lines every time “Accepted”!?


Forum|alt.badge.img+10
  • Hero (Employee)
  • 208 replies
  • August 29, 2023

What is the Track you used? and also could you share the screens showing all the result lines for Variable data?


Peter Lundgren
Hero (Employee)
Forum|alt.badge.img+7

Acceptance sampling is methodology to determine the quality of an entire product lot by inspecting a sample of the lot and using statistical analysis.

When using attribute or variable acceptance sampling in a control plan you have defined what AQL value to be used in the calculations to determine whether the entire lot should be Accepted or Rejected.

“AQL” stands for “Acceptance Quality Limit” is defined as the “quality level that is the worst tolerable”. For example: “AQL = 4%” means “I accept at the most 4% defective items in the entire lot”.

If the acceptance sampling logic (defined by the used ISO-standard) determines that, statistically speaking, more items in the product lot will be defective than the defined AQL value, the entire lot is Rejected. For example: If AQL = 4% is used and the result of the Accept/Reject statistical analysis is that more than 4% of the items in the entire lot is expected to be defective, then the status will be “Rejected”. It is quite possible to get the status “Rejected” even though all inspected items are within specification. In variable acceptance sampling this could happen, for instance, if the inspected results values are close to the specification limits.

Also, please note that “Rejected” does not necessarily mean that the entire lot should be scrapped. It only means that more than AQL% items of the entire lot is expected to be defective.


Forum|alt.badge.img+3
  • Author
  • Sidekick (Partner)
  • 8 replies
  • August 29, 2023

 


Forum|alt.badge.img+3
  • Author
  • Sidekick (Partner)
  • 8 replies
  • August 30, 2023

 


Forum|alt.badge.img+3
  • Author
  • Sidekick (Partner)
  • 8 replies
  • August 30, 2023

Tests are done on 23R1. Basic Data in Control Plan and Values in Analysis should end in “Acceptance”!


Peter Lundgren
Hero (Employee)
Forum|alt.badge.img+7
  • Hero (Employee)
  • 60 replies
  • Answer
  • September 5, 2023

Yes, I agree. In your example above where all result values = Nominal Value, then the Analysis should have been “Accepted” since the mean value for the entered result values = Nominal Value, and the standard deviation for the result values is zero. So this looks strange.


sutoto
Sidekick (Partner)
Forum|alt.badge.img+5
  • Sidekick (Partner)
  • 25 replies
  • October 4, 2023

I have the same case. 

 


Reply


Cookie policy

We use cookies to enhance and personalize your experience. If you accept you agree to our full cookie policy. Learn more about our cookies.

 
Cookie settings