Sampling PlanIncludes the required information about the sample sizes and the criteria that are to be used to valuate the results of the sampling inspection.
Depending on whether you work with AQL values, the sampling scheme contains a sampling plan table (which is arranged according to the lot quantity) for each inspection severity or for each combination of inspection severity and AQL value.
Lot Size
The lot size gives the quantity of the population (measured in sample units) as an upper limit, up to which the relevant sampling plan applies.
In every table with sampling plans that you have created within a sampling scheme, also enter the largest possible lot size. If you enter a value that is greater than the maximum possible value, the system will reset the value to 10,000,000,000.
If you use a lot size to determine samples that is not taken into account in a sampling plan table, the sample size cannot be determined.
Sample Size
The sample size is the quantity of units (calculated in sample units) taken from a population or subpopulation in order to be inspected.
Acceptability Constant
You use the acceptability constant k-factor in a sampling plan for a variable inspection to define the lowest value of the quality score in the samples, with which the sample is accepted. The acceptability constant for a variable inspection corresponds to the acceptance number for an attributive inspection.
Acceptance Number c
You use the acceptance number c in a sampling inspection for an attributive inspection to define the highest number of nonconforming units or defects in the sample that still allows the lot to be accepted. The acceptance number in an attributive inspection corresponds to the acceptability constant in a variable inspection.
Note
If you are working with dependent multiple samples, you enter a separate acceptance number for each individual sample.
Rejection Number d
You use the rejection number d in a sampling inspection for an attributive inspection to define the lowest number of nonconforming units or defects in a sample that lead to the rejection of the lot.
If you are working with dependent multiple samples, you enter a separate rejection number for each individual sample.