Abstract
This paper refers to the AOQL single sampling plans for the inspection by variables, when the remainder of the rejected lots is inspected. The exact calculation of AOQL plans for minimizing the mean inspection cost per lot of the process average quality, which has been implemented in contributed package for R computing environment, is introduced. These plans are, in many situations more economical than the corresponding Dodge-Romig AOQL attribute sampling plans. The break-even value of the cost of inspecting an item by variables to the cost of inspecting the item by attributes, is suggested as a measure for the assessment of the economic efficiency of the sampling plan for inspection by variables. This value is supposed to help in deciding if inspection by variables should be considered instead of inspection by attributes.
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