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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.
Additional information
Notes on contributors
Nikola Kasprikova
Nikola Kasprikova is an Assistant Professor in the Department of Mathematics at University of Economics in Prague, Czech Republic and a freelance consultant. She has participated in several business projects in marketing, banking and retail. Her professional interests include computational statistics, database analysis and data mining with applications in biomedical research, finance and management.
Jindrich Klufa
Jindrich Klufa is a Professor in the Department of Mathematics at University of Economics in Prague, Czech Republic. His research interests include design of experiments and statistical methods in quality control.