Dodge-Romig AOQL single sampling plans for inspection by variables

被引:28
|
作者
Klufa, J [1 ]
机构
[1] UNIV ECON,DEPT MATH,CR-13067 PRAGUE,CZECH REPUBLIC
关键词
Sampling Plan; Statistical Paper; Defective Item; Standard Normal Distribution Function; Acceptance Sampling;
D O I
10.1007/BF02925218
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Acceptance sampling plans for inspection by variables, which minimize the mean inspection cost per lot of process average quality (assuming that the remainder of rejected lots is inspected), are derived under the condition that the maximum value of the mean fraction defective after sampling inspection replacing all defective items found by good ones, shall be equal to p(L). These plans are tabulated for chosen values of the given parameters, and compared with the Dodge-Romig AOQL attribute sampling plans. From the comparison it follows that under the same protection of consumer the AOQL plans for Inspection by variables are in some situations more economical than the corresponding Dodge-Romig plans.
引用
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页码:111 / 119
页数:9
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