Variable Sampling Interval Cumulative Count of Conforming Chart with Runs Rules

被引:11
|
作者
Lee, Ming Ha [1 ]
Khoo, Michael B. C. [2 ]
机构
[1] Swinburne Univ Technol, Fac Engn Comp & Sci, Kuching, Sarawak, Malaysia
[2] Univ Sains Malaysia, Sch Math Sci, George Town 11800, Malaysia
关键词
Cumulative count of conforming chart; Markov chain; Runs rules; Variable sampling interval; CONDITIONAL DECISION PROCEDURE; ECONOMIC DESIGN; CCC; INSPECTION; CUSUM;
D O I
10.1080/03610918.2013.839035
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
The cumulative count of conforming (CCC) chart is effective in detecting very low fraction of nonconforming items for high yield manufacturing processes. In this study, a combination of runs rules and variable sampling interval feature is proposed to a lower sided CCC chart by inspecting the items one by one. The performance measures of the control chart are derived by using the Markov chain approach. The numerical comparisons show that the performance of the CCC chart can be improved by adding the runs rules and varying the sampling interval.
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页码:2410 / 2430
页数:21
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