Efficient Selection of Design Parameters in Multi-Objective Economic-Statistical Model of Attribute C Control Chart
نویسندگان
چکیده مقاله:
Control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. Generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. Optimally selecting these parameters depends on several process parameters, which have been considered from statistical and/or economic aspects in the literature. This study presents a multi-objective economic-statistical design (MOESD) of the C control chart. An algorithm using data envelopment analysis (DEA) is employed to solve this model. A numerical example is used to illustrate the algorithm procedure.
منابع مشابه
efficient selection of design parameters in multi-objective economic-statistical model of attribute c control chart
control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. optimally selecting these parameters depends on several process parameters, which have been considered from statistical and...
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عنوان ژورنال
دوره 2 شماره 2
صفحات 357- 367
تاریخ انتشار 2014-06-29
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