An economic alternative to the c chart

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The Bootstrap S-chart for Process Variability: an Alternative to Mad Chart

In statistical process control, the control charts are the most powerful tools for assessing the process behaviour. The Shewhart S chart is a standard tool for determining process variability. Similar to S chart, the chart based on Median Absolute Deviation from the sample median namely MAD estimator is also considered robust for both normal and non-normal processes. As ̅ and are considered unbi...

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D Chart: An Efficient Alternative to Monitor Process Dispersion

Control chart is the most important Statistical Process Control tool used to monitor reliability and performance of industrial processes. For monitoring changes in process dispersion, the R and S charts are widely used. These control charts perform better under the ideal assumption of normality but are well known to be very inefficient in presence of outliers or departures from normality. In th...

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An Economic Design of Tukey's Control Chart

The significant features of Tukey’s control chart include characteristics such as: easy setup, use of single observation to monitor process, and suitability to monitor destructive testing processes. The control limit width and sampling interval should be determined before Tukey’s control chart can be used. In this study, Duncan’s cost function is modified to construct an economic design model o...

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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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ژورنال

عنوان ژورنال: International Journal of Quality Engineering and Technology

سال: 2014

ISSN: 1757-2177,1757-2185

DOI: 10.1504/ijqet.2014.060430