Feature-based decision rules for control charts pattern recognition: A comparison between CART and QUEST algorithm
نویسندگان
چکیده
منابع مشابه
Fuzzy rules for fuzzy $overline{X}$ and $R$ control charts
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...
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Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...
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Control charts, known for more than 80 years, have been important tools for business and industrial manufactures. Among many different types of control charts, the attribute control chart (np-chart or p-chart) is one of the most popular methods to monitor the number of observed defects in products, such as semiconductor chips, automobile engines, and loan applications. The attribute control cha...
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ژورنال
عنوان ژورنال: international journal of industrial engineering computations
سال: 2012
ISSN: 1923-2926,1923-2934
DOI: 10.5267/j.ijiec.2011.09.002