Title of article :
Modified Shewhart Charts for High Yield Processes
Author/Authors :
Tee Chin Chang & Fah Fatt Gan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
21
From page :
857
To page :
877
Abstract :
The conventional Shewhart p or np chart is not effective for monitoring a high yield process, a process in which the defect level is close to zero. An improved Shewhart np chart for monitoring high yield processes is proposed. A review of control charts for monitoring high yield processes is first given. The run length performance of the proposed Shewhart chart is then compared with other high yield control charts.A simple procedure for designing the chart for processes subjected to sampling or 100% continuous inspection is provided and this allows the chart to be implemented easily on the factory floor. The practical aspects of implementation of the Shewhart chart are discussed. An application of the Shewhart chart based on a real data set is demonstrated
Keywords :
Average Run Length , binomial counts , parts-per-million non-conforming items , Statistical process control , supplementary runs rules
Journal title :
JOURNAL OF APPLIED STATISTICS
Serial Year :
2007
Journal title :
JOURNAL OF APPLIED STATISTICS
Record number :
712149
Link To Document :
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