Journal
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume 37, Issue 6, Pages 1239-1261Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610910802049623
Keywords
control charts; inter-quartile range; normality; non normality; outliers; power curves; Q chart; R chart; R-Q chart; S chart; simulations; special causes
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The study proposes a Shewhart-type control chart, namely Q chart, based on inter-quartile range, for monitoring changes (especially of moderate and large amounts which is major concern of Shewhart-type control charts) in process dispersion assuming normality of quality characteristic to be monitored. The design structure of Q chart is developed and its comparison is made with those of well-known R and S charts and R-Q chart proposed by Rocke (1992). The comparisons have revealed superiority of the proposed Q chart as compared to R and S charts in terms of discriminatory power and resistance against non normality and as compared to R-Q chart in terms of relaxing the restriction for 25th and 75th ordered positions in the data to be integer values and in terms of detecting special causes in the absence and presence of outliers in the data.
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