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Using Fuzzy Probability Distributions and Fuzzy Quality Control to Control the Production In One of the Companies affiliated to the Ministry of Industry and Minerals | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 9, Issue 2, 2013, Pages 57-71 | ||
| Authors | ||
| Firas Ahmed Mohammed; Malak Shawqi Abdullah | ||
| Abstract | ||
| The control chart technique is being widely used industries to monitor aprocess for quality improvement . One of the chart for attributes is the p-chart , For a p-chart each item is classified as either nonconforming or conforming to the specified quality characteristic . In some cases , an item may be classified in more than two categories such as ̎ bad ̎ , ̎ medium ̎ , ̎ good ̎ , ̎ excellent ̎ . Based on the concept , pandurangan , A. and Varadharajan , R. et al [5] to build Fuzzy multinomial chart with variable sample size by using multinomial distribution . the proposed method is compared with the conventional p-chart . It is seen that Fuzzy multinomial chart with variable sample size performs better than the conventional chart. | ||
| Keywords | ||
| Multinomial distribution; Fuzzy multinomial control chart; conventional control chart; Variable sample size; Linguistic Variable | ||
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