Abstract
This paper compares our proposed method of using the modified tolerance region (MTR) to the generalised distance (GD) approach for estimating the probability of non-conforming product. For correlated quality characteristics, the tolerance region needs to be redefined so that the model is more stringent in identifying potentially poor product quality, as perceived by customers. The paper shows that the MTR approach is more effective in estimating the proportion of non-conformance (PNC) for correlated quality characteristics as compared to the GD approach. We also compare the multivariate capability index computed using the PNC values obtained from both the GD and MTR methods. The estimation of PNC assists not only in the evaluation of process performance and capability but also in the quantification of cost of poor quality.
Original language | English |
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Publication status | Published - 1 Jan 2014 |
Event | International Workshop on Computer Science and Engineering (WCSE-Summer) 2014 - Dubai, United Arab Emirates Duration: 22 Aug 2014 → 23 Aug 2014 Conference number: 4th |
Workshop
Workshop | International Workshop on Computer Science and Engineering (WCSE-Summer) 2014 |
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Abbreviated title | WCSE 2014-Summer |
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 22/08/14 → 23/08/14 |
Keywords
- Correlated characteristics
- Generalised distance
- Multivariate quality control
- Proportion of non-conformance
- Tolerance region