Abstract
This paper compares our proposed method of using the modified tolerance region (MRT) 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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Title of host publication | Proceedings of the 4th International Workshop on Computer Science and Engineering |
Place of Publication | Singapore |
Publisher | International Association of Computer Science and Information Technology (IACSIT) |
Pages | 1 - 5 |
Number of pages | 5 |
Publication status | Published - 2015 |
Event | International Workshop on Computer Science and Engineering (WCSE-Winter 2014) - , Hong Kong Duration: 26 Dec 2014 → 28 Dec 2014 Conference number: 4th http://www.wcse.us/2014.html |
Workshop
Workshop | International Workshop on Computer Science and Engineering (WCSE-Winter 2014) |
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Abbreviated title | WCSE 2014-Winter |
Country/Territory | Hong Kong |
Period | 26/12/14 → 28/12/14 |
Other | Workshop Conducted at the International Conference on Mechatronics and Mechanical Design |
Internet address |