Control Chart Interpretation Using Fuzzy ARTMAP
Fuzzy ARTMAP is a newly introduced artificial neural network architecture that incorporates fuzzy logic into its dynamics. In this paper, fuzzy ARTMAP is used to: i) decide whether a production process is under statistical control or out of control and ii) determine the kind of shift that occurred i...
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| Format: | Article |
| Language: | English |
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Elsevier
2004-01-01
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| Series: | Journal of King Saud University: Engineering Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S101836391830792X |
| Summary: | Fuzzy ARTMAP is a newly introduced artificial neural network architecture that incorporates fuzzy logic into its dynamics. In this paper, fuzzy ARTMAP is used to: i) decide whether a production process is under statistical control or out of control and ii) determine the kind of shift that occurred in mean, variance or both. The results obtained form fuzzy ARTMAP were compared to those obtained from a combined x¯−R chart. By using a combined control chart to control the production process, the type of error is determined explicitly for both mean and variance. Findings demonstrated that the proposed approach outperforms control charts in identifying the kind of change that occurred in the production process. |
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| ISSN: | 1018-3639 |