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 |
| _version_ | 1818921617061838848 |
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| author | Hindi A. Al-Hindi |
| author_facet | Hindi A. Al-Hindi |
| author_sort | Hindi A. Al-Hindi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T01:40:29Z |
| format | Article |
| id | doaj.art-7e67ad6d34754aa9b0b4460043dc4853 |
| institution | Directory Open Access Journal |
| issn | 1018-3639 |
| language | English |
| last_indexed | 2024-12-20T01:40:29Z |
| publishDate | 2004-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Engineering Sciences |
| spelling | doaj.art-7e67ad6d34754aa9b0b4460043dc48532022-12-21T19:57:54ZengElsevierJournal of King Saud University: Engineering Sciences1018-36392004-01-01162295303Control Chart Interpretation Using Fuzzy ARTMAPHindi A. Al-Hindi0Associate Professor of IS, College of Business and Economics, King Saud University, Al-Qasseem Branch, Al-Melaida, Saudia ArabiaFuzzy 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.http://www.sciencedirect.com/science/article/pii/S101836391830792X |
| spellingShingle | Hindi A. Al-Hindi Control Chart Interpretation Using Fuzzy ARTMAP Journal of King Saud University: Engineering Sciences |
| title | Control Chart Interpretation Using Fuzzy ARTMAP |
| title_full | Control Chart Interpretation Using Fuzzy ARTMAP |
| title_fullStr | Control Chart Interpretation Using Fuzzy ARTMAP |
| title_full_unstemmed | Control Chart Interpretation Using Fuzzy ARTMAP |
| title_short | Control Chart Interpretation Using Fuzzy ARTMAP |
| title_sort | control chart interpretation using fuzzy artmap |
| url | http://www.sciencedirect.com/science/article/pii/S101836391830792X |
| work_keys_str_mv | AT hindiaalhindi controlchartinterpretationusingfuzzyartmap |