Fuzzy Approach to Statistical Control Charts
After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty a...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/745153 |
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| _version_ | 1832552491262148608 |
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| author | Shahryar Sorooshian |
| author_facet | Shahryar Sorooshian |
| author_sort | Shahryar Sorooshian |
| collection | DOAJ |
| description | After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance. |
| format | Article |
| id | doaj-art-3a6693a07f3148b3921c49bbd0c97b3a |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-3a6693a07f3148b3921c49bbd0c97b3a2025-02-03T05:58:29ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/745153745153Fuzzy Approach to Statistical Control ChartsShahryar Sorooshian0Faculty of Technology, University Malaysia Pahang, Gambang Kuantan, 26300 Pahang, MalaysiaAfter investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance.http://dx.doi.org/10.1155/2013/745153 |
| spellingShingle | Shahryar Sorooshian Fuzzy Approach to Statistical Control Charts Journal of Applied Mathematics |
| title | Fuzzy Approach to Statistical Control Charts |
| title_full | Fuzzy Approach to Statistical Control Charts |
| title_fullStr | Fuzzy Approach to Statistical Control Charts |
| title_full_unstemmed | Fuzzy Approach to Statistical Control Charts |
| title_short | Fuzzy Approach to Statistical Control Charts |
| title_sort | fuzzy approach to statistical control charts |
| url | http://dx.doi.org/10.1155/2013/745153 |
| work_keys_str_mv | AT shahryarsorooshian fuzzyapproachtostatisticalcontrolcharts |