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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2013
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf |
| _version_ | 1825821822969446400 |
|---|---|
| author | Sorooshian, Shahryar |
| author_facet | Sorooshian, Shahryar |
| author_sort | Sorooshian, Shahryar |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T11:47:21Z |
| format | Article |
| id | UMPir6731 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:47:21Z |
| publishDate | 2013 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | UMPir67312018-02-28T02:10:40Z http://umpir.ump.edu.my/id/eprint/6731/ Fuzzy Approach to Statistical Control Charts Sorooshian, Shahryar T Technology (General) 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. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf Sorooshian, Shahryar (2013) Fuzzy Approach to Statistical Control Charts. Journal of Applied Mathematics, 2013 (745153). pp. 1-6. ISSN 1110-757X (print); 1687-0042 (online). (Published) http://dx.doi.org/10.1155/2013/745153 DOI: 10.1155/2013/745153 |
| spellingShingle | T Technology (General) Sorooshian, Shahryar Fuzzy Approach to Statistical Control Charts |
| 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 |
| topic | T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf |
| work_keys_str_mv | AT sorooshianshahryar fuzzyapproachtostatisticalcontrolcharts |