Abstract
Control chart pattern identijication is an important aspect of statistical process control (SPC). In the conventional use of SPC, the user may just need to know whether or not the process is out - of control. What actions should be taken to adjust the process is uncertain. This is a major drawback of control charts and as a consequence the user can not employ SPC technique to automatically control the process. This paper provides a new Fuzzy - SPC evaluation and control method. Fuzzy logic is applied to control charts to create a fuzzy inference system using the Fuzzy Logic Toolbox in MATUB. DifSerent membership functions were chosen and their fuzzy control bases were generated as outputs of a fuzzy inference system based on zone rules. They are executed in a simulation system written in Visual C++. The results of adjusted and controlled SPC charts are displayed on the screen. Analysis of the effect of changing the membership function is presented.
| Original language | English |
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| Title of host publication | IEEE Symposium on Emerging Technologies and Factory Automation, ETFA |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 679-684 |
| Number of pages | 6 |
| Volume | 2 |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'99) - Barcelona, Spain Duration: 18 Oct 1999 → 21 Oct 1999 |
Conference
| Conference | Proceedings of the 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'99) |
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| City | Barcelona, Spain |
| Period | 18/10/99 → 21/10/99 |