A Review of Fuzzy Techniques for Statistical Control Charts

摘要

Statistical control charts are useful tools in monitoring the sate of a manufacturing process. Control charts are used to plot process data and compare it to the limits set for the process. Points plotting outside these limits indicate an out-of-control condition. Standard control charting procedures, however, are limited in that they cannot take into account the case when data is of a fuzzy nature. Another limitation of standard charting methods is when the data produced by the process is short-run data. Often, the situation where the data is short-run occurs in conjunction with data that is considered fuzzy. This paper sumarizes the most relevant published applications of fuzzy sets to statitsical quality control.