Abstract
Control charts are the tools used to identify the out-of-control process in the manufacturing industries. The traditional control charts usually deal with crisp data, but in real-life situations, data may be unclear. In this situation, a Fuzzy control chart is the best option to represent for evaluating whether the process is in control. In order to detect smaller shifts, the Fuzzy Exponentially Weighted Moving Average Control Chart (FEWMA) and Fuzzy CUSUM Control are the best tools. In this paper, application perspective discussions on the Fuzzy EWMA Control chart for detecting smaller shifts and fuzzy CUSUM control charts in the manufacturing industries with detailed illustrations.
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