Analysis of Traditional and Fuzzy Quality Control Charts to Improve Short-Run Production in the Manufacturing Industry

Quality control charts are limited to controlling one characteristic of a production process, and it needs large amount data determine limits the process. Another limitation traditional chart is that doesn’t deal with vague environment. The fuzzy work uncertainty exists in data. Also, investigate random variations found between samples. In modern industries, productivity often different designs small volume depends on market need for demand (short-run production) implemented same type machines units. such cases, difficult operations carried out machines. This aims compare short-run production. case, collected were processed using (Minitab 21) software. It was more flexible accurate determining machine under study. deviation from nominal showed false alarm observation (15) as out-of-control, while (DNOM) these observations control. standard process dropped (σ =0.209041) =0.204401) after chart.