Muhammad JavedSP16-RST-001LHR TP 5249Dr. Tajammal Hussain2026-04-022018https://repository.cuilahore.edu.pk/handle/123456789/3161Statistical process control (SPC) is an approaching path that analyzes processes despite the fact whether they are under statistical control or out of control. So, Control charts are commonly employed for this purpose. Possibly, sample data may possess some uncertainties occurring owing to systems of measurement and conditions of the surrounding environment, for this purpose fuzzy numbers or language variables are usable to seize such form of uncertainties. Thereby, the well-known control charts, exponentially weighted moving average control chart (EWMA) to univariate data are formed up under the environment that is fuzzy one. The fuzzy EWMA control charts (FEWMA) are also usable in order to detect minute changes in the data presented by fuzzy numbers. FEWMA lessens various mistaken and unreliable decisions by catering further flexibleness upon the control limits. As far as the production process is monitored and controlled by dint of FEWMA control chart.enDr. Tajammal Hussainsp16Department of StatisticsSOCIAL SCIENCES::Statistics, computer and systems science::StatisticsStatistical process control (SPC)environment that is fuzzy one. The fuzzy EWMAThesis