An optimization design of the exponentially weighted moving average control chart

Statistical Process Control (SPC) charts are generally utilized in detecting process shifts to guarantee the product quality. The Exponentially Weighted Moving Average (EWMA) control charts indicate better performance in detecting small shifts in process parameters. This study presents a model for the optimization design of the EWMA chart monitoring process mean. The optimization model aims to limit the aggregate expected cost including sampling cost and quality cost based on random process shift. The model has been created and the performance of the proposed EWMA chart has been compared with that of a traditional EWMA chart.