Optimization of the new DS-u control chart. An application of Genetic Algorithms.

摘要

Quality control is one of the most used statistical applications in industry. The control of attribute quality characteristics is a subject of study due to the need of improving the efficiency of the charts. The present paper deals with the improvement of the classical u chart, using the Daudin strategy, based in a double sampling scheme and a variable sample size. The DS-u chart is proposed. To optimize the performance of this new chart, a software tool was developed, using Genetic Algorithms to obtain optimal DS-u chart designs that maximize the power increase of the chart (compared to the classical u chart) using a mean sample size lower to the size used by the classic chart.