Optimization of the new DS-u control chart: an application of genetic algorithms

Authors:
Elena Perez;Andres Carrion;Jose Jabaloyes;Francisco Aparisi
Affiliations:
Department of Applied Statistics OR and Quality, Universidad Politécnica de Valencia, Valencia, Spain;Department of Applied Statistics OR and Quality, Universidad Politécnica de Valencia, Valencia, Spain;Department of Applied Statistics OR and Quality, Universidad Politécnica de Valencia, Valencia, Spain;Department of Applied Statistics OR and Quality, Universidad Politécnica de Valencia, Valencia, Spain
Venue:
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
Year:
2010

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Abstract

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.