Saeed Khaki - Industrial Engineering and Management Systems Department Amirkabir University of Technogy ,Tehran,Iran
Niloufar Ghanbari - Industrial Engineering and Management Systems Department Amirkabir University of Technogy,Tehran,Iran
Mir Mahdi Seyed Esfehani - Industrial Engineering and Management Systems Department Amirkabir University of Technogy,Tehran,Iran Associate Professor

In recent years several studies have shown that ̅ control charts with adaptive schemes or double sampling plans detect both small and moderate shifts in the process mean more quickly than the traditional Shewhart ̅ chart. In the classical double sampling ̅ chart, the difference between two points were placed in the central region of first stage was not considered. In this study, a new control chart is proposed by combination of double sampling ̅ chart and variable sample size ̅ chart (called DSVSS chart), that can successfully reduce the detection time of small mean shift. Before a DSVSS ̅ chart is used, its design parameters should be determined, hence economic design model of DSVSS ̅ chart is constructed. Markov chain approach is used to compute the statistical properties of the chart that are essential to our cost function. Then, the Genetic Algorithms (GA) are used to solve the optimal designs of DSVSS ̅ chart. Finally, a numerical example is provided to illustrate the use of this model

Quality control, Double sampling chart, Variable sample size chart, Markov chain, Genetic algorithms