Economic and Economic-Statistical Designs of MEWMA Control Charts: A New Meta-Heuristic Approach

method for Lorenzen-Vance cost function and mentioned that this method does not guarantee convergence to the global optimal solution.These examples shows that using a powerful search based algorithm can help for achieving a global solution for the Lorenzen-Vance cost function. In this paper the models of both the economic and the economicstatistical design problems of MEWMA control charts are solved by the particle swarm optimization (PSO) approach [5]. The comparison study between the economic and the economic-statistical designs shows better statistical performances of the economic-statistical design with negligible increase in cost. Furthermore, in order to demonstrate the application of the proposed methodology and to evaluate its performances, a comparison study to Hooke and Jeeves [6] method is performed. The results show that the PSO leads to better performances. At the end some sensitivity analysis on the main control chart and the cost function parameters are presented.

کلیدواژه ها:

Control Chart ، MEWMA ، Economic Design ، Economic Statistical Design ، Particle Swarm Optimization