Author/Authors :
Safaeia، Abdul Sattar نويسنده Department of Industrial Engineering, Babol University of Technology, P.O. Box 47148 - 71167, Babol, Iran Safaeia, Abdul Sattar , Jahantigh، Farzad Firouzi نويسنده Department of Industrial Engineering, assistant professor, Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran Jahantigh, Farzad Firouzi
Abstract :
In this research, a bi-objective model for the economic-statistical design of the X-bar and S
control charts is proposed. The model minimizes out-of-control average time to signal as
well as minimizing mean hourly loss-cost where it incorporates the Taguchi loss function.
A statistical constraint is considered in the model to achieve the desired in-control time to
signal. A non-dominated sorting genetic algorithm is developed to obtain the pareto
optimal scheme of the control chart. Sensitivity analysis and comparison study with
traditional economic models presents that the proposed bi-objective design of X-bar and S
control chart ensures a better approach to improve the quality system and increase the plans
ease of use.