Modern Developments in Optimization Model based on Generalized Confidence Interval Method
نویسنده
چکیده
Optimization methods have been widely applied in statistics. Among them, capability measuring techniques are widely applied in industries. Process Capability Indices (PCIs) have been proposed for measuring process production capability. This paper concentrates, the lower and upper confidence limits for the PCIs are obtained from generalized pivotal quantity of random model and also, use this confidence interval, the decision variables would seem to monitor the capability of production process of linear programming models and find the solution of the accepted models. Keywords— Process Capability Indices (PCIs), generalized confidence interval, generalized pivotal quantity, Linear Programming Model (LPM).
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