Statistical Methods in Production
|Course Direction:||Pool Courses|
Introduction. General Factorial Design of Experiments and Two-Level Factorial Design. Basic Principles. Definitions, Nomenclature and Symbols. Main Effects and Interactions. Calculation Methods for Two-Level Factorial Design. Practical Significance. Two-Level Fractional Factorial Design. Statistical Inference. Statistical Hypotheses - Need for Randomization. Confidence Intervals. Analysis of Variance (ANOVA). Second-Order Factorial Designs. Composite Design. Orthogonal Design. Non-Orthogonal Symmetrical Design of Experiments. Empirical Models. Optimization.