Manufacturing Systems Simulation

Graduate

Discrete-event system simulation. Random number generation. Stochastic variate generation. Input parameters; identification and estimation. Output analysis. Static and dynamic output analysis; initial and final conditions; measures of performance and their variance estimation; confidence interval. Design of experiments. Various sampling techniques. Single and multifactor designs. Fractional designs. 180 Winter 2027 Academic Calendar Response surfaces. Regeneration method for simulation analysis; Monte Carlo optimization. (3 lecture hours a week.)