This document discusses design of experiments (DOE) and provides examples of how it can be applied. It introduces different types of experimental designs including single-factor, factorial, fractional factorial designs. It also discusses screening experiments to identify important factors and response surface methodology for optimization. Examples are provided on how to design a golf experiment to optimize a player's score using DOE techniques.

1. 實 驗 設 計 Design of Experiments 洪弘祈 , Ph.D. 朝陽科技大學工業工程與管理系副教授

6. The two-factor factorial design for the golf experiment (I)

18. Blank Sheet (I)_Response Variables relationship of response variable to objective meas. precision, accuracy How known? normal operating level & range response variable (units)

19. Blank Sheet (II)_Control Variables Predicted Effects (for various Responses) Proposed settings, based on predicted Effects meas. precision & setting error How known? normal level & range control variable (units)

20. Blank Sheet (III)_ ”Held Constant” Variables anticipated effects how to control (in experiment) measurement precision How known? Desired experimental level & allowable range factor (units)

21. Blank Sheet (IV)_Nuisance Factors anticipated effects strategy (e.g., randomization, blocking, etc.) measurement precision How known? nuisance factor (units)

22. Blank Sheet (V)_Interactions 7 6 5 4 3 2 1 7 6 5 4 3 2 1 Control Variables