• Experiment—A sampling event whose purpose is to obtain design goals for a particular combination of design variables.

• Master table—A table that contains records of all experiments conducted within the specified range of design variables (dimensions).

• Sampling Method—Two methods of sampling are available:

◦ Automatic—A sampling method that allows the selection and deletion of design variables (dimensions and parameters) and setting their minimum and maximum values. It also allows the setting up of user-defined and system defined increment values for the design variables.

◦ Manual—A sampling method that allows the selection and deletion of design variables manually. It also allows the All combinations or One per row method to determine the number of experiments to be conducted for the design study.

• Derived table—A table that is derived from a parent table using a particular method (Constraints or Pareto) for selecting experiments that satisfy certain conditions.

• Constraints method—A method for creating a derived table by specifying a minimum or maximum value for each selected design goal. The system examines the parent table to find experiments that satisfy the conditions

• Pareto method—A method for creating a derived table by selecting design goals that you want to optimize (minimize or maximize). The system examines the parent table to find experiments whose results fall within an optimal range. This method can give you multiple optimal solutions: while one solution gives the best result for one goal, the other solution yields a better result for another goal. Because none of the Pareto solutions is better then the others, the system lets you decide which one is more preferable to you.