Example of Create Response Surface Design (Central Composite)

A scientist wants to conduct an experiment to maximize crystal growth. Previous research has determined that catalyst exposure time, catalyst percentage, and temperature explain much of the variability in crystal growth.

The scientist generates the default central composite design for three factors and two blocks, assigns the factor levels, and randomizes the design.

  1. Choose Stat > DOE > Response Surface > Create Response Surface Design.
  2. Under Type of Design, select Central composite.
  3. From Number of continuous factors, select 3.
  4. Click Designs.
  5. Select the second design (full design with 20 runs and 2 blocks) in the white box, and then click OK.
  6. Click Results. Select Summary table and design table.
  7. Click OK in each dialog box.

Interpret the results

The first table gives a summary of the design, which includes the total number of factors, runs, blocks, and replicates.

The design table displays the factor settings for each experimental run using coded factor names and levels. For example, in the first run, Factor A and Factor C are at level 1 and Factor B is at level −1. With 3 factors, the design has 20 runs. In the worksheet, Minitab displays the names of the factors and the uncoded levels.

Note

Minitab randomizes the design by default, so when you create this design, the run order will not match the order in the example output.

Design Summary

Factors:3Replicates:1
Base runs:20Total runs:20
Base blocks:2Total blocks:2
α = 1.633
Two-level factorial: Full factorial

Point Types

Cube points:8
Center points in cube:4
Axial points:6
Center points in axial:2

Design Table (randomized)

RunBlkABC
111.000-1.0001.000
21-1.000-1.000-1.000
311.000-1.000-1.000
41-1.000-1.0001.000
511.0001.0001.000
61-1.0001.0001.000
71-1.0001.000-1.000
810.0000.0000.000
911.0001.000-1.000
1010.0000.0000.000
1110.0000.0000.000
1210.0000.0000.000
1320.0000.0000.000
1421.6330.0000.000
1520.0000.0000.000
1620.000-1.6330.000
1720.0000.000-1.633
182-1.6330.0000.000
1920.0001.6330.000
2020.0000.0001.633