q2_matrix_exp_soln

q2_matrix_exp_soln - 16.881 Robust System Design Solution...

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16.881 – Robust System Design Solution to Quiz #2 Matrix Experiments 1) Does the following matrix experiment have the balancing property with respect to control factors A and B? Yes. All levels of B are equally represented at each level of A. 2) Does the following matrix experiment have the balancing property with respect to control factors B and C? Yes. This one is slightly harder to see right away, but all levels of B are equally represented at each level of C. 3) Does the following matrix experiment have the balancing property with respect to control factors A and D? NO. All levels of D are not equally represented at each level of A. For example, rows 4-6 are all the rows with level A2. In these rows we have D2 twice, D1 once and no instance of D3. 4) Is the matrix an orthogonal array? NO. If any pair of columns in a matrix experiment are not orthogonal, then the matrix is not orthogonal. Columns A and D have neither the balancing property nor proportional balancing. Hence they are not orthogonal. Also, we can check the inner product of the contrast of the two columns directly. Since the inner product is non- zero, the matrix is not orthogonal − 1 − 1 1   0   − 1   1   0   0   0 1 = 1 + 0 1 + 0 + 0 + 0 + 1 + 1 1 = − 1 0   0   1   1 1   1   1 1 Control Factors Expt. No. A B C D 1 1 1 1 1 2 1 2 2 2 3 1 3 3 3 4 2 1 2 2 5 2 2 3 1 6 2 3 1 2 7 3 1 3 3 8 3 2 1 3 9 3 3 2 1
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5) After completing a matrix experiment, if an additive (factors separable) model holds, and one wishes to maximize the S/N ratio, one should a) Select the control factor settings in the row of the array corresponding to the experiment with the highest response. b) Select the noise factor levels that maximize the inner product of the array.
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This note was uploaded on 11/08/2011 for the course AERO 16.851 taught by Professor Ldavidmiller during the Fall '03 term at MIT.

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q2_matrix_exp_soln - 16.881 Robust System Design Solution...

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