| 摘要 |
A method for a systematic approach to forming experimental designs for large, complex systems after an idea for a product is formed. Critical variables for the product are determined by experts in the field, a design matrix U<SUB>k </SUB>is defined, a base design matrix X is generated, Y(P)=(I-B(B<SUP>T</SUP>B)<SUP>-1</SUP>B<SUP>T</SUP>)[(XP)//U]A & Wynn's criterion is defined, where P is a permutation matrix, I is an identity matrix, B is a blocking matrix, B<SUP>T </SUP>is a transposed matrix of B and A is a matrix composed of causal map-based coefficients and wherein a design matrix U<SUB>k </SUB>is created. The index k<-k+1 is set and an algorithm to choose the best of random column permutation matrices P and an algorithm to choose the best column permutation matrix P that is near a previous solution and setting U<SUB>k</SUB><-[XP<SUP>k </SUP>with rows from U<SUB>k-1 </SUB>appended].
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