Designing Outer Array Points

Abstract

Taguchi's product-array design consists of two portions: an inner array containing the design factors and an outer array containing noise factors. The function of the outer array is very different from that of the inner array, however. The outer array is most likely to sample or simulate the distribution of the noise factors, while the inner array is designated to facilitate the optimization. Since performance for each inner point is evaluated via its corresponding outer array points, the outer array plays an important role in robust design. We show here that the optimal representative point method via quantizer is superior to using other methods (including orthogonal array) to design outer array points. All optimal representative points are tabulated for practical use. The usage of these tables is demonstrated by examples.

• Fractional Factorial Designs
• Orthogonal Array
• Performance Measures

Additional information

Notes on contributors

Yuchung Wang

Dr. Wang is an Associate Research Fellow in the Institute of Statistical Sciences and an Associate Professor of Statistics.

Dennis K. J. Lin

Dr. Lin is an Associate Professor of Statistics. He is a member of ASQC.

Kai-Tai Fang

Dr. Fang is a Research Professor in the Institute of Applied Mathematics and a Professor of Mathematics.