Using Preferred Columns to Design Experiments


Roslund, Jerry L.   (1989, ASQC)   Saturn Corp., Troy, MI

Annual Quality Congress, Toronto, Ontario, Canada    Vol. 43    No. 0
QICID: 3631    May 1989    pp. 619-624
List $10.00
Member $5.00

This article is not available online. Contact us to receive a scan of the archive, in PDF format.

Article Abstract

Factorial experiments are powerful statistical methods to find the optimal combinations of several factors, especially when interactions are present. Fractional factorials are economical because three-factor and higher order interactions are traded for knowledge of more factors. However, this can lead to confounding difficulties that distort our view of the main effects. This paper describes a novel approach for designing factorial experiments using preferred columns in Taguchi-ordered orthogonal arrays.

Preferred Columns give the highest resolution (least confounding) for a given number of factors in an array. They are identified by geometric symbols that correspond to the number of factors being studied. This method greatly simplifies the setup of experiments because you only need to count the number of factors and then assign them to the Preferred Columns. The preferred columns cover designs from a full factorial to a saturated design depending on how many factors are loaded into the array.



Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers

ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.