2011ASME Press eBooksRequires access

Taguchi-Class Experimental Design Methods and Applications

Teruo Mori

Open publisher page 1 citations

Abstract

Quality engineering is associated with Taguchi-class experimental design methods, which are based on elegant and sophisticated orthogonal arrays and the associated analysis of variance. Some mixture-type orthogonal arrays like the L12(211), L18(2137), and L36(211312) have been widely used since the 1950s, while other arrays such as the L8(27), L16(215), L9(34), L27(313), and L32(231) have been applied in industry since 1985. Currently, the 18 run L18(2137) and the 16 run L16(215) arrays are the most popular experimental design matrices of all Taguchi-class orthogonal arrays. In Dr. Genichi Taguchi's experimental design textbook (Design of Experiments, 3rd Edition, 1976; published by the Maruzen Publication Co.), 16 out of all 40 case studies were based on the L16(215) array, nine were based on the L8(27) array, seven on the L27(313) array, five on the L9(34) array, one case study was based on the L32(231), and none were based on either the L12(211) or the L18(2137).

About this research paper

What this paper is about

Quality engineering is associated with Taguchi-class experimental design methods, which are based on elegant and sophisticated orthogonal arrays and the associated analysis of variance. Some mixture-type orthogonal arrays like the L12(211), L18(2137), and L36(211312) have been widely used since the 1950s, while other arrays such as the L8(27), L16(215), L9(34), L27(313), and L32(231) have been applied in industry since 1985. Currently, the 18 run L18(2137) and the 16 run L16(215) arrays are the most popular experimental design matrices of all Taguchi-class orthogonal arrays. In Dr. Genichi Taguchi's experimental design textbook (Design of Experiments, 3rd Edition, 1976; published by the Maruzen Publication Co.), 16 out of all 40 case studies were based on the L16(215) array, nine were based on the L8(27) array, seven on the L27(313) array, five on the L9(34) array, one case study was based on the L32(231), and none were based on either the L12(211) or the L18(2137).

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Quality engineering is associated with Taguchi-class experimental design methods, which are based on elegant and sophisticated orthogonal arrays and the associated analysis of variance. Some mixture-type orthogonal arrays like the L12(211), L18(2137), and L36(211312) have been widely used since the 1950s, while other arrays such as the L8(27), L16(215), L9(34), L27(313), and L32(231) have been applied in industry since 1985. Currently, the 18 run L18(2137) and the 16 run L16(215) arrays are the most popular experimental design matrices of all Taguchi-class orthogonal arrays. In Dr. Genichi Taguchi's experimental design textbook (Design of Experiments, 3rd Edition, 1976; published by the Maruzen Publication Co.), 16 out of all 40 case studies were based on the L16(215) array, nine were based on the L8(27) array, seven on the L27(313) array, five on the L9(34) array, one case study was based on the L32(231), and none were based on either the L12(211) or the L18(2137).

Key concepts: Orthogonal array, Taguchi methods, Class (philosophy), Design of experiments, Mathematics, Materials science, Computer science, Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Taguchi-Class Experimental Design Methods and Applications — Research Paper | ScholarLens