Noise factors, dispersion effects, and robust design

David M. Steinberg*, Dizza Bursztyn

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Scopus citations


There has been great interest recently in the use of designed experiments to improve quality by reducing the variation of industrial products. A major stimulus has been Taguchi's robust design scheme, in which experiments are used to detect factors that affect process variation. We study here one of Taguchi's novel ideas, the use of noise factors to represent varying conditions in the manufacturing or use environment. We show that the use of noise factors can dramatically increase power for detecting factors with dispersion effects, provided the noise factors are explicitly modeled in the subsequent analysis.

Original languageAmerican English
Pages (from-to)67-85
Number of pages19
JournalStatistica Sinica
Issue number1
StatePublished - Jan 1998
Externally publishedYes


  • Interactions
  • Off-line QC
  • Parameter design
  • Product array experiments
  • Quality improvement
  • Taguchi methods
  • Transmitted variation


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