Date of Award
Master of Science
Industrial and Entrepreneurial Engineering and Engineering Management
Dr. Leonard Lamberson
Dr. Abdolazim Houshyar
Dr. Steven Butt
Masters Thesis-Open Access
The concept of parameter design developed by Taguchi to achieve robust engineering is widely promoted in industry as a means to design a product whose output is largely immune to noise in the system. Taguchi has used the signal-to-noise (S/N) ratio to summarize measures over the noise factor settings at the parameter design and to allow control of the experiment.
The objectives of this investigation are: 1) to infer distributions of S/N ratios (lower-the-better S/N, higher-the-better S/N, and nominal-the-best SIN), and 2) to determine the effectiveness of the S/N ratio as a means for identifying changes in the mean and /or the variance in designed experiments based on orthogonal array.
Results show that gamma distribution was best fit distribution for the lower-the- better S/N and the nominal-the-best S/N, while beta distribution was the best fit distribution for the higher-the-better S/N. It was also found that a change in the mean of a factor leads to a negative change for the lower-the-better S/N and a positive change for the higher-the-better S/N and the nominal-the-best S/N; a change in the variance of a factor leads to a negative change for the nominal-the-best S/N only.
Lee, "Evaluation of the Distribution of Taguchi's Signal-to-Noise Ratio and the Effectiveness of the Signal-to-Noise Ratio for Detecting Changes in the Mean and/or Variance" (2003). Master's Theses. 4764.