Date of Award
8-2003
Degree Name
Master of Science
Department
Industrial and Entrepreneurial Engineering and Engineering Management
First Advisor
Dr. Leonard Lamberson
Second Advisor
Dr. Abdolazim Houshyar
Third Advisor
Dr. Steven Butt
Access Setting
Masters Thesis-Open Access
Abstract
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.
Recommended Citation
Lee, Jinsuk, "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). Masters Theses. 4764.
https://scholarworks.wmich.edu/masters_theses/4764