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Abstract
Process capability analysis often entails characterizing or assessing processes or products based on more than one engineering specification or quality characteristic. When these variables are related characteristics, the analysis should be based on a multivariate statistical technique. In this expository paper, three recently proposed multivariate methodologies for assessing capability are contrasted and compared. Through the use of several graphical and computational examples, the information summarized by these methodologies is illustrated and their usefulness is discussed.
Additional information
Notes on contributors
F. K. Wang
Dr. Wang is an Assistant Professor of Business Administration. He is a Member of ASQ.
Norma F. Hubele
Dr. Hubele is a Professor of Engineering. She is a Member of ASQ. Her email address is [email protected].
Frederick P. Lawrence
Dr. Lawrence is an Industrial Affiliate in the College of Engineering and Applied Sciences. He is a Member of ASQ.
John D. Miskulin
Mr. Miskulin is a Manager, ITRON, Spokane, WA. He is a Member of ASQ.
Hamid Shahriari
Dr. Shahriari is an Assistant Professor of Industrial Engineering.
