Relationship with SN Ratio - Larger-the-better Characteristics with Finite Target 2009-01-0791
The concept of complexity is an essential constituent of axiomatic design and axiomatic quality. A reciprocal transformation is used to compute quality loss for larger-the-better performance characteristics in Taguchi’s methodology. El-Haik’s work on connecting robust design and axiomatic design with the help of mathematical relationships also considers the reciprocal methodology for larger-the-better functional requirements. Because of reciprocal transformation axiomatic complexity formulation for larger-the-better performance characteristics is different from that for smaller-the-better and nominal-the-best characteristics. Second, the signal-to-noise ratio based on complexity is also different for the same reason. This paper shows that a simple linear transformation in which a finite target is assumed can give more appropriate and comparable signal-to-noise ratio based on complexity for larger-the-better characteristics. Mathematical relationships are given and an example is employed to demonstrate the proposed methodology.
Citation: Sharma, N., Cudney, E., and Sharma, S., "Relationship with SN Ratio - Larger-the-better Characteristics with Finite Target," SAE Technical Paper 2009-01-0791, 2009, https://doi.org/10.4271/2009-01-0791. Download Citation
Author(s):
Naresh K. Sharma, Elizabeth A. Cudney, Sonali Sharma
Affiliated:
Missouri University of Science and Technology
Pages: 6
Event:
SAE World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Reliability and Robust Design in Automotive Engineering, 2009-SP-2232
Related Topics:
Design processes
Mathematical analysis
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