Abstract
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.
Recommended Citation
N. K. Sharma et al., "Design Complexity and its Relationship with SN Ratio - Larger-the-better Characteristics with Finite Target," SAE Technical Papers, SAE International, Jan 2009.
The definitive version is available at https://doi.org/10.4271/2009-01-0791
Department(s)
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
2688-3627; 0148-7191
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 SAE International, All rights reserved.
Publication Date
01 Jan 2009
