Relationship with SN Ratio - Larger-the-better Characteristics with Finite Target Missouri University of Science and Technology

Format:

Conference/Event

Author/Creator:

Sharma, N. K. (Naresh K.), author.

Conference Name:

SAE World Congress & Exhibition (2009-04-20 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2009-01-0791

Access Restriction:

Restricted for use by site license