An analytic approach to the relationship of axiomatic design and robust design

The relation between two axioms in axiomatic design and robust design has been discussed thoroughly, and the inherent connection is revealed which indicates that the design satisfying the above two axioms is more robust. Furthermore, for some typical statistical distribution forms of product's quality characteristic, the mathematical relationship between the information content and quality loss as well as the relationship between information content and signal-to-noise ratio has been established. The virtue of axiomatic design for improving product quality is also promoted. In the end, some practical examples are provided to demonstrate the consistency of robust design and axiomatic design.

[1]  Madhan Shridhar Phadke,et al.  Quality Engineering Using Robust Design , 1989 .

[2]  Genichi Taguchi,et al.  Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream , 1992 .

[3]  Peder Andersson,et al.  A semi-analytic approach to robust design in the conceptual design phase , 1995 .

[4]  Farrokh Mistree,et al.  A Compromise Decision Support Problem for Axiomatic and Robust Design , 1995 .

[5]  Farrokh Mistree,et al.  A procedure for robust design: Minimizing variations caused by noise factors and control factors , 1996 .

[6]  Peder Andersson,et al.  On Robust Design in the Conceptual Design Phase: A Qualitative Approach , 1997 .

[7]  Ke-Zhang Chen Identifying the Relationship among Design Methods: Key to Successful Applications and Developments of Design Methods , 1999 .

[8]  Wei Chen,et al.  Quality utility : a Compromise Programming approach to robust design , 1999 .

[9]  Kai Yang,et al.  The components of complexity in engineering design , 1999 .

[10]  Daniel D. Frey,et al.  Computing the Information Content of Decoupled Designs , 2000 .

[11]  David S. Cochran,et al.  Reviewing TRIZ from the perspective of Axiomatic Design , 2000 .

[12]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[13]  Jin Wang,et al.  Taguchi concepts and their applications in marine and offshore safety studies , 2001 .

[14]  Kwon-Hee Lee,et al.  Robust optimization considering tolerances of design variables , 2001 .

[15]  Chun-Liang Lin,et al.  Robust design of the lift-gate opening/closing efforts , 2002 .

[16]  Gyung-Jin Park,et al.  Robust design of a vibratory gyroscope with an unbalanced inner torsion gimbal using axiomatic design , 2003 .

[17]  Chiuh-Cheng Chyu,et al.  Optimization of robust design for multiple quality characteristics , 2004 .

[18]  Park Gyung-Jin,et al.  Calculation of Information Contents in Axiomatic Design , 2004 .

[19]  Zhang Wu,et al.  Optimization design of control charts based on Taguchi's loss function and random process shifts , 2004 .

[20]  S. Spiewak,et al.  A New Approach for Robust Design of Mechanical Systems , 2004 .

[21]  Suh Nam-pyo,et al.  Complexity: Theory and Applications , 2005 .

[22]  Xue Long Robust Design of Sliding Bearing Based on DPS , 2005 .

[23]  J. Angeles,et al.  A Model-Based Formulation of Robust Design , 2005 .