Robust Tolerance Design by Response Surface Methodology |
| |
Authors: | A. Jeang |
| |
Affiliation: | (1) Department of Industrial Engineering, Feng Chia University, Taichung, Taiwan, Republic of China, CN |
| |
Abstract: | The Response Surface Methodology (RSM) approach is adopted for data analysis for an experimental model in order to determine the optimal component tolerances in an assembly. The response variable is the total cost, which consists of quality loss and tolerance cost. RSM is a combination of mathematical and statistical techniques, which provides designers, not only with the optimal tolerance values, but also with the critical components in an assembly. This feature is very important during the design activities since it enables designers to have feedback and suggestions for possible design improvement. Using RSM to optimise and analyse the experimental results, a tolerance design for quality improvement and cost reduction can be achieved at an early stage of design, particularly, in an uncertain design environment. |
| |
Keywords: | .Cost Design Optimisation Quality Response surface methodology (RMS) Tolerance Robust |
本文献已被 SpringerLink 等数据库收录! |
|