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Development of Advanced Dimensional Control Method for Design for Six Sigma (DFSS)
Technical Paper
2007-01-0536
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The concept of design for six sigma (DFSS) offers a framework to design a product and process right the first time. In general, Taguchi's robust design method has been widely adapted in design optimization, which is a critical phase in any DFSS projects. The objective of the paper is to develop an advanced strategy in selecting an optimized product design and manufacturing process that should be insensitive to various multivariate variation patterns of the multi-stage manufacturing system. A Monte Carlo variation simulation based method is presented that integrates Mohalanobis Distance (MD) method, a discriminant analysis technique, to analyze the manufacturing variation patterns detected by using the multivariate statistical tool, such as principal component analysis (PCA). The proposed method will be explained with an example of an automotive assembly.
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Authors
Topic
Citation
Zhang, B., "Development of Advanced Dimensional Control Method for Design for Six Sigma (DFSS)," SAE Technical Paper 2007-01-0536, 2007, https://doi.org/10.4271/2007-01-0536.Also In
Six Sigma and Reliability and Robust Design in Automotive Engineering
Number: SP-2071; Published: 2007-04-16
Number: SP-2071; Published: 2007-04-16
References
- Chowdhury, S. Design for Six Sigma: the Revolutionary Process for Achieving Extraordinary Profits Dearborn Trade Publishing 2002
- Introduction to Monte Carlo Methods Computational Science Education Project http://csep1.phy.ornl.gov/mc/mc.html 2003
- DCS-3D Software Dimensional Control System Troy, Michigan, USA 2003
- Hu, S. J. Wu, S. M. “Identifying Sources of Variation in Automobile Body Assembly Using Principle Component Analysis.” Transactions of NAMRI/SME 311 316 1992
- Yang, K. “Improving Automotive Dimensional Quality by Using Principle Component Analysis.” Quality and Reliability Engineering International 12 401 409 1996
- Minitab Software and Manual Minitab Inc., State College PA, USA 2003