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The Value of Joint Customer and Supplier Quality Function Deployment (QFD) and Design for Six Sigma (DFSS) Toolset Applications
Technical Paper
2008-01-0360
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The purpose of this paper is to show the power of joint ownership between suppliers and customers to create a superior product for the end user. This effort translates into competitive advantages for all parties involved in the learning. The advantages of the customer and supplier working together through the Quality Function Deployment (QFD) and the “Design for Six Sigma” DFSS methodology will be discussed.
DFSS is a design approach and tool set which is typically applied to new concepts or future creations. This paper will highlight how the same tool set is utilized to make an existing no clean solder paste formulation robust to changes in raw materials.
• DFSS QFD Toolsets which were used included:
- House of Qualities
- Balanced Scorecard
- Desirability Curve
- Measurement System Evaluation (MSE)
- Regression
Through the application of DFSS the team was able to break the 5σ wall for solder paste performance in automotive electronics assembly processes.
Other unique topics discussed are Mixture DOE (Design of Experiments) strategies, their application, and their comparison to classical DOE strategies in a complex material formulation. The mixture design incorporated over 20 outputs (Y's) over 7 factors (X's). This enabled the team to maximize the solder paste formulation for desirability, and achieve minimum risk and variability.
The paper will also address the issues involved with large scale projects and how this joint effort broke the project down into manageable pieces through the creation of sub-projects. This approach enabled the team to remove internal and external barriers through effective project communication.
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Authors
Citation
Sanftleben, H., Lewis, L., Stark, K., Young, M. et al., "The Value of Joint Customer and Supplier Quality Function Deployment (QFD) and Design for Six Sigma (DFSS) Toolset Applications," SAE Technical Paper 2008-01-0360, 2008, https://doi.org/10.4271/2008-01-0360.Also In
Reliability and Robust Design in Automotive Engineering, 2008
Number: SP-2170; Published: 2008-04-14
Number: SP-2170; Published: 2008-04-14
References
- Kaplan R. Norton D. 1996 The Balanced Scorecard HBS Press Boston, MA
- Cornell, John A. 2002 Experiments with Mixtures Designs, Models, and the Analysis of Mixture Data 3rd John Wiley and Sons, Inc.
- Minitab Inc. “Mixtures Designs”