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Quality Engineering Using Robust Design and Analysis

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Industrial Statistics

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The concept of quality engineering is introduced, and the role of robust design is explained. Also the relationship between quality engineering and quality management is presented. Six steps of parameter design, which is the major part of robust design, are suggested, and an illustrated real case study at a Korean company is discussed to explain the six steps.

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References

  1. Logothetis, N. and Wynn, H.P. (1989) Quality through Design: Experimental Design, Off-line Quality Control and Taguchi’s Contributions. Oxford, Clarendon Press.

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  2. Park, S. H. (1996) Robust Design and Analysis for Quality Engineering. London, Chapman & Hall.

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  3. Phadke, M.S. (1989) Quality Engineering Using Robust Design. Englewood Cliffs, N.J., Prentice hall.

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  4. Taguchi, G. (1986) Introduction to Quality Engineering. Tokyo, Asian Productivity Organization.

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© 1997 Springer-Verlag Berlin Heidelberg

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Park, S.H., Kim, J.J. (1997). Quality Engineering Using Robust Design and Analysis. In: Kitsos, C.P., Edler, L. (eds) Industrial Statistics. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-59268-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-59268-3_1

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1042-4

  • Online ISBN: 978-3-642-59268-3

  • eBook Packages: Springer Book Archive

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