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Intelligent Decision Making in Quality Management pp 389–419Cite as

Taguchi Method Using Intelligent Techniques

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 97))

Abstract

The Taguchi method has been widely applied in quality management applications to identify and fix key factors contributing to the variations of product quality in manufacturing processes. This method combines engineering and statistical methods to achieve improvements in cost and quality by optimizing product designs and manufacturing processes. There are several advantages of the Taguchi method over other decision making methods in quality management. Being a well-defined and systematic approach, the Taguchi method is an effective tuning method that is amenable to practical implementations in many platforms. To build on this, there are also merits, in terms of overall system performance and ease of implementation, by utilizing the Taguchi method with some of the artificial intelligent techniques which require more technically involved and mathematically complicated processes. To highlight the strengths of these approaches, the Taguchi method coupled with intelligent techniques will be employed on the fleet control of automated guided vehicles in a flexible manufacturing setting.

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Acknowledgments

Special thanks to Ms. Chua Xiaoping Shona and Mr. Lee Tat Wai David for their efforts in the initial drafting of this chapter.

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Authors and Affiliations

  1. Engineering Design and Innovation Centre, Faculty of Engineering, National University of Singapore, Singapore, Singapore

    Kok-Zuea Tang

  2. Department of Electrical and Computer Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore

    Kok-Kiong Tan & Tong-Heng Lee

Authors
  1. Kok-Zuea Tang
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  2. Kok-Kiong Tan
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  3. Tong-Heng Lee
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Correspondence to Kok-Zuea Tang .

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Editors and Affiliations

  1. İşletme Fakültesi, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engg Dept, Istanbul Technical University, Istanbul, Turkey

    Seda Yanik

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Tang, KZ., Tan, KK., Lee, TH. (2016). Taguchi Method Using Intelligent Techniques. In: Kahraman, C., Yanik, S. (eds) Intelligent Decision Making in Quality Management. Intelligent Systems Reference Library, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-319-24499-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-24499-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24497-6

  • Online ISBN: 978-3-319-24499-0

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