Skip to main content
Top

2012 | OriginalPaper | Chapter

Proposal of Advanced Taguchi’s Linear Graphs for Split-Plot Experiments

Authors : Tomomichi Suzuki, Hironobu Kawamura, Seiichi Yasui, Yoshikazu Ojima

Published in: Frontiers in Statistical Quality Control 10

Publisher: Physica-Verlag HD

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Taguchi’s orthogonal arrays and linear graphs are convenient tools for the design of fractional factorial experiments, especially for practitioners. Taguchi also proposed how to use them in split-plot designs and prepared linear graphs for split-plot designs. For the orthogonal array of order 16, Taguchi proposed one which is called L16 orthogonal array. Taguchi presented 18 linear graphs when a L16 orthogonal array is used in split-plot designs. Those linear graphs are capable of showing main effects of whole plots, subplots, sub-subplots, and so on, but they are not capable of showing interaction effects of plots of different levels. Also, those linear graphs do not cover all the possible designs, and there exist a lot of other linear graphs that can be applied when using L16 orthogonal arrays. The primary objective of this paper is to propose an improved version of linear graphs. Another purpose of this paper is to investigate how to list all the possible linear graphs that can be applied when using L16 orthogonal arrays. A proposal is made and many new linear graphs are presented.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
.
go back to reference Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for experimenters – Design, innovation, and discovery (2nd ed.). New York: Wiley. Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for experimenters – Design, innovation, and discovery (2nd ed.). New York: Wiley.
.
go back to reference Hedayat, A. S., Sloane, N. J. A., & Stufken, J. (1999). Orthogonal arrays – Theory and applications. New York: Springer. Hedayat, A. S., Sloane, N. J. A., & Stufken, J. (1999). Orthogonal arrays – Theory and applications. New York: Springer.
.
go back to reference Li, C. C., Washio, Y., Iida T., & Tanimoto S. (1991). Linear graphs of resolution IV for orthogonal array L 16. Technical Report of Keio University. Li, C. C., Washio, Y., Iida T., & Tanimoto S. (1991). Linear graphs of resolution IV for orthogonal array L 16. Technical Report of Keio University.
.
go back to reference Ojima, Y., Suzuki, T., & Yasui, S. (2004). An alternative expression of the fractional factorial designs for two-Level and three-Level factors. Frontiers in Statistical Quality Control, 7, 309–316, Physica-Verlag. Ojima, Y., Suzuki, T., & Yasui, S. (2004). An alternative expression of the fractional factorial designs for two-Level and three-Level factors. Frontiers in Statistical Quality Control, 7, 309–316, Physica-Verlag.
.
go back to reference Sekino, M., Suzuki, T., Yasui, S., & Ojima, Y. (2008). Deriving all the linear graphs for L16. Technical Report of Department of Industrial Administration Faculty of Science and Technology, Tokyo University of Science (In Japanese). Sekino, M., Suzuki, T., Yasui, S., & Ojima, Y. (2008). Deriving all the linear graphs for L16. Technical Report of Department of Industrial Administration Faculty of Science and Technology, Tokyo University of Science (In Japanese).
.
go back to reference Taguchi, G. (1976). Experimental design. Tokyo: Maruzen (In Japanese). Taguchi, G. (1976). Experimental design. Tokyo: Maruzen (In Japanese).
.
go back to reference Washio, Y. (1988). Design of experiment and analysis. Tokyo: Iwanami-Shoten (In Japanese). Washio, Y. (1988). Design of experiment and analysis. Tokyo: Iwanami-Shoten (In Japanese).
.
go back to reference Watanabe, G., Suzuki, T., Togashi, T., Yasui, & S., Ojima, Y. (2006). Allocating factors in split-plot designs for orthogonal arrays. In Proceedings of ENBIS 2006 (European Network for Business and Industrial Statistics), Wroclaw (CD-ROM). Watanabe, G., Suzuki, T., Togashi, T., Yasui, & S., Ojima, Y. (2006). Allocating factors in split-plot designs for orthogonal arrays. In Proceedings of ENBIS 2006 (European Network for Business and Industrial Statistics), Wroclaw (CD-ROM).
.
go back to reference Wu, C. F. J., & Hamada, M. (2000). Experiments – planning, analysis, and parameter design optimization. New York: Wiley. Wu, C. F. J., & Hamada, M. (2000). Experiments – planning, analysis, and parameter design optimization. New York: Wiley.
Metadata
Title
Proposal of Advanced Taguchi’s Linear Graphs for Split-Plot Experiments
Authors
Tomomichi Suzuki
Hironobu Kawamura
Seiichi Yasui
Yoshikazu Ojima
Copyright Year
2012
Publisher
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-7908-2846-7_22

Premium Partner