Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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Robust Design using Desirability Function to the Combined-Array with Multiple Quality Characteristics

  • Kwon, Yong-Man (Department of Computer science and statistics, Chosun University) ;
  • Lee, Jang-Jae (Department of Computer science and statistics, Chosun University)
  • Received : 2013.02.18
  • Accepted : 2013.03.25
  • Published : 2013.03.30
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Abstract

Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. In the Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was studied. In these studies, only single quality characteristic (or response) was considered. In this paper we propose how to simultaneously optimize for multiple quality characteristics (or multiresponse) using desirability function when we used the combined-array approach to assign control and noise factors.

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References

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