Quality analysis of a categorical response with different important considerations |
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Authors: | Kun-Lin Hsieh |
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Institution: | (1) Center for Information Storage Device (CISD), Yonsei University, Seoul, 120-749, South Korea;(2) Optical Drive Technology Research Unit, Optical Storage Project, Storage Technology Research Center, Hitachi Ltd., Yokohama 244-0817, Japan;(3) Mechanical Engineering Research Laboratory, Hitachi Ltd., Ibaraki 312-0034, Japan; |
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Abstract: | Most quality improvement or quality analysis frequently focused on the issue of the quantitative quality response. The issue
of addressing a qualitative or a categorical quality response is seldom mentioned. Until now, only a few studies addressed
the parameter optimization for achieving quality improvement for a categorical response. However, the weight effect for different
categorical level of response cannot be included into their analysis and it will limit the rationality and feasibility for
the real applications. The objective of this study is to propose a procedure about quality improvement based on artificial
neural networks (ANNs) technique to deal with the parameter optimization of categorical response with different weight effect.
A case study involving a taping process from a lead frame (L/F) manufacturer in Taiwan’s science-based park demonstrates the
rationality and feasibility of the proposed approach. |
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Keywords: | |
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