• Title/Summary/Keyword: 다구찌 분석

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Generalized linear models versus data transformation for the analysis of taguchi experiment (다구찌 실험분석에 있어서 일반화선형모형 대 자료변환)

  • 이영조
    • The Korean Journal of Applied Statistics
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    • v.6 no.2
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    • pp.253-263
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    • 1993
  • Recent interest in Taguchi's methods have led to developments of joint modelling of the mean and dispersion in generalized linear models. Since a single data transformation cannot produce all the necessary conditions for an analysis, for the analysis of the Taguchi data, the use of the generalized linear models is preferred to a commonly used data transformation method. In this paper, we will illustrate this point and provide GLIM macros to implement the joint modelling of the mean and dispersion in generalized linear models.

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A study to determine the design parameters of Lifeboat Davit by Using FEM and Taguchi Method (유한요소해석과 다구찌법을 이용한 구명정 진수장치 설계인자 결정에 관한 연구)

  • Choi, Joo-Hyoung;An, Jung-Chul;Kim, Jeong-Hwan;Ryu, Chan-Uk;Choi, Young-Sam
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.4
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    • pp.554-559
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    • 2010
  • Lifeboat davit is composed of main frame, main arm, upper arm and support bar. In this paper, design parameters that affect the bending stiffness were set as plate thickness, width and hight of upper arm. To analyze the influence of parameter factors, FEM and Taguchi Method were used. This paper will help substantially in many industries.

On Accumulation Analysis (누적법에 관한 연구)

  • 백운봉;이우선
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.275-293
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    • 1999
  • 다구찌의 누적법은 다구찌 품질공학에서 중요한 통계분석 방법이다. 그러나 이 방법이 복잡하고 비효율적일 뿐만 아니라 실험의 결과가 잘못 해석 될 수 있는 문제점을 가지고 이싿. 특히 순서 지어진 범주형에 관한 다요인(multificator) 실험에서는 이러한 가능성이 큰 것으로 지적되고 있다. 이에 대한 걱정과 비판이 Nair(1986) 그리고 Hamada and Wu(1990)에 의하여 심각하게 제기되어 왔다. 본 논문은 이러한 내용들을 정리하고 이들의 논란과 주장에 대한 평가와 이에대한 최선의 실천방안을 제안하고 있다. 아울러 실제 자료분석을 위하여 필요한 SAS/IML 프로그램을 제시하고 있다.

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Design Optimization of Earth Retaining Walls Using the Taguchi Method (다구찌 기법을 활용한 흙막이 가설공법 최적설계 방안)

  • Moon, Sungwoo;Kim, Sungbu
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.1
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    • pp.83-89
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    • 2017
  • Temporary structures provide the accessible working area when building a permanent building structure in the construction operation. Executed in a natural environment, the temporary structure is prone to the external influence factors of underground water, soil conditions, etc. These factors should be carefully considered in designing the temporary structure. The objective of this study is to apply the external influence factors in designing a more reliable earth retaining wall. The research methodology is based on the Taguchi method that has been studied to improve product quality in the industry. An orthogonal array was developed to analyze the interaction between the external influence factors and the internal influence factors. A sample case study demonstrated that the Taguchi method can be used in planning a more reliable temporary structure for earth retaining walls.

A Study on the Improving Diaphgram for Micro Speaker Performance using Taguchi Method (다구찌법을 이용한 마이크로 스피커용 다이아프램의 성능개선에 관한 연구)

  • Hong, D.K.;Woo, B.C.;Ahn, C.H.
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.534-538
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    • 2004
  • On this study, we improved diaphgram for micro speaker performance using Taguchi method in discrete design space. The design of diaphgram has an effect on performance of micro speaker such as, thickness of diaphgram, shape of diaphgram, etc. Therefore this study carried to decide shape of diaphgram and thickness of diaphgram for minimizing 2nd natural frequency of diaphgram using Taguchi method. we showed improved design factors that minimized 2nd natural frequency of diaphgram. Also, 2nd natural frequency of diaphgram for micro speaker is reduced up to 37 percent maintaining twist mode shape. From the results of ANOVA, 2nd natural frequency of diaphgram for micro speaker have an effect on position of the outer curved shape and thickness of diaphgram.

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Analysis and Optimization of Geometric Error in Surface Grinding using Taguchi Method (다구찌기법에 의한 연삭가공물의 형상오차 분석 및 최적화)

  • Chi, Long-Zhu;Hwang, Yung-Mo;Yoon, Moon-Chul;Ryoo, In-Il;Ha, Man-Kyung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.4
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    • pp.13-19
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    • 2004
  • This paper deals with the analysis of geometric error and the optimization of process parameters in surface grinding. Taguchi method which is one of the design of experiments has been introduced in achieving the aims. The process parameters were the grain size, the wheel speed, the depth of cut and the table speed. The effect of the process parameters on the geometric error was examined and an optimal set of the parameters was selected to minimize the geometric error within the controllable range of the used grinding machine. The reliability of the results was evaluated by the ANOVA.

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The design of a 920MHz RFID reader antenna using the Taguchi's Method (다구찌기법을 이용한 920MHz 대역 RFID 리더 안테나 설계 연구)

  • Kwon, So-Hyun;Ko, Jae-Hyeong;Choi, Jin-Kyu;Jung, Chan-Yong;Hong, Jae-Hee;Kim, Hyeong-Seok
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1585_1586
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    • 2009
  • 본 논문에서는 다구찌 기법을 사용하여 최적설계 한 중심 주파수가 920MHz인 휴대용 RFID 리더안테나를 제안한다. 제안한 안테나는 모서리가 절단되고 정사각형 마이크로스트립 패치에 네 변으로부터 슬롯을 갖는 구조이다. 이러한 슬롯구조는 마이크로스트립 패치안테나를 소형화 시킬 수 있으며, 슬롯이 없는 구조에 비해서 약 18%의 안테나 크기 감소가 가능함을 실험을 통해 확인 하였다. 슬롯의 구조를 갖게 되는 소형의 안테나는 복잡한 설계변수에 따라 변화하므로 최적의 안테나 설계를 위해서는 해석 및 시험단계에 수많은 반복이 요구된다. 본 연구에서는 해석 및 실험 횟수를 최소화할 수 있는 실험계획법인 다구찌법의 직교배열 표를 도입하여 설계할 때의 주요 요소들의 민감도 해석을 수행하고 그 영향성을 분석하여 해석결과를 바탕으로 설계반복을 최소화 하면서 최적의 구조를 갖는 안테나를 설계 하였으며 유전율이 4.4이고, 두께가 3.2mm 인 Epoxy 1.6T의 기판상에 제작한 안테나 특성에 대한 실험 결과를 제시하였다.

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Alternative optimization procedure for parameter design using neural network without SN (파라미터 설계에서 신호대 잡음비 사용 없이 신경망을 이용한 최적화 대체방안)

  • Na, Myung-Whan;Kwon, Yong-Man
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.2
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    • pp.211-218
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    • 2010
  • Taguchi has used the signal-to-noise ratio (SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. Moreover, there are difficulties in practical application, such as complexity and nonlinear relationships among quality characteristics and design (control) factors, and interactions occurred among control factors. Neural networks have a learning capability and model free characteristics. There characteristics support neural networks as a competitive tool in processing multivariable input-output implementation. In this paper we propose a substantially simpler optimization procedure for parameter design using neural network without resorting to SN. An example is illustrated to compare the difference between the Taguchi method and neural network method.