• 제목/요약/키워드: Product array approach

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Robust Design to the Combined Array with Multiresponse

  • Kwon, Yong-Man
    • 통합자연과학논문집
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    • 제10권1호
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    • pp.51-57
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    • 2017
  • The Taguchi parameter design in industry is an approach to reducing performance variation of quality characteristic in products and processes. In the Taguchi parameter design, the product array approach using orthogonal arrays is mainly used. 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 response was considered. In this paper we propose how to simultaneously optimize multiresponse for the robust design using the combined array approach.

Simultaneous Optimization for Robust Design using Distance and Desirability Function

  • Kwon, Yong-Man
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.685-696
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    • 2001
  • Robust design is an approach to reducing performance variation of response values in products and processes. In the Taguchl 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 suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses, and when we use the combined-array approach to assign control and noise factors. An example is illustrated to show the difference between the Taguchi's product-array approach and the combined-array approach.

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Simultaneous Optimization of Multiple Responses to the Combined Array

  • 권용만
    • Journal of the Korean Data and Information Science Society
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    • 제12권2호
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    • pp.57-64
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    • 2001
  • 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 suggested by Welch et al (1990) and studied by Vining and Myers (1990) and others. In these studies, only single respouse variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses.

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A Study on Simultaneous Optimization of Multiple Quality Characteristics for Robust Design

  • Kwon, Yong Man
    • 품질경영학회지
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    • 제24권2호
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    • pp.142-157
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    • 1996
  • Robust design in industry is an approach to reducing performance variation of quality characteristic values in products and processes. In the Taguchi type robust design, the product array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. In this paper, for the combined array approach to assign control and noise factors, we propose how to simultaneously optimize multiple quality characteristics. Two examples are illustrated to show the difference between the product-array approach and the combined-array approach.

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로버스트 설계에서 기대함수를 이용한 다특성 동시 최적화 방안 (Simultaneous Optimization of Multiple quality Characteristics to Robust Design using Desirability Function)

  • 권용만;박병전
    • 품질경영학회지
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    • 제27권2호
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    • pp.126-142
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    • 1999
  • 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. Taguchi parameter design has a great deal of advantages but it also has some disadvantages. The various research efforts aimed at developing alternative methods. 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 suggested by Welch et. al. ( 1990) and studied by others. In these studies, only single quality characteristic was considered. In this paper we propose how to simultaneously optimize multiple quality characteristics using desirability function when we used the combined-array approach to assign control and noise factors. An example is illustrated to show the difference between the Taguchi's product-array approach and the combined-array approach.

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로버스트설계에서 최적화방안에 대한 비교 연구 (A Comparative Study on Optimization Procedures to Robust Design)

  • 권용만;문인숙
    • Journal of the Korean Data and Information Science Society
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    • 제11권1호
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    • pp.65-72
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    • 2000
  • 로버스트설계는 품질공학에서 품질특성치의 수행변동(performance variation)을 줄이는데 있다. 다구찌가 제안한 파라미터설계는 아주 많은 장점을 가지고 있으나 몇 가지 단점이 있다. 그 중에서 파라미터설계에 있어서 교차배열은 제어인자와 잡음인자의 모든 교호작용효과를 고려한 실험배치이기 때문에 많은 실험횟수를 필요로 하는 단점이 있다. 그래서 대안방법으로 Welch등(1990)이 제안한 통합배열이 고려된다. 본 논문에서는 로버스트 설계를 위한 다구찌의 파라미터설계(혹은 교차배열방법론)와 통합배열방법론을 시뮬레이션을 통하여 비교 연구하고자 한다.

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Multiple Response Optimization for Robust Design using Desirability Function

  • Kwon, Yong-Man;Hong, Yeon-Woong;Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
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    • 제14권2호
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    • pp.325-335
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    • 2003
  • Robust design is to identify appropriate settings of control factors that make the system's performance robust to to changes in the noise factors that represent the source of variation. 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 suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when we use the combined array approach.

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A Study on Multiple Response Optimization for Robust Design using Desirability Function

  • 권용만;장덕준;홍연웅
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2003년도 춘계학술대회
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    • pp.65-75
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    • 2003
  • 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 suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when we use the combined array approach.

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Simultaneous Optimization for Robust Design Using Desirability Function to the Combined Array

  • Kwon, Yong-Man;Hong, Yeon-Woong
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2002년도 춘계학술대회
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    • pp.97-106
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    • 2002
  • 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 suggested by Welch et. al. and studied by others. In these studies, only single quality characteristic was considered. We propose how to simultaneously optimize multiple quality characteristics using desirability function when we used the combined-array approach to assign control and noise factors. An example is illustrated to the combined-array approach.

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고장물리와 수명분석을 이용한 제품신뢰도 개선: BGA(Ball Grid Array) 패키지에 대한 사례연구를 중심으로 (An Approach of Combining Failure Physics and Lifetime Analysis for Product Reliability Improvement: An Application to BGA(Ball Grid Array) Package)

  • 이경택;신창호;한형상;;김선욱;이희진
    • 대한산업공학회지
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    • 제25권2호
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    • pp.204-216
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    • 1999
  • Failure physics and statistical lifetime analysis constitute the two extreme ends of the reliability engineering spectrum, and studies that relate failure mechanisms to failure distributions have been near non-existent. This paper is an attempt to stimulate interest to fill the gap between the two extremes and proposes an approach of combining them through i) developing a failure mechanism model, ii) generating failure times by Monte Carlo simulation with the model, iii) deriving the failure time distribution and evaluating the product reliability, and iv) improving the product reliability by the sensitivity analysis. An application of the proposed approach to the BGA(Ball Grid Array) surface mount package is also provided.

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