Journal of Quality Engineering Society
Online ISSN : 2189-9320
Print ISSN : 2189-633X
ISSN-L : 2189-633X
Volume 4, Issue 5
Displaying 1-4 of 4 articles from this issue
  • 4. Signal to Noise Calculation for Various Cases
    Genichi Taguchi
    1996Volume 4Issue 5 Pages 3-9
    Published: October 01, 1996
    Released on J-STAGE: December 24, 2016
    JOURNAL FREE ACCESS

    Signal to noise Ratio, S/N ratio, as a measure of functionality needs an enough accurate estimation of both the magnitude of signal and the magnitude of noises, this article discusses the methods to estimate S/N ratio for the following cases

    (1)S/N ratio using overall error variance for each level of control factor.

    (2)S/N ratio for the case where signal levels include some errors.

    (3)S/N ratio for the care where the ideal function between signal and output is not well-known.

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  • Yoshiaki Ohishi, Toshihiro lchida, Shigetoshi Mochizuki
    1996Volume 4Issue 5 Pages 39-46
    Published: October 01, 1996
    Released on J-STAGE: March 24, 2016
    JOURNAL FREE ACCESS
    Our company produces the granule products from herb extracts. The granules are produced by a dry granulating process including press molding, crushing and classifying processes. The granules require a certain nextent of hardness and fragility to meet the specification also make the pills easier to swallow. Granules are difficult to dissolve if too hard, and become powdery if too soft. ln the current measuring method, granules are vibrated then the powder is separated by screening. After then, the amount of powder which is remain on the screen are measured to indicate the hardness. But this method takes time and the measurement error may be high. This paper reports the development of new method with a short measuring time and high precision.
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  • Kazuhiro Esaki, Muneo Takahashi
    1996Volume 4Issue 5 Pages 47-54
    Published: October 01, 1996
    Released on J-STAGE: March 24, 2016
    JOURNAL FREE ACCESS
    It is said that the quality of a software heavily depends on human factors. ln order to improve the software quality, it is important to clarify the relationship between human factors and software performance. However, human factors affect software performance in such a complicated way that the clarification is not easily accomplished. As a trial, an experiment was conducted in the development process of a software by observing the input/output relationship at the software design review stage. In this paper, the results of this experiment and the effectiveness of quality engineering approach for software development are reported.
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  • Yoshitaka Sugiyama, Kazuhito Takahashi, Hiroshi Yano
    1996Volume 4Issue 5 Pages 55-64
    Published: October 01, 1996
    Released on J-STAGE: June 10, 2016
    JOURNAL FREE ACCESS
    This paper reports the results of a survey on the activities and applications of Quality Engineering Approaches in Japanese companies. There was a similar paper reported by Antje Peters of MIT in 1994 from the similar survey for the US companies. Our survey targeted about 170 Japanese companies which involve the Quality Engineering activities. Among those, about 120 companies answered our questionaires. 17 questions with the following contents were asked: (1) How Quality engineering was introduced? (2) Promotional activities. (3) Training. (4) Research works. (5) Overall comments. The item-wise analysis of this survey was reported before. ln this paper, a more detailed analysis,cross observation and the comments in the questionaires were discussed and put in order. We hope this paper be informative, although some areas might be hard to understand.
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