Abstract
It is essential in modern industry that quality and procuctivity are improved continuously. To accomplish this purpose, quality control must be maintained in all parts of a company. Recently, some tire manufacture companies are beginning to show interest in quality control. They have tried to achive some results through the statistical analysis for the experimental data which has accumulated up to now and then they strive to determine the structural relationship between the design factors in tire construction and tire performance characteristics. The measurement data obtained from the construction engineering is given in multivariate form owing to the various properties found in tire design components as wll as in performance. Also it may be existed the relationship among the multimple response variables. Thus we proposes the use of the biplot graphical display as an analytic tool of data matrices with complex respects. The proposed biplots are also availalbe to understand both the underlying structure of the data and the roles played by the different components. In particular, we consider the matter of how best to use the biplots in the maltivariate analysis of variance and multiple response data. Finally we apply this method to analyze the actual data.
일반적으로 타이어 제조공학에 있어서 측정되는 자료는 여러개의 설계인자와 성능 특성치가 사용된 다변량 자료행렬로 주어지는데, 이러한 자료행렬의 중요한 특성중의 하나는 각 반응값들이 서로 다른 것들과 높은 상관관곌르 가질 수 있다는 것이다. 따라서 본 연구는 이러한 복잡한 성격을 갖는 자료행렬의 분석에 적합한 biplot 작성의 수학적 이론을 알아보고, 또한 각 변수들의 구조적 특성 및 내재한 상호 관련성을 다변량 분산분석 biplot과 다반응치 희귀모형 biplot을 이용하여 포괄적으로 고찰하였다.