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Solving the optimal process target problem using response surface designs in heteroscedastic conditions

机译:在异方差条件下使用响应曲面设计解决最佳过程目标问题

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摘要

The contemporary industrial environment continues to rely on the identification of the optimal process target as a means to minimise the product defect rate and ultimately reduce manufacturing costs. Within the context of the optimal process target problem, this paper will offer three distinct contributions. First, a review of literature associated with the process target problem indicates that most research work assumes a known process distribution mean and variance prior to the identification of optimal settings. In contrast, this paper will incorporate the use of response surface designs into solving the process target problem, thus removing the need to make assumptions regarding the process parameters. Second, most research regarding the development of response surface designs either assumes that the same number of observations are made on a quality characteristic of interest, or model error always exhibits a uniform pattern of constant variance. This paper, however, will incorporate alternative modelling techniques to investigate instances when these assumptions are not present, thus broadening the scope of the process target problem. Finally, most research in this area focuses on the determination of the optimal process mean; in this paper, however, we propose a model for simultaneously determining the optimal process mean and variance.
机译:现代工业环境继续依赖于确定最佳工艺目标,以此来最大程度地降低产品缺陷率并最终降低制造成本。在最佳过程目标问题的背景下,本文将提供三个不同的贡献。首先,对与过程目标问题相关的文献的回顾表明,大多数研究工作在确定最佳设置之前都假定了已知的过程分布平均值和方差。相反,本文将使用响应面设计来解决过程目标问题,从而消除了对过程参数进行假设的需要。其次,关于响应曲面设计开发的大多数研究都假设对感兴趣的质量特征进行了相同数量的观察,或者模型误差始终表现出恒定的均匀变化模式。但是,本文将结合替代建模技术来研究不存在这些假设的情况,从而扩大了过程目标问题的范围。最后,该领域的大多数研究都集中在确定最佳过程均值上。但是,在本文中,我们提出了同时确定最佳过程均值和方差的模型。

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