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A high breakdown point robust phase I operation of process variability monitoring based on individual observations

机译:基于单个观察值的高故障点鲁棒性I阶段过程可变性监控操作

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摘要

This paper presents an improvement of data concentration process in FMCD algorithm in order to increase its computational efficiency. A simulation study indicates that the improved algorithm is promising in reducing the running time. This advantage will allow the users to use more efficiently that algorithm in multivariate analysis including in the development of a high breakdown point robust Phase I operation in monitoring manufacturing process quality based on individual observations. A real example in Phase I operation of process variability will be presented and discussed to illustrate the advantage of the proposed improved algorithm
机译:本文提出了FMCD算法中数据集中处理的改进方法,以提高其计算效率。仿真研究表明,改进算法有望减少运行时间。这一优势将使用户能够在多变量分析中更有效地使用该算法,包括在基于单个观察结果监控制造过程质量的高故障点鲁棒性第一阶段操作的开发中。将给出并讨论过程可变性的第一阶段操作中的一个真实示例,以说明所提出的改进算法的优势

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