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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139839


    Title: An Average Loss Control Chart Under a Skewed Process Distribution,
    Authors: 楊素芬
    Yang, Su-Fen
    Lu, Shan-Wen
    Contributors: 統計系
    Keywords: Loss function;Non-normal distribution;Control chart;Run length
    Date: 2021-05
    Issue Date: 2022-04-12
    Abstract: In the global market the quality of products is a crucial factor separating competitive companies within numerous industries. These firms may employ a loss function to measure the loss caused by a deviation of the quality variable from the target value. From the view of Taguchi’s philosophy, monitoring this deviation from the process target value is important, but in practice many quality data have distributions that are not normal but skewed. This paper thus develops an average loss control chart for monitoring quality loss variation under skewed distributions. We investigate the statistical properties of the proposed control chart and measure the out-of-control process detection performance of the proposed loss control charts by using the average run length. The average loss control chart illustrates the best performance in detecting of out-of-control loss location for a left-skewed process distribution and performs better than the existing median loss control chart.
    Relation: Frontiers in Statistical Quality Control 13, Springer, pp.65-76
    Data Type: book/chapter
    DOI link: https://doi.org/10.1007/978-3-030-67856-2_5
    DOI: 10.1007/978-3-030-67856-2_5
    Appears in Collections:[Department of Statistics] Books & Chapters in Books

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