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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/129921
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/129921

    Title: Service quality variation monitoring using the interquartile range control chart
    Authors: 楊素芬
    Yang, Su-Fen
    Jiang, Ting-An
    Contributors: 統計系
    Keywords: Control chart; process variability; interquartile range; free-distribution;average run length
    Date: 2018-09
    Issue Date: 2020-05-26 14:25:13 (UTC+8)
    Abstract: Control charts are effective tools for signal detection for both manufacturing and service processes. Much of the data in service industries come from processes exhibiting non-normal or unknown distributions, for which Shewhart variables control charts are not appropriate. This paper thus proposes a new exponentially weighted moving average (EWMA) interquartile range control chart with single sampling and double sampling schemes, respectively, for detecting the out-of-control variance/standard deviation of a critical quality characteristic that exhibits a non-normal or unknown distribution. We explore the sampling properties of the new monitoring statistics, and calculate the average run length of the proposed chart to compare the out-of-control detection performance with existing nonparametric variance charts/standard deviation for cases in which the critical quality characteristic follows the normal and non-normal distributions. Comparison results show that the proposed double sampling EWMA interquartile range control chart exhibits better detection performance than that of the single sampling EWMA interquartile range control chart. Moreover, the former always outperforms existing control charts for small and medium shifts in process variance/standard deviation. Finally, we use a numerical example with service data from a local bank branch to illustrate the application of the proposed control chart.
    Relation: Quality Technology and Quantitative Management, Vol.16, No.5, pp.613-627
    Data Type: article
    DOI 連結: https://doi.org/10.1080/16843703.2018.1519921
    DOI: 10.1080/16843703.2018.1519921
    Appears in Collections:[統計學系] 期刊論文

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