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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/140181


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    題名: Auxiliary information-based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability
    作者: 楊素芬
    Yang, Su-Fen
    Lu, Shin-Li;Chen, Jen-Hsiang
    貢獻者: 統計系
    關鍵詞: auxiliary information;average run length;MaxEWMA chart;MaxGWMA chart;statistical pro-cess control
    日期: 2021-12
    上傳時間: 2022-05-30 16:03:31 (UTC+8)
    摘要: An auxiliary information-based (AIB) maximum exponentially weighted moving average (MaxEWMA) chart has been proposed to simultaneously monitor both increases and decreases in the process mean and/or variability, called the AIB-MaxEWMA chart, which is superior to the existing MaxEWMA chart. In this paper, we propose the AIB maximum generally weighted moving average chart, called the AIB-MaxGWMA chart, to further enhance the sensitivity of the AIB-MaxEWMA chart. Numerical simulation studies indicate that the AIB-MaxGWMA chart is sensitive to small shifts in the process mean and/or variability. The performance of the AIB-MaxGWMA chart based on average run lengths (ARLs) also outperforms than its counterparts including AIB-MaxEWMA, MaxGWMA and MaxEWMA charts. An example is used to illustrate the efficiency of the proposed AIB-MaxGWMA chart in detecting small process shifts.
    關聯: Quality and Reliability Engineering International, 37(8), 3242-3261
    資料類型: article
    DOI 連結: https://doi.org/10.1002/qre.2906
    DOI: 10.1002/qre.2906
    顯示於類別:[統計學系] 期刊論文

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