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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/97519


    Title: Statistical Process Control for Monitoring a Diffusion Process
    Authors: Tsai, Tzong-Ru;Chang, Shing I;Chou, Shih-Hsiung;Chiang, Jyun-You;Sung, Wen-Yun
    Contributors: 淡江大學統計學系
    Keywords: Control chart;normal distribution;profile monitoring;statistical process control;Wiener diffusion model
    Date: 2014-01
    Issue Date: 2014-03-24 14:08:32 (UTC+8)
    Publisher: Kumamoto: ICIC International
    Abstract: This study presents a new statistical process control (SPC) procedure for a process together with degradation and diffusion effects. One of such examples is the initial cool-down process of high-pressure hose production. The air temperature readings during the initial cool-down process often exhibit a non-increasing trend with a diffusion effect in that profiles generated from cycle to cycle deviates from each other more over time. A new charting procedure using the Wiener diffusion model is developed in this article. A real data set, generated from the cool-down process of high-pressure hose production, is used to demonstrate the application of proposed method.
    Relation: ICIC Express Letters 8(1), pp.131-136
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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