淡江大學機構典藏:Item 987654321/75685
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75685


    Title: Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process
    Authors: Chang, Shing-i;Tsai, Tzong-ru;Lin, Dennis K. J.;Chou, Shih-hsiung;Lin, Yu-siang
    Contributors: 淡江大學統計學系
    Keywords: autoclave;biplot chart;DMAIC;Hotelling T 2 chart;profile analysis
    Date: 2012-03-26
    Issue Date: 2012-04-09 13:50:00 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: Curing duration and target temperature are the most critical process parameters for high-pressure hose products. The air temperature collected in the curing chamber is represented in the form of a profile. A proper statistical process control (SPC) implementation needs to consider both numeric as well as profile quality characteristics. This article describes a successful Six Sigma project in the context of statistical engineering for integrating SPC, a statistical method, to the existing practice of engineering process control (EPC) according to science. A case study on a real production curing process is thoroughly investigated. It is shown that the new findings could potentially result in significant energy savings. The solutions provided in this study can be generalized into other curing processes and applications subjected to both EPC and SPC.
    Relation: Quality Engineering 24(2), p.251-263
    DOI: 10.1080/08982112.2012.641149
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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