徐世輝952221E011077

徐世輝952221E011077

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Unformatted text preview: 1 行政院國家科學委員會專題研究計劃成果報告 多變量廣泛加權移動平均管制圖與 整合工程製程管制之研究 (2/3) Integrating multivariate engineering process control and multivariate statistical process control 計劃編號: NSC95-2221-E-011-077 執行期限: 95 年 8 月 1 日 至 96 年 7 月 31 日 主持人:徐世輝教授 台灣科技大學工業管理系 一、 中文摘要 本研究將進行多變量廣泛加權移動平均 (MEWMA) 管制圖之設計,以快速偵 測製程之微小偏移,並建立整合多變量工程製程管制與多變量統計製程管制之管 制架構。針對多重輸入、多重輸出之製程,運用多變量管制圖整合多變量工程製 程管制與多變量統計製程管制 (MEPC/MSPC) ,發展製程效率之評比法則,以建 立 MEPC/MSPC 之管制架構。然後,以成本設計為考量,進行 MEPC/MSPC 管制 圖之經濟設計,探討相關的總成本函數,以反映 MEPC/MSPC 之管制效率與總品 質成本之關係,分別對上述幾種多變量管制圖進行經濟設計,以電腦模擬方式比 較其平均成本效率。 關鍵詞︰ 六標準差,統計製程管制,多變量,管制圖,指數加權移動平均,工程 製程管制。 Abstract This research is engaged in designing a multivariate generally weighted moving average (MEWMA) control chart to detect small process shifts quickly and establishing the control scheme of the integrated multivariate engineering process control. Under the multiple input- multiple output process, we plan to study the 2 integration of the multivariate engineering process control and the multivariate control chart (MEPC/MSPC). To develop some performance measures and setup the MEPC/MSPC control scheme, finally, we propose the MEPC/MSPC control scheme with the economic consideration. Some total quality cost functions will be discussed to reveal the relationship between the control efficient of MECP/MSPC and the total quality cost. Via simulation, several multivariate control charts integrated with MEPC can be used to show which one is much more effective and much more economic in detecting small shifts of the mean vector. Keywords: Six Sigma, statistical process control, multivariate, control chart, exponentially weighted moving average, engineering process control. 二、 計劃緣由與目的 在很多系統中,因為服務流程 / 生產設備之可調整性,常採用工程製程管制 (engineering process control , EPC) 之方法,對流程 / 製程之可調整變數 ( 輸入 ) 做定 期性的調整,此即根據每次製程的輸出結果 ( 所偵測的品質特性值 ) 與目標值相比 較,做為下一次製程輸入值修正之依據,以期使製程之輸出值均能持續保持在目 標值上,但因影響製程輸出值的因素有很多,除了有時間序列上的相依性問題 外,亦有機器設備磨損、原料品質不穩、干擾等因素,面對不同的因素可進行不...
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徐世輝952221E011077

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