在許多工業生產的實際例子上，產品或製程的品質特徵可以用一個反應變數以及一個或多個解釋變數的函數關係來描述，這種函數關係稱為輪廓製程。本文主要是針對反應變數是類別且有序的輪廓資料時，如何來監控反應變數與解釋變數之間的輪廓關係。我們使用additive proportional odds模式來描述反應變數與解釋變數之間的輪廓關係，在這個模式之下我們建構兩個管制圖來進行輪廓監控，並在偵測到失控訊號之後進行製程改變點的估計以及製程改變的診斷。最後我們利用一個例子來說明實際上如何操作使用我們所提出的管制圖。

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