半導體產業中，產能的取得通常是透過採購機台，而一台機台依功能差異使得價格自1至13百萬美金不等，且從下訂單到實際產出，其歷程大約需要兩季的時間；另一方面，若公司欲投入新製程並量產，則需花費10至20億美金建造潔淨室。然而，在此產業中，需求變動極度地劇烈且製程更迭快速，企業迫使在這種不確定的情況下對於未來的需求做出產能建置的決策。
產能建置問題必須考慮多個製程間需求的關聯性，因為市場需求通常維持在一定的水準而這些需求會分散到不同的製程。另一方面，在實際的產業環境中，無論是製程間需求的關係或是潔淨室裡製程間產能的相互支援關係都是相當複雜的，而這些都使得產能建置問題更加地困難。
本研究提出產能馬可夫決策模式，其主要架構為馬可夫鍊以及動態規劃。其中，需求行為被視為隨機過程，而本研究將歷史資料分析的結果應用在預估未來的需求，以切割成多個不同的情境。該模式最後會提供產能建置的最佳解以及未來的期望需求短缺損失、剩餘損失與產能相互支援報酬，而這些結果都可以當作決策者在進行產能擴充時的決策依據。最後，本研究以一實際案例來說明所提出之模式，其驗證結果顯示該模式所提出的產能規劃結果相較於該公司原本的產能規劃在總損失上較低以及產能相互支援報酬較高。

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