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題 名 | 以決策樹獲取製造系統排程知識之研究=Using Decision Tree as Knowledge Acquisition Tool for Production Scheduling |
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作 者 | 童冠燁; 潘正坤; | 書刊名 | 中華管理學報 |
卷 期 | 3:1 2002.03[民91.03] |
頁 次 | 頁27-40 |
分類號 | 494.542 |
關鍵詞 | 歸納學習法; 決策樹; 排程; Inductive learning; Decision tree; Scheduling; |
語 文 | 中文(Chinese) |
中文摘要 | 本文針對製造系統排程問題,利用模擬及歸納學習等方法,先將績效指標分成若干指標類別,而形成對應決策參數組合之類別。再以決策樹方法獲取決策參數與系統績效對應關係的特性規則。歸納所得排程知識,適用於決策者在面臨決策時,能掌握不同決策對製造系統績效之變動情形,並訂定出適切之排程策略。 |
英文摘要 | This research applies decision tree to obtain scheduling knowledge from simulated data. We first configure a manufacturing system and define a set of decision parameters along with a set of system performance evaluation criteria. The learning procedure initiates accumulating simulated data through the system. Next, the accumulated data is used to form performance classes according to their difference. Finally, the decision tree construction method is applied to extract the definition of each class. The definitions are converted into rule-type knowledge associated with certainty factors, and used as the scheduling knowledge, which determines the decision-mix to adequately control the system in fulfilling a specified system performance. |
本系統中英文摘要資訊取自各篇刊載內容。