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題名 | 利用資料挖礦提升半導體廠製造技術員人力資源管理品質=Using Data Mining to Improve the Quality of Human Resource Management of Operators in Semiconductor Manufactures |
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作者 | 簡禎富; 王興仁; 陳麗妃; Chien, Chen-fu; Wang, Ivan; Chen, Li-fei; |
期刊 | 品質學報 |
出版日期 | 20050300 |
卷期 | 12:1 民94.03 |
頁次 | 頁9-28 |
分類號 | 494.56 |
語文 | chi |
關鍵詞 | 遴選; 人力資源管理; 資料挖礦; 決策樹; 關聯規則; Selection; Human resource management; Data mining; Decision tree; Association rule; |
中文摘要 | 半導體廠技術員在人力素質與操作紀律上的要求相對於其他產業要高,因為一時疏忽或不能遵照一定的程序操作,所帶來的損失是相當大的。因此如何遴出好的技術員加以訓練與管理,在半導體廠生產線的人力資源管理上非常重要。隨著科技的進步、全球化的發展等因素,工作內容的多樣性與複雜度也逐漸提升,傳統的人員遴選程序與方法顯然已不敷使用。本研究透過資料挖礦的方法,探索員工個人的基本資料,和目前工作績效之間的關聯規則,藉以找出高績效工作人員所對應之個人基本資訊,進而發展出能夠招募到高績效人員的遴選規則。並以新竹科學園區某半導體廠為例,利用資料挖礦中的決策樹,有效分析出技術員資料中所潛藏的知識,提供主管做為日後人員遴選決策以及相關管理活動改善之參考。 |
英文摘要 | The requirements of human quality and operating principle of operators in semiconductor manufactures are relatively higher than the other industries. It would bring dramatic loss due to inattention or violation of standard operation procedures. Thus, how to select the right persons is very important as well as to train and to manage them in human resource management of this industry. However, the work contents become more and more various and complicated because of the technique progress and globalization, and hence some traditional selection procedures are no longer valid. This study provides a framework to explore the association rules between the personnel information and work performance by data mining approach. The rules of the characteristics of high quality operators have been found to help develop the operators selection requirements. Through decision tree analysis, one of data mining techniques, a real case in Scientific Park is demonstrated to discover the latent knowledge effectively and help managers to improve relative management activities. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。