臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
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
書刊名：品質學報
作者：簡禎富／王興仁／陳麗妃 引用關係
作者(外文)：Chien, Chen-fu／Wang, Ivan／Chen, Li-fei
出版日期：2005
卷期：12:1
頁次：頁9-28
主題關鍵詞：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
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(4) 博士論文(0) 專書(1) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:14
  • 點閱點閱:84
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。
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complicated because of the technique progress and globalization, and hence some traditional selection procedures are no longer valid.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.
期刊論文
1.王鴻儒、簡禎富、李培瑞、徐紹鐘(20020600)。決策樹資料挖礦架構及其於半導體製程之實證研究。科技管理學刊，7(1)，137-160。new window  延伸查詢new window
2.Hough, L. M.、Oswald, F. L.(2000)。Personnel selection: Looking toward the future-remembering the past。Annual Review of Psychology，51，631-664。  new window
3.林金賢、許碧芬、鄭妃君(20020300)。利用類神經-模糊理論評定契合程度--以管理人員甄選為例。管理學報，19(1)，77-108。new window  延伸查詢new window
4.Beckers, A. M.、Bsat M. Z.(2002)。A DSS classification model for research in human resource information systems。Information System Management，19(3)，41-50。  new window
5.Bertino, E.、Catania, B.、Caglio, E.(1999)。Applying data mining techniques to wafer manufacturing。Principles of Data Mining and Knowledge Discovery Lecture Notes in Artificial Intelligence，1704，41-50。  new window
6.Byun, D. H.、Suh, E. H.(1994)。Human-Resource Management Expert-Systems。Technology, Expert Systems，11(2)，109-119。  new window
7.Chen, M.-C.(2003)。Configuration of cellular manufacturing systems using association rule induction。International Journal of Production Research，41(2)，381-395。  new window
8.Cho, V.、Ngai, E.(2003)。Data mining for selection of insurance sales agents。Expert Systems，20(3)，123-132。  new window
9.Chu, P.-C.(1990)。Developing expert systems for human resource planning and management。Human Resource Planning，13(3)，159-178。  new window
10.Curram, S. P.、Mingers, J.(1994)。Neural networks, decision tree induction and discriminant analysis: an empirical comparison。Journal of the Operational Research Society，45(4)，440-450。  new window
11.Gehrke, J.、Ramarkrishna, R.、Ganti, V.(2000)。Rain Forest--a framework for fast decision tree construction of large datasets。Data Mining and Knowledge Discovery，4，127-162。  new window
12.Hooper, R. S.、Galvin, T. P.、Kilmer, R. A.、Liebowitz, J.(1998)。Use of an expert system in a personnel selection process。Expert Systems with Applications，14(4)，425-432。  new window
13.Hui, S. C.、Jha, G.(2001)。Application of data mining techniques for improving customer service。International Journal of Computer Applications in Technology，14(1-3)，64-77。  new window
14.Hsu, Y. R.、Leat, M.(2000)。A study of HRM and recruitment and selection policies and practices in Taiwan。International Journal of Human Resource Management，11(2)，413-435。  new window
15.Irani, K. B.、Cheng, J.、Fayyad, U. M.、Qian, Z.(1993)。Applying machine learning to semiconductor Mmanufacturing。IEEE Expert，8(1)，41-47。  new window
16.Kittler, R.、Wang, W.(1999)。The emerging role for data mining。Solid State Technology，42(11)，45-58。  new window
17.Kovach, K. A.、Cathcart, C. E.(1999)。Human Resource Information System (HRIS): providing business with rapid data access, information exchange and strategic advantage。Public Personnel Management，28(2)，275-282。  new window
18.Lee, S. J.、Siau, K.(2001)。A Review of Data Mining Techniques。Industrial Management and Data Systems，101(1/2)，41-46。  new window
19.Liao, S.-H.(2003)。Knowledge management technologies and applications--literature review from 1995 to 2002。Expert Systems with Applications，25(2)，155-164。  new window
20.Lievens, F.、Van Dam, K.、Anderson, N.(2002)。Recent trends and challenges in personnel selection。Personnel Review，31(5/6)，580-601。  new window
21.Mahmood, M. A.、Gowan, M. A.、Wang, S. P.(1995)。Developing a prototype job evaluation expert system--a compensation management application。Information & Management，29(1)，9-28。  new window
22.Mohanty, R. P.、Deshmukh, S. Q.(1997)。Evolution of a decision support system for human planning in a petroleum company。International Journal of Production Economics，51(3)，251-261。  new window
23.Moshkovich, H. M.、Mechitov, A. I.、Olson, D. L.(2002)。Rule induction in data mining: effect of ordinary scales。Expert Systems with Applications，22，303-311。  new window
24.Ntuen, C. A.、Chestnut, J. A.(1995)。An expert-system for selecting manufacturing workers for training。Expert Systems with Applications，9(3)，309-332。  new window
25.Robertson, I. T.、Smith, M.(2001)。Personnel selection。Journal of Occupational and Organizational Psychology，74(4)，441-472。  new window
26.Tavana, M.、Kennedy, D. T.、Joglekar, P.(1996)。A group decision support framework for consensus ranking of technical manager candidates。Omega-International Journal of Management Science，24(5)，523-538。  new window
27.Wei, C.-P.、Chiu, I. T.(2003)。Telecommunications call details to churn prediction: a data mining approach。Expert Systems，23，103-112。  new window
28.Zhang, S. C.、Zhang, C. Q.、Yang, Q.(2003)。Data preparation for data mining。Applied Artificial Intelligence，17(5/6)，375-381。  new window
29.簡禎富、林鼎浩、劉巧雯、彭誠湧、徐紹鐘、黃佳琪(20020300)。建構晶圓圖分類之資料挖礦方法及其實證研究。工業工程學刊，19(2)，23-38。new window  延伸查詢new window
30.Shaw, M. J.、Subramaniam, C.、Tan, G. W.、Welge, M. E.(2001)。Knowledge management and data mining for marketing。Decision Support Systems，31(1)，127-137。  new window
31.簡禎富、李培瑞、彭誠湧(20030700)。半導體製程資料特徵萃取與資料挖礦之研究。資訊管理學報，10(1)，63-84。new window  延伸查詢new window
32.Grupe, F. H.、Owrang, M. M.(1995)。Data Base Mining Discovering New Knowledge and Cooperative Advantage。Information Systems Management，12(4)，26-31。  new window
33.Chen, Ming-Syan、Han, Jiawei、Yu, Philip S.(1996)。Data Mining: An Overview from a Database Perspective。IEEE Transactions on Knowledge and Data Engineering，8(6)，866-883。  new window
34.Fayyad, U. M.、Piatetsky-Shapiro, G.、Smyth, Padhraic、The, K. D. D.(1996)。Process for Extracting Useful Knowledge from Volumes of Data。Communications of the ACM，39(11)，27-33。  new window
35.Quinlan, J. R.(1986)。Induction of decision tree。Machine Learning，1(1)，81-106。  new window
36.Kass, G. V.(1980)。An exploratory technique for investigating large quantities of categorical data。Applied Statistics，29(2)，119-127。  new window
會議論文
1.Gandner, M.、Bieker, J.(2000)。Data mining solves tough semiconductor manufacturing problem。KDD 2000。  new window
2.Kittler, R.(1999)。Advanced statistical tools for improving yield and reliability。ISTFA，233-238。  new window
圖書
1.Pyle, D.(1999)。Data Preparation for Data Mining。Morgan Kaufmann Publishers。  new window
2.Quinlan, J. Rose(1993)。C4.5: Programs for Machine Learning。Morgan Kaufmann Publishers。  new window
3.Breiman, L.、Friedman, J. H.、Olshen, R. A.、Stone, C. J.(1984)。Classification and regression trees。Wadsworth International Group。  new window
4.Berry, Michael J. A.、Linoff, Gordon S.(1997)。Data Mining Techniques for Marketing, Sales and Customer Support。John Wiley & Sons, Inc.。  new window
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：1008（臺灣：997，外國：11） ／ 本年度總使用人次：2042760 ／ 訪客人次（自102年09月）：67861230
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上