题名

偏態校正方法之目標平均數管制圖的設計

并列篇名

The Design of Goal Average Control Chart through a Skewness Correction

DOI

10.6459/JCM.200903_6(1).0009

作者

高世州(S.C.Kao);李陽榮(Y.J.Li)

关键词

製程能力指標 ; 品質損失函數 ; 偏態校正 ; 管制圖 ; process capability index ; quality loss function ; skewness correction ; control chart

期刊名称

危機管理學刊

卷期/出版年月

6卷1期(2009 / 03 / 01)

页次

79 - 86

内容语文

繁體中文

中文摘要

近年來,製程能力指標(process capability index)與管制圖爲統計製程管制的重要工具之一,對於品質及生產力之改善有非常良好的效果。本研究利用製程能力指標結合損失函數與偏態校正(skewness correction)方法建構目標平均數管制圖,本研究所提出的管制圖較傳統管制圖更適合使用在偏態的製程上面;再者,因爲採取偏態校正的方法決定管制界限,因此本研究所提出的管制圖會有較低的型一錯誤(type I error)機率,並且也提供品質改善的目標建議。本研究以汽車風箱上蓋爲例,透過本研究所提出的方法評估產品製程,其結果顯示本研究的方法可協助企業改善產品品質、降低品質成本和提升市場競爭優勢。

英文摘要

Process capability index and control chart are important tools in the statistical quality control and they have a good effectiveness on monitoring and improving a process. The study considers the process capability index, quality loss function and skewness correction method to conduct a goal control chart. The proposed control chart is more suitable to be used to monitor a non-normal process than a traditional control chart. Moreover, the proposed control chart has low type I error probabilities on monitoring a non-normal process since it employs skewness correction method to determine control limits and provides a goal suggestion of quality improvement. This study also considers the proposed goal control chart using the top of a motor evaporator. In the example, the goal standard deviation and control limits can help practitioners in making production decisions and improving a process.

主题分类 社會科學 > 管理學
参考文献
  1. Wu, H.H.(2003).Quality management: a target costing approach.Journal of the Chinese Institute of Industrial Engineers,20,13-20.
    連結:
  2. Bai, D.S.,Choi, I.S.(1995).Control charts for skewed populations.Journal of Quality Technology,27,120-131.
  3. Boyes, R.A.(1994).Process capability with asymmetric tolerances.Communications in Statistics: Computation & Simulation,12,615-643.
  4. Boyles, R.A.(1991).The Taguchi capability index.Journal of Quality Technology,23,17-26.
  5. Chan, L.K.,Cheng, S.W.,Spiring, F.A.(1988).A new measure of process capability: Cpm.Journal of Quality Technology,20,162-173.
  6. Chan, L.K.,Cui, H.J.(2003).Skewness correction and Charts for skewed distributions.Naval Research Logistics,50,556-573.
  7. Chan, L.K.,Xiong, Z.,Zhang, D.(1990).On the asymptotic distributions of some process capability indices.Communication in Statistics-Theory and Methods,19,11-18.
  8. Chen, K.S.,Pearn, W.L.(1997).An application of non-normal process capability indices.Quality and Reliability Engineering International,13,355-360.
  9. Choi, B.C.,Owen, D.B.(1990).A study of a new capability index.Communications in Statistics: Theory and Methods,19,1231-1245.
  10. Choobineh, F.,Ballard, J.L.(1987).Control-limits of QC Charts for skewed distributions using weighted-variance.IEEE Transactions Reliability,36,473-477.
  11. Cowden, D.J.(1957).Statistical Methods in Quality Control.Englewood Cliffs, NJ:Prentice-Hall.
  12. Ferrell, E.B.(1958).Control charts for log-normal universe.Industrial Quality Control,15,4-6.
  13. Finley, J.C.(1992).ASQC Quality Congress Transactions.Nashville:
  14. Juran, J.M.,Gryan, F.M.,Bingharn, R.S.(1974).Quality control handbook.New York:Mc Gran-Hill.
  15. Kane, V.E.(1986).Process capability indices.Journal of Quality Technology,18,41-52.
  16. Kotz, S.,Johnson, N.L.(1993).Process Capability Indices.London:Chapman and Hall.
  17. Kotz, S.,Lovelace, C.R.(1998).Process Capability Indices: Theory and Practice.Arnold, London:
  18. Montgomery, D.C.(2005).Introduction to Statistical Quality Control.New York:John Wiley & Son.
  19. Pearn, W.L.,Kotz, S.,Johnson, N.L.(1992).Distributional and inferential properties of process capability indices.Journal of Quality Technology,24,216-231.
  20. Singhal, S.C.(1991).Multi-process performance analysis chart (MPPAC)with capability zones.Quality of Engineering,4,75-81.
  21. Taguchi, G.(1986).Introduction to Quality Engineering: Designing Quality into Products and Processes.Tokyo:Asian Productivity Organization.