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基于MVA分析的过程能力指数的置信区间研究 被引量:5

Confidence interval study on process capability indices based on MVA
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摘要 传统的过程能力分析假定过程存在单一变异源,在利用方差分量法估计嵌套型多变异源问题的总方差和各方差分量的基础上,给出了过程能力指数的估计方法,并推导了Cp的置信区间.案例应用表明:由于MVA方法对变异来源进行了充分分析和估计,所以能够科学合理的对过程进行评价. Traditional process capability analysis takes assumption that there is only a variation source in production/process quality characteristics. This paper presents a method for estimating process capability indices, which roots in nested mode of experiment design, and uses variance components to estimate total variance as well as each variance component. In addition, the confidence interval of Cp is derived based on MVA. A case is studied, and it is shown that MVA is good at analyzing the process variation patterns, so the method can remark the process scientifically and rationally.
出处 《管理科学学报》 CSSCI 北大核心 2007年第3期30-36,共7页 Journal of Management Sciences in China
基金 国家自然科学基金资助项目(70372062) 新世纪优秀人才资助计划(NCET-04-0240)
关键词 多变异分析 置信区间 方差分析 过程能力指数 multi-vari analysis confidence interval analysis of variance process capability indices
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参考文献16

  • 1Kotz S,Lovelace C.Process Capability Indices in Theory and Practice[M].Arnold:London,1998. 被引量:1
  • 2Chou Y.Selecting a better supplier by testing process capability indices[J].Quality Engineering,1994,6(3):427-438. 被引量:1
  • 3Juarn J M,Gryna F M,Bingham RS Jr.Quality Control Handbook[M].New York:McGraw-Hill,1974. 被引量:1
  • 4Kane V E.Process capability indices[J].Journal of Quality Technology,1986,18(1):41-52. 被引量:1
  • 5何桢,李国春,石金桥.工序质量分析与控制中的多变异分析方法[J].系统工程理论与实践,2000,20(5):42-45. 被引量:22
  • 6Burdick R K,Graybill F A.Confidence Intervals on Variance Components[M].New York:Marcel Dekker,1992. 被引量:1
  • 7Satterthwaite.An approximate distribution of estimates of variance components[J].Biometric Bull,1946,(2):110-114. 被引量:1
  • 8Montgomery D C,Runger G C.Gauge capability and designed experiments[J].Basic Methods,Quality Engineering,1993,(6):115-135. 被引量:1
  • 9Montgomery D C,Runger G C.Gauge capability and designed experiments[J].Experiments Design Models and Variance Component Estimation,Quality Engineering,1993,(6):289-305. 被引量:1
  • 10Borror C M,Montgomery D C,Runger G C.Confidence intervals for variance components from gauge capability studies[J].Quality and Reliability Engineering International,1997,(13):361-369. 被引量:1

二级参考文献32

  • 11998-10-05 被引量:1
  • 2[1] Montgomery D C. Introduction to Statistical Quality Control. 3r d edition. John Wiley and Sons, 1996. 被引量:1
  • 3[2] Montgomery D C. Design and Analysis of Experiments.4th edition. John Wiley and Sons, 1997. 被引量:1
  • 4[3] Irving W Burr. Applied Statistical Methods. New York: Academic Press, 1974. 被引量:1
  • 5[4] JMP Statistical and Graphical Guides. Cary, NC, USA: SAS Institute In c, 1996. 被引量:1
  • 6W.A.Shewhart.Economic Control of Qualily Manufactured Product[M].Van Nostrand Company.New Your,1931. 被引量:1
  • 7G.K.Fosler.Implementing SPC in Low Volume Manfacturing[J].ASQC Quality Congress Transaction,Dallas,1988. 被引量:1
  • 8Boeing Commercial Airplane Group.SPC for Short Runs and Advanced Control Methods[R],1991. 被引量:1
  • 9Kamaran Parsaye and Mark Hchigrell.The 8th,9th,and 10th Tools of Quality[J].Quality Progress,1993. 被引量:1
  • 10E.J.Davis,G.F.Scott and C.Obray.Statistical Pmcess Control for Quality Improvement[J].Quality forum,1993,19(1). 被引量:1

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