D第一階段:階段(20第一階段:階段(20界定階段×1)1．6SIGMAA.GEB.摩托羅拉C.三星A.韓國3．6SIGMAB.減少缺陷降低成本C.A+BB.6SIGMA味著百萬機會中缺陷數(shù)為3.4C.6SIGMA味著公差界限內(nèi)能容納6個D.6SIGMA于CP=2,CPK=1.55．KANOB.一元質(zhì)量6．下列內(nèi)容中哪一個不是6SIGMA組織結(jié)構(gòu)A)ChampionB)MBBC)GBD)BBE)CFO7．6SIGMA論是：A.DMAICB.PDCAC.PSPD.SPC8.6SIGMAA.企業(yè)D.企業(yè)9.收集了個關(guān)于比薩餅配送的數(shù)據(jù),發(fā)現(xiàn)有25遲到,10太冷,7損失,8錯500誤的成分,請計算DPMOA.5%B0.1C.100000D.25000A.1)+2)B.1)+2)+3)C.1)+2)+3)+4)1)流程范圍2)組織范圍3)工作場所范圍4)產(chǎn)品范圍A.1)+3)B.2)+3)C.1)+4)D.2)+4)A.流程分析B.因果分析C.項目相關(guān)方分析B.P是產(chǎn)品C.O是輸出D.C是顧客920145.15A80%B60%C61.4%A都不滿足BA不滿足CA．60.94%B.7.75%C.78.06%D.27.85%Variance(ofVariance)RepeatabilityB.可行但需要改進C完全不可行Reproducibility5.6676Part-to-PartTotalVariationB.測量儀器C.零部件73.0981100.00RepeatabilityReproducibility2.38068Part-to-PartTotalVariationStudyVar%StudyVar(5.15*SD)(%SV)t121417192123252729l121416182123252729A.SummaryforPulse195%ConfidenceIntervalsA.FileB.DataC.StatD.GraphA.FileB.DataC.StatD.GraphA.1-tB.2-tC.1-ZD.1-PTestofmu=0.13vsnot=0.13Theassumedstandarddeviation=0.015100.1360000.004743(0.126703,0.145297)1.260.206A.生產(chǎn)正常B.生產(chǎn)不正常C.無法否認生產(chǎn)正常1030.91042.01046.01035.01056.81050.01035.31037.61046.01046.4，試問在顯著性水平0.05A.1-tB.2-tC.1-ZD.1-PTestforEqualVariancesforPulse1TestStatisticTestStatistic95%BonferroniConfidenceIntervalsforStDevsPulse1A.1-tB.2-tC.1-PD.2-PBoxplotofHeightvsSexth68iA.散點圖B.莖頁圖A.提出原因B.找到關(guān)鍵YC.提出改進方案D.確認關(guān)鍵原因改進階段(20×1)回歸分析、方差分析、DOEAAa．f=1b．f=3AAc．f=6=5d．fAATa．f=4=9b．fTTc．f=19=25d．fTTea．f=16=6b．feec．f=1=4d．fee165o6%8%10%1928353.32107.184.853.6389.395.756.0MINITABOne-One-wayANOVA:6%,8%,10%SourceDFSSMSFPFactor22943.41471.731.220.001Error6282.947.1Total83226.3S=6.866R-Sq=91.23%R-Sq(adj)=88.31%Individual95%CIsForPooledStDevLevelNMeanStDev--+---------+---------6%396.139.598%387.836.87(10%354.301.48(-----*-----)--+---------+---------48648B．6%與Scatterplotofyvsx5856545250y48464442400.050.10x0.150.20Worksheet:Worksheet1;2004-11-8;shippingcenterefficiencyPearsoncorrelationofxandy=0.950Theregressionequationisy=35.45+92.64xS=1.85366R-Sq=90.3%R-Sq(adj)=89.1%AnalysisofVarianceRegression1255.412255.41274.330.000827.4889282.900A.線性關(guān)系是顯著的B線性關(guān)系是不顯著的C無法判斷線性關(guān)系Theregressionequationisy=40.64-30.48x+550.5x**2S=0.969896R-Sq=97.7%R-Sq(adj)=97.0%AnalysisofVarianceRegression2276.315138.158146.870.0009282.900SequentialAnalysisofVariance1255.41274.330.000Quadratic120.90422.220.002A.FactorialB.ResponseSurfaceC.MixtureA.FactorialB.ResponseSurfaceC.MixtureA.1B.2C.3D.4GeneralLinearModel:結(jié)果versusA,B,CSourceDFSeqSSAdjSSAdjMSFP21421.61421.6710.812.230.07625686.95686.92843.448.930.0202427.6427.6213.83.680.214Error2116.2116.258.1Total87652.2LeastSquaresMeansfor結(jié)果AMeanSEMean1185.04.4012198.04.4013167.34.4011161.74.4012218.74.4013170.04.4011185.04.4012174.34.4013191.014.4074.在=0.1下,哪些因子是顯著的A.BB.A和BC.A、B和CD.A和CA.AB1CB.AB1C2C.AB2C3D.A2C1322MainEffectsPlot(fittedmeans)果for22020018016090011001300101112ofnea220M200180160708090Worksheet:Worksheet1;2004-11-10;shippingcenterefficiencyNormalProbabilityPlotoftheStandardizedEffects(response結(jié)果,Alpha=.05)99959080AEffectTypeNotSignificantSignificantFactorABCDNametnecer7060504030201051BC-5.0-2.50.02.5StandardizedEffect5.0Worksheet:Worksheet3;2004-11-10;shippingcenterefficiencyA.AB.BCC.DD.A+BA.多路傳輸B.SWOT分析D.TOC分析StDev(Within)3.09252m-1a-24.[1](多選)六西格瑪管理方法:5.[1](多選)推進六西格瑪管理的目的就是要6.[2]在質(zhì)量功能展開(qualityfunctiondeployment,QFD)中,首要的工作是:D.關(guān)聯(lián)圖C.規(guī)范期1.項目目標4.項目團隊成員D.1,2,3,和412.[3]在項目特許任務書(teamcharter)中,需要陳述"經(jīng)營情況"(businessA.為什么要做該項目13.[3](多選)親和圖(affinitydiagram)可應用于以下場合:A.選擇最優(yōu)方案14.[4]有關(guān)質(zhì)量成本的描述,正確的是:(35,45〕(45,55〕(55,65〕(65,75〕析后發(fā)現(xiàn)重復性(repeatability)標準差為3微米,再現(xiàn)性(reproducibility)標Cp=1.65,Cpk=0.92.這時,應該對生產(chǎn)過程作出下列判斷:34.[6]回歸方程^Y=30-X中,Y的誤差的方差估計值9,擬合回歸方程的數(shù)據(jù)點超A.(23,35)B.(24,36)C.(20,38)D.(21,39)35.[6](多選)在下列哪些情況中可以使用方差分析方法:Factorialfit:yversusA,B,C,DAnalysisofVariancefory(codedunits)Main