超赞的公司模板白领职场必备.ppt

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1、s s6 6Thru RTY InnovationAchieve10 million per yearLG Electronics/Digital Appliance Company LGETA MWOs s6 6Vision Vision 12.5 11.810,110.09.8(04 Target)(03,Million)TA(10.0)TA(11.1)Global No.1 MWO Division (05 Sales:M$385；Profit:8%)China Market Top 1 (05 China M/S:45%)Cost CompetitionVisionBefore 200

2、5Now As the basement of Profit TurnaroundFast InnovationFast GrowthGlobal PositionMWO Maker Benchmarking VisionVision1/19D MA I C s s6 6Big Y IssueBig Y Issue7.110.00203CMOProductivity loss Portfolio by CategoryHighLow PriceProfitHighQuality loss Parts loss Fast GrowthNew MDLq Accelerate tool shift(

3、0.7 1.8)q Shorten the development periodq Increasing number of partsM unit/year30%CMO(0.7cu.ft)CMO(0.81.1)OTRCMO(0.7cu.ft)CMO(0.81.8)BrownerOTR2/19D MA I C s s6 6InputOutputProcess Assy LinePressWeldingPaintingPurchase IQCOQCPCB Logistics system (Material,Product)Parts loss control Inspection System

4、 Box quality control Round Cavity strength PCB ICT FCT control Powder quality Gap defect.Product and Quality Strategy IR sensor quality Press line system Quick response system Outgoing Inspection system Material storage system Main IssueBig Y IssueBig Y Issue 0.7Cu.ft latch adjustment Door assy trou

5、ble Anode abnormal temp.0.7 UTC cavity Distortion P/Cord scratch Door dirty ProductionProcess System Assembly LinePainting PCBMFG 6 L/B improvement Powder thicknessBIG YLittle YAction WG Weld intensity Part qualityQuality YieldQuality up MFG 6 Line balanceMFG 6 Pressing PCB lead improvement Logistic

6、 Lead Time Quick ResponseLogistics TQ 6 NWT MFG 6RTYInnovation RTYTDRMFG 6MFG 6WeldingTQ 6 02.12Target12050%50%02.12Target3.52.7825%25%02.12Target3.52.5628%28%PCBPaintingLogisticsAssyMiscellaneous ratioRTYzRTYz02.12Target3.52.7521%21%60RTYz10 million per year Assurance Target 027.010.0M units/year30

7、%80859095RTYq60708090RTYp 3.0 3.5 4.0 4.5 5.0 5.5A AB BC CD D3.5EA/Hour3/19D MA I C s s6 6Better logisticsWorst logisticsIQCWaiting for?Stock Product stockAssy linePainting linePCB lineNeck Point Plan change Everyday Stock is not enough Elevator is not enough Packing Time too long Broken Box Check t

8、ime conflict Poor loading methodLogistics improvement Best practice-1Best practice-14/19D MA I C s s6 6Vendor and supervisor meeting ImproveFocusInvoice UnloadingChecking Load toolsStock CommunicateLoading toolLoad wayStock manageinspect systemVoice Of CustomerPlan change Everyday Stock is not enoug

9、hCan not unload in stockInvoice check is difficultElevator is not enoughPacking Time too longForklift is not enough irregulars training for loaderBroken BoxWaiting every procedure Check time conflict Poor loading methodPoor loading vehicle Incoming check time Poor part qualityStack managementLogisti

10、cs improvement Best practice-1Best practice-15/19D MA I C s s6 6Best practice-1Best practice-1Waiting for Ppk=-1.01Miscellaneous ratioEA/hOne-way ANOVA:make invoice,invoice,inspection,check,stock,recoverAnalysis of VarianceSource DF SS MS F PFactor 5 908047 181609 70.14 0.000Error 138 357333 2589Tot

11、al 143 1265379 Individual 95%CIs For Mean Based on Pooled StDevLevel N Mean StDev -+-+-+-+-make inv 24 14.70 5.71 (-*-)invoice 24 21.98 10.96 (-*-)inspecti 24 15.06 2.41 (-*-)check 24 26.75 15.64 (-*-)stock 24 229.85 122.93 (-*-)recover 24 8.27 4.47 (-*-)-+-+-+-+-Pooled StDev=50.89 0 80 160 240Make

12、invoiceInspect Stock Recover partCheck unloadInvoice checkLogistics improvement 8:0010:0013:0015:0017:0019:00111551361271521101409169201026Box Inject Press Two-way ANOVA:waiting versus time,partAnalysis of Variance for waiting Source DF SS MS F Ptime 5 23546 4709 10.20 0.001part 2 2302 1151 2.49 0.1

13、32Error 10 4619 462Total 17 30467 Individual 95%CItime Mean -+-+-+-+-100 11 (-*-)130 54 (-*-)150 11 (-*-)170 3 (-*-)190 0 (-*-)800 100 (-*-)-+-+-+-+-0 40 80 120 Individual 95%CIpart Mean -+-+-+-+-box 29.2 (-*-)inject 16.5 (-*-)press 44.2 (-*-)-+-+-+-+-0.0 16.0 32.0 48.0One-way ANOVA:waitingp versus

14、vendorAnalysis of Variance for waitingpSource DF SS MS F Pvendor 10 298536 29854 57.13 0.000Error 91 47551 523Total 101 346088 Individual 95%CIs For Mean Based on Pooled StDevLevel N Mean StDev -+-+-+-+-daxian 7 99.60 0.40 (-*-)douxing 9 74.40 9.01 (-*-)geleide 9 223.80 0.00 (-*-)henan 7 89.60 0.60

15、(-*-)lianhe 9 197.60 28.93 (-*-)lianhua 18 188.60 48.58 (*-)nix 9 63.80 0.00 (-*-)sanyue 9 124.80 2.77 (-*-)xian an 9 89.00 0.00 (-*-)xianhe 9 92.80 0.69 (-*-)xushi 7 155.60 1.60 (-*-)-+-+-+-+-Pooled StDev=22.86 60 120 180 2406/19D MA I C s s6 6D MA I C 7/19IQCStock Product stockAssy linePainting li

16、nePCB linePress stockSupport time controlLoad method Ppk=1.7720mmHVT container truckBe sure the way of turn around,enlarge the cartwheel 2 timesAdd pothook,make the container and load car can connect,1246032Jan.TargetJun.Lead time(min.)Box stockBest practice-1Best practice-1Logistics improvement Bes

17、t Practice 2Best Practice 2Assy RTY innovationAssy RTY innovation1.Cavity Prepare 2.Base Install3.L/Board Fix4.MGT Fix5.S/Guide Fix6.P/Cord Install7.Controller Fix8.Door Install09.Connection 110.Connection 211.Door Gap Adjust 12.Latch Adjustment13.Lamp Install14.Structure inspection15.Function inspe

18、ction16.Aging 17.Life test 18.O/Case Install19.O/Case Fix20.Leakage test21.Nameplate stickup 22.Last Inspection 23.Packing 24.Pack upPart and Function 234567891011121232119181613241415172022Appearance Through process mapping we found some procedure has problems99%95%99%99%99%98%82%98%99%93%83%99%99%

19、84%98%98%99%100%s s6 6Forget self checkLatch Adjust D/FrameLatchL/BoardCavityManOld or newMethod Mould agingTotal inspectionburrMachine Parameter injectionMaterial Gage aging The wayPPK=0.06 Latch 3 mould is CTQOne-way ANOVA:latch1,latch2,latch3,latch4Analysis of VarianceSource DF SS MS F PFactor 3

20、53.18 17.73 3.40 0.020Error 116 605.11 5.22Total 119 658.30 Individual 95%CIs For Mean Based on Pooled StDevLevel N Mean StDev -+-+-+-+-latch1 30 100.92 0.94 (-*-)latch2 30 100.92 0.76 (-*-)latch3 30 102.27 4.30 (-*-)latch4 30 100.52 0.95 (-*-)-+-+-+-+-Pooled StDev=2.28 100.0 101.0 102.0 103.0Latch

21、adjustment improvementBest practice-2Best practice-28/19D MA I C s s6 6Regression Analysis:time versus latch b,latch b-p,latch b-l,latchThe regression equation istime=-0.24+0.0176 latch b+0.0920 latch b-p+0.278 latch b-l-0.0148 latchPredictor Coef SE Coef T PConstant -0.243 3.481 -0.07 0.945latch b

22、0.01756 0.03172 0.55 0.585latch b-l 0.09197 0.02284 4.03 0.000latch b-p 0.27811 0.02761 10.07 0.000latch -0.01481 0.02400 -0.62 0.543S=0.02795 R-Sq=81.9%R-Sq(adj)=79.0%Regression Analysis:time versus latch b-p,latch b-lThe regression equation istime=0.019+0.0948 latch b-p+0.278 latch b-lPredictor Co

23、ef SE Coef T PConstant 0.0192 0.6785 0.03 0.978latch b-0.09475 0.02186 4.33 0.000latch b-0.27777 0.02589 10.73 0.000S=0.02717 R-Sq=81.6%R-Sq(adj)=80.2%PPK=2.19 PoolingLatch adjustment improvementBest practice-2Best practice-29/19D MA I C s s6 6Past filmHold Put filmPutTake offPress filmHold plateTur

24、n aroundHang 2.80.91.01.01.81.30.71.02.0Sec.03 2.30.80.80.91.71.20.70.81.1Ppk=-0.31 02 Chi-Sq=5.692+0.008+0.011+0.000+0.077+0.000+6.151+0.008+2.628+0.003+1.681+0.002+5.037+0.007+0.001+0.000+1.080+0.001+0.699+0.001+0.001+0.000=23.089DF=10,P-Value=0.010Scratch by Model AnalysisChi-Square Test:Defect2,

25、Total2Expected counts are printed below observed counts Defect2 Total2 Total 1 9 14783 14792 19.49 14772.51 2 5 14783 14788 19.48 14768.52 3 2 14784 14786 19.48 14766.52 4 62 14784 14846 19.56 14826.44Total 78 59134 59212Chi-Sq=5.642+0.007+10.764+0.014+15.683+0.021+92.114+0.122=124.367DF=3,P-Value=0

26、.000Scratch by Vendor AnalysisBest practice-2Best practice-2Door assy process improvement10/19D MA I C s s6 6Door assy process improvementAssy line Door line P/code S/guideAssy line Door line P/codeS/guideAdd total inspector to check itVendor package improve Press film2.10.70.80.91.71.20.70.81.0Past

27、 filmPut filmPutTake offHold plateTurn aroundPpk=1.9HoldHangBest practice-2Best practice-211/19D MA I C s s6 6Standard workVCD trainingStandard lineStandard sampleOther line Training Training ProcessProcessv Training for new employeev When line stop,trainingv Supervisor inspectionv inspect oneself.V

28、OC researchStandard modifyProcess training Best practice-2Best practice-212/19D MA I C Best Practice 3Best Practice 3Painting Process innovationPainting Process innovationRaw material Welding defectPainting defectPress LineStorage(L/P)Welding LineStoragePainting LineAssembling Lines s6 6Painting lin

29、e improvementProcess mappingHow to cause it(X)RackingPretreatmentSetting Water Dry OvenCoolingPowder SprayMaskingBakingInspectionJig QualityPosition Position HumidityRobot WorkPowder FlowTemperatureTimeJudgmentTemperatureConcentration Process mappingHow to cause it(X)Powder differentSlow line speedP

30、ainting robot defectProgram differentNew model new Problems Painting condition Powder condition Best practice-3Best practice-3Estimated Regression Coefficients for thicknesTerm Coef SE Coef T PConstant -348.0 326.545 -1.066 0.312distance 4.0 5.569 0.717 0.050gun speed 4.8 5.230 0.919 0.029powder 90.

31、0 103.561 0.869 0.015distance*distance -0.0 0.044 -0.737 0.178gun speed*gun speed -0.0 0.030 -0.802 0.341powder*powder -9.8 12.169 -0.802 0.241distance*gun speed -0.0 0.049 -0.393 0.403distance*powder -0.1 0.980 -0.131 0.298gun speed*powder -0.2 0.817 -0.282 0.183S=4.158 R-Sq=92.4%R-Sq(adj)=85.0%pow

32、derOptimize painting conditionGun speedDistance The best powder conditionepoxyFactors polyesterpigmentTi02level0.3000.03000.3050.03250.3100.03500.3150.03750.3200.04000.3250.3300.3300.3000.3050.3100.3150.3200.3250.3300.3300.3000.3050.3100.3150.3200.3250.3300.3300.03000.03250.03500.03750.0400additiveD

33、istance 35Gun speed 68Powder 3.28I35mm68mm/sBeforeAfterR-1 GUN powder controlResult 3425450PPMJan.Jun.13/19D MA I C s s6 6E s t i m a t e d R e g r e s s i o n C o e f f i c i e n t s f o r c o s t _ 1 Te rm Co e f S E Co e f T PConstant 0.498799 1.06587 0.468 0.045PG 0.016906 0.08130 0.208 0.037PSP

34、 0.016195 0.09905 0.164 0.002voltage 0.003204 0.00554 0.579 0.029S=1.1027 R-Sq=98.2%R-Sq(adj)=92.6%14/19Analysis of Variance for intencitySource DF Seq SS Adj SS Adj MS F PRegression 10 399.405 399.4050 39.94050 16.54 0.003 Linear 5 370.783 42.4636 8.49272 3.52 0.097 Interaction 5 28.623 28.6225 5.7

35、2450 2.37 0.183Residual Error 5 12.073 12.0725 2.41450 Total 15 411.478 Ppk=0.37Estimated Regression Coefficients for intencityT e r m C o e f S E C o e f T PConstant 0.525 34.493 0.015 0.088voltage 0.045 0.105 0.432 0.042PG -9.1 7 5 5.1 2 4 -1.7 9 1 0.0 3 3PSP -7.250 5.298 -1.368 0.029time 16.875 2

36、5.325 0.666 0.535dianji 627.500 506.498 1.239 0.070voltage*PG 0.034 0.016 2.188 0.080voltage*PSP 0.026 0.016 1.673 0.155voltage*time -0.065 0.078 -0.837 0.441voltage*dianji -2.700 1.554 -1.738 0.043PG*PSP 0.288 0.388 0.740 0.046S=1.554 R-Sq=97.1%R-Sq(adj)=91.2%PoolingPpk=1.19VoltagePGPSP02.1203.63.6

37、2.7521%21%RTYzPainting line improvementBest practice-3Best practice-3D MA I C Best Practice 4Best Practice 4PCBPCB lineline improvementimprovements s6 6PCB line improvement2.0mm4.04.0mmmmPpk=-0.74LEADHead Adjust ANVIL high(Head)1.2+0.5 1.5+0.1 SpecPre _CTQKnifeCUTTER12.5+0.2Part Eyelet 5mm10mmRTICTM

38、ANInsert AutoSoldering ICTLED SOLDERFCTC/P servePCB serveK/M past SCREWFCTAuto InsertSolderAssemblageBest practice-4Best practice-4Two-sample T for C1 vs C2 N Mean StDev SE MeanC1 10 2.1490 0.0152 0.0048C2 10 2.3420 0.0257 0.0081Difference=mu C1-mu C2Estimate for difference:-0.1930095%CI for differe

39、nce:(-0.21287,-0.17313)T-Test of difference=0(vs not=):T-Value=-20.41 P-Value=0.000 DF=18Two-sample T for C1 vs C2 N Mean StDev SE MeanC1 10 2.1490 0.0166 0.0053C2 10 2.3500 0.0205 0.0065Difference=mu C1-mu C2Estimate for difference:-0.2010095%CI for difference:(-0.21856,-0.18344)T-Test of differenc

40、e=0(vs not=):T-Value=-24.04 P-Value=0.000 DF=18Two-sample T for C1 vs C2 N Mean StDev SE MeanC1 10 2.1430 0.0241 0.0076C2 10 2.3410 0.0191 0.0060Difference=mu C1-mu C2Estimate for difference:-0.1980095%CI for difference:(-0.21842,-0.17758)T-Test of difference=0(vs not=):T-Value=-20.37 P-Value=0.000

41、DF=18 1.5 0.11.20.212.5 0.2HeadANVILCUTTER15/19D MA I C s s6 616/19Term Coef SE Coef T PConstant -325.8 534.135 -0.610 0.006cutter 44.4 84.500 0.525 0.001anvil -11.6 11.390 -1.017 0.033head 77.4 57.426 1.347 0.208cutter*counter -1.6 3.369 -0.467 0.651anvil*anvil -0.3 0.135 -2.408 0.037head*head -8.1

42、 3.369 -2.408 0.037cutter*anvil 1.0 0.904 1.051 0.318cutter*head -4.3 4.521 -0.940 0.369anvil*head 0.4 0.904 0.442 0.668S=0.1279 R-Sq=83.0%R-Sq(adj)=79.7%Finding Optimized ConditionPpk=-0.74Ppk=2.17Before After Cutter Anvil Head 12.5 1.2 1.5PCB line improvementBest practice-4Best practice-4D MA I C

43、Best Practice 5Best Practice 5Part quality innovationPart quality innovations s6 610 million TDR ActivityVendor parts improvementVendor Vendor TDR meetingBefore Now Quality?Vendor Best practice-5Best practice-517/19D MA I C Box viscosity improveElectronics timer improveZbench=0.08Zbench=0.68LOTRTN51

44、6534357251842%89.7%Jan.Jun.Jan.Jun.Ppk=0.05Ppk=1.23CTQ SYSTEMs s6 6System ControlControl Lead timeRTYq8085909560708090RTYp 3.0 3.5 4.0 4.5 5.0 5.5A AB BC CD DBar cord systemFeb.March.Apr.May.Jun.12296836432Quality ControlRTYFeb.March.Apr.May.Jun.3254224351410671939PPMMin.3.51D MA I C 10 million per

45、year Quality Assurance 03.01Before03.06Result32545141000Target(PPM)03.01Before03.06Result1203260Target75%(minute)Process QualityLead time$9,020 KProductivity03.1Before03.6ResultTarget(EA/M.h)10.8%7.48.08.284%18/19s s6 6Future PlanFuture PlanYft1Yft2Yft3Yft4Yft5Yft6Yft1Yft2Yft3Yft4vBlock DesignvBlock EMS vEMS SupportingvBuild OTR&Jumbo LinevSupport procedure cut 30%ProjectBeforeAfter AchieveLine lengthNumber of procedureLQC employeeT/Time99.7 m72.0 m27%63 37 41%5 4 15 Sec13 Sec13%Productivity(EA/MHr)3.5 6.6 88%0%Main IssueDMS Building19/19D MA I C Fast Growth Fast InnovationThank YouLGETA MWO