IPD集成产品开发流程培训PPT

16SigmaProjectRoadmap2突破的不同阶段-DMAICDefineMeasureAnalyzeImproveControl定义问题测量现况确定Y=f(x)优化Y=f(x)标准化DDMMAAIICC3Define甘特图9.ProjectPlan:-整体的课题日程计划？10.ProjectCharter&Approvals:-项目登录书-CHAMPION的承认.组织结构表8.KeyPlayer-项目主要参与者有？,7.DevelopingBusinessCase:ProjectEstimated$impact-课题完成时的预期效果？标准定义6.Y&DefiningDefects:-我们关注的项目-Y的定义是？Y的缺陷(Defect)有？Macroprocessmapping5.ProjectScope&Boundary&Strategicrelation-项目的解决问题涵盖的产品与PROCESS的范围，-项目与部门目标，公司目标关系的连贯性说明.Histogram4.GoalStatement:现况(BSL)与目标(Goal)的陈述.现况必须是收集３个月以上数据，客户调查，Paretochart；Criticaltocustomer3.IdentifyCustomers&CTQ:-顾客是谁，顾客的CTQ是？Paretochart2.ProblemStatement:项目要解决的问题的严重性如何？,然后说明改善机会.Paretochart;Qctools;Histogram1.ProjectSelection:选定该项目的背景，以及对公司的影响。通常从VOB或VOC出发工具流程及目的4MeasureHistogram;TimesSerialsChart7.TrendChart在经过FMEA的Quickfix后,项目的现况如何?6.MeasurePhaseSummary我们关注的关键输出(KPOV)是?我们关注的关键输入变量(KPOV)是?FMEA(失效模式及后果分析)5.FMEA对”X”进行风险优先排序,采取Quickfix后对”X”重新排序C&EDiagram4.C&EDiagram:初步筛选原因”X”SIPOCChart;Processmapping;Fish-BoneDiagram3.Processmapping&FishBonediagram:初步寻找原因”X”VariableDataCapabilityanalyzeAttributeDataCapabilityanalyze2.CapabilityanalyzeofY:Y是属于计量型还是记数型?Y的工程能力是否能够满足要求?VariableMeasuresystemanalyzeAttributeMeasuresystemanalyze1.MSAofYY的测量系统属于计量型还是记数型?测量系统是否可以信赖工具流程及目的5AnalysisMuti-varianalyze3.Muti-varianalyze:使用多变量图直观的判断哪些”X”对”Y”有影响?Histogram;TimesSerialsChart6.TrendChart在经过FMEA的Quickfix后,项目的现况如何?5.AnalysisPhaseSummary我们关注的关键输出(KPOV)是?我们关注的关键输入变量(KPOV)是?1-SampleTtest;1-SampleZtest;2-SampleTtest;PairedTtest;Analyzeofvariance1-Proportiontest;1-Proportiontest;Chi-squaretest;RegressionandCorrelation;BinaryLogisticRegression;4.HypothesesTest:分别选择”X”的不同水准,判断对”Y”是否有影响?初步验证原因”X”VariableDataCapabilityanalyzeAttributeDataCapabilityanalyze2.CapabilityanalyzeofX:X是属于计量型还是记数型?X的工程能力是否能够满足要求?VariableMeasuresystemanalyzeAttributeMeasuresystemanalyze1.MSAofXX是否有测量系统?属于计量型MSA？记数型MSA?测量系统是否可以信赖?工具流程及目的6ImproveResponsesurfaceoptimizerOverlaidplot8.Responsesurfaceoptimizer寻找”Y”的最佳区域AddingStarpoint7.ExperimentaddingStarpoint在发现Centerpoint显著时,增加StarpointFullFactorialsExperimentDesignswithoutCenterpoint3.FullFactorialsExperimentDesigns:使用全因子实验进一步确定KPIVEvolutionaryOperation(EVOP)9.EvolutionaryOperation(EVOP)细调”X”进一步寻找”Y”的最佳区域ContourplotSurfaceplotPathsteepestascent6.Pathsteepestascent选择最快达到实验最佳目标的路径FullFactorialsExperimentDesignswithCenterpointMaineffectplot;Interactionplot;cubeplot4.FullFactorialsExperimentDesignswithCenterpoint判断”X”的Centerpoint是否显著?SaturationExperimentDesignsFractionalFactorialsExperimentDesigns2.FractionalFactorialsExperimentDesigns当”X”变量很多时,先进行ScreenBlockingExperimentDesigns1.DOEPlanKPOV是?Noise是?KPIV是?如何设置Noiselevel和KPIVlevel?工具流程及目的7ControlHistogram4.CalculationofCostsaving计算实际项目进行期间的项目收益及预想今后一年的财务收益1-SampleTtest;1-SampleZtest;2-SampleTtest;PairedTtest;Analyzeofvariance1-Proportiontest;1-Proportiontest;Chi-squaretest;RegressionandCorrelation;BinaryLogisticRegression;3.HypothesesTest:判断”Y”的改善是否在统计上是显著的?Controlplan6.ControlPlan文件标准化.ErrorProofing5SandTPM5.ErrorProofing采取防呆措施,防止错误复发.P-Chart;X-BarMRChartnpchart,I-MRChartuchart;X-BarSchartcchart;2.StatisticsprocesscontrolSPCofYSPCofXVariableMeasuresystemanalyzeAttributeMeasuresystemanalyze1.CapabilityAnalyzeCapabilityAnalyzeofY?CapabilityAnalyzeofX?工具流程及目的