精益生产第三讲ppt课件.ppt

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1、LeanManufacturing/OperationsCG.RobinsonRecapPreviousLecture1.Gemba2.ValueStream/ProcessMappingwhymethodcurrentstateexercisefuturestateexercise3.SevenWastes4.VisualfactoryDataCollectionCG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionBarriersDatathathasbeenusedtorewardorpunishDe

2、cisionswhicharecontinuallydelayedbecause“weneedmoreData”DatathatiscollectedbutneveracteduponDatathatistheresultofsomeoneelse’sinspectionDatathatis“suspect”–i.e.,fudgedorjustmadeupDataCollectionCG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionQuestionsBeforecollectingdataestabli

3、shwhatquestionsyouwantthedatatoanswer.Thetypeofquestionaskedwillinfluencethetypeofdatacollectedandthemethodofanalysis.Mosttypesofquestionscanbecategorisedaseither:Summarisingthepast;orPredictingthefutureCG.RobinsonLeanManufacturing/OperationsMeasuresDatacollection“Dataislikegarbage,You’veg

4、ottoknowwhatyourgoingtodowithitbeforeyoucollectit”MarkTwainCG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionSheetsBenefits:Helpskeepthedataorganised.Ifwelldesigned,makescollectionofdatarelativelyeasy.Helpsmaintaintimeorder.Helpsdocumenttheconditionssurroundingtheprocessatthetim

5、ethedataisbeingcollected.CG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionAlwayscollectvariablesdatawhenitisavailable.Donotturnavariablequantityintoanattribute,e.g.,recordtheactualspeedofthecarnotjustwhetherornotitwasspeedingWhy?Mostoftheinformationinthedataislostwhenitisconver

6、tedfromameasurementtoacount.CG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionAttributesNon-SpeedersSpeedersSet1Set2(2)(2)(4)(4)CG.RobinsonLeanManufacturing/OperationsMeasuresDatacollectionVariablesSet1Set250556065707580859095MilesperHourCG.RobinsonLeanManufacturing/OperationsMe

7、asuresDatacollectionThetypeofdatayoucollectwilldictatethemethodofcollectionandanalysis.Qualitativedataisnon-numericaldataorinformationQuantitativedataisnumericaldataorinformationandcanbeclassifiedaseitherAttributesdata:Informationaboutthepresenceofsomefeature,