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LEAN/MANUFACTURINGPRINCIPLES
STUDENTBOOKLET
Lean/ManufacturingPrinciples
i
Unlessotherwisespecified,thisworkislicensedunderaCreativeCommonsAttribution-ShareAlike4.0InternationalLicense.
AcknowledgementsAerospaceJointApprenticeshipCommittee(AJAC),AmericanSocietyofMetals(ASM),TheBoeingCompany,NationalSTEMConsortium(NSC),Skills,Inc.,WMATI
AboutTheseMaterialsCopyright©2015byWashingtonManufacturingAdvancedTrainingInstitute(WMATI)TheCorePlus:ManufacturingSkillsCurriculumisacollaborationamongBoeing,WMATI,andSkills,Inc.
License
AttributionandCitationToattributethiscoursereferenceWashingtonManufacturingAdvancedTrainingInstitute(WMATI).
Someoftheslidedeck,activities,andlabprojectsarederivativeworksusedunderCC-BY4.0.NationalSTEMConsortium.(2015).Mechatronics.ProgramoftheNationalSTEMConsortium.Retrievedfromhttp://oli.cmu.edu.
DisclaimerThisworkforcesolutionwasbuiltfromopenlicensematerialsfrommanysources.Therearenoguarantees,warrantees,orassurancesofanykind,expressorimplied,withrespecttosuchinformation,includinganyinformationonlinkedsitesandincluding,butnotlimitedto,accuracyoftheinformationoritscompleteness,timeliness,usefulness,adequacy,continuedavailability,orownership.
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TABLEOFCONTENTSLEAN...................................................................................1
THEEIGHTTYPESOFWASTE...................................................1WHATDOYOUKNOWABOUTLEAN?......................................6THELEANTIMELINE..............................................................7THEVALUEOFTIMESECTION...................................................7QUESTIONS..........................................................................9KANBANPULLSYSTEM.........................................................10TEAMEVOLUTION................................................................11LEANGLOSSARY.................................................................13
SIXSIGMA.........................................................................16
WHYISITIMPORTANTTOCOLLECTACCURATEDATA?..................16SOLVINGPROBLEMSUSINGDMAIC.......................................17MEASUREPHASE.................................................................19ANALYSISPHASE..................................................................23IMPROVEPHASE..................................................................271SIXSIGMAACTIVITY:GUMMYBEARSINSPACE........................33SIXSIGMAGLOSSARY...........................................................39
THEORYOFCONSTRAINTS.................................................47
BOTTLENECKACTIVITY:‘I’MNOTABOTTLENECK,I’MAFREEMAN!’...............................................................47
BOTTLENECKACTIVITYQUESTIONS..........................................49
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LEAN
THEEIGHTTYPES OFWASTEDefects
Overproduction
Waiting
Non-utilizedtalent
Transportation
Inventory
Motion
Extraprocessing
DEFECTS :
Anythingnotmadetocustomerspecificationsthefirsttime.
Whatcausesdefects?
! Lackofprocesscontrols! Poorqualitymaterials! Lackoftraining! Poorworkinstructions
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OVERPRODUCTION:
Partsproducedbeforetheyareneeded.
Whatcanleadtooverproduction?
! Workingtoofast! Buildingforinventory
WAIT ING:
Timespentidleduringaprocess.
Whatcancausewaiting?
! Breakdowns! Longsetuptimes! Waitingfordecisionsorinformation! Unbalancedworkload
NON-UTIL IZED TALENT:
Notconsultingemployeeswhoareexpertsintheirparticulararea.
Reasonsfornotconsultingallavailabletalent:
! Businessculture! Lackoftrust! “Know-it-all”managers
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TRANSPORTATION:
Movingmaterialsaroundthefacility.
Reasonsforexcessivetransportation:
! Poorfacilitylayout! Largebatchesandstorageareas! Notorganizedintocells
Tip:Addwheelstosmallerpiecesofequipmentsoitbecomesmobile.Cellscanbebuilttoaccommodatetheworkbeingdone.
INVENTORY:
Anymaterialinexcessofwhat’srequiredforthenextstepintheprocess.
Whatcausescompaniestokeepinventory?
! Inefficientprocesses! Poorschedulingjustincase! Poorsuppliers! Fact:Inventoryincludesrawmaterials,
finishedproductandworkinprogress (WIP)
MOTION:
Movementofpeople,toolsormachinesthatdon’taddvalue.
Whatcancauseexcessivemotion?
! Poorworkstationlayout! Poorhousekeepingororganization! Havingtosearchforthings
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EXTRA PROCESS ING:
Doingmorethantheminimumrequestedbythecustomer.
EXAMPLE:POLISHINGPARTSTOAHIGHSHEENEVENTHOUGHTHECUSTOMERDIDNOTREQUESTIT.WHILETHEPARTSLOOKNICE,THECUSTOMERISNOTWILLINGTOPAYEXTRAFORIT.
Reasonsforextraprocessing:
! Incorrectperceptionofcustomerneeds! Redundantapprovalsandreports! Overinspecting! Engineeringchanges
Whatcanyoudoinyourareatoreducewaste?
! Makegoodparts! Onlymakeasmanypartsasneeded! Adjustprocessestominimizeidletime! Makesmallcontinuousimprovements! Organizeyourareaintocells! Makeyourprocessesasefficientaspossible! Keepyourworkstationorganized! Gettoknowcustomerrequirements
MarkthestatementsbelowastrueorfalsewitheitheraToranF:
LEANmanufacturingismostlyusedinautomobilemanufacturing.
Largebatchesaremanufacturedtoincreaseefficiency.
AlotofworkinprogressisOKifitisscheduledtobecompletedinlessthana month.
Timeiswastedintraditionalcompaniesbecausethemanufacturingstepsarefar apart.
Ittakeslongerfortraditionalcompaniestodeliverproductsbecausethereisalot ofwastedtime.
Smallerequipmentonwheelscanbeorganizedintocellstomakeworkmore efficient.
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TOOLS TO HELP IDENTIFY WASTE
Wastewalks:Aformalprocesswheretrainedteamsmovethroughthefacilityandidentifywastethendocumentitonstandardizedworksheets.
TIP:YOUCANINFORMALLYWASTEWALKYOURAREAANDMAKESMALLIMPROVEMENTSDAILY!
WhenadoptingLEANinyourcompany,findabigprocesswithalotofwasteandtargetthatprocessfirst.Thisstrategywillallbutensureanearlybigwin!
Spaghettidiagrams:Usedtoidentifythepathaproducttakesasitmovesthroughthemanufacturingprocess.
TIP:PRETENDYOUARETHEPARTANDMEASURETHEDISTANCEYOUTRAVELTHROUGHTHEFACILITY.
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WHATDOYOUKNOWABOUTLEAN?Directions:Markeachstatementastrueorfalse.
CompaniesthatpracticeLEANoperatedifferentlythantraditionalcompanies.
LEANcompaniesvaluetheiremployee’sinputs.
ThemainideaofLEANistoworkharder.
Reworkorfixingapartuntilthecustomerishappyisconsideredvalueadded.
TeamworkisextremelyimportantinaLEANenvironment.
Inspectingpartsisconsideredavalueaddedfunction.
Makinglargebatchesofproductisthemostefficientwaytomanufacture goods.
LEANonlyworksinmanufacturing.
LEANprinciplesallowemployerstocuttheworkforce.
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THELEANTIMELINE
THEVALUEOF TIMESECTION
CYCLE T IME:
! Howoftenapartorproductiscompletedafterrunningthroughtheentireprocess.! Amountoftimeanoperatortakestocompleteallworkelementsbeforerepeating
them.
Operatorcycletimeisthetimeittakesforapersontocompleteasequenceofoperationswithoutwaiting
Machinecycletimeincludestheloadingandunloadingofthepartintothemachine
Machineautomatictimeisthetimerequiredforthemachinetoproduceoneunit
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LEAD T IME:
Leadtimeisthetimeittakestomoveonepieceallthewaythroughtheprocessfromordertooutthedoor.
TAKTTIME:
! TAKTtimeiscustomerdemandexpressedintimeperunit.! TAKTtimeisconsideredthedrumbeattowhichproductionissetto.
CalculatingTAKTTime:
! Customerorders200unitsperday.
! Companyrunsone8hourshiftwith(2)tenminutebreaks,(1)tenminutecleanup.
! Converttimetosecondsanddividebydemandrate.
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QUESTIONSDirections:ReadtheexamplebelowanddeterminetheTAKTtimerequiredtoproducetocustomerdemand.
1. CompanyXreceivedanorderfromtheirlargestcustomerwhichrequiresthemtoproduce500unitsaday.Thecompanycurrentlyrunsone8hourshiftadayandemployeesareallotteda15minutebreakinthemorninganda15minutebreakintheafternoon.Employeesalsogeta30minutelunchbreak.Doyourcalculationsinthespaceprovidedbelow.
2. Whatwouldhappenifoneofthemachinesinyourprocesshadacycletimeofjustover1minute?
3. Istheprocesscapableofmeetingcustomerdemand?
4. Listacoupleofideasyoucouldtrytomatchproductiontocustomerdemand
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KANBANPULLSYSTEMInthisactivity,groupsof6studentswillbeaskedtocomparepushvs.pullmanufacturingprocesses.
Attheend,aclassdiscussionwillbeheldtoseetheadvantagesanddisadvantagestobothprocesses.
Reference:THECUPSGAME(Jackson,P.,TheCupsGameNSFProductRealizationConsortiumModuleDescription,Cornell,NY:CornellUniversity,1996)
EquipmentandSupplies
! Papercups,4dozen! Lids,4dozen! Straws,4dozen! Stickers,4dozenblueand1dozenred! CupHolders,1dozen
ThisactivitywasdesignedbyPeterJackson.Itillustratesthedifferencebetweenpushandpullproduction.Itisalsoeffectiveindemonstratingtheadvantagesofsmalllotmanufacturing.Thisactivitymakesaveryconvincingargumentforjust-in-timeproductionandhasconvertedmanyskeptics.
PartI
Theunitproductforthecupsgameconsistsofafour-cupholder,containingfourcups.Thecupshavelidsandstrawsandaremarkedwithanadhesivebluedot(seeFigure1).Thegamerequiressixparticipantswhiletherestoftheclassisinterestedspectators.
Agroupof6studentswillbeaskedtocompletetheproduct.
Figure1.Cupsgameunitproduct.
Thefirstparticipantisthesupplierandsuppliesallrawmaterialstotheworkstations.
Thenextfourparticipantseachworkataworkstation.Atthefirstworkstationfourcupsareplacedinthecupholder.Atthenextstationdotsareplacedonthecups.Atthethirdlidsareplacedonthecupsandatthefourthstationstrawsareunwrappedandinsertedintothelids.
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Thelastparticipantistheshipping/qualitycontrolstation.
PartII
Inourseconditerationwedemonstrateapullsystems.Kanbanspace(adequateforfourunits)isdefinedonthetablesusingtapeforeachworkstation.
WorkersareinstructedtoworkanewlotonlywhentheirKanbanisempty.
TEAMEVOLUTIONAllteamswillgothroughaseriesofstagesfromtheinitialassemblyoftheteamuntiltheybecomeacohesiveandhighlyproductiveunit.
FORMING:
Theteammeetsandlearnsabouttheopportunitiesandchallenges,andthenagreesongoalsandbeginstotacklethetasks.Teammemberstendtobehavequiteindependently.Theymaybemotivatedbutareusuallyrelativelyuninformedoftheissuesandobjectivesoftheteam.Teammembersareusuallyontheirbestbehaviorbutveryfocusedonthemselves.
Storming:
Toleranceofeachteammemberandtheirdifferencesshouldbeemphasized;withouttoleranceandpatiencetheteamwillfail.Thisphasecanbecomedestructivetotheteamandwilllowermotivationifallowedtogetoutofcontrol.Someteamswillneverdeveloppastthisstage;however,disagreementswithintheteamcanmakemembersstronger,moreversatile,andabletoworkmoreeffectivelyasateam.
Norming:
Inthisstage,allteammemberstaketheresponsibilityandhavetheambitiontoworkforthesuccessoftheteam’sgoals.Thedangerhereisthatmembersmaybesofocusedonpreventingconflictthattheyarereluctanttosharecontroversialideas
Performing:
Bythistime,theyaremotivatedandknowledgeable.Theteammembersarenowcompetent,autonomousandabletohandlethedecision-makingprocesswithoutsupervision.Dissentisexpectedandallowedaslongasitischanneledthroughmeansacceptabletotheteam.
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MatchingExercise
Directions:Matchthebehaviorbelowwiththecorrectstageofteamevolution,bywritingA,B,C,orDontheline.
Stages:
A.Forming B.Storming C.Norming D.Performing
1. Teammembersarecapableofmakingtheirowndecisions
2. Teammembersaremotivatedyetmaybeuninformed
3. Canbedestructiveifallowedtogetoutofcontrol
4. Teammemberstakeresponsibilityandworktowardteamgoals
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LEANGLOSSARYBatchandqueue:Themassproductionprocessofmakinglargelotsofapartandthensendingthebatchtowaitinthequeueuntilthenextoperationintheproductionprocessbegins.Contrastwithonepieceflow.
Bottleneck:Anypartofaproductionlinethatadverselyaffectsthroughput.Seealsoconstraint.
Cell:Anarrangementofmachinery,tools,andpersonneldesignedtomostlogicallyandefficientlycompleteaproductionsequence.Cellshelpenableone-pieceflow.
CellularManufacturing:Anapproachinwheremanufacturingworkcenters(cells)havethetotalcapabilitiesneededtoproduceanitemorgroupofsimilaritems;contraststosettingupworkcentersonthebasisofsimilarequipmentorcapabilities,inwhichcaseitemsmustmoveamongmultipleworkcentersbeforetheyarecompleted.
Chaku-Chaku:Amethodofconductingone-pieceflow,wheretheoperatorproceedsfrommachinetomachine,takingthepartfromonemachineandloadingitintothenext.
ChangeoverTime:Thetimethatelapsesbetweenthecompletionofoneproductionrunandthebeginningofanotherproductionrun.
Constraint:Anythingthatlimitsasystemfromachievinghigherperformance,orthroughput.
CycleTime:Theamountoftimetoaccomplishthestandardworksequenceforoneproduct,excludingqueue(wait)time.IfthecycletimeforeveryoperationinacompleteprocesscanbereducedtoequalTAKTtime,productscanbemadeinone-pieceflow.
Inventory:Themoneythesystemhasinvestedinpurchasingthingsitintendstosell.
Just-in-Time:Aproductionschedulingconceptthatcallsforanyitemneededataproductionoperationwhetherrawmaterial,finisheditem,oranythinginbetween,tobeproducedandavailablepreciselywhenneeded.
Kaikaku:Japanesefor“radicalimprovementofanactivity,”designedtoeliminatewaste.
Kaizen:Theincrementalandcontinualimprovementofproductionactivitiesaimedatreducingwaste,anddesignedaroundplanned,structuredworker-orientedevents.Japanesefor“totakeapartandmakegood.”
Kanban:Acardorsheetusedtoauthorizeproductionormovementofanitem.SeealsoKanbanSystem.
KanbanSystem:Asystemthatcontrolsproductioninventoryandmovementthroughthevisualcontrolofoperations.SeealsoKanban.
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LEANGLOSSARY, CONTINUEDLargeLotProduction:Themanufactureofthesameproductinlargequantitiesduringasingle,designatedperiodoftime.
LeadTime:Thetotalamountoftimeittakestocompleteanorderforacustomer.
LeanSupplierNetwork:Abuyer-supplierrelationshipwheredesignatedleanproductionprotocols,supportingsustainedinteractionsbetweenmembers,helpsproduceanetwork-basedcompetitiveadvantage.
MistakeProofing:Technologyandproceduresdesignedtopreventdefectsandequipmentmalfunctionduringmanufacturingprocesses.AlsoknowninJapaneseasPoka-Yoke.
Monument:Aproductionmachineortoolthatisdifficultand/orcostlytomove(e.g.,intoone-pieceflow)duetoitssizeorotherphysicalconstraint.Often,materialsmustinsteadbebroughttothemonumentinbatches.
Muda:TheJapanesetermforanyhumanactivitywhichabsorbsresources,butcreatesnorealvalue,i.e.,“waste”;activitiesandresultstobeeliminated.Withinmanufacturing,categoriesofwasteinclude:excessandearlyproduction;delays,movementandtransport;poorprocessdesign;inventory;inefficientperformanceofaprocess;anddefectiveitems.
Non-Value-Added:Activitiesoractionstakenthataddnorealvaluetotheproductorservice,makingsuchactivitiesoractionsaformofwaste.
One-PieceFlow:Asituationinwhichproductsproceed,onecompleteproductatatime,throughvariousoperationsindesign,order-taking,andproduction,withoutinterruptions,backflows,orscrap.Alsoknownassingle-pieceflow.
Point-of-Use:Asysteminwhichallnecessarysupplies,chemicals,etc.arewithinarm’sreachoftheworker,andpositionedinalogicalsequenceofuse.
Poka-Yoke:SeeMistakeProofing
Pre-ProductionPlanning(3P):Aleanmethodforproductand/orprocessdesign.3Pdesignsandimplementsproductionprocesses,tools,andequipmentthatsupportone-pieceflow,aredesignedformanufacturability,andachieveappropriatecost,quality,andleadtime.AlsoknownasProductionPreparationProcess.
PullProductionSystem:Aproductionsysteminwhichnothingisproducedbytheupstreamsupplieruntilaneedissignaledbythedownstreamcustomer.SeealsoKanban.
Right-sized:Thematchingofproductiontoolingandequipmentinascalethatenablesitsuseinthedirectflowofproductssuchthatnounnecessarytransportorwaitingisrequired.
QueueTime:Thetimeamaterialspendswaitinginlineforuseintheproductionprocess.
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LEANGLOSSARY, CONTINUEDSupplyChain:Agroupofallsuppliersinvolvedinthemanufactureofaproduct,beginningwiththesimplestpartandendingwiththeproductionofthefinalproduct.
TAKTTime:Theavailableproductiontimedividedbytherateofcustomerdemand.TAKTtimesetsthepaceofproductiontomatchtherateofcustomerdemandandbecomestheheartbeatofanyleansystem.
ValueStream:Thesetofspecificactionsrequiredtobringaspecificproductthroughthreecriticalmanagementtasksofanybusiness:problemsolving,informationmanagement,andphysicaltransformation.
ValueStreamMapping:Aprocessmappingmethodusedtodocumentthecurrentandfuturestatesoftheinformationandmaterialflowsinavaluestreamfromcustomertosupplier.SeeValueStream.
VisualControls:Displayingthestatusofanactivitysoeveryemployeecanseeitandtakeappropriateaction.
WorkInProgress(WIP):Productionmaterialintheprocessofbeingconvertedintoasaleableproduct.
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SIXSIGMA
WHYIS IT IMPORTANTTOCOLLECTACCURATEDATA?Companiesshouldalignimprovementeffortswithbusinessmetrics-especiallybottom-linebenefits.Samplemetrics:
! Customerperceptionofproductandservicequality! Customerperceptionofon-timedelivery! Customersatisfactionrating! Customerreturns! Productorservicedevelopmenttime
tomarket! Manufacturingorserviceleadtime! Inventoryturns! Productivity! Employeeretention! Safety! First-passyieldordefectrate! Costofscrapandrework!
LEADING AND LAGGING INDICATORS:
Laggingindicatorsaretypically“output”oriented,easytomeasurebuthardtoimproveorinfluencewhileleadingindicatorsaretypicallyinputoriented,hardtomeasureandeasytoinfluence.
Example:
Formanyofusapersonalgoalisweightloss.Aclearlaggingindicatorthatiseasytomeasure.Yousteponascaleandyouhaveyouranswer.Buthowdoyouactuallyreachyourgoal?Forweightlosstherearetwo“leading”indicators:
1. Caloriestakeninand
2. Caloriesburned.
These2indicatorsareeasytoinfluencebutveryhardtomeasure.
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SOLVINGPROBLEMSUSINGDMAIC! Define! Measure! Analyze! Improve! Control
DEFINE PHASE
Thepurposeofthisstepistoclearlyarticulatethebusinessproblem,goal,potentialresources,projectscopeandhigh-levelprojecttimeline.Thisinformationistypicallycapturedwithinprojectcharterdocument.
Definethefollowing:
! Aproblem! Thecustomer(s)! VoiceoftheCustomer(VOC)andCriticaltoQuality(CTQs)—whatarethecritical
processoutputs?! ThetargetprocesssubjecttoDMAICandotherrelatedbusinessprocesses! Projecttargetsorgoal! Projectboundariesorscope
VOCisatermusedforcapturingacustomer’sexpectations,preferencesandaversions.
ProjectCharter
Aprojectcharterisoftencreatedandagreeduponduringthedefinestepandshouldinclude:
! Compellingbusinesscase! Whytheprojectisimportantandwhataretheconsequencesofnotdoingthe
projectnow! Problemstatement! Specificandmeasurable! Defineshowlongtheproblemhasexistedandtheimpacttotheorganization! Projectscope! • Definestheboundariesoftheproject,becautiousofscopecreep
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! Goalsandobjectives! Sincenodatahasbeencollectedyet,setareasonablegoal! Milestones! Clearlydefinedrolesandresponsibilities! Projectchampionselectstheteamandensuresadequaterecoursesareavailable.
Theprojectchampionalsoisresponsibleforremovingroadblocksfortheteam.! AGreenBeltoraBlackBeltwillserveasteamleader! Acrossfunctionalteamfromallaffectedareas
Toolstodefinecustomerneedsandrequirements
Therearemanydifferentwaystocollectinformationfrompeople,severalarelistedbelow.Whataresomeoftheadvantagesanddisadvantageswitheachmethodlistedbelow.
Tool Advantage Disadvantage
Interviews
FocusGroups
MarketResearch
Surveys
CustomerObservations
Complaints
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MEASUREPHASEThepurposeofthisstepistoobjectivelyestablishcurrentbaselinesasthebasisforimprovement.Thisisadatacollectionstep,thepurposeofwhichistoestablishprocessperformancebaselines.Theperformancemetricbaseline(s)fromthemeasurephasewillbecomparedtotheperformancemetricattheconclusionoftheprojecttodetermineobjectivelywhethersignificantimprovementhasbeenmade.
THE DATA COLLECTION PLAN
TheDataCollectionPlandefineswhattypeofdatawillbecollectedduringaSixSigmaproject.Thistemplateprovidesaframeworkfordocumentingthewhat,whereandhowmuchofyourdatacollectionefforts.
DataCollectionExample:
Source:VillanovaUniversityLeanSixSigmaCourse,2014
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CHECK SHEETS
Thechecksheetisaform(document)usedtocollectdatainrealtimeatthelocationwherethedataisgenerated.
Example:
PARETO CHART
ThepurposeoftheParetochartistohighlightthemostimportantamonga(typicallylarge)setoffactors.Fromaqualityperspectiveitoftenrepresentsthemostcommonsourcesofdefects,thehighestoccurringtypeofdefect,orthemostfrequentreasonsforcustomercomplaints.
Example:
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Anyreasonforvariationinaprocesscanbeidentifiedandplacedintooneofsixcategories,collectivelyknownastheFiveM’sandOneP.
1. Machines:Typeofequipment,ageofequipment,wornparts,lackoforimproperservicing
2. Materials:Poorquality,somematerialsmoredifficulttoworkwith
3. MotherNature:Temperature,humidity,rain
4. Methods:Poorprocesses,lackoforpoorworkinstructions
5. Measurement:Poortraining,inadequateequipment
6. People:Poortraining,lackofcommunication,willfulviolations
Variationfallsintoeitheroneoftwocategories,commoncauseorspecialcause.
Commoncausevariation:Thereisnoinfluencefromanyofthe5M’sand1Pandthevariationisexpected,normalandrandom.
Specialcausevariation:Thereisundueinfluencefromatleastoneofthe5M’sand1Pandthevariationisunexpected,abnormalandnotrandom.
Answerthefollowingquestions.
1. Ifamachineproducespartswithincustomerspecificationswithveryfewdefectsduringdayshiftbuthashigherdefectsonthesecondshift,whatisthemostlikelycauseforthevariation?
2. Iftwosimilarmachinesbeingoperatedbythesamepersonwithinafacilityareproducingpartsandoneofthemismeetingspecificationsandtheotherisnot,whatisthemostlikelyreasonforthevariation?
3. Arebothanexampleofcommoncauseorspecialcausevariation?
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MEASURES OF CENTRAL TENDENCY
Meanistheaverageofasetofnumbers.
Medianisthemiddlenumberwhenthenumbersareplacedinorder.Modeisthenumberthatappearsmostfrequentlyinasetofnumbers.
Themeanhasonemaindisadvantage:itisparticularlysusceptibletotheinfluenceofoutliers.
Inanormaldistributionwhenthedataisperfectlynormal,themean,medianandmodeareidentical.
Youcansometimesconsiderthemodeasbeingthemostpopularoption.
Asetofnumberscanhavemorethanonemode.Asetofnumberswithtwomodesiscalledbimodal.
Source:VillanovaUniversityLeanSixSigmaCourse,2014
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ANALYSIS PHASEThepurposeofthisstepistoidentify,validateandselectrootcauseforeliminationbyexaminingthedataandwatchingtheprocess.
ProcessmappingisavaluabletoolthatcanbeusedintheanalyzephaseofDMAIC.
PieCharts:Atypeofgraphinwhichacircleisdividedintosectorsthateachrepresentaproportionofthewhole.
Histogram:Ahistogramisagraphicalrepresentationofthedistributionofnumericaldata.
Histogramstellyouhowdenseorspreadoutthedatais.
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Examplesofhistogramsandwhattheycantellus:
Source:VillanovaUniversityLeanSixSigmaCourse,2014
Whatcharacteristicofthedatasetsabovemakethembothcommoncausevariation?
a. Shape
b. Color
c. Numberofdatapoints
d. Withinspecificationlimits
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Althoughtheprocessshowninthehistogramabovemeetscustomerspecifications,wouldacustomerbehappywiththevariationinthisprocess?Why?
Thethrowbackeffectoccurswhenpartsthatmeasureoutsideofthespecificationlimitsaredeemedtobe“closeenough”andaredocumentedasbeingjustinsidetheupperorlowerspecificationlimit.
Thisspecialcausevariationisattributabletowhichofthe5M’sand1P?
a. Measure
b. People
c. Materials
d. Methods
Source:VillanovaUniversityLeanSixSigmaCourse,2014
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Runchart:Agraphthatdisplaysobserveddatainatimesequence.Often,thedatadisplayedrepresentsomeaspectoftheoutputorperformanceofamanufacturingorotherbusinessprocess.
CauseandEffect(Fishbone)Diagram:ACause-and-EffectDiagramisatoolthathelpsidentify,sort,anddisplaypossiblecausesofaspecificproblemorqualitycharacteristic.Itgraphicallyillustratestherelationshipbetweenagivenoutcomeandallthefactorsthatinfluencetheoutcome.
Fishbonediagramshelpdeterminetherootcausesofaproblemorqualitycharacteristicusingastructuredapproach.Theyalsoidentifyareaswhereadditionaldatashouldbecollectedforfurtherstudy.
Source:VillanovaUniversityLeanSixSigmaCourse,2014
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IMPROVEPHASEThepurposeofthisstepistoidentify,testandimplementasolutiontotheproblem;inpartorinwhole.Thisdependsonthesituation.Identifycreativesolutionstoeliminatethekeyrootcausesinordertofixandpreventprocessproblems.Usebrainstormingortechniquesanddon’toverlooktheobvioussolutionsiftheseareapparent.
OPEN PHASE:
! Generateasmanysolutionsaspossiblethatwillimproveperformance! Everyoneparticipates! Brainstorm! Don’tcriticizeideas
NARROWPHASE:
! Clarifysolutions! Eliminateduplicatesolutions! Breaksolutionsintosmallerbuckets! Vote
CLOSE PHASE:
! Identifymusthavecriteria.Anysolutionthatdoesnotmeetthiscriteriaisnotaviablesolution.
! Identifywantcriteriawhichcanbeusedtoprioritizesolutionsthatmeetthemustcriteria.
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CONTROL PHASE:
Thepurposeofthisstepistosustainthegains.Monitortheimprovementstoensurecontinuedandsustainablesuccess.Createacontrolplan.Updatedocuments,businessprocessandtrainingrecordsasrequired.
Whatgetsmeasuredgetsdone!Metricsarethefeedbackmechanismtotellwhetherorprocessesareworkingrightandreducingwaste.Measurethewrongthingandtheorganizationmovesinthewrongdirection.
MethodsofControl
StandardizationThroughputMatrix
HighStandardization
LowThroughput
Sales
RealEstate
HeartSurgery
Pilot
HighStandardization
HighThroughput
Manufacturing
LowStandardization
LowThroughput
Cooking
Craftsman
LowStandardization
HighThroughput
Short-orderCook
Lowstandardization/Lowthroughput:Useself-inspectionorperiodicreports
Lowstandardization/Highthroughput:Usebarcharts,piecharts,Paretochartsandbaseactionbasedonhistoricalperformance
Highstandardization/Lowthroughput:Usechecklistsandschedulestocontrolperformance
Highstandardization/Highthroughput:Usecontrolchartsandappliestoabout70%-80%ofallprojects
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ControlCharts
Agraphusedtostudyhowaprocesschangesovertime.Dataareplottedintimeorder.Acontrolchartalwayshasacentrallinefortheaverage,anupperlinefortheuppercontrollimitandalowerlineforthelowercontrollimit.Theselinesaredeterminedfromhistoricaldata.
Trendsshowageneraldirectioninwhichsomethingisdevelopingorchanging.
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UpwardTrend
AnupwardordownwardtrendisidentifiedbySixormoreconsecutivepointsincreasingordecreasing.
ProcessinControlTooLittleVariation
Aprocessincontrolwithtoolittlevariationisnotideal.Whilethecustomerissuretobehappy,youmaybeoverprocessingtheproductorusingthewrongequipment.
PointsOutofControl
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EightorMoreConsecutivePointsonOneSideofCenterline
Aprocesswithcommoncausevariationshouldproducedatapointsthatalternateoneithersideofthecenterline.
Whywouldmanyconsecutivedatapointsononesideofthecenterlineofacontrolchartbeacauseofconcern?
QualityControlDo’s:
! Definethelevelofquality! Useappropriatetoolsandtechniques! Standardizequalitycontrolpractices! Calculatecontrollimitsusingyourownprocessdata
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UsingControlChartstoIdentifyProblems
It’salwaysbeenaproblem
Itwasneveraproblembefore
Theproblemcomesandgoes
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SIX SIGMAACTIVITY: GUMMYBEARS IN SPACEActivityReference:http://www.leansimulations.org/2012/04/six-sigma-training-game-gummy-bear-doe.html
Postedby:MartinBoersema
OriginalAuthors:GeorgeW.Cobb,Mt.HolyokeCollege,WeiwenMiao,ColbyCollege
Description:Inthisactivity,studentswillbuildeasy-to-constructcatapultsandlaunchgummybearsmeasuringthedistancetheyfly.Thegoalistomeasurethedistancethatyourgummybeartravels,the“y”output(dependentvariable),anddeterminewhich“x”value(independentvariable)contributesthemost.
Inadditiontoallthevariabilitycausedbyjoiningthetwostickstogether,thecatapultitselfisplacedonanincline.Thepositionontheinclinecanbemeasuredandadjusted.
Video(2:29)GummyBearsinSpace:https://www.youtube.com/watch?v=iVjrYPcoITU
LearningTarget(Math):HowdoestheuseoffunctionsandmodelinghelpmaximizethelaunchingofgummybearsusingaSix-Sigmaapproach?
EquipmentandSupplies
! Gummybears,redandgreen! 2Popsiclesticks™foreachgroup! 2Rubberbandsforeachgroup! Pencilorpentoactasafulcrum! Ameasuringdevice(measuringtape)foreachgroup! Ananglemeasuringdevice(protractor)foreachgroup! Astackofbooksandaflatboardtoactasaramp
Directions:
1. Preparethelauncher:WraparubberbandtightlyaroundoneendofaPopsiclestick™.Theotherstickisplacedontopofthefirstandthesecondrubberbandwrapsthetwostickstightlytogetherattheotherend.Apencilorpenisslidinbetweenthetwosticktocreateafulcrum.Ifattachedproperly,itshouldbeaspringloadedcatapult.Youwillbeplacingagummybearandlaunchingit.
GummyBearImagePublicDomain:https://pixabay.com/en/gummy-bear-candy-bear-jelly-sweets-151400/
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2. Launch3greengummybearsoffthefloorandrecordthetrialnumberandlaunchdistanceonthegraphbelow.Labeleverythingclearly.
3. Launch3redgummybearsoffthefloorandrecordthetrialnumberandlaunchdistanceonthesamegraphbelow.Labeleverythingclearly.
4. Whichcolorlaunchedfarther?Whatcouldbethereasonwhyonecolorlaunchedfartherthantheother?
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5. InclineAngles:Withoutchangingtheset-up,launch5moregummybearsusing5differentinclineangles(addbooksandaramp),usingabiggerinclineangleeverytime.Measureandrecordtheinclineangles(usingtheprotractor)andthedistancelaunched.Usethegraphbelow.Makesuretolabelyouraxiscorrectly.(Identifytheindependentanddependentvariables.)
6. Isthisanexampleofalinearfunction?Ifnot,whatbestdescribesitsshapeandwhydothinkthatis?Whatisthemaximumpoint(x,y)?
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7. Designamodelthatmaximizesthelaunchingdistance.Thevariablesyoucannotchangearethecatapulthastobetwosticks,tworubberbands,andyouhavetolaunchagummybear.Testoutyourdesign,modifyasneeded.Whatwasyourmaximumdistance?
8. Identifywhichvariablesprovidedyourgroup’smaximumresult(inclineplane,movingthefulcrum,etc.).Whatworked?Whatdidn’t?
9. Compareyourgroup’sresultstotheothergroupsintheclassroom.Whatvariablesprovidedthemaximumresult?
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10. UsingtheEXACTvariables(orascloseaspossible)thatprovidedthemaximumresultsintheclassroom,trytoduplicatetheresults.Didyoursgoasfar?Ifyourswasthegroupthathadthemaximumdistance,seeifyoucanduplicatetheresults.Explainanypossibledifferences.
11. UsingtheSixSigmaterminology,explainwhatyourgroupdidinyourprocesstomaximizethelaunchdistance:
Design:
Measure:
Analyze:
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Improve:
Control:
Andremember,don’teatanygummybearsofftheshopfloor☺
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SIX SIGMAGLOSSARYAffinityDiagram:Atechniquefororganizingindividualpiecesofinformationintogroupsorbroadercategories.
ANOVA-AnalysisofVariance:Astatisticaltestforidentifyingsignificantdifferencesbetweenprocessorsystemtreatmentsorconditions.Itisdonebycomparingthevariancesaroundthemeansoftheconditionsbeingcompared.
AttributeData:Datawhichononeofasetofdiscretevaluessuchaspassorfail,yesorno.
Average:AlsocalledtheMean,itisthearithmeticaverageofallofthesamplevalues.Itiscalculatedbyaddingallofthesamplevaluestogetheranddividingbythenumberofelements(n)inthesample.
BarChart:Agraphicalmethodwhichdepictshowdatafallsintodifferentcategories.
BlackBelt:ApersonwhoreceivesapproximatelyfourweekstraininginDMAIC,analyticalproblemsolvingandchangemanagementmethods.ABlackBeltisafulltimeSixSigmateamleadersolvingproblemsunderthedirectionofaChampion.
BreakthroughImprovement:Arateofimprovementatornear70%overbaselineperformanceoftheas-isprocesscharacteristic.
Capability:Acomparisonoftherequiredoperationwidthofaprocessorsystemtoitsactualperformancewidth.Expressedasapercentage(yield),adefectrate(dpm,dpmo,),anindex(Cp,Cpk,Pp,Ppk),orasasigmascore(Z).
CauseandEffectDiagram:Apictorialdiagramintheshapeofafishboneshowingallpossiblevariablesthatcouldaffectagivenprocessoutputmeasure.
CentralTendency:Ameasureofthepointaboutwhichagroupofvaluesisclustered;twomeasuresofcentraltendencyaretheMeanandtheMedian.
Champion:AChampionrecognizes,defines,assignsandsupportsthesuccessfulcompletionofSixSigmaprojects;theyareaccountablefortheresultsoftheprojectandthebusinessroadmaptoachieveSixSigmaperformancewithintheirspanofcontrol.
Characteristic:Aprocessinputoroutputwhichcanbemeasuredandmonitored.
CommonCausesofVariation:Thosesourcesofvariabilityinaprocesswhicharetrulyrandom,i.e.,inherentintheprocessitself.
Complexity:Thelevelofdifficultytobuild,solveorunderstandsomethingbasedonthenumberofinputs,interactionsanduncertaintyinvolved.
ControlChart:ThemostpowerfultoolofStatisticalProcessControl.ItconsistsofaRunChart,togetherwithstatisticallydeterminedUpperandLowerControlLimitsandaCenterLine.
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SIX SIGMAGLOSSARY, CONTINUEDControlLimits:UpperandlowerboundsinaControlChartthataredeterminedbytheprocessitself.TheycanbeusedtodetectSpecialorCommonCausesofvariation.Theyareusuallysetat±3StandardDeviationsfromthecentraltendency.
CorrelationCoefficient:Ameasureofthelinearrelationshipbetweentwovariables.
CostofPoorQuality(COPQ):Thecostsassociatedwithanyactivitythatisnotdoingtherightthingrightthefirsttime.Itisthefinancialqualificationanywastethatisnotintegraltotheproductorservice.
Cp:Acapabilitymeasuredefinedastheratioofthespecificationwidthtoshort-termprocessperformancewidth.
CPk:Anadjustedshort-termcapabilityindexthatreducesthecapabilityscoreinproportiontotheoffsetoftheprocesscenterfromthespecificationtarget.
CriticaltoQuality:Anycharacteristicthatiscriticaltotheperceivedqualityoftheproduct,processorsystem.SeeSignificantY.
CriticalX:Aninputtoaprocessorsystemthatexertsasignificantinfluenceonanyoneorallofthekeyoutputsofaprocess.
Customer:Anyonewhousesorconsumesaproductorservice,whetherinternalorexternaltotheprovidingorganizationorprovider.
CycleTime:Thetotalamountofelapsedtimeexpendedfromthetimeatask,productorserviceisstarteduntilitiscompleted.-
Defect:Anoutputofaprocessthatdoesnotmeetadefinedspecification,requirementordesiresuchastime,length,color,finish,quantity,temperatureetc.
Defective:Aunitofproductorservicethatcontainsatleastonedefect.
Deployment(SixSigma):Theplanning,launch,trainingandimplementationmanagementofaLeanSixSigmainitiativewithinacompany.
DesignofExperiments:Generally,itisthedisciplineofusinganefficient,structured,andprovenapproachtointerrogatingaprocessorsystemforthepurposeofmaximizingthegaininprocessorsystemknowledge.
DesignforSixSigma(DFSS):TheuseofLeanSixSigmathinking,toolsandmethodsappliedtothedesignofproductsandservicestoimprovetheinitialreleaseperformance,ongoingreliability,andlife-cyclecost.
DMAIC:TheacronymforcorephasesoftheLeanSixSigmamethodologyusedtosolveprocessandbusinessproblemsthroughdataandanalyticalmethods.SeeDefine,Measure,Analyze,ImproveandControl.
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SIX SIGMAGLOSSARY, CONTINUEDDPMO:DefectsperMillionOpportunities.Thetotalnumberofdefectsobserveddividedbythetotalnumberofopportunities,expressedinpartspermillion.SometimescalledDefectsperMillion(DPM).
DPU:Thetotalnumberofdefectsdetectedinsomenumberofunitsdividedbythetotalnumberofthoseunits.
Entitlement:Thebestdemonstratedperformanceforanexistingconfigurationofaprocessorsystem.Itisanempiricaldemonstrationofwhatlevelofimprovementcanpotentiallybereached.
EpsilonЄ:Greeksymbolusedtorepresentresidualerror.
ExperimentalDesign:SeeDesignofExperiments.
FailureModeandEffectsAnalysis(FMEA):Aprocedureusedtoidentify,assessandmitigaterisksassociatedwithpotentialproduct,systemorprocessFailureModes.
FinanceRepresentative:ApersonwhoprovidesanindependentevaluationofaLeanSixSigmaprojectintermsofhardand/orsoftsavings.TheyareaprojectsupportresourcetobothChampionsandProjectLeaders.
FishboneDiagram:SeeCauseandEffectDiagram.
Flowchart:Agraphicmodeloftheflowofactivities,materialand/orinformationthatoccursduringaprocess.
GageR&R:Quantitativeassessmentofhowmuchvariation(repeatabilityandreproducibility)isinameasurementsystemcomparedtothetotalvariationoftheprocessorsystem.
GreenBelt:AGreenBeltisaparttimeLeanSixSigmapositionthatappliesLeanSixSigmatotheirlocalarea,doingsmaller-scopedprojectsandprovidingsupporttoBlackBeltprojects.
HiddenFactoryorOperation:Correctiveandnon-value-addedworkrequiredtoproduceaunitofoutputthatisgenerallynotrecognizedasanunnecessarygeneratorofwasteinformofresources,materialsandcost.
Histogram:Abarchartthatdepictsthefrequencies(bytheheightoftheplottedbars)ofnumericalormeasurementcategories.
ImplementationTeam:Across-functionalexecutiveteamrepresentingvariousareasofthecompany.ItscharteristodrivetheimplementationofLeanSixSigmabydefininganddocumentingpractices,methodsandoperatingpolicies.
Input:Aresourceconsumed,utilizedoraddedtoaprocessorsystem.SynonymouswithX,characteristic,andinputvariable.
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SIX SIGMAGLOSSARY, CONTINUEDInput-Process-Output(IPO)Diagram:Avisualrepresentationofaprocessorsystemwhereinputsarerepresentedbyinputarrowstoabox(representingtheprocessorsystem)andoutputsareshownusingarrowsemanatingoutofthebox.
IsikawaDiagram:SeeCauseandEffectDiagramandFishboneDiagram.
LeastSquares:Amethodofcurve-fittingthatdefinesthebestfitastheonethatminimizesthesumofthesquareddeviationsofthedatapointsfromthefittedcurve.
Long-TermVariation:Theobservedvariationofaninputoroutputcharacteristicwhichhashadtheopportunitytoexperiencethemajorityofthevariationeffectsthatinfluenceit.
LowerControlLimit(LCL):UsedwithControlCharts:thelimitabovewhichthesubgroupstatisticsmustremainfortheprocesstobeincontrol.Typically,3StandardDeviationsbelowthecentraltendency.
LowerSpecificationLimit:Thelowestvalueofacharacteristicwhichisacceptable.
MasterBlackBelt:ApersonwhohasreceivedtrainingbeyondaBlackBelt.Thetechnical,go-toexpertregardingtechnicalandprojectissuesinLeanSixSigma.MasterBlackBeltsteachandmentorotherBelts,theirprojectsandsupportChampions.
Mean:SeeAverage.
Measurement:Theactofobtainingknowledgeaboutaneventorcharacteristicthroughmeasuredquantificationorassignmenttocategories.
MeasurementAccuracy:Forarepeatedmeasurement,itisacomparisonoftheaverageofthemeasurementscomparetosomeknownstandard.
MeasurementPrecision:Forarepeatedmeasurement,itistheamountofvariationthatexistsinthemeasuredvalues.
MeasurementSystemsAnalysis(MSA):Anassessmentoftheaccuracyandprecisionofamethodofobtainingmeasurements.SeealsoGageR&R.
Median:Themiddlevalueofadatasetwhenthevaluesarearrangedineitherascendingordescendingorder.
Metric:Ameasurethatisconsideredtobeakeyindicatorofperformance.Itshouldbelinkedtogoalsorobjectivesandcarefullymonitored.
NaturalTolerancesofaProcess:SeeControlLimits.
NominalGroupTechnique:Astructuredmethodthatateamcanusetogenerateandrankalistofideasoritems.
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SIX SIGMAGLOSSARY, CONTINUEDNon-ValueAdded(NVA):Anyactivityperformedinproducingaproductordeliveringaservicethatdoesnotaddvalue,wherevalueisdefinedaschangingtheform,fitorfunctionoftheproductorserviceandissomethingforwhichthecustomeriswillingtopay.
NormalDistribution:Thedistributioncharacterizedbythesmooth,bell-shapedcurve.SynonymouswithGaussiandistribution.
ObjectiveStatement:Asuccinctstatementofthegoals,timingandexpectationsofaLeanSixSigmaimprovementproject.
Opportunities:Thenumberofcharacteristics,parametersorfeaturesofaproductorservicethatcanbeclassifiedasacceptableorunacceptable.
OutofControl:AprocessissaidtobeoutofcontrolifitexhibitsvariationslargerthanitsControlLimitsorshowsapatternofvariation.
Output:Aresourceoritemorcharacteristicthatistheproductofaprocessorsystem.SeealsoY,CTQ.
ParetoChart:ABarChartforAttribute(orcategorical)Datacategoriespresentedindescendingorderoffrequency.
ParetoPrinciple:ThegeneralprincipleoriginallyproposedbyVilfredoPareto(1848-1923)thatthemajorityofinfluenceonanoutcomeisexertedbyaminorityofinputfactors.
Poka-Yoke:AtranslationofaJapanesetermmeaningtomistake-proof.
Probability:Thelikelihoodofaneventorcircumstanceoccurring.
ProblemStatement:AsuccinctstatementofabusinesssituationwhichisusedtoboundanddescribetheproblemtheLeanSixSigmaprojectisattemptingtosolve.
Process:Asetofactivitiesandmaterialand/orinformationflowwhichtransformsasetofinputsintooutputsforthepurposeofproducingaproduct,providingaserviceorperformingatask.
ProcessCharacterization:Theactofthoroughlyunderstandingaprocess,includingthespecificrelationship(s)betweenitsoutputsandtheinputs,anditsperformanceandcapability.
ProcessCertification:Establishingdocumentedevidencethataprocesswillconsistentlyproducerequiredoutcomeormeetrequiredspecifications.
ProcessFlowDiagram:SeeFlowchart.
ProcessMember:Apersonwhoperformsactivitieswithinaprocesstodeliveraprocessoutput,aproductoraservicetoacustomer.
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SIX SIGMAGLOSSARY, CONTINUEDProcessOwner:ProcessOwnershaveresponsibilityforprocessperformanceandresources.Theyprovidesupport,resourcesandfunctionalexpertisetoLeanSixSigmaprojects.TheyareaccountableforimplementingdevelopedLeanSixSigmasolutionsintotheirprocess.
QualityFunctionDeployment(QFD):Asystematicprocessusedtointegratecustomerrequirementsintoeveryaspectofthedesignanddeliveryofproductsandservices.
Range:Ameasureofthevariabilityinadataset.Itisthedifferencebetweenthelargestandsmallestvaluesinadataset.
RegressionAnalysis:Astatisticaltechniquefordeterminingthemathematicalrelationbetweenameasuredquantityandthevariablesitdependson.IncludesSimpleandMultipleLinearRegression.
Repeatability:Theextenttowhichrepeatedmeasurementsofaparticularobjectwithaparticularinstrumentproducethesamevalue.SeealsoGageR&R.
Reproducibility:Theextenttowhichrepeatedmeasurementsofaparticularobjectwithaparticularindividualproducethesamevalue.SeealsoGageR&R.
Rework:Activityrequiredtocorrectdefectsproducedbyaprocess.
RiskPriorityNumber:Theaggregatescoreofafailuremodeincludingitsseverity,frequencyofoccurrenceandabilitytobedetected.
RolledThroughputYield:Theprobabilityofaunitgoingthroughallprocessstepsorsystemcharacteristicswithzerodefects.
R.U.M.B.A.:Anacronymusedtodescribeamethodtodeterminethevalidityofcustomerrequirements.ItstandsforReasonable,Understandable,Measurable,BelievableandAchievable.
RunChart:Abasicgraphicaltoolthatchartsacharacteristicsperformanceovertime.
ScatterPlot:Achartinwhichonevariableisplottedagainstanothertodeterminetherelationship,ifany,betweenthetwo.
ScreeningExperiment:Atypeofexperimenttoidentifythesubsetofsignificantfactorsfromamongalargegroupofpotentialfactors.
ShortTermVariation:Theamountofvariationobservedinacharacteristicwhichhasnothadtheopportunitytoexperienceallthesourcesofvariationfromtheinputsactingonit.
SigmaScore(Z):Acommonlyusedmeasureofprocesscapabilitythatrepresentsthenumberofshort-termStandardDeviationsbetweentheCenterofaprocessandtheclosestspecificationlimit.Sometimesreferredtoassigmalevel,orsimplySigma.
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SIX SIGMAGLOSSARY, CONTINUEDSignificantY:Anoutputofaprocessthatexertsasignificantinfluenceonthesuccessoftheprocessorthecustomer.
SixSigmaLeader:ApersonwholeadstheimplementationofLeanSixSigma;coordinatesallofthenecessaryactivities,assuresoptimalresultsareobtainedandkeepseveryoneinformedofprogressmade.
SixSigmaProject:Awell-definedeffortthatstatesabusinessprobleminquantifiabletermsandwithknownimprovementexpectations.
SixSigma(System):Aprovensetofanalyticaltools,projectmanagementtechniques,reportingmethodsandmanagementtechniquescombinedtoformapowerfulproblemsolvingandbusinessimprovementmethodology.
SpecialCauseVariation:Thosenon-randomcausesofvariationthatcanbedetectedbytheuseofControlChartsandgoodprocessdocumentation.
SpecificationLimits:Theboundsofacceptableperformanceforacharacteristic.
Stability(ofaprocess):AprocessissaidtobestableifitshowsnorecognizablepatternofchangeandnoSpecialCausesofvariationarepresent.
StandardDeviation:Oneofthemostcommonmeasuresofvariabilityinadatasetorinapopulation.Itisthesquarerootofthevariance.
StatisticalProblem:Aproblemthatisaddressedwithfactsanddataanalysismethods.
StatisticalProcessControl(SPC):Theuseofbasicgraphicalandstatisticalmethodsformeasuring,analyzingandcontrollingthevariationofaprocessforthepurposeofcontinuouslyimprovingtheprocess.Aprocessissaidtobeinastateofstatisticalcontrolwhenitexhibitsonlyrandomvariation.
StatisticalSolution:Adatadrivensolutionwithknownconfidence/risklevels,asopposedtoaqualitative,“Ithink”solution.
Supplier:Apersonorentityresponsibleforprovidinganinputtoaprocessintheformofresourcesorinformation.
Trend:Agradual,systematicchangeovertimeorsomeothervariable.
TSSW:ThinkingtheSixSigmaWay.AmentalmodelforimprovementwhichperceivesoutcomesthroughacauseandeffectrelationshipcombinedwithLeanSixSigmaconceptstosolveeverydayandbusinessproblems.
Two-LevelDesign:Anexperimentwhereallfactorsaresetatoneoftwolevels,denotedaslowandhigh(-1and1).
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SIX SIGMAGLOSSARY, CONTINUEDUpperControlLimit(UCL)forControlCharts:TheUpperLimitbelowwhichaprocessstatisticmustremaintobeinControl.Typicallythisvalueis3Standarddeviationsabovethecentraltendency.
UpperSpecificationLimit(USL):Thehighestvalueofacharacteristicwhichisacceptable.
Variability:Agenerictermthatreferstothepropertyofacharacteristic,processorsystemtotakeondifferentvalueswhenitisrepeated.
Variables:Quantitieswhicharesubjecttochangeorvariability.
VariableData:Datawhichiscontinuous,whichcanbemeaningfullysubdivided,i.e.canhavedecimalsubdivisions.
Variance:Aspecificallydefinedmathematicalmeasureofvariabilityinadatasetorpopulation.ItisthesquareoftheStandardDeviation.
Variation:SeeVariability.
VOB:VoiceoftheBusiness.Representstheneedsofthebusinessandthekeystakeholdersofthebusiness.Itisusuallyitemssuchasprofitability,revenue,growth,marketshare,etc.
VOC:VoiceoftheCustomer.Representstheexpressedandnon-expressedneeds,wantsanddesiresoftherecipientofaprocessoutput,aproductoraservice.Itisusuallyexpressedasspecifications,requirementsorexpectations.
VOP:VoiceoftheProcess.Representstheperformanceandcapabilityofaprocesstoachievebothbusinessandcustomerneeds.Itisusuallyexpressedinsomeformofanefficiencyand/oreffectivenessmetric.
X:Aninputcharacteristictoaprocessorsystem.InLeanSixSigmaitisusuallyusedintheexpressionofY=f(X),wheretheoutput(Y)isafunctionoftheinputs(X).
YellowBelt:Apersonwhoreceivesapproximatelyoneweekoftraininginproblemsolvingandprocessoptimizationmethods.YellowBeltsparticipateinProcessManagementactivates,participateonGreenandBlackBeltprojectsandapplyconceptstotheirworkareaandtheirjob.
Z–Score:SeeSigmaScore.
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THEORYOFCONSTRAINTSTheTheoryofConstraintsisatooltohelp“connectthedots”inthesystematicapproachofproblem-solving.
BOTTLENECKACTIVITY: ‘I ’M NOTA BOTTLENECK, I ’M A FREEMAN!’ References:http://www.agilecoach.net/coach-tools/bottleneck-game/
CCBYSA:[email protected]@portiatung.org
Inthischapter,yourinstructorwillbehandingoutasimulationactivity.7volunteersareneededforthesimulation.Theactivitywillbecompletedfourtimes.Aftereachtime,adebriefingwilltakeplace.Theclasswilldecidewho(where)thebottleneckisandhowtomakeimprovementstotheprocess.
Afteranimprovementprocesshasbeenagreedtoamongtheclass,gothroughtheactivityagain,repeatingtheprocessuntilithasbeencompletedfourtimes.
Instructions:
! 7membersarerequiredtoplaythe7rolesoftheteaminthesimulation.! Thesimulationrunsfor4roundsof5minuteseach,eachfollowedbyadebriefing.! Aplayermaystepoutofthesimulationwhenevertheywant.! Anothervolunteermaystepintotaketheirplace.! NoSpecialSkillsarerequired–directionswillbegiven.
EquipmentandSupplies:
! Pen! Paper! Coloredmarkersfordesigningthehatorboat
Goal:
! Tocreateasmanyboatsandhatsaspossiblefulfillingcustomerrequirements! Useasfewsheetsofpaperaspossible(minimizewaste)
Yourinstructorwill:
! Explainthetask.! Demonstratetheworktobeperformed(foldingahatandboatonetime).
The7rolesare(decidewhoisineachrole):
1. CustomerRequirement:Tellstheteamwhatthecustomerneedsare;providesthefoldingpapertotheteam;countshowmuchpaperwasused.
2. Analyst:Communicatesifmakingaboatorhat.Performstheinitialfolding.
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3. Designer:Continuesfolding.
4. Programmer:Finishesfolding.Ifthecustomerwantsahat,thereislittletodo.Ifthecustomerwantsaboat,thenfirstmakeahat,thenperformtheextrastepsrequiredtofoldaboat.Note:Theprogrammerjobsheetis2pageslong.
5. UserinterfaceDesigner:Decoratesahatwithexactlyonefloweroneachside.Decoratesaboatwithexactlythreeportholesoneachsideandexactlyoneanchorononeside.(Willneedcoloredmarkers.)
6. Tester:Verifiestheproductoftheteamagainsttheacceptancecriteria.Ifitdoesn’tpass,thenreturntothepersonresponsibleforthefault.
7. CustomerAcceptance:Performfinalacceptancecheckagainstthewrittencriteria.Countthenumberoffinishedboatsandhats.
Performthejobaswrittenthefirsttime.Youhave5minutes.
Debrief:
Lookingattheresults(completedbytheCustomerAcceptancerole),discussasaclass:
1. Who(where)wasthebottleneck?
2. Wherewastheproductpilingup?
3. Waseveryonebusyallthetime?
4. Wastheprocessofreturningafaultyhatorboattothepersonresponsibleefficient?
5. Howmuchwastewasthere?(time,paper,etc.)
6. Howdidtheworkersfeel?Howdoyouthinkthebottleneckfelt?
7. Whatimprovementscouldbemade?Decideasaclass.
Repeattheprocessuntilithasbeencompletedfourtimes.Improvingtheprocesseachstep.
1. Identifythebottleneck.
2. Exploitthebottleneck–reworkhis/herjob.
3. Subordinateeverydecisiontothebottleneck(theyarethemostimportantpartofthesystem).
4. Elevatethebottleneck–investtime/money/resourcesintothebottleneck.
5. Repeatprocess,untilitworks!
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BOTTLENECKACTIVITY QUESTIONSDirections:Answerthefollowingquestions.
1. Wherewasthebiggestbottleneck?Werethereothersmallerbottlenecks?Explain.
2. Nameatleastthreedifferentimprovementsthegrouptried.Didtheywork?Howwastheimprovementmeasured?
3. Didanybodydropoutandhavetobereplaced?Howdidthisaffecttheprocess?Issomeonedroppingoutrealistic?
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4. Canyounamesomethingthatwouldhelptheprocess,beforeitevenbegan?
5. Diagramtheoriginalprocessandpointoutwhereitneededimprovement.Thendiagramthefinal,improvedprocess.