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Deloitte.Insghts
AreportfromtheDeloitteCenterforIntegratedResearch
Digitalleanmanufacturing
Industry4.0technologiestransformleanprocessestoadvancetheenterprise
AbouttheDeloitteCenterforIntegratedResearch
Deloitte’sCenterforIntegratedResearchfocusesondevelopingfreshperspectivesoncriticalbusinessissuesthatcutacrossindustriesandfunctions,fromtherapidchangeofemergingtechnologiestotheconsistentfactorofhumanbehavior.Welookattransformativetopicsinnewways,deliveringnew
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TheUSSupplyChain&NetworkOperationspracticeadvises,implements,andoperates
transformationalsolutionsthatbringworld-classsupplynetworkcapabilities,operational
know-how,digitaltechnologies,andadvancedanalyticstodeliverunprecedentedclientvalue.Tolearnmore,visit
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Contents
Aneweraoflean2
Whatislean?3
Digitalleanasagamechangerforcontinuousimprovement4
Digitalleaninmanufacturingplants:Leantoolsenhanced6
Benefitsofdigitallean9
Avoidingthechallengesofdigitallean11
Concludingthoughts:Awaytogetstarted13
2
Digitalleanmanufacturing
Aneweraoflean
L
EANPRINCIPLESHAVEplayedasignificant
roleindrivingefficiencyacrossorganizations
throughtheiremphasisoncostreduction,
focusonwasteelimination,andrelianceonlettingcustomerdemandsdriveprocesses.Althoughleanoriginatedinmanufacturing,itscoretenetsare
foundacrossmanykindsofenterprisesand
appliedindiverseways.Leancanworkinwhateverdomainitisappliedbecauseitprovidesadata-
basedapproachtodecision-making,emphasizingthetrackingofrootcauses.Leanisoften
consideredoptimalforidentifyinghiddenissuesandemphasizescontinuousimprovement.1
Theapplicationofleanprincipleswithina
manufacturingcontextextendsbackseveral
decades,eveniftheessentialideaofreducing
wasteanddrivingefficienciesexistedlongbeforetheterm“l(fā)ean”wascoined.Butleanaswe
understandittodayhascoalescedintoasetofprinciplesthathastransformedmanufacturing.
Fortheirpart,inmorerecentyears,Industry4.0digitalandphysicaltechnologieshavemade
possiblenewaccomplishmentsofspeed,cohesion,flexibility,andautomationthathaveforever
alteredwhatproductionlookslike.Advancesin
robotics,materials,andartificialintelligenceareallpoisedtobethefuturevanguardsofmanufacturingandbeyond.2
Asaresult,digitaltechnologiesandleanprinciplesareintersectinginwhatiscommonlytermed
“digitallean”—whichcanbeapowerfulcombination
oftimelessleanprinciplesandconstantlyevolvingdigitaltechnologiestodecreasewasteand
variabilityinprocesses.
Theemergenceofthisnewerabegsnewquestions:
HowdoIndustry4.0digitalandphysical
technologiesenhanceleanmanufacturing?Whatprinciplesofleanmanufacturingremainrelevanttoday,willberelevantinthefuture,andapplytocompaniesembracingdigitallean?Whataresomeofthebenefitsofdigitallean—andcommonpitfallsthatpractitionersshouldavoid?Howshoulda
practitionerevengetstarted?Thisreportaimstoanswertheseandotherquestionsinexploring
howIndustry4.0enablescompaniestobecomedigitallean.
WHATISINDUSTRY4.0?
TolearnmoreabouthowIndustry4.0signifiesthepromiseofanewindustrialrevolution—onethatmarriesadvancedproductionandoperationstechniqueswithsmartdigitaltechnologiesto
createadigitalenterprise—visitthe
DeloitteInsightsIndustry4.0collection
.
3
Whatislean?
ITHROOTSINJapaneseautomobile
manufacturingthatdatebacktothe
W
1930s,leanrepresentsasetofprinciplestominimizewaste,enablingmoreproductivetime.And,despiteitsmanufacturingpedigree,leancanworkinanyprocess-drivenenvironmentregardlessofindustry.Theendobjectiveofleanistoidentify—andeliminateorchange—anypartofaprocessthat
doesnotaddvalue.Insodoing,leanenables
quickerresponsestochangingcustomerdemandsandresultsinfasterandmorerobustproduction,increasedquality,andlowercosts.
Figure1depictstheseventypesofwastethatleanprocessescommonlyaimtoeliminate.3
FIGURE1
Thesevenkindsofwaste
Inventory
Workingcapitaland spaceusedforrawmaterials,components,andwork-in-progress
and?nishedproducts
Transport
Transportofmaterialsacrosslocationsthataddszerovaluetothe
wasteproduct
Movement
Movementof
personnelor
machinerythat
addszerovalueto
theproduct
thatincreaseslead
timetoful?ll
customerdemand
△
Defects
Materials,labor,andtimeusedtoproducenoncompliantproducts
Overproduction
Capacityutilizedtoproducegoodsthatarenotrequired
Overprocessing
Unnecessaryuseoftechnologies,technical
speci?cations,
oversized
equipment,and
resources
Waiting
No-value-addedtime
7typesof
Source:Deloitteanalysis.
4
Digitalleanmanufacturing
Digitalleanasagamechangerforcontinuousimprovement
D
IGITALLEANISnotanewsetoflean
principles,perse,butitenhanceslean
principlestomaketheirapplicationmorepowerful.Whilesystemsofrecord,suchas
enterpriseresourceplanning,oftenreporton
operationsastheyimpactcompanyandplant
financials,manydigitalleansystemsofinnovationproducedetailedinformationonallaspectsofa
process.DigitalleanusesIndustry4.0andother
digitaltoolstoprovidemoreaccurate,precise,andtimelyinformationaboutoperations.Itnotonly
helpsrealizeleanprinciplesbutalsoincreasestheimpactofcoreleantools,suchaskanban,whichwewilldiscusslater.Moreover,theincreased
availabilityofhigh-frequencydatafromIndustry4.0technologies,coupledwithgrowingprocessingpower,hasledtonewanalyticsandinsightsthatwerevirtuallyimpossibleseveralyearsago.
Thereductionofwaste:Traditionalvs.digitallean
Digitalleancancomplementthegainsfrom
traditionalleaninreducingthewastetypesduringproductiondepictedinfigure1.Digitallean
accelerateswasteidentificationandmitigationfasterthantraditionalleanmethodsbygiving
targeted,detailedinformationdirectlytothosewhocanreducewaste.However,digitalleanalsoprovidesanopportunitytotargethidden
componentsofwaste,suchasinformation
asymmetryandlatency,thatoftengounnoticedandthatcumulativelyadduptohighersupportcostsandreducedefficiencyandoutput,resultingintangiblebottom-lineimpact.
Figure2illustrateshowbothtraditionalleananddigitalleanprocessestypicallymitigatethesevenwastetypes.
Keyenablersofdigitallean
Digitalleangenerallyrequiresthreekeyenablersataplant,andeveryplantwillhavedifferent
immediateneedsacrossthethreeareas.4
GETTINGTHEDATA:ITANDOTCOLLABORATION
PriortoIndustry4.0,informationtechnology(IT)andoperationaltechnology(OT)weremostlytwodistinctareaswithlittletonooverlap.Tounlockitsfullpotential,digitalleanrequiresanintegrationofITandOT(controlsystems,industrialnetworks,etc.),whichbringsplantandoperationsdatato
plantandbusinessusers.
STANDARDIZEDPROCESSES:PROCESSANDDATAMANAGEMENT
Plantprocessesgeneratedatathatservesasinputfordigitallean.Butifprocessesarenotcarriedoutwithstandardizationanddiscipline,accurateandcontinuousdatacouldnotbeforthcoming.Asa
result,theimpactofadigitalleaninitiativewouldbemuted.Keyinthisregardistheroleofplantleadershipindefiningandenforcingprocessestoultimatelyprovidemoreaccuratedata.
BRINGINGTHEPROCESSTOLIFE:DATA-ENABLEDTECHNOLOGYPLATFORMS
AsimportantasITandOTcollaborationanddisciplinedprocessanddatamanagementare,relevanttechnologicalplatformsshouldbe
5
leveragedtotrulyharnessthebenefitsofdigitallean.Whenchoosingatechnologyplatform,suchasadigitaltwin,organizationsshouldbesureto
considerfactorssuchasplatformflexibility,integrationwithothersystems,anddata
administration.
FIGURE2
Howdigitalleancanimproveontraditionalleanwastereduction
Wastetype
Whattraditionalleanidentifiesandmitigates
Howdigitalleanimprovesontraditionallean
OverproductionTraditionalleanmitigatesthe
overproductioncausedbythe
asynchronizationbetweendemandandsupply,includingdelayeddemandsignalsandrigidprocessesconstraints.
Digitalleancanprovidereal-timevisibilityintothevaluestreamtoproactivelyadjustcapacity,avoidingthebuildingofgoodsthatarenotrequired.
Inventory
Instabilityacrossthevaluestreamis
oftenabsorbedinadditionalinventory.
Leanmethodsallowproductstobe
manufacturedonlyinthequantityneededandatthetimerequired.
Digitalleancanenhanceoperationswith
real-timevisibilityofthework-in-progress
inventorythroughouttheproductionprocesstoidentifyunexpectedinventorybuildup.
Defects
Poorproductdesignandprocesscontrol
increasedefectsacrossthevaluestream,
causingreworkorscrap.Traditionallean
canhelpreducedefectsbyestablishing
standardsinthewayassetsaremaintained,processesaredefined,andproductsare
designed.
Digitalleanhelpsidentifythepreciseasset,processstep,orproductfeaturethatis
causingdefectsandreducingfirst-passyield.
Overprocessing
Traditionalleancanhelpavoidprocessingnotrequiredbythecustomerthatis
performedacrossthevaluestream,suchasoverinspectionorunnecessaryhigh
tolerances.
Digitalleanconnectsandintegratesthelifecycleofaproduct(andthevaluestream)
throughadigitaltwin:acontinuousthreadofdatamirrorsdevelopment,production,
andusethatstretchesfromtheinitialdesignthroughthelifetimeoftheproduct.
Waitingtime
Unbalancedoperations,bottlenecks,
downtime,andpoorproductionplanning
increasethewaitingtimealongtheprocess,whereemployees,materials,andassets
arenotaddingvalue.Traditionalleanapproacheshelpmitigatewaitingtime.
Digitalleanreduceswaitingthroughdynamicreroutingofoperationsbasedonupdates
onthereal-timestatusofassets,quick
identificationofbottlenecks,andmultiplesimulationsofoptimizedscenarios.
Workermovement
Poordesignofproductionlinesand
cellsincreaseunnecessarymotionfor
operatorstocompletevalue-addedtasks.Leanprocessesaddresstheseadditionalmovementsthatdonotaddanyvalue
totheproductandcontributetolongerproductiontimes.
Digitallean,throughanalyzingperformancedataorusingaugmentedandvirtualrealitysimulations,canbetterinformthedesignoflayoutsandequipmenttooptimizeworkermovement.
Transport
Leanreducesthenonlinearprocesses—orprocessesscatteredacrosstheshopfloor—thatrequiretransportationofmaterials
fromdistantstoragetothepointofuse.
Digitalleancanquantifytheamountoftransportationtimerequiredperproductorprocess,enablingtheidentificationofopportunitiestobetterstreamlineand
organizetheshopfloor.
Source:Deloitteanalysis.
6
Digitalleanmanufacturing
Digitalleaninmanufacturingplants:Leantoolsenhanced
A
SDISCUSSED,THEcoreprinciplesoflean
canhelpusidentifythetypesofwasteto
eliminate.However,astheseprinciplesarethematic,itisimportanttodrilldownalevel
furthertounderstandthetacticaldriversof
traditionalanddigitalleanthataffectthemoregranulartasksandactivitiesinamanufacturer’sleanprogram.
Take,forexample,thecaseofamedicalequipmentmanufacturer.Inthatenvironment,thecredomaybetocraftahigher-qualityproduct,yettherearesomanywaystodosobyinnovatingorimprovingthepeople,processes,ortechnologiesontheshopfloor.Withhighmoraleandrobusttraining,a
worker’sproductivityandattentiontodetailmayincrease.However,youcouldalsofurtherthat
visionbyutilizingnewdigitalleancapabilities,
suchasasmartscrewdriverthatcapturestorquevaluesandrunsanalyticstodeterminewhetherafasteneriscorrectlyinstalledorwhetheraninputmaterialisdefective.Ascompaniestransitionfromtraditionaltodigitallean,itisimportantthattheyunderstandthedigitalextensionofeachleantool,
andwhetherthatextensionwilladdvaluetothetraditionalapproach.
Eachtraditionalleantoolservesauniquefunction onthemanufacturingfloor.Forexample,tocreate aconsistentproductionflow,amanufacturermay turntoheijunka,aschedulingmethodologythat“l(fā)evels”productiontobalanceandoptimize
workloadsacrosstheplantfloor.Asanother
example,judiciousapplicationofkanbansignalswhentheinboundflowofmaterialsorproductsisneededjustintime.Adifferentleantool,total
productivemaintenance,maybethetoolofchoicetoproactivelyaddressequipmentperformance,
eliminatebreakdowns,orensurethatoptimizedproductionflowsarenotdisrupted.5
Theapplicationofthekeyenablersmentioned
above,whenpairedwiththetraditionallean
methodsandtools,formtheheartofthedigital
leantransformation—inessencemakingleantoolsdigital.Figure3providesmoredetailonhowjustafewleantoolscanbeextendedtodigitallean.
7
FIGURE3
Digitalleanextendsthereachoftraditionalleantools
Leantool
Definition
(traditionallean)
Traditionalleanexamples
Digitalleanexamples
KanbaniAsignalingmechanism
usedtocontrolworkandindicatethe
needforresourcereplenishmentorprocessstatus
Binsarefilledwithin-
processcomponents
ataworkstation.Onceparts/rawmaterials
areconsumedtoa
predeterminedlevel,
operatorsfrompreviousmanufacturingsteps
realizetheyhavetoreplenishthebin.
?Auto-IDtechnologysuchasRFID
sensorscanbeappliedtotrackunit-
levelparts/materialconsumptioninrealtime,triggeringreplenishmentactivityautomatically.
?OtherIndustry4.0technologies,such
asthedigitaltwinandmachinelearning,cansimulateandoptimizekanbanbinquantitiessuchasstockanddelivery
frequency.
Total
productivemaintenance
(TPM)ii
Asystemthatoptimizesequipmentperformanceandworkflows
TPMistypically
performedperiodicallybasedonruntime,
cycles,andothercriteriatoserviceequipment
beforeafailurewouldtypicallyoccur.
?
Advancedsensorsandmachinelearning
algorithmsenablepredictivemaintenance,whereequipmentisservicedbasedon
sensorconditionsontheequipment(e.g.,vibration,force,temperature).Thisenablesextendingmaintenanceintervalswhile
simultaneouslyreducingfailureevents.
Heijunkaiii
Atraditionalschedulingmethodology
formultiproduct
environments,whereproductionis“l(fā)eveled”bystrategically
alternatingtheproduct
mixtobemanufacturedinagivenperiod
Establishingthesizeofproductionrunsontheheijunka“wheel”isoftendoneperiodicallydue
tothecomplicationofcalculatingtheidealrunsizeforeachturnofthewheel.
?
Advancedanalyticscanstabilizeplanning
byusinghistoricaldatafromprevious
productionrunstocreateoptimized
schedulesbasedonmachineavailability,
processquality,andresourcerequirements.
3P
(production,preparation,
process)iv
Acollaborative
processinwhich
cross-functionalteamsusecrudephysical
representationsof
themanufacturing
environmentstocreatenewprocessesand
products
Aspartofa3Pexercise,companiesoften
constructcardboardor2x4mock-upsoffuturemanufacturinglines,
takingsignificantspaceandtimeandlikely
creatingwaste.
?
?
?
EquipmentconnectedtotheIndustrialInternetofThingsandmoreadvanced
aggregationofprocessandproductiondataallow3Ppractitionerstoideateanddesignbasedontrue“hotpoints”intheirproductionenvironment.
Digitallyrenderingthenewlydeveloped
productlineorprocessyieldsmany
benefits,including,butnotlimitedto,
interactionwithcontributorswhocan’tbephysicallypresent(sistermanufacturing
sites,suppliersofmachineequipment,etc.),whicharenotpossiblewiththetraditional3Papproach.
The3Pteamcanusethedigitaltwinwithdataanalyticstosimulatetheprocessestotroubleshootthedesign,optimize
parameters,andexploreadditionalimprovementopportunities.
Sources:i.LaukikP.Raut,RajatB.Wakode,andPravinTalmale,“Overviewonkanbanmethodologyanditsimplementation,”InternationalJournalforScientificResearch&Development3(2015):pp.2518–21;ii.TinaKantiAgustiadyandElizabeth
A.Cudney,TotalProductiveMaintenance:StrategiesandImplementationGuide(BocaRaton:CRCPress,2016);iii.Andreas
Hüttmeiretal.,“Tradingoffbetweenheijunkaandjust-in-sequence,”UniversityofLausanne,(2009);VillanovaUniversity,“Whatisheijunka?,”updatedFebruary6,2018;iv.PaulinaRewers,JustynaTrojanowska,andPrzemys?awChabowski,“Tools
andmethodsofleanmanufacturing:Aliteraturereview,”proceedingsofthe7thInternationalTechnicalConference,CzechRepublic,2016,pp.135–139;Deloitteanalysis.
8
Digitalleanmanufacturing
GLOBALPLASTICSLEADERGOESDIGITALLEAN
Agloballeaderinplasticshadlongpracticedtraditionalleanprinciplesinitsmanufacturing
processes,butthecompanystilllackeddatavisibilityandprocessstandardization.Asaresult,thecompanyexperiencederodingmarginsfromlostmanufacturingproductivityandwasunabletomeetitsaggressivesustainabilityandinnovationgoals.
Toachieveproductivity,sustainability,andinnovationtargets,thecompanyembarkedonadigitalculturetransformationandanewsetofdigitalleancapabilities.Specifically,thecompanybuilta
digitalmanufacturingcorebycapturinghigh-frequencymachinedatainanoperationalhistorian,essentiallyatime-seriesdatabaseapplication.Itthenleveragedconnectedassetdataand,applyingleananddigitaltechniques,improvedperformancefurther.Thecompanyalsosoughtbuy-infromkeystakeholders,particularlythosewhoinfluenceuseradoptionontheproductionfloor.The
finalstepwastointroduceachiefdigitalofficerandnewcross-businessunitteamstoownthedigitaltransformation.
Thetransformationfromleantodigitalleanisexpectedtogenerateimprovementinearningsbeforeinterest,taxes,depreciation,andamortizationofUS$20millionannually,reducecostsby15%per
lineperyear,andimproveoverallequipmenteffectiveness(OEE)by11%annually.Perhapsmoreimportantly,thetransformationinstilledadigitalmindsetintheorganizationalculture.6
9
Benefitsofdigitallean
W
HENDIGITALLEANisimplemented
successfully,organizationscanexpectto
reducecostsandimprovequality,in
turnleadingtobetterproductivityandastrongerreturnoninvestment(ROI)whencomparedwithindividualdigitalortraditionalleanimprovementprojectsimplementedinisolation.
Anewproductivityfrontier
Amanufacturerthatrelentlesslyfocuseson
eliminatingwasteandcontinuouslyimprovingthe
manufacturingprocessarmedwithonlytraditionaltools,suchaskaizen,canmakegreatprogress
initially,butitsproductivityincreasestypicallyshrinkovertime.7Withdigitallean,the
manufacturercanbuildonitsleanfoundationandleveragenewtechnologies,suchasmachine
learningandpredictivemaintenance,tosolve
previouslyunsolvablebusinessproblemsand
unlockpreviouslyunreachableproductivity
frontiers.Ageneralprogressionofoptimizationisshowninfigure4.
FIGURE4
Optimummanufacturingperformancerequiresnewtools
DrivesvaluethroughdisruptionReducesvariation
tomorrow(digital-enabled)
Fromtoday(lean)to…
Plantenergymanagement
Augmentedworkforce
Factorydynamicscheduling
Complexitybarrier
Value
Factoryassetintelligence
Qualitysensing&detection
Digitalmanufacturingtransformation
optimizationcurve
FullyintegrateddigitaloptionsreleasethecompletepotentialofIndustry4.0
Six
Sigma
Learn
Traditionallean
Labor
arbitrage
optimizationcurve
E?ort
Sources:Deloitteanalysis;ChristopherPrinz,NiklasKreggenfeld,andBerndKuhlenk?tter,“LeanmeetsIndustrie4.0:Apracticalapproachtointerlinkthemethodworldand
cyber-physicalworld,”ProcediaManufacturing23(2018):pp.21–6.
10
Digitalleanmanufacturing
Intensemanagementpracticesandtechnologydeployment
driveROIandenhanceperformancemeasures
Thereisclearbusinessvalueintraditionallean
improvementandtechnologyorITimplementationprojects.However,whenmanufacturersimplement
digitalsolutionscombinedwithintense
managementprocesses(includinglean,SixSigma,etc.),manymanufacturerscanachievehigherROIwhencomparedwithlower-intensitydeploymentsordigitalprojectsimplementedinisolation.Digitalleanalreadyunitesdigitalwithmanagement
practicestosolvebusinessproblems.An
organizationthatusesdigitalleanwithintensityonapplicable,high-valuebusinessproblemscan
potentiallyexpecttoseethegreatestreturns.8
Moreover,digitalleantransformationsandimprovementprojectstargetlong-established
performancemeasuressuchasimprovingOEE,reducingcost,andimprovingsafetyand
sustainability.Whenapproachingtheplateauofthetraditionalleanoptimizationcurve,
manufacturershaveseenconsiderableincrementalvalueacrossalltraditionalmeasuresbyfocusingondigitalleanimprovements,asfigure5suggests.
Therangesinfigure5arepercentagesofavailableopportunityandaredrivenbyseveralfactorsthatshouldbeevaluatedduringbusinesscase
development.ToachievethegreatestROI,
manufacturersshouldfocusdigitalleaninitiativesandprogramsinthelargestareasofopportunity.Thesegenerallyincludeunlockingthecapacityofconstrainedassets,improvingstrategicasset
efficiency,decreasingcomparativelyhightotal
costsofpoorquality,decreasinglaborspend,anddecreasingoreliminatingunnecessaryraw
materialcost.
FIGURE5
Digitalleanbusinessopportunityandvalue
POTENTIALBENEFITS
Improvedassete?ciency
10–20%
OptimizedcapacityAssetutilization
ChangeovertimeDowntime
Improvedquality
10–35%
ScrapratesFillrate
Yield
Leadtimes
Reducedcosts
20–30%
Laborcost
Sourcingcost
InventorylevelsMaintenancecostWarrantycost
Improved
safetyandsustainability
3–10%
Safetyincidents
EmployeesatisfactionSustainablepracticesEnvironmentalimpact
Overallequipm
ente?ectiveness
Source:Deloitteanalysis.
11
Avoidingthechallengesofdigitallean
T
RANSFORMINGTODIGITALleanwillcome
withchallenges.However,thesecanbe
overcomewithanunderstandingofitscommonpitfallsandproperplanning.
Focusonvaluefirst,technologysecond
Whenimplementingnewtechnologies,
manufacturersoftengetcaughtupinadigital
programthatdoesnotfocusonsolvingthemosturgentbusinessproblems,butratherexploresatechnology.Poorlytargetedtechnologyprojects
andprocessimprovementscanleadtoprogram
fatigue(“pilotpurgatory”or“randomactsof
digital”)andevennegativereturnsforabusiness.Thiscanbeavoidedbyconductingadetailed
assessment,ensuringinitiativesaligntowhere
thereisopportunitytocapturevalue,and
developingrigorousbusinesscasesthatcanbe
trackedduringimplementation.Eachdiscrete
initiativeshoulddriveimprovementofagreed-
uponoperationalmetrics(orkeyperformance
indicators)thatcanbelinkedtohardfinancial
benefits.Asinitiativesareimplemented,metricsshouldbetrackedandreportedtoensureprogramvalueiscaptured.
Choosetherightstartingpoint
Beforelaunchingadigitalleaneffort,itis
importanttoidentifytherightstartingpoint.Often,companieschooseawell-understoodplantorlineonwhichtofocus.However,withinthatplantor
line,theywillneedtoevaluatethepeople,process,andtechnologyreadinesstochoosetheexact
startingpoint.
CHANGEMANAGEMENT
Digitalleantransformationsrequirepeopleto
learndifferentwaysofworking,behaviors,and
decision-making.Askyourselfquestionssuchas,doestheplantleadershipmakechangesstick,oristhisastruggle?Aretheoperatorsresistantto
changehowthey’vebeenworkingforyears,
possiblydecades?Willtheoperatorsandleadersbelievethedataortheirexperiencemore?Isthereachangemanagementprograminplacetoguidethetransformation,orwillitneedtobedeveloped?Theanswerstothesequestionsaboutatargetplantorlineshouldhelpdeterminetheplacetostart
digitalleanefforts.
12
Digitalleanmanufacturing
CONSISTENCYINPROCESS
Moreover,leanprinciplesfocusonreducingwasteand,asaresult,reduceprocessvariation.Digitalleanaccomplishesthisobjectivemoreefficiently.Whenchoosingastartingpoint,itisbeneficialtostartwithaproblemtosolvewheretheproductionprocessisconsistentandiswellknownbythe
plant.Questionstoconsiderinclude,istherelevantstandardavailableanduptodate?Howrelevantistheactualproductionprocess?Isproduction
performancetrackedrigorously?Istherea
continuousimprovementgrouporprocessin
place?Arerootcausesofdefectsandmaintenanceissuesclearlyunderstood?
TECHNOLOGYENABLEMENT
Often,digitalleaninitiativesrequireasolid
foundationoftechnology.Forexample,doesthefacilityhavesatisfactorynetworkconnectivity?Iscriticalprocessdatacurrentlybeingextractedfrommachinesandotherprocessstages?Ifso,isthe
datainaformatthatisdigestible?Enablingthetechnologytocapturedataisoneofthe
foundationalstepstobecomingdigitallyleanandrealizingthepreviouslymentionedbenefits.
Don’tjustassumestakeholderbuy-in—secureit
Fewpeoplelikechange.Overcomingthe“thisishowwe’vealwaysdoneit”mindsetischallenging.Engagingtheworkforceearlyandoftencanbe
criticalforanydigitalleaninitiative,including
expressingthevalueofthetooltoevery
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