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BAIN
&COMPANY
Paper&PackagingReport2026
Adaptingtoday,shapingtomorrow
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Paper&PackagingReport2026
Contents
Introductionletter 2
ResilienceandEfficiency 3
Don’tUnderestimatetheCostofOvercapacity 4
TransformingMaintenancewithArtificialIntelligence 10
It’sTimetoRethinkEveryLinkinYourSupplyChain 15
Customer-LedGrowth 20
LuxuryPackaging:ResolvingtheTensionBetweenCreativityandImpact 21
ToMakeMoney,FollowtheMoney 26
M&AinPaperandPackaging:BiggerbutFewerDeals 31
BattleoftheSubstrates 36
Sustainability:LessTalkandMoreAction 42
ChemicalRecycling:PlasticsFirmsMustMoveNoworMissOut 47
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Introductionletter
Paperandpackagingexecutivestodayfaceacomplexsetofchallenges,includinglowprofitability,overcapacity,andsubdueddemandlevels.Stiffpricecompetitionisthenorm,andmarketshavediverged.NorthAmericancompanieshavefaredslightlybetterintermsofoperatingratesandassetutilization
comparedwithEuropeandotherregions.Paperandpackagingcompaniesarespendinglesstime
marketingtheirsustainabilityeffortsanddoingmoreofthehardworktomeetsustainabilitytargetsandevolvingregulations.
Bain’ssecondPaper&PackagingReportdeliversinsightsintohowleadingcompaniesare
adaptingtothesechallenges,cuttingcosts,andtakingactiontogrowgoingforward.Thereportlooksatmanagingovercapacity,thesupplychain,andmaintenanceaskeywaystobuildorganizational
resilienceandefficiency.AIisstartingtohelpacceleratebothinternalefficiencyimprovementsand
top-linegrowththroughcustomerandconsumerinsights,impactingareasrangingfromcommercial
excellencetosustainability.Finally,M&Acontinuestobeactiveandisanincreasinglyimportantstrategyforpaperandpackagingcompaniestofindscalebenefitsandgrowthoutsidetheircorebusinesses.
IlkkaLepp?vuori
LeaderofBain’sGlobalPackagingsector
Resilienceand
Efficiency
Don’tUnderestimatetheCostofOvercapacity 4
TransformingMaintenancewithArtificialIntelligence 10
It’sTimetoRethinkEveryLinkinYourSupplyChain 15
4
RESILIENCEANDEFFICIENCY
Don’tUnderestimatetheCostofOvercapacity
Overcapacityisendemictothepaperandpackagingindustry,buttheseactionscanhelpyoumaintainmargins.
ByIlkkaLepp?vuori,JoshuaHinkel,andMichaelTonelli
AtaGlance
Mostcompaniesaimtogrowtheirprofitsatfourtimestherateofthemarket,butonly7%ofindustrialcompaniesachievethisgoal.
Tomanageovercapacity,leadingpaperandpackagingcompaniesfocusonimprovingtheircostadvantage.
AIcanhelpbytransformingsalesandoperationsplanningintoacontinuousprocess,withinsightsconstantlyupdated,reprioritized,andalignedacrossfunctions.
Managingovercapacityandthelowprofitmarginsthatfollowisawell-knownheadacheforpaperand
packagingexecutives.AnewmultiyearstudybyBain&Companyshowswhyovercapacitypersistsacrossindustries:Executivesareoverlyoptimisticwhentheymaketheirstrategicplan.
Mostcompaniesaimtogrowtheirrevenuesattwicetherateoftheunderlyingmarketandprofitsatfourtimestherateofthemarket.Inreality,only7%ofindustrialcompaniesachievethisgoal.Furthermore,incapital-intenseindustrieslikepaperandpackaging,theseoptimisticplansoftenleadtosignificantcapitalspendingandpersistentovercapacity.Recentgeopoliticaluncertaintyandtariffshaveonlyaddedfurthercomplexitytotheovercapacityconundrum.
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Inpaperandpackaging,leadingcompaniesdonotbetoncompetitorsscalingdownordisappearing;
instead,theyfocusonimprovingtheirowncostadvantage,asovercapacitycouldreoccur.Thismight
meanproactivelyclosingcapacitywhennecessaryandavoidingthescenarioinwhichsupplysooutstripsdemandthatplayerskeepundercuttingeachotheronprice,untilonlyafewcanmakemoney.For
example,leadingproducersofgraphicpaperlikeUPM,Domtar(formerlyPaperExcellenceGroup),StoraEnso,andNipponPaperhaveallclosedmeaningfulcapacityinrecentyearsasdemanddeclined.
Threestepstomanageovercapacity
1.Understandyourriskandexposure.Successfulcompaniesbeginbyanalyzingtheircurrentandexpectedsupplyanddemandbalanceinthegradestheyproduce,bothintheshorttermandthelongterm.Theyalsolookattheircompetitivepositionintermsoftheirfullylandedcashcostpertonto
determine:Dowehaveacompetitiveadvantage,andarewealsoabletomakemoneyacrossmarketcycles?Howsustainableisthatadvantage?Whatareourbreakevenpointsbymillandgrade,intermsofvolumeandprice?Theyevaluatewhereagivenmillorthecompanyitselfstandsinthemarket
(seeFigure1).Specifically,understandingthetrueend-to-endprofitabilityofdifferentproducts—andnotjustthecontributionmargin—iscritical.
Figure1:Thequestionstoaskdependoneachmill’spositioninthe
overallmarket
Isthereenough
long-termmarketgrowthtowarrantaninvestmentinnew,world-classcapacity?
Cashcostperton
Marketprice
Howmuchcanwechangeourcost
position,withandwithoutcapex?
Howmuchwouldithelp,relative
tocompetition?
Forhowlongcanweacceptlowreturns?
Whatcouldweconvertto?
Whatwouldwe
benefitfromclosing?
Howarethese
marginalplayerssurvivingtoday?Whenaretheyforcedtoexit?
Whathappenstopriceswhentheydo?
0
Shareofmarketbymill
100%
Source:Fastmarkets
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2.Mapyourstrategicoptions,offensiveanddefensive.Whilegrowingscalecanimproveone’spositionincertainindustries,it’susuallynoteffectiveincreatinglong-termdurabilityinpaperandpackaging.
Instead,thecashcostposition(i.e.,thecosttoproduceatonofboardorpaper)istypicallywhatmattersmost.Understandingyourtruecostpositionrelativetopeersishardworkandrequiresmorethanrelyingonexternalsecondarysources.Acompany’srelativecostposition,forexample,canchangedependingonthegeographywhereitsells,astransportcostswillvary,andtherelativepositionofanindividualmillisnoteasilyunderstood.
Leadingcompaniesdonotbetoncompetitorsscaling
downordisappearing;instead,theyfocusonimprovingtheirowncostadvantage,asovercapacitycouldreoccur.
Intimesofovercapacity,companieshavearangeofstrategicoptionstoweigh(seeFigure2).
Investingincapacity,efficiency,andconvertingtonewgrades.Companiesthatarecapableofmaking
investmentsoftendosoincompetitivenewcapacity,suchasinvestinginnewmillsornewtechnologies.Newassetsperformsignificantlybetterthanagingassets,andit’susuallynotpossibletoclosethatgapevenbyspendingsubstantiallytomaintainolderassets.LatinAmericanpulpproducerSuzano,for
example,hasinvestedinnewassetsduringtimesofpulpovercapacityandlowprices,trustingthatitssuperiorcashcostpositionwillenableprofitsregardlessofcycle.
Successfulcompaniesalsoimprovetheircostpositionbyinvestinginefficiency.Theydonotnecessarilyaddcapacitybutcontinuouslypushtoproduceeverytonatalowerprice.Theydosobyimprovingenergyandvariablecostefficiencyorbyusingautomationtolowerlaborcosts.
Finally,theyoftenconverttoanothergradewherethereismoreroomtogrowthanintheexistinggrade.Theytakeintoaccountthetechnicallimitationsofcurrentassetsaswellaswhichproductstheycouldproducewithreasonableinvestments.
Closingcapacityandoptimizingexistingmills.Alongwiththehigh-performingmillsinitsportfolio,everypaperandpackagingcompanylikelyalsohasmillsthatarestruggling.Forthesemills,thebestoption
maybetocloseuncompetitivecapacity.Closingmillsusuallycomeswithhighcostsandstrongsocialconsiderations,makingitoneofthehardestdecisionsforpaperandpackagingexecutives.
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Figure2:Therearemanystrategicoptionstoconsiderinamarketovercapacitysituation
Gobigorgohome
Investincompetitivenewcapacity
Whatyouneedtobelieve
?Marketovercapacityistemporary
?Youhaveastrongbalancesheetandabilitytotakerisk
?Yoursiteswillhavealong-termfutureinthegradesproduced
?Costpositionofyoursitescanbeimprovedmeaningfully,throughmoderateinvestments
?Otherswillexitorstopinvesting
Investmentneed
MEDIUM
HIGH
Investineficiency
Investinequipmenttoimprovecostpositionofexistingproductionsites
WhatyouneedtobelieveInvestmentneed
Stoplossesthroughconversion
Converttoamorefavorablegrade
Investmentneed
Whatyouneedtobelieve
MEDIUM
?Yourcurrentlossesareunbearable,andthesituationisunlikelytoimprove
?Youcanthroughmodestinvestmentsconvertmachinesintogradeswhereyouhave:
–The“righttowin”
–Healthysupply/demandbalanceevenafteryourinvestment
Stoplossesthroughclosingcapacity
Closecapacitytosupportsupply/demandbalance
Investmentneed
Whatyouneedtobelieve
?Yourcurrentlossesareunbearable,andthesituationisunlikelytoimprove
LOW
?Youdon’tseeapaybackinconversion
?Closingcapacitywillhelptherestofyourbusiness(e.g.,woodcosts,marketsupply/demandbalance)
Runforcash
Investincapabilitiestoimprovecostpositionofexistingproductionsites
Whatyouneedtobelieve
?Marketovercapacityistemporary
?Yourwillingnesstoinvestcapitalislow
?Youroperationalteamisstrongenoughtomakeastepchange
?Youarequicktoreactifthemarketpicksupagain
Investmentneed
VERYLOW
Source:Bain&Company
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Whataboutmothballing,orshuttingdownfacilitiesforaperiodtosaveonoperationalcostswhile
maintainingequipment,soit’spossibletoreopencapacitybetterandfasterthanpeerswhenconditionschange?Whilemothballingcapacityforlongerperiodsoftimecanbeeffectiveinotherindustries,it
isrelativelyrareinpaperandpackaging.Incertainsegments,however,suchasgraphicpaperand
nonintegratedmills,turningproductiononandoffiscommon,asithelpscompaniesadjusttodemandfluctuationsandcanbeusedtooptimizeelectricitycosts,forexample.
Leadingcompaniesalsofocusonday-to-dayoperationsandmaketheirexistingmilloperationsascostefficientaspossiblewithoutmajoradditionalinvestments.Still,withoutexpendingsignificantcapitaltomodernizeoperations,evenaverysystematicoperationalexcellenceprogramwilllikelyyieldonly
a7%-10%costreductionperton,accordingtoBainstudiesoverseveralyears.Suchcostreductionsaremeaningfulbutnotgame-changingconsideringthat,acrossmoregrades,top-quartileproducershave20%-40%lowercoststhanbottom-quartileones.
Finally,M&Acanbeausefuladditionaltooltoprovidescaleandtocreatenetworksofmills.Withalargerfootprint,closingcapacitywillbelesschallenging,astheproportionatehitofclosingonemillisabsorbedmoreeasily.Latelywehaveseensignificantconsolidationintheindustry,suchasInternationalPaper’s
acquisitionofDSSmithandSmurfitKappa’smergerwithWestRock.
3.Improveyouroperationalflexibilitywithscenarioplanning.Leadingcompaniesaremovingawayfromthinkingaboutsalesandoperationsplanning(S&OP)asatraditionaldeterministicprocessfor
allocatingdemandtoparticularmills.Instead,theyconsiderthedifferentscenariosthatcouldplayoutintheirmarketsandtheirrelevantendcustomermarketsandaskwhatsignpostscouldalertthemtothosescenarios.Thiscaninformhowandwhentheyactandhowtheyrespondtocompetitors.
AIcanalsobeapowerfultoolintheS&OPprocess.Specifically,itcanhelptransformplanningintoa
continuousprocess—whereinsightsareconstantlyupdated,reprioritized,andalignedacrossfunctions.
GenerativeAI,meanwhile,candeliverricherinsights,increasingforecastaccuracyandenablingfaster,smarterdecisions.
Inoneexample,aglobalpackagingcompanyenhanceditsforecastingsystembyintegratingboth
traditionalstructureddata—likeorderbookinformationandhistoricalsales—andunstructuredor
externalinputs,whichwerepreviouslytoomessyortime-consumingtouse.Thisdataincludedeconomicindicators,competitorbehavior,anddomain-specificsignalssuchasindustrytrendsandevencommoditymovements.GenAIwasabletoparseandcontextualizetheunstructuredinputs,transformingthemintopredictivefeaturesthemodelcoulduse.Asaresult,themodelimproveditsabilitytodetectearly
inflectionpoints—especiallyinvolatilesectors—beforetheywerevisibleintheinternaldata.
TheAI-enabledforecastmodelenhancedpredictiveaccuracy,reducingtheerrorratebyover10%.Thatkindofprecisionhasadirect,measurableimpactonthebusiness;itdecreasesoverproduction,tightensinventorycontrol,andresultsinfewerstockoutsandbetteralignmentwithupstreamsuppliers.
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Moreimportant,theteammovedfrombeingreactivetoproactive.Plannerswerenolongerspendingtheirtimedebatingthevalidityofthebaselineforecast—theywerescenariotesting,stresstestingkeyvariables,andcollaboratingwithsalesandopsteamstoalignonrisk-adjusteddecisions.
Whilethisexamplefocusesondemand,thearchitectureappliesjustaseasilytosupplyplanningand
capacitymodelinginthepaperandpackagingindustry.Withtherightdatafoundation,thesemodelscansimulateleadtimevolatility,factorythroughput,orcomponentavailability—empoweringplannerswithanend-to-endprobabilisticview.
Historywouldsuggestthatovercapacityisnotgoinganywheresoon.Tothrivedespiteovercapacity,well-runcompaniesallocatemorevolumetothemostprofitablecustomers,products,andgeographies.TheyconsiderM&Aasanoptiontoexpandnetworkcoverageandimprovetheefficiencyoftheirassetbase.
Theymaptheoptionsforeachproductionsite,accountingforthesystem-wideimplicationsofpossibleclosuresandconversions.
Inadditiontounderstandingtheirownbusinessinlaserdetail,leadingcompaniesunderstandhowtheyfitintothelargercompetitivelandscape.Successfulpaperandpackagingexecutivesemployachess-likementalityastheyplotouttheirownstrategy,forecastdifferentmovesthatcompetitorsmaymake,and
plantheirresponsesinthosesituationsasscenarioscontinuetoevolve.
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RESILIENCEANDEFFICIENCY
TransformingMaintenancewithArtificialIntelligence
Withlittletonocapex,companiescanturnmaintenanceintoanengineofcashflow.
ByMarcosRutiglianoandBenGrant
AtaGlance
Companiesthatfocusonmaintenancetypicallyincreasetool-in-handtimeby15percentagepoints,leadingtoanoverallreductioninmaintenancecostpertonof17%to23%.
In-housedevelopmentofnewmaintenancesolutionsusinggenerativeAIcantakeaslittleasaquarterofayear,withasmallbudget.
Assetssuchasrotatingsetsandengineshavebeencandidatesformoreadvancedsolutionscombiningsensorsandalgorithmsthatlearnonthego.
Maintenanceinthepaperandpackagingindustryisanarearipeforbothtraditionalandcutting-edge
AIapplications.Someofmaintenance’squantitativeandmathematicalcharacteristicsarebestsuited
fortraditionalmachinelearningmodels,suchaspredictivemaintenancealgorithms.Inaddition,the
human-machineinteractionsofmaintenancearewellsuitedforLLM-poweredgenerativeAI,suchas
maintenancecopilotsthatprovidereal-timeinstructionstoemployeesbydrawingonmanuals,ledgers,
andsensorprescriptions.Moreover,thecostofinstallingthesensorsthatcollectthedatatheseadvancedmodelsrequirehasfallenprecipitously,removingwhatwasonceasignificantcapitalbarrier.
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Asaresult,equipmentmaintenancecangeneraterealvalueforpaperandpackagingcompanies.
Reducingdowntimecandrivehigherthroughputandthereforerevenue.Moreproductivemaintenancereduceslaborcosts.Lowersparepartsinventoriespushworkingcapitaldown.Finally,well-maintainedmachineslastlonger,andcapitalexpendituredrops.
Leadingcompanieshavealreadyseenrealreturnsfromfocusingonmaintenance.Specifically,they
areabletoimproveoverallequipmenteffectiveness(OEE)intherangeof1to2percentagepointsby
reducingfailuresanddowntime.Thismayseemsmall,butthecorrespondingvolumeincrease,valuedatcontributionmargin,hasasignificantimpactonacompany’sEBITDA.Whenitcomestowork
productivity,byfocusingonmaintenance,companiescanreducethemeantimetorepairasystemby
5%to15%,whiletool-in-handtimewilltypicallyincreaseby15percentagepoints,leadingtoanoverallreductioninmaintenancecostpertonof17%to23%.Andfinally,sparepartsinventoriescanbereducedbyasmuchas20%to40%incaseswheretheyhaven’tbeenoptimizedintherecentpast.
Threewaystocreatevalue
Therearethreeleverscompaniescanpulltocreatevalueusingmaintenance(seeFigure1).
Assetstrategyandmanagement.Uptoadecadeago,maintenancecouldbecategorizedaseithercorrectiveorpreventive.Morerecently,predictiveandprescriptivemaintenancehavecomeintoplayatthecommercialscale,thankstosensorsthatcanflagassetsthatareabouttobreak,allowingforanimmediateresponse.
Assetsthataremorecommonacrossindustrialsectors,suchasrotatingsetsandengines,havebeencandidatesforthemostadvancedsolutions.Thesetechnologicalsolutionsstartwithcheaper,basic
Figure1:Smartmaintenanceiscomposedofthreepillarsand
underlyingenablers
Valuelevers
Assetstrategyandmanagement
Focusingondowntime
Work
productivity
Focusingoncost
Spareparts
optimization
Focusingoninventories
Enablers
Technologyanddata
Organdoperatingmodel
Changemanagementandscalability
Source:Bain&Company
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predictivesensorsthatshootalertswheneveragivenvariable(e.g.,temperature)goesaboveorbelowpredefinedthresholds.Theissueisthattheygeneratemanyfalsepositives.Totacklethisissue,onthemoresophisticatedend,AI-poweredprescriptivemaintenancecombineshardware(i.e.,sensors)withsoftware(i.e.,code/algorithm)thatlearnsonthego.Forexample,falsepositivesarefedbackintothealgorithmsothatitlearnsfromitsmistakesandadapts.
Workproductivity.Reducingmaintenancecostsdependsheavilyonimprovingproductivity.Tool-in-handtime(orwrenchtime)isthekeyproductivitymetric.Whileit’spossibletomeasuretool-in-handtimeautomatically,mostcompaniesstillshadowasampleofemployeeswithachronometertounderstandwheretheyspendtheirhours.
Companiesthathavenevermeasuredtool-in-handbeforewilltypicallyfindthataboutone-thirdof
maintenancetimeiseffectivelyspentdoingmaintenance.Theothertwo-thirdsisspentonadministrativework(e.g.,fillingoutformsandsafetydocumentation,collectingspareparts,registeringnotes)aswellasonmeals,transit,etc.Mostpulpcompanies,andindustrialcompaniesbroadlyspeaking,facethisreality.Typically,whentheydiscovertheirtool-in-handtimeisonlyaboutone-thirdofmaintenancetime,they
focusoneliminatingunproductivetimewhilemakingtheproductivetimemoreefficient.Toincreasetool-in-handtime,leadingcompaniesdeploysolutionsthatrangefrommoretraditionalprocedures
enforcementandprocessredesignmeasurestocutting-edgetechnology,suchasvoicedocumentationbasedongenerativeAI.
Companiesthathavenevermeasuredtool-in-handbeforewilltypicallyfindthataboutone-thirdofmaintenancetimeiseffectivelyspentdoingmaintenance.
Sparepartsoptimization.Managingsparepartsisprobablythetopvalue-creationleverthathas
benefitedleastfromrecenttechnologies(e.g.,sensors)andgenAI.Companiescan,however,leveragemachinelearningandtraditionalartificialintelligencetohelpidentifylowsparepartsinventoryandreliablyprovidereplacementpartsasquicklyaspossiblewhenmaintenancedemands.
Goodsparepartsmanagementcanalsoenablehigherproductivity.Onepulpcompany,forinstance,redesignedprocessesinsuchawaythatthestoreroomwoulddeliversparepartstotheclientareasinsteadofgettingthemaintainerstopickthemup,boostingproductivitysignificantly.
Enablers:technology,operatingmodel,andchangemanagement
Technologyanddata.Inordertoimplementsuchsolutions,companiesneedtoanswersomekey
questions,including:Howdoweconnectapplicationsseamlesslytotheunderlyingenterpriseresource
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planning(ERP),cloud,andothersystems?Whatdatawillberequired?Isthisdataavailable,ordoweneedtostartcollectingitnow?Whatisthedata-lakearchitecture?Masterdataconsistencyisalso
important.It’snotuncommon,forexample,thatthedataledgerinthemaintenancemoduleoftheERPsystemdoesnotmatchthatofthesparepartsreplenishmentmodule,andcompaniescanspendafewmonthscleansingdatatoensureconsistencybeforeimplementingtheirusecases.
Organdoperatingmodel.Noprogramwillbesuccessfulifpeopleontheshopfloordon’tadoptthenewprocessesandtools.Thefirststepistoadjusttheoperatingmodeltosupportthenewmaintenancemodel.Thisincludesdocumentingchangesinprocesses,responsibilities,andtheorganizationalstructure.
Changemanagementandscalability.It’salsocriticaltogetpeopletrainedandincentthemtoadopt
newtoolsandprocesses.Tofosterthisadherence,companiestendtomonitoradoptionrates,following
uponnoncompliantgroupsandultimatelyshuttingdownoldprocesses.Recognizingindividualsonthe
shopfloorwithspecificfinancialrewardsiftheyadoptearlyandcorrectlyisalsoapath,albeitlesscommon.
Thefourstagesofa“smartmaintenance”program
ThejourneytosetupanddeploysensorsandAIaspartofamaintenanceprogramtypicallyconsistsoffourphases(seeFigure2).
1.Diagnosticandplanning(3–4months):Theinitialperiodshouldfocusonassessingthecompany’spointofdeparture,identifyingopportunities,quantifyingthem,andbuildingthestrategyandroadmap
ahead.Athoroughunderstandingofthecurrentandhistoricalstatusofallthreepillars—assetstrategies,workproductivity,andsparepartsmanagement—isimportantandwillhelpdeterminewherevalue
canbecreated.
1
Diagnosticandplanning
Pointofdeparture
Maturity
assessment
Value-creationthesis
Initiatives
prioritization
Businesscaseandroadmap
2
Developmentandpiloting
Makevs.buy
Vendorselection
Development
Piloting
4
Sustainingand
scaling
Monitoring
Deploymenttoothersites
Launchofnewwaves
Figure2:A“smartmaintenance”transformationincludesfourstages
3
Rampingup
On-site
deployment
Change
management
Source:Bain&Company
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Prioritizingwhichofthesepillars(andwhichinitiativesbeneaththem)tofocusoniskeyandvaries
companytocompany.Aglasscompany,forinstance,focusedonworkproductivityandspareparts
management,butnotonassetstrategies.ThecompanyhadgivendisproportionalimportancetoOEEhistoricallyandhadreachedveryhighlevelsofequipmentreliabilityandlowdowntime.Butitdidsoattheexpenseofhighmaintenancecostsaswellasalowsparepartsinventory.
2.Developmentandpiloting(6–9months):Thisisthepartofthejourneywhensolutionsaredesignedindetailandtested.Therearebasicallytwotrackshere:oneforinternallydevelopedsolutionsandtheotherformarketsolutions.Naturally,definingwhichinitiativeswillgodownonepathvs.theotheris
thefirststep.
Organic,in-housedevelopmentusedtobelengthy,withnocertaintyonoutcomes.ThegoodnewsisthatgenerativeAIchangesthespeedandcostofinternaldevelopment.Whereasdevelopmentbasedon
automationortraditionalanalyticswouldtakemanymonthsormostlikelyyears,genAIdevelopmentcantakeaslittleasaquarterofayear,withasmallbudget.
Formanyothertypesofmaintenancesolutions,especiallythoserelatedtosensors,thesecondpieceofgoodnewsisthatorganicdevelopmentisn’ttheonlypath.Withtherapidaccelerationinsmart
maintenance,marketvendorsnowcoveragoodportionofcompanies’prioritizedproblems.
3.Rampingup(3–5months):Atthispoint,solutionsthatweresuccessfulintheirpilotsreceivegreenlights,andanythatfailedreceiveredlights.Nowit’stimetoensureon-sitedeploymentofsolutions
andtheiradoption.Newprocedureswillbereleased,potentialorgchangeswillbemade,trainingswillbeprovided.Variousdashboardswillgauge—initiativebyinitiative,areabyarea—thelevelofadoption,triggeringactionstoaddressadherencetothenewwaysofworking,untiltheoldprocessortoolis
shutdown.
4.Sustainingandscaling:Bythisstage,the“smartmaintenance”projectwillbenearingarelatively
stablestate.Yet,closemonitoringiscrucial.Thisisalsotherighttimetolaunchthenextwaveofinitiatives.Companywide,thisisthemomentwhenallthenovelsolutionsthathavebeenrecentlyrampedupin
plantAwillhavetostartmakingtheirwayintoplantsB,C,D,andbeyond.
Maintenanceoptimizationcanunlocksubstantialvalue,whetheritisviaincreasingthroughputor
reducingopex,capex,andworkingcapital.Therequiredinvestmentbecomessmallcomparedwiththeupsideandcontinuestodropassolutionsgainscale.Thishasmademaintenanceahigh-return
opportunityandatoppriorityformanypaperandpackagingexecutives.
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RESILIENCEANDEFFICIENCY
It’sTimetoRethinkEveryLinkinYourSupplyChain
Afunctionthatoncegotlittleattentionisnowbecomingakeydifferentiator.
ByMikaelJohansson,EmilyKasavana,JoshuaHinkel,andMikkoPeni
AtaGlance
Leadingpaperandpackagingcompaniesareusingsupplychainperformanceasacompetitivedifferentiator.
Inordertoprepareforandrespondtodisruptions,companiesneedvisibilityintotheirfullsupplychains.
Tomanagesupplychainseffectively,leadersmustmakestrategictrade-offsandde
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