the industrial internet of things driving the big data … · iiot means the industrial internet of...

THE INDUSTRIAL INTERNET OF THINGS DRIVING THE BIG DATA BOOM

Table of contents

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

What is the Industrial Internet of Things? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

What does it look like in materials handling and logistics? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Then: IIoT meets the supply chain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Now:IIoToffersgreatervisibilityinmaterialshandling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Future:IIoTtransformsmaterialshandling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

How can your operation benefit? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Increaseindividualoperatorefficiencyandoveralllaborproductivity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Optimize assets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Maximizelimitedwarehousespace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Increasethepotentialvelocityoffastmovers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Fosterdata-drivenaccountability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Increasevisibilitythroughoutthesupplychain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

How much of a priority should you make the IIoT? And how quickly will it pay off? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

How can you protect your network against cybersecurity threats? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Understandtheimportanceofcybersecurity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Knowtherisks:Collaboratewithvendorsandavoidweaklinks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

Beproactiveandsecureagainstdatalossandcompromise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

How do you get there? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Startwithsimplesteps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

PrepareforIndustry4.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

WhatistheIndustrial InternetofThings? Howcanyouroperationbenefit? Howmuchofapriority

shouldyoumaketheIIoT? Howdoyougetthere?Howcanyouprotectyournetwork againstcybersecuritythreats?

Whatdoesitlooklikein materialshandling&logistics?

Introduction

The2000ssawatippingpointinconsumerelectronicsthatcreatedsomethingofa“BigDataBang.”High-speedinternetconnectionsreachedmobiledevicesandthusbeganthedawnofanewdigitalerathatconnectedvirtuallyeveryoneandeverything.

Theconnectedworldhasgrownatanastoundingpaceeversince–from2billion“smart”devicesin2006toanexpected200billionby2020.ThishasledtoanexplosionofinformationandtermsliketheIndustrialInternetofThings(IIoT),bigdata,5Gandthecloudbecomingcommonvernacular.

Atabasiclevel,thesetermsrefertothenearubiquitousabilityofdevicestosendandreceivedata.Userscanthenleveragethisdatatomakemoreinformeddecisionsandenableautomatedactions,therebyincreasinglaborproductivity.

Butwhatdoesthatmeanforbusinesses,particularlywarehousesanddistributioncenters?

WHAT IS THE INDUSTRIAL INTERNET OF THINGS?

the cloud

M2M Communication

MACHINE TO MACHINECOMMUNICATION

Big Dataadvanced analytics IIoT ADVANCED

ANALYTICS

thecloud

BIG DATAM2MIIoT

AdvancedAnalytics

machine to machinecommunication

What is the Industrial Internet of Things?

Begin with the buzz words.

The cloudreferstointernet-based,sharedcomputingpowerthatallowssoftwareandservicestorunontheInternetinsteadofalocalcomputer.Foranexampleofthiscloudvs.localdynamic,thinkofonline-basedapplicationslikeGoogleDocsvs.MicrosoftWordrunninglocallyonadesktop.

The Internet of Things,ontheotherhand,referstothebillionsofelectronicdevices–everythingfromfridgestoforklifts–thatcancollectandtransmitdatawirelessly,usingWi-Fi,Bluetooth,near-fieldcommunicationandthecloud.ThecloudandtheIoTaretrulytwopeasinapod–they’reinseparable.TherewouldbenoIoTwithoutthecloudandthecloudconstantlyexpandsastheIoTgrows.Inessence,IoTenableslocalizeddecisionmakingbyleveraging–andenhancing–cloud-basedaggregation.

IIoT means the IndustrialInternetofThings,soanyconnecteddevicespecificallyintheindustrialsector.IIoTholdsgreatpotentialforqualitycontrol,sustainablepractices,supplychaintraceabilityandoverallsupplychainefficiency.

Machine-to-machine (M2M) communicationistheframeworkoftheIIoT.Thisbroadtermappliestoanytwodevicesexchanginginformationandperformingactionswithoutinputfromhumans.M2Mtechnologyenableswarehousesoftwaresystemstomanageautomatedequipment,roboticlifttruckstocommunicateandmaintenancemanagementsoftwaretoworkwithequipmentlikeconveyorsandsorters.

Big dataisatermforthemassiveamountofdatacollectedfrombillionsofconnecteddevices.Thesearedatasetssobigthattheyledtotheinventionofnewcomputerstoprovidethenecessarypowertoanalyzethem.Withsuchsignificantvolumeandvariety,patterns,trendsandassociationscanemergethatrevealnewinsightsandbetterbusinesspractices.Thoseinsightsaregainedfromadvanced analytics–thescientificprocessoftransformingbigdataintorelevantinsights.

Cybersecuritygoesfarbeyondanti-virussoftwareandpasswordprotection.Itreferstotheeffortstoprotectconnectedsystemsfromattacksanddatabreaches–athreatbusinessesofallsizesmusttakeveryseriouslyastheycapturegreatervolumesofdata.

WHAT DOES IT LOOK LIKE IN MATERIALS HANDLING AND LOGISTICS?

Then Now Future

shouldyoumaketheIIoT? Howdoyougetthere?Whatdoesitlooklikein materialshandling&logistics?

Howcanyouprotectyournetwork againstcybersecuritythreats?

What does it look like in materials handling and logistics?

OneofthefirstmanifestationsoftheIIoTinlogisticscamein2000withtheintroductionoftelematicsandtrackingsensorsinover-the-roadtrucks.Thisprovidedenhanced,data-driventransparencyandhelpedilluminateopportunitiesforincreasedproductivityandefficiencyinsupplychainoperations.

Inthewarehouse,earlydatacollectionapplicationsfocusedprimarilyonanalyzingbasicpoint-to-pointdata,likethenumberofordershandledinacertaintimeframe,andcomparingthedataacrossanetworkofdistributioncenters(DCs).Thisincludedbasicoperationslikepicking,putawayandothercommontasks.

Then: The IIoT meets the supply chain

1,298orders handled

2,312orders handled

9,381orders handled

Distribution Center #2

shouldyoumaketheIIoT? Howdoyougetthere?Whatdoesitlooklikein materialshandling&logistics?

Howcanyouprotectyournetwork againstcybersecuritythreats?

Connectivityandcloud-basedtechnologyisexperiencingmorerapidadoptioninmaterialshandlingoperationsthanever.Over40percentofallIIoTdevicesexistinbusinessandmanufacturing,and43percentofmaterialshandlingprofessionalsengageinbigdataanalysis.

Contemporarychallenges,suchasshippingpressuresine-commerce,governmentregulationinfoodandbeverageandlaborshortagesacrossvirtuallyallindustries,leadtoaneedtoleveragebigdataforgreaterlaborproductivityandoverallefficiency.Thesedatadrivenimprovementsextendtoeverythingfromlifttruckfleetutilizationandoperatorperformancetoenergyuseandmaintenance.

AnothereffectoftheproliferationofmorecomprehensivedataisgreatervisibilityintoDCs.Sincedatacollectionhasbeenexpandedtonearlyeveryaspectofawarehouseoperation,managerscangetinsightsthatgodeeperthaneverbefore.Forinstance,awarehousemanagementsystem(WMS)mayhelpacompanyestablishhowlongitshouldtaketomoveproductfromdocktorackviaforklift,butbigdatathatbringsinmoredatasetsfrommultiplesystemscanhelpexplainwhythattimeparameterisnotalwaysmet.

Now: The IIoT offers greater visibility in materials handling

Withmoreend-usersandsolutionsprovidersrecognizingthevalueoftheIIoT,materialshandlingoperationscanmovebeyondreactivedecisionstopreventiveandevenpredictivemeasures.Forexample,insteadofusingdatasimplytotrackthetimeframeinwhichcertaincomponentswillneedmaintenance,operationscanmonitorcomponentsviavibrationsensorsorothertelematicsystems,andsetupautomatedalertsintheeventananomaly,suchasalowbatteryoracertaindegreeofwear,isdetected.

Theseautomated,if-thenfunctionsalsomakeanimpactwithconsumerdevices,likewearables.Apatent applicationdescribeshowanApplewatchandiPhonecanworktogethertoautomaticallycall911intheeventa“careevent,”suchasaheartattack,isdetected.Beyondautomatictriggers,thenextfrontierismachinelearning.Systemscannotonlytakeactionbasedondatameetingacertainthreshold,butcanjudgedegreesofsuccessandcontinuouslyoptimizeactionbasedontacticalcharacteristics.Forexample,anautonomousvehiclemaylearntoadjustitsroutebasedontimeofday,expectedtrafficconditionsandotherfactors.

Future: The IIoT transforms materials handling

SENSOR DAMAGED DUE TO IMPACT

HOW CAN YOUR OPERATION BENEFIT?

Enter the Smart (IIoT-enabled) Warehouse

Warehouseshostamultitudeofprocesses,peopleandequipment,eachofwhichholds datareadytobeliberatedandputtouseforrealbenefit.Thisdatacanhelp:

1. Increaseindividualoperatorefficiencyand overalllaborproductivity

2. Optimize assets

3. Maximizelimitedwarehousespace

How can your operation benefit?

4. Increasethepotentialvelocityoffastmovers

5.Fosterdata-drivenaccountability

6.Increasevisibilitythroughoutthesupplychain

● Improve safety compliance and track OSHA adherence – Telematiclifttrucksolutionscanenhancesafety regulationcompliancebyrestrictingtruckaccesstoonlyoperatorswithpropercertificationandproviding automatedcheckliststoguideoperatorsastheystarttheirshift.

● Analyze errors and injuries by equipment type and employee – Someoperatorsmayexcelwithcertaintrucks butfumblewithothers,allowingmanagementtobettermatchtheskillsofthelaborforcewithequipment,oradjust trainingandsafetyprograms.Equipmentchoicecanalsoinfluencethelikelihoodofchronicconditionsandinjuries fromrepetitivemovements.Forinstance,whilesomeoperatorsmayfavorsit-downlifttruckmodels,standup modelscanreducethestressonkneesfromrepeatedlygettingonandoff.

● Plan for overtime and seasonal workers – Breakdownthroughputvolumesbynumberofoperatorsandtrucksto helppredicttheamountoflabornecessarytohandlepeaks.

● Identify opportunities for automation – Usedatafromutilization,GPSinformation,impactsandproductivityreportsto findopportunitiestoimplementautomatedsolutions,likeroboticlifttrucks.

● Find the most efficient routes – OneoperatormayspendtwicethetraveltimegettingfrompointAtopointBas anotherdriver.Withlocationandutilizationdatacapturedfromthetruck,warehousemanagerscandeducethecause– whetheraninefficientroute,unscheduledbreakorothercause.

Inthewarehouse,productivitydependsinlargepartonhowwelloperationsutilizelabor.Withadvancedtelematicssolutions,warehousemanagerscanmonitorperformanceallthewaydowntotheindividuallifttruckoperatortohelpidentifysystemicinefficiencies.

Increase individual operator efficiency and overall labor productivity

LifttruckscanbeequippedwithtelemetrysystemsandRFIDreaderstogatherdataonboththetruckandauxiliarycomponentsfortransmissiontoacentralizedrepository.Thistechnologyenablesgreatervisibilityintothelifttruckfleetoperation,allowingdiscovery—andcorrection—ofvariousfleetutilizationinefficiencies.

Optimize assets

● Measure fleet size, configuration and usage – Monitortruckutilizationandbatteryusageforleaner, moreefficientlystructuredfleets.

● Reduce maintenance and overhead costs – Configurefaultcodestoautomaticallytriggermaintenance functionsorservicecallswithoutrequiringanyactionfromfacilitymanagementormaintenancepersonnel.

● Reduce truck abuse – Monitorimpacthistory,includingidentificationofcommonimpactlocations.

● Reduce risk of downtime – Proactivelyalerttechnicianstoservicerequests,whichcankeepminor issuesfromturningintobigproblems.

SKUproliferationpressuresoperationstostoreawiderrangeofever-changinginventory.Assuch,intelligentlystructuringstoragesystemsandpickaislestofacilitateefficientinventorymovementiscriticallyimportant.Thisrequirescollectingandanalyzingorderprofilesandexpecteddemandtooptimizespaceandlaborutilization.

Togetherwithurbanization,SKUproliferationdriveswarehouseoperationstobuildupratherthanout.Understandingcurrentspaceandgrowthtrajectoriescanhelpinformequipmentpurchases–likenarroworverynarrowaislelifttruckmodels.

Buttoday’sworldchangesfasterthanever.Fidgetspinnerssurgedtopopularityinamatterofmonths,accountingfor17percentofdailyonlinetoysalesinlateMay 2017 .Real-timedatafrompoint-of-salesystemsprovidesthedata-drivenbackbonetoinformstorageandfulfillmentstrategies,andtheup-to-the-minutevisibilitytoadapttonewlypopularitemsandrapidlyrisingdemand.

Maximize use of limited warehouse space

TheproliferationofconnecteddeviceshastransformedDCsfromopaqueboxeswithinsufficientvisibilityofinventorytoatransparenthubthatoffersdetailedupdatesoforderstatus.

RFIDtechnologycantrackpalletsandindividualcasesthrougheachstepofthesupplychain,fromsourcingrawmaterialsandproductionsites,todistributioncenter,retailoutletsviadirect-storedeliveryandultimately,theconsumer’sdoorstep.Thistraceabilityisvitalinsourcingfoodborneillnesses,locatingmanufacturingdefectsandidentifyingcomponentfailure.

Foroperationsfeelingcompetitivepressuretoprovidespeedydeliveryofvirtuallyanyproduct,thisenhancedvisibilityandmoreefficientoperationiscriticaltohandlingcontemporarychallenges.Takeanorderthatincludesapairgloves,ascarfandahat.Shippingratesincentivizeretailerstopackandshiptheseitemstogether.However,thatpressurese-commercefulfillmentoperationstofindthemostefficientwaytobringtogethermultipleitemsfromdifferentlocationsofthewarehouseforshipment.

Increase the potential velocity of fast movers

Alotofthebigdatathatcompaniesaccumulatenowaddressesthesechallenges,helpingcompaniesdeterminehowtooptimallypositiongoodsthatareoftensoldtogether.Thisenableseasyorderconsolidationandavoidsalengthyreunionacrossthousandsoffeetofwarehousespace.

Corporateresponsibilityreportinghasbecomemorewidespreadinrecentyears,andforgoodreason.Companiescanusereal-timedataandanalyticstoolstotrackactionsaffectingpeople,theplanetandprofitswithgreateraccuracy.

• Promote safe behavior – Telematicssolutionsoffer self-managementcapabilitiesthroughspeedandimpact informationtofurtherincentivizesafeoperatorbehavior.

• Reduce carbon footprint – Operationalneedsand optimalshippingschedulescanbeanalyzedtoreduce excesstransportationcostsandemissions.

• Lead the pack – Companiescannowcompareindustry benchmarksonsupplychaintransparency,environmental impact,humanrightsandothercorporategovernanceinitiatives.

Foster data-driven accountability

Increase visibility throughout the supply chain

OneofthemostimportantbenefitsoftheIIoTandconnecteddevicesisvisibility.Inadditiontooptimizingequipment,processesandlaborwithinawarehouse,itsuseextendsbeyondthefourwalls,creatingintersectionalopportunitiestoincreaselaborproductivitythroughoutthesupplychain.Thankstobigdata,linearsupplychainsareevolvingintocomplex,dynamicandconnectednetworks,basedontheexchangeofinformationthatdrivesincreasinglyefficient,moretransparentmanufacturing,distributionanddirectstoredelivery.

HOW MUCH OF A PRIORITY SHOULD YOU MAKE THE IIOT? AND HOW QUICKLY WILL IT PAY OFF?

Today’swarehouseandsupplychainmanagersdonothaveexcesstimeontheirhands–infact,it’squitetheopposite.

AccordingtotheGeneralElectricIndustrialInternetInsights2015report,80to90percentofrespondentsindicatedthatbigdataanalyticsiseitherthetoppriorityorinthetopthree,butonly43percentclaimedtheycurrentlyengageinbigdataanalysis.Nowisthetimetotakestepstowardsimplementinganalyticsolutionstoprotectandgrowmarketshare.

Whilethepainofchangeisusuallyfeltmostdeeplyatstartup,thelong-termbenefitofsuchinvestmentisclear.Addingbigdataanalysiscantransitionorganizationsfromreactiveintopredictiveandautomatedenterprises.OperatingasmartDConthecuttingedgeofbigdataandtheIIoTalsohelpsattractmorequalifiedtalent—avitalbenefitinanindustrythatstrugglestofindandretainlabor.

How much of a priority should you make the IIoT? And how quickly will it pay off?

WhatistheIndustrialInternet ofThings?

80-90%of companies list big

data as a priority

43%are currently engaged

in big data analysis

HOW CAN YOU PROTECT YOUR NETWORK AGAINST CYBERSECURITY THREATS?

Understand the importance of cybersecurity

AGartnerstudyindicatesthatmorethanhalfofmajornewbusinesssystemswillincorporatesomeelementoftheIoTby2020.Asgeneratingandsharingdigitalinformationbetweenorganizationsandsuppliersbecomesincreasinglyprevalent,keepingthisdatasecuremustbeatoppriority.Afterall,greaterintegrationandconnectivitypointscanmeanagreaterriskofvulnerability.Justoneattackcontainingasingularpieceofmalwareisallittakestowreakhavoc,hinderingproductionanddamagingacompany’sreputationasasecurebusinesspartner.

In2013and2014,maliciouscyberattacksstrucklargeretailersacrossseveralindustries,fromofficesuppliesandgrocerytohomeimprovementandgeneralmerchandise.Bytargetingpoint-of-salesystems,thesedatabreachesexposedthepersonalandfinancialinformationofhundredsofmillionsofcustomers.Thedamagewassignificant,withretailersonthehookforsignificantfinancialdamagestobothconsumersandbankinginstitutions,andsufferingheavyblowstotheirreputationsintheeyesofconsumers.

In 2018, cybersecurity spending is predicted to soar to $101 billion. And by 2020, spending is expected to reach $170 billion.

How can you protect your network against cybersecurity threats?

Know the risks: Collaborate with vendors and avoid weak links

Cybersecuritycannotbeviewedasasolelyinternalventure,butratheracollaborativeeffortthroughouttheentiresupplychain.Everyentityacompanydoesbusinesswithcanposeathreat,asdatalossandcompromisesviathirdpartiesareagrowingproblem.

Companiesareonlyassecureastheirweakestpartner’scybersecurityprotocols.BuildingasecurefoundationrequiresextensivevettingandsecuritystatementsfrompotentialpartnersineveryRFPandcontract.Afterall,thehigh-profiledatabreachescouldnothavebeenpreventedbyin-housesecuritymeasuresalone.Inonecase,hackersgainedentrytopoint-of-salesystemsviastolencredentialsfromathird-partyHVACvendor.

Inthewarehouse,theWMSisaprimeobjectiveforcybercriminals.Avulnerabilityhererisksbringingthroughputtoahaltandexposingsensitiveinformation.Likeallotherbusinesssystems,warehousesoftwareshouldbebehindasecurefirewall.

59% of companies do NOT have a process for assessing cybersecurity capabilities of third-party providers with whom they share data or networks.

Be proactive and secure against data loss and compromise

Ascyberattacksbecomemorecommon,thecybercriminalswhoperpetratethembecomemorebrazen,skilledandrelentless.Stavingoffsuchadvanced,persistentthreatsleavesnoroomforcomplacency.Mountinganeffectivedefensetakesproactive,robustsecurityprotocolssupplementedbyongoingvulnerabilityscans.

Thefollowingprinciplescanlaythefoundationforareliablecybersecurityeffort:

Educate everyone at every level –Manydatabreachesaretheresultofoverlookingcompliancerules.Startbytrainingemployeesateveryleveltovaluetheimportanceofcybersecurity.

Maintain communication across the supply chain –Remember,whileanattackisgenerallyonlysuccessfulattheweakestlink,itcaninterferewiththeentiresupplychain.Supportconsistencyandavoidbusinessdisruptionanduncertaintywithregularcommunicationamongsuppliersandcustomers.

Thoroughly vet vendor security capabilities –Instituteavendorvettingprocessbeforeapprovinganynewpartner.Thispracticeshouldalsoincludeannualreviewsoncompliancewithsecuritystandards.

HOW DO YOU GET THERE?

InvestmentinITinfrastructurecanbedaunting,sostartsmall,trackROIandscaletowardsgreatercapability.

Identifypotentialholesandthreatstooperationalefficiency,andthensortinitiativesbypriority.Forexample,ifanoperation’sbiggestconcernissafety,theycantrackcommonaccidentlocations.Or,ifintenseseasonalpeaksarethenorm,tracklaborproductivityandutilizationtoplanforovertimeworkers.

Start with simple steps:

• Equip forklifts with data-collecting sensors – Takeadvantageofbasictelemetryfunctions–faultcodes,usagemonitoring, GPS,etc.–andsetupautomatedworkflowstogettherightinformationinfrontoftherightpeople.Thisenablesautomationof fleetmanagement,routeadjustmentandmaintenancedecisions.AccordingtoSupplyChain24/7,puttingavehiclemanagement systemonalifttruckdeliversa5percentincreaseinproductivitybyidentifyinginefficientoperatorbehaviors.

• Add sensors to key operational assets – Sensorsanddetectorscanbeplacedinvariouslocationsonconveyors, sortersandothermechanicalequipmenttocaptureawiderangeofoperationaldata.Smartsystemscanhelpcollectand disseminatecrucialinformationaboutwarehouseoperationsandproductivity,withoutoverwhelmingoperationswithdatathey cannotputtoproductiveuse.

• Make adjustments to the WMS – Datatrackingandanalysiscanbeusedforsimplerinventoryvalidationtodecreaseerrorsand improvemorecomplexdecisionslikedeterminingidealbinlocations.Anotherimportantapplicationofbigdatainthewarehouseis ameaningfulviewacrosstheenterprise.ThemoredatatheWMScaptures,themoreinformationavailabletodrivemoreinformed decisionsandreactquicklytosolveproblems.

Asoperationscollectmoretypesofdatainmorelocations,theycancombinedifferentdatasetsandspecificexperiencestooverallsupplychainmanagement.Choosetherightpartnerwiththerighttechnology,knowledgeandexperiencetoaddressthechallengesindeployingandmanagingasolutionofsuchscale.

How do you get there?

Prepare for Industry 4.0

Industry4.0representstheultimateendgameofbigdata,connecteddevicesandsimilartechnologies.WhileIndustry3.0focusedontheautomationofsinglemachinesandprocesses,Industry4.0focusesonthedigitizationofallphysicalassetsinawarehouse,withroboticsconnectedremotelytocomputersequippedwithmachinelearningalgorithmsthatcanlearnandcontrolequipmentwithverylittleinputfromhumanoperators.

ManyoftheapplicationsofIndustry4.0arestillnotyetwidelyadoptedintoday’swarehouses,butthatchangeseveryday,withdifferentindustriesimplementingbigdataapplicationsatvaryingspeeds.

Whetherusedtoplanlabor,optimizelifttruckfleetusageandmaintenance,enhancesafetyorcreateidealinventoryflow,bigdatainmaterialshandlingcanleadthewaytotremendouscompetitiveadvantages.Furthermore,theearlyadoptersofdigitalDCsofIndustry4.0canhelpsetorinfluencetechnicalstandardsasadoptiongrowsandthesetechnologiesbecomeubiquitous.

How do you get there?

27www.yale.com

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