Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
Sponsoredby:
Informa/Siemens webinarFebruary14,2018
IndustrialIoTinManufacturing:TheNextBigDigitalDisruptionPresenter:JagannathRao,SeniorVicePresident,IoTandGo-To-MarketStrategy,SiemensIndustry,Inc.
Overview
Digitaltechnologiesaredramaticallychangingmanufacturing.CustomersandthemarketareexpectingInternet-likeflexibilityandtime-to-market.Manufacturersaregrabbingholdofnewtechnologies—likethecloud,edgecomputing,machinelearning,andapplicationprogramminginterfaces(APIs)—togivethemacompetitiveadvantage.
ManufacturersarealsolookingtotheIndustrialInternetofThings(IIoT),amanufacturing-centricimplementationofIoT,tocollect,siftthrough,andanalyzedatacomingfromtheirplants.IIoTispoisedtobethenextbigdigitaldisruption,providingmanufacturerseverythingtheyneedtodecreasecosts,increaseuptime,andimproveproductstomeetcustomerandmarketdemands.
Context
JagannathRaodiscussedmajorchangesmanufacturersarefacingandintroducedtechnologiesthatmanufacturerscanusetosucceedinthechangingmarketplace.
KeyTakeaways
Manufacturingisinthemidstofadigitaltransformation.
Changingmarketandcustomerdemandsaredrivingthedigitaltransformationofmanufacturing,creatingnewbusinessmodelsandecosystemswheremanufacturerswillneedtobecomeproactiveandflexibletoremaincompetitive.
Asbusinessestransform,dataanalysistakesonanevenmorecriticalrole.Today,lessthan5%ofalldatageneratedinmanufacturingplantsisanalyzedforinsights,eventhoughthatanalysiscanbeusedtoincreasereliabilityandpredictpotentialfailures.Analyticscanpredictproblemsthatleadtocommonissuesinthefactory—warrantyissues,rejects,rework,poorquality,andwaste—andimprovereliability
Sponsoredby:
fortheparallelprocessesinwhatMr.Raoreferstoasthe“HiddenFactory.”TheHiddenFactoryincludesaspectsoffactoryoperationswherevisibilityisoftenlacking.
“Wearestillreacting;wearenotproactive.Weneedtobedoingmuchmorewiththisdatainharnessingtherichnessthatenablesustobepredictive.”–JagannathRao
Fourkeydigitaltechnologiesaredrivingchangeinmanufacturing.
Thesefourdigitaltechnologiesarecloudcomputingandanalytics,edgecomputingandanalytics,machinelearninganddeeplearning,andAPIs.
CloudComputing
Cloudcomputingmovesdataandprocessesfromthepersonalcomputer,whichhaslimitedstorageandprocessingpower,totheInternet.
WhatistheCloud?
• Hostsservers,networks,virtualmachines(VMs),applications,andservicesovertheInternet
• Offersunlimitedscalablecomputepower• Providesunlimitedscalablestoragecapacity• Isasecuresolutionwithrobustperformance• Enablescomplexapplicationdevelopmentwithadvancedanalytics• Offerspay-as-you-usepricingmodelsforflexiblebudgeting,
processing,andstorageneeds
EdgeComputing
Edgecomputingoptimizescloudservicesbyperformingdataprocessingandanalyticsnearthesourceofthedata,pre-processingdatatoavoidsendinglargevolumestothecloud.Edgecomputingisidealfor
Sponsoredby:
mission-criticalapplications,whereproblemsneedstobeidentifiedandresolvedquickly,beforeinsightcomesbackfromthecloud,aswellasforsensitivedata.Remotefacilitieswithlowbandwidth—includingoilrigsinthemiddleoftheoceanthatonlyreceivea2Gcellularsignal—findedgecomputingbeneficialsotheyarenotreliantonthecloud.Thistechnologyalsoreduceslatency,meaningdatacanbeworkedwithinnearrealtime.
MachineLearningandDeepLearning
Machinelearningusesalgorithmstoparsepastdata,learnfromit,andmakeapredictionorinfersomethingabouttheworld.Thesealgorithmscanlearnfromexperienceandbuildmodelswithoutexplicitprogramming.Deeplearningisasubsetofmachinelearning,inwhichartificialintelligence(AI)hasnetworksthatarecapableoflearning—unsupervised—fromdatathatisunstructuredorunlabeled.Imageclassification,objectdetection,andfacialrecognitionarealldrivenbydeeplearning.
APIs
APIsenabledeveloperstodesignproductspoweredbyaservice,likethoseavailableinthecloud.ModernAPIsadheretostandards,typicallyhypertexttransferprotocol(HTTP)andrepresentationalstatetransfer(REST),thataredeveloper-friendly,easilyaccessible,andbroadlyunderstood.WhilemanyAPIsarefreetouse,somehavebecomesovaluablethattheycomprisealargepartofrevenueformanybusinesses.
IIoTbringstogetherdatafromdisparatesources,enablingholisticanalysisandinsight.
Individualcomponents,machines,andsystemsinmanufacturingplantsgeneratelargeamountsofdata.Butbecausetheinformationcomesfromdisparatesourcesandtypicallyremainsseparate,itisimpossibletogainaholisticview.Usingcloudandedgecomputing,machineanddeeplearning,andAPIs,IIoTbringstogetherthisdata,offeringmanufacturerstheabilitytogainholisticinsightthroughanalysis.
Mr.RaosharedanexampleofhowIIoTwasusedinabottlingandpackagingplanttodecreasecostsassociatedwithunplanneddowntimewhenonemachinefailed.
Sponsoredby:
UseCase:IIoTinabottlingandpackagingplant
Pre-IIoT:Plantchallenges Post-IIoT:Benefits
• Planthasmultipleconveyerlines,eachwith250ormorefractionalhorsepower(FHP)motors
• Motorswereallowedtoruntofailure;thecostofmonitoringeachmotorismoreexpensivethanthemotoritself
• Unplanneddowntimeimpactsproductivity,leadingtowaste,rework,excessinventories,andotherhiddenfactoryissues
Usingdatafrominexpensivesensors($10each)placedoneachmotor,themanufacturerwasabletopredictmotorfailure,sofailingmotorscouldbereplacedduringaplannedplantshutdown
“IIoTisaverycost-effectivesolution,andatthesametime,verymeaningfulinthecontextofthemanufacturingplant.”–JagannathRao
NotonlydoesIIoTincreaseproductivityandloweroverallcosts,butitisquicklybecomingtablestakes.AsIIoTuserises—50billiondevicesareexpectedtobeconnectedby2020,andby2025,85%ofmanufacturerswillbeusingIIoT—businessesthatdonotadaptwillbedisruptedandwillnotremaincompetitive.
EquipmentsuppliersalsoseeincreasedbusinessvaluewithIIoT.
ManufacturersoperatingIIoT-connectedequipmentaren’ttheonlyonesseeingbenefits;equipmentsuppliersarealsoexperiencingvaluefromIIoT.
Bycapturingandanalyzingequipmentdata,supplierscanincreaseserviceefficiencyandreducewarrantycostswhileofferingcustomersadditionalanddifferentiatingservices,suchasavailabilityandperformanceguarantees.SupplierscanalsousedatainafeedbackloopwithR&D,allowingimprovementsbasedonreal-worldmetrics.
Siemensoffersdeveloper-friendlyIoTsolutionsforrapidandrobustimplementations.
Developer-friendlyIoTandIIoTsolutionsallowbusinessestoputrobustsolutionsinplacequickly.MindSphereofferseasyaccess,providesrapidsolutionimplementation,anddeliversrobustsupport.
MindSphererobustandsmartdeveloperservices
Easyaccess • DedicatedIoTtenant• Openplatform-as-a-service(PaaS)• Scalableandcosteffective
Rapidlyimplementsolutions
• OpenAPIs• Reusablemodules• Nativecloudaccessibility
Sponsoredby:
Robustsupport • Developercommunity• Flexibletraining• MindSpherestore
AdditionalInformation
FormoreinformationonSiemensMindSphere,visitwww.siemens.com/mindsphereorwww.mindsphere.io.
Biography
JagannathRaoSeniorVicePresident,IoTandGo-To-MarketStrategy,SiemensIndustry,Inc.JagannathRaoistheSeniorVicePresidentfortheIoTandGo-to-MarketstrategiesfortheCloudApplicationServicesbusinessunitintheDigitalFactoryDivisionforSiemens.Heisresponsibleforthedatadrivenservicesbusiness(IIoT)whichincludesMindSphere,theBigDataplatformtechnologyforSiemensforDigitalServices.Theportfolioincludesthewidespreadapplicationof“BigData”technologiesintherealmofmanufacturing,coveringtopicssuchasplantanalytics,assetanalyticsandotherdigitalservices.