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Doff&Co 1 Outlining Industry 4.0 A map and a description By Jan Lindoff, Doff & Co 20180603 Vertical integration Horizontal integration Smart products Intelligent connected machines Connected humans AI Robotics VR Networked maschines Product line Plant Production capabilities Corporate planning ERP MES SCADA PLC Internet of Things Sensor Research Vertical IT I/O End-to-end digital integration of engeering cross the entire value chain Integration of the psycical world with the digital (Twin) & Advanced analystics Horisontal integration of value networks end-to-end Product design Product planning Production engineering Production Services Smart logistics Smart mobility Internet of people Big data Internet of services Physics based analytics Predicteve algorithms Digital twin Cloud computing Content/Context mapping Collaboratuion Horiztontal enabling ICT technologies BPM Business modelling Corporate supply chain Integration vertikal/horizontal Industry 4.0

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Page 1: Outlining Industry 4 - Doff&Co Industry 4.pdf · ofThings Sensor Research VerticalIT I/O End-to-end digital integration ofengeeringcross the entirevaluechain ... Cloud computing Content/Contextmapping

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Outlining Industry 4.0

AmapandadescriptionByJanLindoff,Doff&Co20180603

Vertica

lintegratio

n

Horizontal integration

Smartproducts

Intelligentconnectedmachines

Connectedhumans

AIRobotics

VR

Networkedmaschines

Productline

Plant

Productioncapabilities

Corporateplanning

ERP

MES

SCADA

PLC

Internetof Things

Sensor

Research

Vertical ITI/O

End-to-enddigitalintegrationof engeering crosstheentire value chain

Integrationof thepsycical world with thedigital(Twin)&Advanced analystics

Horisontalintegrationof value networks end-to-end

Productdesign Productplanning Production engineering Production Services

SmartlogisticsSmartmobility Internetof people

Bigdata Internetof servicesPhysics based analytics Predicteve algorithms

Digitaltwin

CloudcomputingContent/Context mapping

Collaboratuion

Horiztontal enabling ICTtechnologies

BPM

Businessmodelling

Corporatesupply chain

Integrationvertikal/horizontal

Industry 4.0

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Contents

1. INTRODUCTION.......................................................................................................................3

2. VERTICALINTEGRATIONANDNETWORKEDMANUFACTURINGSYSTEMS................................72.1. SUBJECTMATTEREXAMPLES,VERTICALINTEGRATION........................................................................8

3. HORIZONTALINTEGRATIONTHROUGHVALUENETWORKS.....................................................93.1.HORIZONTALINTEGRATIONOFVALUENETWORKSEND-TO-END.................................................................93.2.THEINTEGRATIONOFTHEPHYSICALWORLDWITHTHEDIGITAL...............................................................103.3.ADVANCEDANALYTICS.....................................................................................................................103.4.SUBJECTMATTEREXAMPLES,HORIZONTALINTEGRATION......................................................................11

4. END-TO-ENDDIGITALINTEGRATIONOFENGINEERINGACROSSTHEENTIREVALUECHAIN....12

5. OTHERGENERALAREASOFIMPORTANCE.............................................................................13

6. REFERENCES..........................................................................................................................14

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1. IntroductionThefirstthreeindustrialrevolutionscameaboutasaresultofmechanisation,electricityandIT.Now,theintroductionoftheInternetofThingsandServicesintothemanufacturingenvironmentisdrivingafourthindustrialrevolution. ThedefinitionoftheoriginatorsofthetermIndustry4.0:Industry4.0(GermanIndustrie4.0)describesafuturescenarioofindustrialproductionthatischaracterizedbythreemainaspects:

• anewleveloforganizingandcontrollingtheentirevaluechainwiththelifecycleofproducts

• theavailabilityofallrelevantinformationinrealtime• thecreationofdynamic,real-timeoptimizedandself-organizingcross-company

valuenetworksTherearefourdesignprinciplesinIndustry4.0.TheseprinciplessupportcompaniesinidentifyingandimplementingIndustry4.0scenarios.

• Interoperability:Theabilityofmachines,devices,sensors,andpeopletoconnectandcommunicatewitheachotherviatheInternetofThings(IoT)ortheInternetofPeople(IoP)

• Informationtransparency:Theabilityofinformationsystemstocreateavirtualcopyofthephysicalworldbyenrichingdigitalplantmodelswithsensordata.Thisrequirestheaggregationofrawsensordatatohigher-valuecontextinformation.

• Technicalassistance:First,theabilityofassistancesystemstosupporthumansbyaggregatingandvisualizinginformationcomprehensiblyformakinginformeddecisionsandsolvingurgentproblemsonshortnotice.Second,theabilityofcyberphysicalsystemstophysicallysupporthumansbyconductingarangeoftasksthatareunpleasant,tooexhausting,orunsafefortheirhumanco-workers.

• Decentralizeddecisions:Theabilityofcyberphysicalsystemstomakedecisionsontheirownandtoperformtheirtasksasautonomouslyaspossible.Onlyinthecaseofexceptions,interferences,orconflictinggoals,aretasksdelegatedtoahigherlevel.

Inthefuture,businesseswillestablishglobalnetworksthatincorporatetheirmachinery,warehousingsystemsandproductionfacilitiesintheshapeofCyber-PhysicalSystems(CPS).NowaglobaltermoriginatingfromGermanythathasspearheadedthedevelopment,structuringandorganisingofIndustry4.0(Industrie4.0).

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Inthemanufacturingenvironment,theseCyber-PhysicalSystemscomprisesmartmachines,storagesystemsandproductionfacilitiescapableofautonomouslyexchanginginformation,triggeringactionsandcontrollingeachotherindependently.Thisfacilitatesfundamentalimprovementstotheindustrialprocessesinvolvedinmanufacturing,engineering,materialusageandsupplychainandlifecyclemanagement.Thesmartfactoriesthatarealreadybeginningtoappearemployacompletelynewapproachtoproduction.Smartproductsareuniquelyidentifiable,maybelocatedatalltimesandknowtheirownhistory,currentstatusandalternativeroutestoachievingtheirtargetstate.Theembeddedmanufacturingsystemsareverticallynetworkedwithbusinessprocesseswithinfactoriesandenterprisesandhorizontallyconnectedtodispersedvaluenetworksthatcanbemanagedinrealtime–fromthemomentanorderisplacedrightthroughtooutboundlogistics.Inaddition,theybothenableandrequireend-to-endengineeringacrosstheentirevaluechain.

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Industry4.0holdshugepotential.Smartfactoriesallowindividualcustomerrequirementstobemetandmeanthatevenone-offitemscanbemanufacturedprofitably.InIndustry4.0,dynamicbusinessandengineeringprocessesenablelast-minutechangestoproductionanddelivertheabilitytorespondflexiblytodisruptionsandfailuresonbehalfofsuppliers,forexample.End-to-endtransparencyisprovidedoverthemanufacturingprocess,facilitatingoptimiseddecision-making.Industry4.0willalsoresultinnewwaysofcreatingvalueandnovelbusinessmodels.GlobalcompetitioninthemanufacturingengineeringsectorisbecomingfiercerandfiercerandmanycountrieshaverecognisedthetrendtodeploytheInternetofThingsandServicesinmanufacturingindustry.AlmostalldevelopedcountrieshavenowanationalprogramfordevelopitsindustrytowardsIndustry4.0.AnIndustry4.0referencearchitecture(RAMI4.0)hasbeendeveloped:

ThecharacteristicfeaturesofIndustry4.0are:

• Horizontalintegrationthroughvaluenetworks• End-to-enddigitalintegrationofengineeringacrosstheentirevaluechain• Verticalintegrationandnetworkedmanufacturingsystems

InthefieldsofproductionandautomationengineeringandIT,horizontalintegrationreferstotheintegrationofthevarioussystemsusedinthedifferentstagesofthemanufacturingandbusinessplanningprocessesthatinvolveanexchangeofmaterials,energyandinformationbothwithinacompany(e.g.inboundlogistics,production,outboundlogistics,marketing)andbetweenseveraldifferentcompanies(valuenetworks).Thegoalofthisintegrationistodeliveranend-to-endsolution.

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InthefieldsofproductionandautomationengineeringandIT,verticalintegrationreferstotheintegrationofthevariouscomponentsandsystemsatcrossthedifferenthierarchicallevels(e.g.theactuatorandsensor,machinesandmachinecontrol,productionmanagement,manufacturingandexecutionuptocorporateplanninglevels)inordertoconnecttoanend-to-endsolution.VerticalintegrationTheverticalintegrationincludesthehumanoperator,human-machineinterfacesaswellassmartproducts.Theend-to-enddigitalintegrationofengineeringofacrosstheentirevaluechainistheextensionofthehorizontalintegrationofthesupplychain(SCM)tobecometheintegrationoftheentireproductlifecyclemanagement(PLM)valuechain.InthefollowingchapterswilleachfeaturesofIndustry4.0befurtherdiscussed.Theillustrationbelowsummarizesthispaper:

Vertica

lintegratio

n

Horizontal integration

Smartproducts

Intelligentconnectedmachines

Connectedhumans

AIRobotics

VR

Networkedmaschines

Productline

Plant

Productioncapabilities

Corporateplanning

ERP

MES

SCADA

PLC

Internetof Things

Sensor

Research

Vertical ITI/O

End-to-enddigitalintegrationof engeering crosstheentire value chain

Integrationof thepsycical world with thedigital(Twin)&Advanced analystics

Horisontalintegrationof value networks end-to-end

Productdesign Productplanning Production engineering Production Services

SmartlogisticsSmartmobility Internetof people

Bigdata Internetof servicesPhysics based analytics Predicteve algorithms

Digitaltwin

CloudcomputingContent/Context mapping

Collaboratuion

Horiztontal enabling ICTtechnologies

BPM

Businessmodelling

Corporatesupply chain

Integrationvertikal/horizontal

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2. VerticalintegrationandnetworkedmanufacturingsystemsInshortonecouldsaythattheverticalintegrationistoconnectthephysicalproductbeingmanufacturedallthewayuptothebusinessERPandprocesseslevel.Thisforretrievingdata(bottom-up)andtodistributedata(top-down).Theverticalintegrationisdoneinreal-timeandnotbatchorientedorwithdelays.Todescribethedomain,wewalkthroughthedifferenthierarchicallevelsinvolvedstartingontheshopfloor/machinelevelwiththeproductbeingmanufacturedandcontinue“upwards”.

• ConnectivitytoSmartproducts:withmemoryandembeddedintelligencecoordinateandcontrolitsownproduction.Smartproductscancommunicatewithsmartmachinesattheworkstation,withhumansattheworkstationbutaswellviatheinternetofthingswithalllevelsintheverticalintegration.Oracombinationofthemall.

• Attheworkstation,intelligentconnectedmachinesusingprovideddataand/orlocalsensorinputtoperformproductionoperations.Intelligentmachinesincludeadvancedroboticsaswellasartificialintelligence(AI)enabledequipment.

• Attheworkstationconnectedhumansperformoroverlookproductionoperations,possibleincooperationwithintelligentmachines.Exampleofthisishuman–robotmulti-sensorinteraction.Augmentedrealityisanotherexamplehowhumanperformcomputeraidedproductionoperations.

• Before,duringandaftertheproductionoperation,relevantdataisprovided,capturedandcommunicatedintime.

• Networkedmanufacturingsystems:Machinesarenetworkedonworkstationlevel,aswellasnetworkedtoanoptimisedproductionlineorunit.Productionlinesarenetworkedtoplantlevel.Thisincludesawiderangeofoperationsincludingphysicalactionstotheproduct,measuring,corrections,mountingandassemblyjustmentioningsomesteps.Bynetworkedmeansonemachinefeedsitsoperationresultdirectlytoanothermachine.Thelowestnetworkinglevelisapurephysicalhandoverwhilemoreadvancedincludepeer-to-peercommunicationofdata.

• Humans,machinesornetworksofmachinesreportsstatus,results,supplyneedsetctoproductplanning,warehousesupply,productionmanagementandmaintenanceandsoon.Likewiseneedinstructionsandsupport.Awiderangeofprocessesandsupportsystemsareinusetodayandnotunusualistohavedifferentsystemsfordifferentpurposes,likeforinventory,resourceplanningandmaintenancescheduling.Asuccessfulverticalintegrationbringstogetheralltheseforspecificpurposesdesignedsystems.Herefollowthreeexamplesofdifferenthierarchicallevels:

• A programmablelogiccontroller (PLC),or programmablecontroller isanindustrial digital computer forthecontrolofmanufacturingprocesses,suchas assembly lines, or robotic devicesandeaseofprogrammingandprocessfaultdiagnosis.PLCscanrangefromsmall"buildingbrick"deviceswithtensofinputsandoutputs(I/O),inahousingintegralwiththeprocessor,tolarge

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rack-mountedmodulardeviceswithacountofthousandsofI/O,andwhichareoftennetworkedtootherPLCand SCADA systems.

• Supervisorycontrolanddataacquisition(SCADA)isa controlsystem forprocesssupervisorymanagementandusese.g.PLC’stointerfacewiththeprocessplantormachinery.Theoperatorinterfaceswhichenablemonitoringandtheissuingofprocesscommands,suchascontrollersetpointchanges,arehandledthroughtheSCADAcomputersystem.However,thereal-timecontrollogicorcontrollercalculationsareperformedbynetworkedmoduleswhichconnecttothefieldsensorsand actuators.

• Manufacturingexecutionsystems (MES)are computerizedsystemsusedin manufacturing,totrackanddocumentthetransformationofrawmaterialstofinishedgoods.MESprovidesinformationthathelpsmanufacturingdecisionmakersunderstandhowcurrentconditionsontheplantfloorcanbeoptimizedtoimproveproductionoutput.MESworksinrealtimetoenablethecontrolofmultipleelementsoftheproductionprocess(e.g.inputs,personnel,machinesandsupportservices).MESactbothasasystemintheverticalintegrationandasasystemforplantwidehorizontalintegration.

• Optimizationanddecisionmakingmustbeonseverallevels.Theverticalintegrationfeeddatauptolevelswithmoreend-to-endaccumulateddata(requirements,availabilities,analysisandpredictions)andthatprovidebackinstructionforoptimisation.Theverticalintegrationreachesalluptothecorporateplanninglevel,e.gtotheEnterpriseResourcePlanningsystem,ERP.

2.1. Subjectmatterexamples,verticalintegration

Theverticalintegrationcoversseveralsubjectmatterdisciplines,examplesare:

• Intelligentmachines:connected/sensors,controls&SWapp’s• Equipmentknowledges;verticalintegrationenablingtechnologies• Smartproducts:withmemoryandembeddedintelligencecoordinateand

controlitsownproduction• VerticalITintegration:VariousITsystemofdifferenthierarchallevels(sensor-

control-prod.mgmt-inventory-execution-planning)• Smartandconnectedmachinesandproducts• Internetofthings&localcommunication• Augmentedreality• Multi-sensorinteraction:human–robot• Hypetechnologies:e.g.AI

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3. HorizontalintegrationthroughvaluenetworksMuchofwhatIndustry4.0standsforrelatestothehorizontalintegration.Alreadyonshopfloorlevelorplantlevelinformationanddataisgathered,comparedwithrequirements,analysisanddecisionmakingdoneandinstructionanddataisdispatchedtorightreceivers.Thisisalsodoneontheentirecorporatesupplychainleveltooptimizesupplycapabilitieswithmarketneeds.Thehorizontalintegrationisthroughvaluechainnetworksondifferentlevels;plantlevel,production(e.g.multi-productionunits),entirecorporatesupplychainandtoenlargedcommunitiesofpartnersopeningupfornewbusinessmodelsandnewvaluenetworkparticipants.Thehorizontalintegrationcanbeseenfromthreeaspects;Theintegrationend-to-endassuch,theintegrationofthephysicalworldwiththedigital,andadvancedanalyticsthenpossiblegiventhetwofirstmentioned.3.1.Horizontalintegrationofvaluenetworksend-to-endAllfromthedifferentdomainswithinaplant,withinthecorporateproductioncapabilities,withintheentiresupplychain,withintheentirebusinessofthecorporateandwithinthewideeco-systemneedoneachlevelbeintegrated.Itstartswiththehorizontalintegrationofbusinessprocesses.Thehorizontalintegrationimpactthedesign,operationsandimprovementoftheprocessesforproductiondevelopment.ThisimplyafocusondesignandoperationsoftheProductionSystemswheretheproductisrealized.Theproductionsystemscomprisecomponentslikepremises,humans,machines,equipmentandsoftware/ICTimplyingtheneedforaholisticend-to-endprocessviewwhendesigningandoperatingtheend-to-endproductionvaluechain.ThismeansinpracticaltermstheintegrationofthevariousITsystemindifferentstagesinmanufacturing,inthebusinessplanningprocessesthatinvolveexchangeofanythingcompanywide,andinthenextlevelofenlargedcommunitiesvaluenetworks.Thehorizontalintegrationincludesensuringthattheverticalintegrationinassetsusedinthehorizontalintegrationdomain,workfromahorizontalintegrationpurpose.Theintegrationprovidesareal-timeend-to-endseamlessandtransparent“infrastructure”forinformationflow.Horizontalintegrationenablingtechnologiesiscentralknowledgeinthis.Italsoencompassesareasofsmartmobility,smartlogisticsandInternetofpeoplethatcaterforconnectedpeopleandoptimiseddecisionmaking.ItalsoincludesInternetofservicesandthechangeinbusinessmodelsandeco-systemitbrings.Itrespondsto“Ondemand”production.

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3.2.TheintegrationofthephysicalworldwiththedigitalTheconceptofthedigitaltwintothephysicalassetisfundamentalinIndustry4.0.Thedigitaltwinmustateachandeverymomentintimebeatruerelevanttwintothephysicalrealworldasset.Anassetcanbeaproductbeingmanufactured,amachine,amaterial,ameasurementoranyotherobjectintherealworld.Astheanalyticsanddecisionswillbemadeonthedigitaldata,inalmost-realtime,itisimperativethatthedigitaltwindataisofenoughqualityandaccuracy.Digitaltwin referstoadigitalreplicaofphysicalassets(physicaltwin),processesandsystemsthatcanbeusedforvariouspurposes.Thedigitalrepresentationprovidesboththeelementsandthedynamicsofhowthephysicaltwinoperatesandlivesthroughoutitslifecycle.Digitaltwinsintegrate withdatatocreatelivingdigitalsimulation thatupdateandchangeastheirphysicalcounterpartschange.Adigitaltwincontinuouslylearnsandupdatesitselffrommultiplesourcestorepresentitsnearreal-timestatus,workingconditionorposition.Thislearningsystem,learnsfromitself,using datathatconveysvariousaspectsofitsoperatingcondition,fromhumanexperts,suchasengineers,fromothersimilarmachines,fromothersimilarfleetsofmachines,andfromthelargersystemsandenvironmentinwhichitmaybeapartof.Adigitaltwinalsointegrateshistoricaldatafrompastmachineusagetofactorintoitsdigitalmodel.InIndustry4.0,digitaltwinsarebeingusedtooptimizetheoperationandmaintenanceofphysicalassets,systemsandmanufacturingprocesses.3.3.AdvancedanalyticsWiththeverticalintegrationprovidingreal-timedatafromtheproductbeingproducedandfromtheshopfloor,thehorizontalintegrationprovidingseamlessend-to-endunderstandingandadigitaltwinreplicationofthephysicalworld,thendatacanbeassembledforanalysisandoptimiseddecisions.TheamountofdataavailablebecomessignificantandthisknownasBigdata.ManagementofBigdatabecomeskey.AdvancedanalyticsextracttherightrelevantdatafromBigdata,providephysicsbasedanalyticsandthroughpredictivealgorithmguidebothoperativesteeringofindividualproductionoperations,tacticalproductionplanningaswellasdriveautomation.Bigdatachallengesincludecapturingdata,datastorage,dataanalysis,search,sharing,transfer,visualization,querying,updating,informationprivacy,securityanddatasource. Tosumitup,thereare6C’sin Big data andanalyticswithrespecttotheIndustry4.0environment.Theyare:

• Connectiondataquality,whichpertainstosensorsandnetworks• Cloudcomputing• Cyber,whichinvolvesmodel,memoryandsecurity

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• Content/Contextmappingorfiltering• Community,orsharingandcollaborationbetweenandamongstakeholders• Customization

3.4.Subjectmatterexamples,horizontalintegration

• End-to-enddigitalintegrationofvaluechain• Horizontalintegrationofvaluenetworksend-to-end• Integratethephysicalworldintothedigitali.e.build,maintainandupdateadigital

twinforallrelevantassets• Horizontalintegrationenablingtechnologies• Advancedanalytics:BigData,Physicsbasedanalytics,predictivealgorithm,

automation• Digitalend-to-endengineeringacrosstheentirevaluechainofbothproductsand

manufacturingsystems• Horizontalintegrationof:VariousITsystemindifferentstagesinmanufacturing+

businessplanningprocessesthatinvolveexchangeofanythingcompanywide+valuenetwork

• Internetofpeople:Connectingpeople,optimiseddecisionmaking• InternetofServices:Newbusinessmodelsandneweco-systems• Smartmobility&SmartLogistics• Ondemandproduction,Kanban,etc.

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4. End-to-enddigitalintegrationofengineeringacrosstheentirevaluechain

Theverticalintegrationconnectsphysicalproductandproductmakinglevelwithallhierarchallevelsuptooverallbusinessmanagementsystemandprocesses.Thehorizontalintegrationconnectsallverticalintegratedmanufacturingsystemsandnetworkstoanend-to-endsolutionallowingoptimisedanalytics,predictions,managementandcommunicationsovertheentiremanufacturingandsupplychain.Havingaboveinplacepavethewayforofanend-to-enddigitalintegrationofengineeringacrosstheentirevaluechain.ThisistoseamlessconnectResearch,Productdesignanddevelopment,Productplanning,Productionengineering,ProductionandServices.Onechallengewillbethataholisticsystemsapproachisrequiredthatspansthedifferenttechnicaldisciplinesinvolved.Thiswillrequirenewengineeringcompetencies.

Today’svaluechains–fromcustomerrequirementstoproductarchitecturesandproduction–haveoftenarisenoveraperiodofmanyyearsandtendtoberelativelystatic.ITsupportsystemsexchangeinformationviaavarietyofinterfaces,butcanseldomusethisinformationwithregardtospecificindividualcases.Thereisnoglobaloverviewfromtheperspectiveoftheproductthatisbeingmanufactured.Asaresult,customerscannotfreelyselectalloftheirproduct’sfunctionsandfeatures,eventhoughtechnicallyitwouldbepossibletoallowthemtodoso.

Themodel-baseddevelopment(enabledthroughCPS)allowsthedeploymentofanend-to-end,modelled,digitalmethodologythatcoverseveryaspectfromcustomerrequirementstoproductarchitectureandmanufactureofthefinishedproduct.Thisenablesalltheinterdependenciestobeidentifiedanddepictedinanend-to-endengineeringtoolchain.Themanufacturingsystemisdevelopedinparallelbasedonthesameparadigms,meaningthatitalwayskeepspacewithproductdevelopment.Asaresult,itbecomesfeasibletomanufactureindividualproducts.Theend-to-enddigitalintegrationofengineeringacrosstheentirevaluechainistheextensionofthehorizontalintegrationofthesupplychain(SCM)tobecometheintegrationoftheentireproductlifecyclemanagement(PLM)valuechain.

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5. OthergeneralareasofimportanceIfIndustry4.0istobesuccessfullyimplemented,researchanddevelopmentactivitieswillneedtobeaccompaniedby:

• Standardisationandreferencearchitecture:Industry4.0willinvolvenetworkingandintegrationofseveraldifferentcompaniesthroughvaluenetworks.Thiscollaborativepartnershipwillonlybepossibleifasinglesetofcommonstandardsisdeveloped.

• Managingcomplexsystems:Productsandmanufacturingsystemsarebecomingmoreandmorecomplex.Appropriateplanningandexplanatorymodelscanprovideabasisformanagingthisgrowingcomplexity.Engineersshouldthereforebeequippedwiththemethodsandtoolsrequiredtodevelopsuchmodels.

• Acomprehensivebroadbandinfrastructureforindustry:Reliable,comprehensiveandhigh-qualitycommunicationnetworksareakeyrequirementforIndustry4.0.

• Safetyandsecurity:Safetyandsecurity,physicalasforinformationanddigitalsystems,arebothcriticaltothesuccessofsmartmanufacturingsystems.

• Workorganisationanddesign:Insmartfactories,theroleofemployeeswillchangesignificantly.Increasinglyreal-timeorientedcontrolwilltransformworkcontent,workprocessesandtheworkingenvironment.

• Trainingandcontinuingprofessionaldevelopment:Industry4.0willradicallytransformworkers’jobandcompetenceprofiles.Itwillthereforebenecessarytoimplementappropriatetrainingstrategiesandtoorganiseworkinawaythatfosterslearning,enablinglifelonglearning

• Regulatoryframework:WhilstthenewmanufacturingprocessesandhorizontalbusinessnetworksfoundinIndustry4.0willneedtocomplywiththelaw,existinglegislationwillalsoneedtobeadaptedtotakeaccountofnewinnovations.

• Resourceefficiency:Quiteapartfromthehighcosts,manufacturingindustry’sconsumptionoflargeamountsofrawmaterialsandenergyalsoposesanumberofthreatstotheenvironmentandsecurityofsupply.Industry4.0willdelivergainsinresourceproductivityandefficiency.Itwillbenecessarytocalculatethetrade-offsbetweentheadditionalresourcesthatwillneedtobeinvestedinsmartfactoriesandthepotentialsavingsgenerated.

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6. ReferencesReferenceArchitecturalModelIndustrie4.0(RAMI4.0),PlattformIndustrie4.02017Industrie4.0–TechnicalAssets,Basicterminologyconcepts,lifecyclesandadministrationmodels,Zvei2016RecommendationsforimplementingthestrategicinitiativeINDUSTRIE4.0,FinalreportoftheIndustrie4.0WorkingGroup,Acatech2013"Digitaltwintoenableassetoptimization".SmartIndustry.2017."WhatAreDigitalTwinsandWhyWillTheyBeIntegralToTheInternetOfThings?".ARC.2017.RethinkingtheFactory,Arup2016Hermann,Pentek,Otto,2016:DesignPrinciplesforIndustrie4.0Scenarios,2016JürgenJasperneite:WashinterBegriffenwieIndustrie4.0stecktinComputer&Automation,December2012.HeinerLasi,Hans-GeorgKemper,PeterFettke,ThomasFeld,MichaelHoffmann:Industry4.0.In:Business&InformationSystemsEngineering4(6)Plus,anumberofarticlesinmagazinesandmedia.