Automated logistics servicesResults fromapre-study within DriveSweden

SofieVennersten,CLOSER

DriveSwedenForum2017-05-31

Some trendsaffecting freight andlogistics

Urbanisation

Changed behaviours andnewbusinessmodels

Climate impact – allmodesoftransportmustbemade moreefficient

Digitalisation &automation

• High demands onurbanandregionaltransports,forexample regarding efficient transferbetween differentmodesof transport

• Lackof knowledge of existing transportflows,particularly inurbanareas• Fragmented andunconsolidated flows with low energy- andinfrastructure use• Manualtracing andtranshipment (costly)• Security aspects connected todigitalisation

Some challenges…

… but also large potential

• Increased connectivity,automationandintroduction of newtechnology within thefreight transportsystemhave thepotentialto:

Ø increase efficiency within existing services(more efficient useof theexisting transportsystem)

Ø beadriving forceforinnovationof newlogistics servicesandsolutions

Ø have thepotentialtomeet thechallenges anddemandsplaced onthesystemandthewhole supply chain

Automated logistics services (AutoLog)

Aproject within DriveSweden,funded bythe SwedishEnergyAgency,the SwedishResearchCouncilFormas andSweden’s innovationagency VINNOVA

ProjectperiodSeptember2016–May2017.

Budget:1,4MSEK(50%co—funded by)

Projectaim andmethod

• Toidentify regionalandurbanlogistics flows where automationanddigitalisation have potentialandcould provide possibilities forincreasedefficiency inthefreight transportsystem

• Theidentification iscarried out ”bottom—up”:based onstakeholders´estimationsofpotential,needsfornewtechnologies,andnecessaryactorconstellations,casesaresuggestedwhereactorsarepreparedtoruninnovationprojectstobenefitfromtheseopportunities.

• CLOSER(LindholmenSciencePark)– Projectcoordinator• RegionÖrebrolän• Gävlekommun&MellansverigesLogistiknav• DHLFreight• Chalmers• Sweco• Trafikanalys• Sandvik• CargoBeacon• Invotech

PartnersinAutoLog

Actors participating ininterviews andworkshopsEricssonIBMKopparbergsbryggeriEEL/ELONScandfibre LogisticsFORTUMBillerudKorsnäsSpendrupsZinkgruvanNärkefraktOrklaVolvoCargoSpace 24SchenkerProperties

GöteborgsstadPindeliverWisetraxGävleHamnYilportScaniaToplogicLindeToyotaMaterialHandlingDBSchenkerTrafikverketGästrikeÅtervinnareHägerstrands

• Approximately10caseshavebeenidentifiedwithproposalsforstepsforward

• Stateoftheartaswellasongoingandfinishedprojectsinthisdomain

• Anewstructureofautomatedlogisticsservicesfromanoperationalpointofviewhasbeendevelopedinwhichthedifferentlogisticsprocesseshavebeengroupedforanumberofstrategiclogisticsareas

Projectresults

• Industryservices• Terminalservices• Lastmileservices• Wastecollectionservices

Structure Automated logistics services

Industry services

Leverantörer

Hamn/Kombiterminal

Terminal/Lager

Godsmottagare/

Kund

Terminal

#2.5

#2.5

Industri

# 2.4 #3.2

Hamn/Kombiterminal

#2.5

2.4IoT förautomatiseradspårningavpartigods2.5 Monitoreringavviktmässigfyllnadsgradsamtförbättradtrafiksäkerhetm.h.asmartasensorer3.2 Automatiseraddokumenthanteringochmultimodalinformationsdelningvidknutpunkter

Speditör

Transportör

Transportör

Transportör

Transportör

Transportör

Internetof Things forautomated tracing industry goods

Idea andcontent• Forindustry goods there isaneed fordirectly being able totrace thesituationof thegoods.Today,robust”trackers”that can beproduced andoperated toalow cost ismissing forthis purpose.There isnostandardforinformationafterthefreight leaves theshipper.• Develop afinancially sustainable tracing technology (Tracker)forthis type ofgoods based onthelatest IoT technique that can meet challenges such astransporterneutrality,sustainability,simpletouse….

Terminal services

Hamnterminal

Kombiterminal

Cloudthat enables automated informationsharing ande-freight

Godsterminal

Godsmottagare/

Leverantör

Kombiterminal

Expedition #2.1

Speditör

Rederier

Terminalområde

#3.4#3.4#3.11

Transportör

#3.4

2.1Predikteringavankomsttider(ETA)3.4Automatiseradangöring/backninglastbil3.11Automatiseradomlastningförintermodaltransport3.12Gränssnittterminalochankommande/avgåendelastbil

#3.12

Automated document handlingandmultimodalinfomation sharing innodes

Idea andcontent• Multimodalinformationsharing between differentmodes(how informationshould beshared,howdatabetween themodescould beconnected,whogetsaccess,which datashould beshared,how arebenefits created andforwho?)

Interfaceterminalandincoming/outgoing truck

Idea andcontent

• Bybetter controlling theuse of gatesandalso getting aflow of trucksadapted toavailable gates,theproduction flow could bemore efficient,andtheenergy consumption intheterminalcould bereduced.• Communicationbetween vehicles andsystemsthat control theuse ofgatescould further contribute tomore terminalefficiency.Additionalaspects could beif you can drivethetruckdriverlesstotherightgate(automated docking /reversing).

Lastmileservices

3PL Godsmottagare/KundTerminal

Mikroterminal

#1.4

Terminal

Speditör

Transportör

E-handelsföretag

#1.1#1.2

TransportörTransportör

1.1 Leveransbekräftelsefrångemensamlastmileoperatörtillspeditör(neutraltgränssnitt)1.2 Pullsystemförkundstyrdhemleveransavstoravaror1.4 Automatiseradspårningavfordonochlastbärare

Ombud

Paketboxetc

Automated tracing of vehicles andload carriers

Idea andcontent• Forallstatistics collection,reporting burden should beminimized.• Much of thetransportdatatoday isfound indifferenttypes of systems,many of them managed bytransportcompanies andfreight forwarders.• Byautomationof datacollection (andmade available torelevantauthorities),itwould bepossible tocollect larger amounts of data,which also holds better quality than manually collected data• Afirst stepcould betobuild atestdatabase with realdataandapplications toanalyse data

Proof of delivery fromcommonlastmileoperatortoforwarder (neutralinterface)

Idea andcontent• Develop anddemonstrate aneutralITsolutionthat canhandle proof of delivery andcommunicate with differentforwarders´ ITsystemsseparately,toreduce one obstacleforconsolidation

• Applicable forboth urbanenvironments andforoutbound flows with many subcontractors

Waste collection services

Kärl

Kärl

Kärl

Avfalls-entreprenörer(t.ex.Renova,Stena,Suez)

Kärl

Kärl

Kärl#1.10

Cloudservicecontrolling thebinsandthetransportsof them

1.10IoT ochsmartasensoreriavfallskärlföreffektivareinsamlingavfarligtavfall

IoT andsmartsensorsinwaste binsforefficientcollection of dangerous goods

Idea andcontent• Develop andtestconnected waste binsforhazardous wasteinordertooptimise andplanrouteforpickup.IoT andsmartsensorsthat makeitpossible tofind out how fullthebinsare inrealtime,getthebinsto"talk"with theoperatortopickup andthus plananoptimised routeforpickupalongthis.

Conclusions

• Thereisalackofautomationeffortsinanumberofareaswithalargepotential

• Implementationistrickyandsometimesrisky.Thereisthusaneedforpublicco-financingintheareaandexperienceexchange

• Strategic cooperation between differenttypes of actors will benecessary along with further researchanddevelopment.

ØCLOSERwill continue thework onAutomated logistics servicesinalong-termperspective

Logistics control data- Load containerassigned- Consolidation plan- Multimodalrouteplan- Time plan- Terminaltransactions- Truck/train/ship/flight- Load &driving instructions- ….

Packet/party/etcgoods data- Documents/e-CMR- From/to- Type- Volume/Weight- Position- Temperature- FragilityContainerdata

- Content- Weight fill- Volume fill- Climate- Position

Serverdataopen;commerciallyavailable;confidential

Vehicle data- Functionstatus- Energystored- Powerconsumption- Emission- Speed,interference- Roadcondition

Terminaldata- Position- Accesstime- Confirmations

Traffic services- Traffic control- Accessplanning- Monitoring- Charging- Parking/Events

Traffic data- Roadnetwork- Roadcharges- Traffic conditions- Roadconditions- Energysupply- Accessability- Monitor

Haulier services- Fleet disposition- Vehicle availability- Driveravailability- Dispatch

Forwarder services- Consolidation- Sharing- Tracking- Energyplanning

Terminalservices- Arrival prediction- Accessmanagement- Transhipment- Vehicle integration- Materialshandling

2017-05-29 Logisticsvision- Cloudsupportedservices0.2,LGRetal; 23

Servicesenginescommercial;public;generale.g AI

Businessservices- Industry- Food- Refuse- Packet- Building material

Automated &Autonomous production of logisticsservices Regulatory services

- Alcohol- Greenlabeling- Dangerous goods- …

Driverdata- Status- License- Working hours- Conditions- Approvals

with virtual sub-systemsindistributedcloud &IoTinfrastructureplattforms

CLOSER

Thanks foryour attention!

Sofie.vennersten@lindholmen.se