Resultsfrom a pre-studywithinDrive Sweden
Transcript of Resultsfrom a pre-studywithinDrive Sweden
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