Empowering Logistics with Intelligence™
Transcription
Empowering Logistics with Intelligence™
Empowering Logistics with Intelligence™ Logit One NV - Frank Knoors, Managing Director ILiM / GS1 Poland – Marcin Hajdul www.logit-one.com Adding Intelligence to Visibility data GS1 Transport & Logistics Workshop 12-13 October 2015, Warsaw, Poland Document: Version: Logit One NV - GS1 (131015) – E3.pptx E3 Date: 12-10-2015 www.logit-one.com 2 Empowering Logistics with Intelligence™ SaaS (Softwareas-a-Service) Combining logistics, business process & IT expertise Logit One Company introduction www.logit-one.com Mission Enable logistics actors (shippers, forwarders, carriers, ports & terminals, beneficial cargo owners) to implement easy-to-use: End-to-end logistics planning & visibility Vertical & horizontal collaboration Sharing of information within supply chains Data sourcing & sharing consolidatedforintelligence toiden7fydisrup7ons&inefficiencies Big data for logistics predic7vecapabili7es forvalueaddedservices Services platform forplanning&execu7on ofmul7-modallogis7csprocesses Bundling, intermodal & reuse whereindividualcompaniesaretoo smalltoachieveitbythemselves Logit One Playing field www.logit-one.com 4 Rerouting & rescheduling dynamic&in-transit toprovidehighlevelsofresilience 2011-13 / EU FP7 project on Mobilizing Freight Data, see http://www.comcis.eu/ 2013-15 / Launching end-to-end supply chain visibility, see http://logit-one.com/playing-field/situational-awareness-in-global-forwarding 2014-15 / Launching synchro-modal hinterland management, see http://logit-one.com/playing-field/port-flow-control-and-hinterland-access Adding Intelligence to Visibility data Experiences gained www.logit-one.com 5 A. Solve the “Black Box” effect • End-to-end logistics chains have multiple actors & synchronization points • Even in case of transshipments within mode, the link "container / transport means" gets lost B. Provide consistent data • There are many proprietary container-tracking mechanisms, each with its own interface The starting point for action is reliable information • Multiple data sources sometimes provide contradictory or incomplete information • Reduce uncertainty + impact on operational costs & service quality C. Be proactive • Calculate knock-on effects of process disruptions & delays • Accurately predict when shipments will arrive Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information www.logit-one.com 6 A. Solve the “Black Box” effect • End-to-end logistics chains have multiple actors & synchronization points • Even in case of transshipments within mode, the link "container / transport means" gets lost B. Provide consistent data • There are many proprietary container-tracking mechanisms, each with its own interface • Multiple data sources sometimes provide contradictory or incomplete information • Reduce uncertainty + impact on operational costs & service quality C. Be proactive • Calculate knock-on effects of process disruptions & delays • Accurately predict when shipments will arrive Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information www.logit-one.com 7 1. Bundled transport volumes towards horizontal collaboration 2. Deploy intermodal expertise for better usage of rails & barge transportation 3. Re-use of empty containers for avoiding transportation of 'empty' kilometers 4. Better balancing hinterland network Stop thinkingofinthe isolated compartments 5. Less container moves and shorter dwell & waiting times 6. Modal split improvement towards sustainability 7. Competitive port positioning through more performant hinterland links Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources www.logit-one.com 8 1. Bundled transport volumes towards horizontal collaboration 2. Deploy intermodal expertise for better usage of rails & barge transportation 3. Re-use of empty containers for avoiding transportation of 'empty' kilometers 4. Better balancing of the hinterland network 5. Less container moves and shorter dwell & waiting times 6. Modal split improvement towards sustainability 7. Competitive port positioning through more performant hinterland links Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources www.logit-one.com 9 Information from: loading units transport means transport services transshipment nodes available capacities transport demand needs to be bundled & processed to translate raw data into business intelligence Adding Intelligence to Visibility data From Business Data to Business Intelligence www.logit-one.com 10 Create situational awareness for ocean freight to • improve operational control • enhance general service levels towards customers Adding Intelligence to Visibility data Client wants to improve ability to identify & react to deviations www.logit-one.com 11 Forwarders orchestrate many actors along the supply chain which means information needs to be standardized Adding Intelligence to Visibility data Use data on transport units, transport means & services www.logit-one.com 12 .. and consolidated to achieve more reliable and complete information for situational awareness. Adding Intelligence to Visibility data Create intelligence by interpreting & validating raw data www.logit-one.com 13 A single service supports pro-active control towers to avoid (or mitigate impact of) supply chain disruptions ... Adding Intelligence to Visibility data Dashboard to drill-down, forecast & address conflicts of data www.logit-one.com 14 ... easy access to end-to-end transport options, empty containers, and dynamic planning of hinterland operations Adding Intelligence to Visibility data Hinterland community solution to support shippers, forwarders & operators www.logit-one.com 15 These eFreight Common Framework interfaces are being included as standardized electronic documents in the ISO/IEC FDIS 19845 standard. Incorporates requirements from: • • • • • • • • • Intermezzo: How does it work? Building workflows from transport services www.logit-one.com 16 WCO data model Multimodal framework ARKTRANS Requirements from all types of stakeholders Harmonised with LIM from GS1 ITIGG (Int'l Transport Impl. Guidelines Group) Guide to UN/EDIFACT containers messages Ports of Singapore and Hong Kong US Dept. of Transport UN/CEFACT Create business intelligence by data consolidation Business rules lead to unambiguous conclusions Assess knock-on effects through forecasting Multiple integrated data sources Transport request Transport services Event Operator websites Event Conclusion Business rules Tracking devices Event Alerts Data conflict Conclusion Plan logistics chains & networks Process shipment status & forecast Transport orders Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers www.logit-one.com 17 Subscriptions Alerts Alerts Testimonial: Adding intelligence to visibility data delivers ... ... full end-to-end visibility from place of loading till final delivery including all involved logistics partners and their connected sources [based on] consolidated real time & reliable data ... ... intelligent data consolidation from multiple external and internal sources, which needs to be standardized and interpreted - to reach reliable conclusions and create situational awareness ... ... raise standard services to enhanced levels in order to being able to deal with the special requirements and concerns of strategic customers ... Source: DHL Global Forwarding, APCS Seminar on Supply Chain Visibility, Antwerp, 7th Nov 2013 Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers www.logit-one.com 18 Commercial release Customs authorities Ocean carriers Discharge confiirmation Customs release Greenlightintegra,on Terminal operators Service offerings Transport request (Direct) shipper Forwarder Plan approval Customer portal CBP Planner Service booking Synchromodal planning & execution platform End-to-end visibility Provider portal Transport operators Service status CBP Plan logistics chains based on horizontal collaboration Container reuse request Ocean carriers Empty containers in depot Container depots Containerreuse Case study: Hinterland management services platform Antwerp Freight Forwarders' Association, Port of Antwerp www.logit-one.com Facilitate in-transit management of disruptions Case study: Hinterland management services platform Antwerp Freight Forwarders' Association, Port of Antwerp www.logit-one.com Managementof terminal opera7ons Transport managementof railopera7ons Transport managementof bargeopera7ons Transport managementof roadopera7ons EPCIS eFreight Framework (ISO/IEC19845) GS1keys (SSCC,GINC, GSIN,GLN) A glimpse of the future: Building blocks Towards reliable & efficient logistics www.logit-one.com 21 Large portion of hinterland transport by road (Antwerp: 56%) ServicesplaRormfor planning–execu7ng-monitoring mul7-modallogis7cs 30-40% of transported containers are empty Lastmile processor Trucks are on average half empty Flanders eF GS1 eF GS1 Poland eF GS1 eFreight Framework GS1keys EPCIS BEANR Antwerp CommunityplaRormA eFreight Framework GS1keys Community plaRormB FND Lastmile processor EPCIS eF GS1 eF GS1 eF GS1 A glimpse of the future: Federation of communities + interoperability of services Towards reliable & efficient logistics www.logit-one.com 22 ServicesplaRormfor planning–execu7ng-monitoring mul7-modallogis7cs EPCIS(OceanCarrier) EPCIS(Imp.Forwarder) EPCIS(Exp.Forwarder) EPCIS(Shipper) Event Tagging Factory EPCIS(Consignee) AggregaAon Gatein Warehouse Gateout Gatein Loading Road Container Terminal DisaggregaAon Unloading Ocean Container Terminal Road Warehouse Tag printer Procedure Customs Clearance A glimpse of the future: Sharing events in real time Towards reliable & efficient logistics www.logit-one.com Customs Clearance Gatein Consignee ServicesplaRormfor planning–execu7ng-monitoring mul7-modallogis7cs ... shared with authorized parties Query & Response Receiver EPCIS Repositories Freight forwarder Shipper ... enriched by consolidated data Transport Query Operator & Response “Which container holds this shipment?” “Where is the container holding this shipment? “ “Which pallets have been loaded?” “Where are the goods I ordered” Query & Response A glimpse of the future: Sharing events in real time + enriching data Towards reliable & efficient logistics www.logit-one.com Query & Response Empowering Logistics with Intelligence™ One service to plan and follow up multi modal logistics operations Transform SC wide data into reliable and complete information Create situational awareness to support operational decisions Achieve true visibility and in-transit deviation management & optimisation Reduce impact of supply chain disruptions and optimal use of resources Logit One Unique added values www.logit-one.com 25 Any other questions or comments? Please contact us! Frank Knoors Managing Director E f.knoors@logit-one.com T +32 14 570 604 M +32 475 722 056 www.logit-one.com 26