- Client European Commission
- Project Logistar - Enhanced data management techniques for real time logistics planning and scheduling.
- Key Solution no
- Category Logistic and transport, R&D
The LOGISTAR project is aimed to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration among logistics agents and by leveraging an intensive use of IoT (Internet of Things), real-time data, Open Data, Artificial Intelligence and other ICT advanced techniques.
GeneGIS GI is part of a consortium of 15 partners coordinated by the University of Deusto created in response to a call for “Innovative ICT solutions for future logistics operations” under the Horizon 2020 “Smart, green and integrated transport” Work program of the European Commission.
GeneGIS GI’s role is to design and develop a real-time goods transportation monitoring tool for decision support, providing information and services to parties along the supply chain (i.e. hauliers, their clients, industries and other parties such as warehouse or infrastructure managers).
LOGISTAR is a decision support system that will compliment (run in parallel with) existing companies’ TMS (Transportation Management System) based on the concept to use “Enhanced data management techniques for real time logistics planning and scheduling” to take advantage of horizontal collaboration between logistics agents and relying on synchromodality.
To achieve this, three relevant layers of data handling are required:
- Data gathering and harmonization to ensure interoperability;
- Smart algorithms to fully support planning optimization leveraging an Artificial Intelligence focused on prediction;
- Platform services implementation consisting in a real-time decision making tool and real-time visualization tool of freight transport with a map-based interface.
The Logistar project is designed to provide more effective multi-modal management of goods transportation operations, based on collaboration among the various parties in the supply chain.
The main benefits envisaged are:
- to increase loading factors (up to 10%) by relying on synchromodality;
- to reduce the delivery routes (up to 10%) leveraging optimization techniques;
- to increasing the reliability and efficiency of services by predicting events and tracking incidents;
- to facilitate the management of logistic operations by providing dedicated dashboards;
- to increase the visibility of the delivery thanks to IoT sensors and boosting data sharing