Building Digital Twins
The LEAD project
The ultimate objective of introducing these Digital Twins in last mile logistics was to improve the operation and efficiency of parcel delivery, reduce costs and externalities through forecasting and predictions of future states and support advanced decision making through the entire logistics lifecycle, while also fostering stakeholder participation via reliable real-life information.
Technology enablers for building Digital Twins include modelling, predictive analytics and decision-making methods, and the use of lifecycle-oriented knowledge with historical and real-time operational and city data. A Dynamic Data-Driven Application System (DDDAS) will manage the real-time coordination of models and data, interfacing to digital platforms, APIs and sensors and integrating city data in the models.
The Digital Twins enable the co-design of value cases by suppliers, shippers, policy makers and urban planners, and the development of solutions for integrated systems of logistics/freight operations in urban, metropolitan and peri-urban areas, introducing low-emission, connected/automated delivery vehicles.
Long term vision
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861598 The sole responsibility for the content of this website lies with the authors. It does not necessarily reflect the opinion of the European Union. Neither the Agency nor the European Commission are responsible for any use that may be made of the information contained therein. LEAD is a project under the CIVITAS Initiative, an EU-funded programme working to make sustainable and smart mobility a reality for all. Read more – civitas.eu
In this project we used a set of supply chain network models to simulate the different scenario’s and simulate the performance and lead-times: Simulation module of our Spanning Tree platform, Multi-echelon inventory optimization and costs database.