An Artificial Intelligence-based software module for the optimization of collaborative delivery in last-mile logistics
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Fecha
2023
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International Physical Internet Conference
Resumen
This paper presents a route delivery planning and simulation module that forms acore part of the ICT Platform of the H2020 SENATOR project, which aims to enhance thesustainability of cities by developing a new urban logistic model. The module utilizes AI-basedoptimization algorithms to support the matching of supply and demand, identify the best fleetmix, and estimate the best delivery route based on real-time conditions. It also allows last-miledelivery planning using different transport modes, inter-modality, and driving restrictions, andsimultaneously optimizes different performance indicators. The paper provides a detaileddescription of the AI-based optimization method and the architecture and components of thesoftware module. Finally, the software module is validated in two scenarios (current operationsand implementation of a Low Emission Zone) using real shipment data from a postal operatorcompany in the living lab that the SENATOR project is implementing in Zaragoza.
Palabras clave
Last-mile logistics
Vehicle routing problem
Optimization
Dynamic planning
Multimodal
Collaborative delivery
Vehicle routing problem
Optimization
Dynamic planning
Multimodal
Collaborative delivery
Descripción
Ponencia presentada en la 9th International Physical Internet Conference (IPIC 2023), celebrada en Atenas entre el día 13 y el 15 de junio de 2023
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Cita
Fajardo Calderín, J., Masegosa Arredondo, A. D., Elejoste Larrucea, M. P., Moreno Emborujo, A., Cantero López, X., & Angulo Martínez, I. (2023). An Artificial Intelligence-based software module for the optimization of collaborative delivery in last-mile logistics. International Physical Internet Conference - IPIC 2023: Conference papers and posters Contributions Proceedings.