Lead-time-based freight routing in multi-modal networks considering the Physical Internet

Lead-time-based freight routing in multi-modal networks considering the Physical Internet

Shahedi, Alireza (University of Genoa)
Gallo, Federico (University of Genoa)
Saeednia, M. (TU Delft Transport and Planning)
Sacco, Nicola (University of Genoa)

2023

This paper addresses the problem of optimizing the transport of goods in the Physical Internet (PI) framework in a multi-modal setting using a multi-objective mixed-integer linear programming (MILP) approach. The model is specifically designed to meet the requirements related to modular shipments and PI-hubs, and in particular, determines the allocation of modular shipments to each transport mode in an intermodal setting. In doing so, parallel direct connection via road, the delivery times and the transportation costs are minimized. The model is applied to a numerical case study, to test its effectiveness to enhance freight transport efficiency within the PI framework, by exploiting, in particular, all the capacities of the available vehicles. In addition, a sensitivity analysis is conducted on some model parameters, to test its reaction to changes in the supply system and in the objective priorities. Results show that all the shipments are effectively transported between the origin and the destination terminals, they are divided into modules when necessary, and the selected transport modes, allocation strategy, and delivery times vary accordingly to the objective priorities.

freight transport
physical internet
optimization

http://resolver.tudelft.nl/uuid:ee440cf4-e8ba-4554-9f7d-d3c5ebeb62f0

https://doi.org/10.59490/jscms.2023.7183

2451-9901

Journal of Supply Chain Management Science, 4 (3-4), 61-80

IPIC 2023 - 9th International Physical Internet Conference, 2023-06-13 → 2023-06-15, Wyndham Athens Hotel, Athens, Greece

Institutional Repository

journal article

© 2023 Alireza Shahedi, Federico Gallo, M. Saeednia, Nicola Sacco