In networked production environments and globalized economy an efficient, high quality and sustainable freight transport represents a crucial challenge nowadays. In this context, intermodality can reduce the environmental and social impacts of transportation operations. The paper faces the problem of freight transportation planning of logistics platforms in a multimodal network. Generally, these complex problems are approached in the literature through their decomposition into sub-problems that are individually solved. The paper presents a comprehensive model and a solution method based on Lagrangian relaxation in order to consider simultaneously the features and constraints related to short-haul and long-haul transportation. In the proposed approach a decision maker coordinates logistics platforms and aims at optimizing the transportation plans on a determined time horizon.

A comprehensive model for short-haul and long-haul transportation

Giuseppe Stecca
2010

Abstract

In networked production environments and globalized economy an efficient, high quality and sustainable freight transport represents a crucial challenge nowadays. In this context, intermodality can reduce the environmental and social impacts of transportation operations. The paper faces the problem of freight transportation planning of logistics platforms in a multimodal network. Generally, these complex problems are approached in the literature through their decomposition into sub-problems that are individually solved. The paper presents a comprehensive model and a solution method based on Lagrangian relaxation in order to consider simultaneously the features and constraints related to short-haul and long-haul transportation. In the proposed approach a decision maker coordinates logistics platforms and aims at optimizing the transportation plans on a determined time horizon.
2010
978-1-4244-7298-7
TRANPORTATION
COMBINATORIAL OPTIMIZATION
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/224567
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