Intelligent Collaborative Freight Distribution to Reduce Greenhouse Gas Emissions: A Review

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Abstract

Freight distribution suffers from inefficiencies which are responsible for a significant part of greenhouse gas emissions. In addition, they have a negative impact on the performance of companies by reducing profits and increasing costs. Among the measures that can be taken to mitigate these effects are cooperation mechanisms. In this work we review optimization models for horizontal collaborative freight transport that include environmental and economic criteria. Specifically, we consider models for planning delivery routes and for cross-docking.

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Expósito-Izquierdo, C., Expósito-Márquez, A., Melián-Batista, B., Moreno-Pérez, J. A., & Moreno-Vega, J. M. (2022). Intelligent Collaborative Freight Distribution to Reduce Greenhouse Gas Emissions: A Review. In Studies in Computational Intelligence (Vol. 1036, pp. 133–142). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97344-5_9

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