Challenges and perspectives in LMD: comparative study and intelligent mobility proposal

TL;DR

This paper reviews current Last Mile Delivery (LMD) challenges, categorizes existing solutions, and proposes an intelligent mobility concept to enhance efficiency and reduce environmental impact in urban logistics.

Contribution

It provides a comprehensive categorization of LMD methods and introduces a novel conceptual proposal for intelligent mobility to address key challenges.

Findings

Existing methods vary by data sources and theoretical frameworks

LMD is the most polluting part of the supply chain

Proposes a new intelligent mobility approach for LMD

Abstract

The Last Mile Delivery (LMD) refers to the last and most inefficient part of the supply chain. This is caused by the spatial distribution of disperse small receiving points, the ever-growing demand for faster shipment and the new time constraints of deliveries. Moreover, the small urban vehicles used for package distribution make LMD the most polluting part of the supply chain. This study describes the existing methods to improve the efficiency of LMD, its challenges and makes a conceptual proposal. The state-of-the-art techniques are categorised according to their data sources, the theoretical framework of the proposed models and the dynamic nature of the solutions.