Results 41 to 50 of about 29,805 (161)
Objective: The growth of e-commerce has transformed last-mile logistics, with direct-to-consumer deliveries and frequent delivery failures. This has exacerbated pollution and congestion issues, negatively impacting urban life.
María Alejandra Maldonado Bonilla +2 more
doaj +1 more source
The Last Mile explores the gaps and dichotomy between drafted policies and their implementation, and the last mile challenges which often make public services inaccessible to the poorest and most vulnerable sections of society. It provides an in-depth overview of the dynamics between communities, research and consultation and the implementation of ...
openaire +4 more sources
Assessing the e-commerce last-mile logistics’ hidden risk hurdles
Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices.
Rohit Raj +4 more
doaj +1 more source
A comparative analysis of last mile delivery in Kenya’s online retail subsector [PDF]
Success in online retailing depends on effective and efficient last mile delivery. Although online retailing in Kenya has considerable potential to ensure sustainable trade and economic growth, progress in this subsector has been inhibited by several ...
Eric Mogire, Peter Kilbourn, Rose Luke
doaj +1 more source
Making last mile logistics models aware of customer choices, demand sustainability and data economy
By 2030, the rise of delivery vehicles in the ten most populated cities worldwide is expected to increase GHG emissions between 21% and 32%. This trend puts pressure on public and private stakeholders to take measures to improve the sustainability of ...
Katharina Beck +6 more
doaj +1 more source
The figure above (click to enlarge) is probably self-explanatory but a few words may be in order.
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Stepping Forward on the Last Mile
Continuously adapting pre-trained models to local data on resource constrained edge devices is the $\emph{last mile}$ for model deployment. However, as models increase in size and depth, backpropagation requires a large amount of memory, which becomes prohibitive for edge devices.
Chen Feng +5 more
openaire +3 more sources
Last-Mile Optimization Using Neural Networks
In the era of extensive data acquisition from manufacturing and transportation processes, the utilization of machine learning and deep learning techniques has emerged as a potent force for informed decision-making and optimized deliveries in contemporary
Eya Kalboussi +2 more
doaj +1 more source
This work aims to provide an overview of the current state of the literature linking Information and Digital Technologies of Industry 4.0 (IDT of I4.0) and last-mile logistics.
Enrique Nahuel Deschutter +3 more
doaj +1 more source

