scholarly journals An ex-ante evaluation of last-mile freight distribution services for city logistics

2015 ◽  
Author(s):  
L. Amodeo ◽  
D. Lamari ◽  
G. Musolino ◽  
V. Placido ◽  
A. Polimeni ◽  
...  
2021 ◽  
Vol 131 ◽  
pp. 105248
Author(s):  
Emrah Demir ◽  
Daniel Eyers ◽  
Yuan Huang
Keyword(s):  

2020 ◽  
pp. 097215091988979 ◽  
Author(s):  
Dhirendra Prajapati ◽  
Arjun R Harish ◽  
Yash Daultani ◽  
Harpreet Singh ◽  
Saurabh Pratap

This study considers the fresh food city logistics that involves the last-mile distribution of commodities to the customer locations from the local distribution centres (LDCs) established by the e-commerce firms. In this scenario, the last-mile logistics is crucial for its speed of response and the effectiveness in distribution of packages to the target destinations. We propose a clustering-based routing heuristic (CRH) to manage the vehicle routing for the last-mile logistic operations of fresh food in e-commerce. CRH is a clustering algorithm that performs repetitive clustering of demand nodes until the nodes within each cluster become serviceable by a single vehicle. The computational complexity of the algorithm is reduced due to the downsizing of the network through clustering and, hence, produces an optimum feasible solution in less computational time. The algorithm performance was analysed using various operating scenarios and satisfactory results were obtained.


2021 ◽  
Vol 35 (07-08) ◽  
pp. 43-45
Author(s):  
Rebecca Vlassakidis

Für Kurier-, Express- und Paket-Dienstleister könnten es goldene Zeiten sein: Dank des boomenden Online-Business steigt das Volumen an bestellten Waren in etlichen Märkten enorm. So wurden laut dem Bundesverband Paket und Expresslogistik (BIEK) 2018 in Deutschland insgesamt 3,5 Milliarden Warensendungen an Unternehmen und Endverbraucher ausgeliefert. Das ist ein neuer Rekord und entspricht einem Zuwachs von über 50 Prozent seit dem Jahr 2000.


2018 ◽  
Vol 12 (4) ◽  
pp. 262-269 ◽  
Author(s):  
Guido Perboli ◽  
Mariangela Rosano ◽  
Michael Saint-Guillain ◽  
Pietro Rizzo

2019 ◽  
Vol 34 (4) ◽  
pp. 533
Author(s):  
Aishwary Bhasker ◽  
S.P. Sarmah ◽  
Taebok Kim

2021 ◽  
Author(s):  
Kristijan Perčič ◽  
Branka Leskovšek

Nowadays, it is impossible to bypass the fact that digitization, robotics and automation of work are becoming an increasingly important part of our living and business. It becomes crucial, especially in urban areas, to identify new operational models that could be applied for last mile deliveries, where increasing of city logistics sustainability is being the main goal. Drones have been widely acknowledged as a promising technology in many fields and industries, especially for the delivery of medical and aid packages in humanitarian and healthcare logistics. In this study, we present the project of Post of Slovenia, which aimed to implement first delivery drone to the fleet to access hard-to-access locations. Slovenian Post aims to create innovative, cost-efficient and market-led business environment for the development and take-up of new drone services and technologies within the Slovenian’s internal market. As the national legislation in this area is still relatively unregulated, Post of Slovenia has actively contacted with the national authorities, which are the drafters of the relevant legislation, in order to accelerate the introduction of delivery drones into Slovenian airspace.


Author(s):  
Taebok Kim ◽  
Aishwary Bhasker ◽  
S.P. Sarmah

2020 ◽  
Vol 12 (18) ◽  
pp. 7500
Author(s):  
Tomislav Letnik ◽  
Matej Mencinger ◽  
Iztok Peruš

Urban freight deliveries are often subject to many access restrictions which creates the need to establish a system of loading bays and to split the last mile delivery into driving and walking parts. A new model based on hard and soft clustering approach is developed to solve the loading bay assignment problem for efficient vehicle routing and walking in last mile delivery. The flexibility of the model is provided by the soft clustering approach based on different membership degrees of customers to loading bays. Especially for instances with large numbers of loading bays, soft clustering seems to give better results, it leads to higher flexibility of city logistics systems, minimal driving distances, and adequately short walking paths, which contribute to the goal of reaching sustainable urban freight deliveries.


Author(s):  
Abdelhadi Belfadel ◽  
Sebastian Horl ◽  
Rodrigo Javier Tapia ◽  
Jakob Puchinger

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