scholarly journals Modeling and Evaluation of a City Logistics System with Freight Buses

2019 ◽  
Author(s):  
Zheng Chang ◽  
Haoxun Chen ◽  
Farouk Yalaoui
Keyword(s):  
City Logistics ◽  
Logistics System

The two-echelon city logistics system with on-street satellites

2020 ◽  
Vol 139 ◽  
pp. 105577 ◽  
Author(s):  
Hongqi Li ◽  
Yinying Liu ◽  
Kaihang Chen ◽  
Qingfeng Lin
Keyword(s):  
City Logistics ◽  
Logistics System

scholarly journals Investigating the implementation of potential strategies for enhancing urban mobility and a city logistics system on the island of Corfu

2014 ◽  
Author(s):  
M. Morfoulaki ◽  
K. Kotoula ◽  
G. Mirovali ◽  
K. Chrysostomou ◽  
A. Stathacopoulos ◽  
...  
Keyword(s):  
City Logistics ◽  
Urban Mobility ◽  
Logistics System

scholarly journals Novel Spherical Fuzzy MARCOS Method for Assessment of Drone-Based City Logistics Concepts

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Milovan Kovač ◽  
Snežana Tadić ◽  
Mladen Krstić ◽  
Mouhamed Bayane Bouraima
Keyword(s):  
Multicriteria Decision Making ◽  
City Logistics ◽  
Rail Transportation ◽  
Logistics System ◽  
Transportation Mode ◽  
Fuzzy Environment ◽  
Final Score ◽  
Delivery Vehicles ◽  
The One ◽  
Definition Of

Technological innovations from the last few years, in the combination with city logistics (CL) initiatives, make the definition of novel, complex, sustainable CL solutions possible. Unmanned aerial vehicles (drones) as a technology attracted lots of attention in the literature. Various researches focused on different drone-based delivery approaches, but there are only a few articles dealing with drones as the elements of complex CL concepts. The goal of this paper is to evaluate different drone-based CL concepts. Based on the existing ideas of drone application in delivery, the main group of CL concepts and their variants are defined, which represents the main contribution of the article. The evaluation and ranking of concepts are performed from the aspect of all CL stakeholders and the defined set of criteria by applying measurement of alternatives and ranking according to compromise solution (MARCOS) multicriteria decision-making (MCDM) method in spherical fuzzy environment, which represents another contribution of the article. The results indicate that the potentially best CL concept, with the final score of 0.408, is the one that refers to the transformation of the logistics system into a two-echelon system with the implementation of micro-consolidation centers (MCCs), in which the delivery of goods to MCCs is realized with rail transportation mode and the last delivery phase with drones. It is followed by the concepts that imply MCCs, and rail transportation in the function of mobile depots for drone launching and MCCs and ground delivery vehicles (GDVs), with the final scores of 0.395 and 0.390, respectively.

scholarly journals A city logistics system for long distance freight transport provisioning

2015 ◽  
Author(s):  
F. Russo ◽  
C. Rindone ◽  
P. D’Agostino ◽  
C. Lanciano ◽  
T. Scattarreggia
Keyword(s):  
Freight Transport ◽  
City Logistics ◽  
Long Distance ◽  
Logistics System

scholarly journals Methods of Goods Delivery to the Historic Core of the City of Šibenik During the Tourist Season

2020 ◽  
Vol 11 (1) ◽  
pp. 88-98
Author(s):  
Darijo Šego ◽  
Martina Ljubić Hinić ◽  
Ana-Mari Poljičak
Keyword(s):  
City Centre ◽  
City Logistics ◽  
Negative Effects ◽  
Logistics System ◽  
Electric Cars ◽  
Urban Freight ◽  
Urban Freight Transport ◽  
Urban Public Transport ◽  
The City

AbstractCity logistics has the goal of optimizing the entire logistics system within the city area and thus positively impact the quality of life. Different measures and initiatives, aimed at the optimisation of city logistics and reduction of the negative effects of urban freight transport are access zones or goods (freight) receiving points in the city centre, restrictions of vehicle dimensions, time schedule of delivery, consolidation strategies, use of urban distribution or consolidation centres, use of electric cars, use of urban public transport and mobility management. In the last couple of years, the city of Šibenik has experienced a tourism boom, which includes the organisation of numerous festivals in the old town core, an increase in the number of visitors, an increase in the number of catering and shopping facilities, private accommodation units, hotels and hostels. The increased number of tourists and commercial establishments also broaches the question of delivery of food and non-food products into the old part of the city, especially during the tourist season.

scholarly journals Mathematical Modelling of the Cost Structure of the Logistics System of Shopping Malls in Budapest

2018 ◽  
Vol 46 (3) ◽  
pp. 142-150
Author(s):  
Krisztián Bóna ◽  
Ádám Róka ◽  
Dávid Lajos Sárdi
Keyword(s):  
Mathematical Modelling ◽  
Point Of View ◽  
Cost Structure ◽  
City Logistics ◽  
Shopping Malls ◽  
Physical Processes ◽  
Logistics System ◽  
The Cost ◽  
The Mathematical Model ◽  
The City

In this paper, we will present the examination of the city logistics system of shopping malls in Budapest. We will introduce the mathematical model of its cost structure which can help us to evaluate this complex system from a financial point of view. The data, we collected earlier, made it possible to simulate the physical processes of the current logistics system and to compare them with innovative new systems as well. However, in case of any new systems it is essential to compare the costs too. The mathematical modelling was based on the observed processes of three shopping malls in Budapest. We added this cost structure to the simulation model to make the simulation of costs possible, so now we have a tool which can help us comprehensively examine the current logistic system of the shopping malls in Budapest as well as a consolidation based proposed solution.

Optimal Learning for Urban Delivery Fleet Allocation

2019 ◽  
Vol 53 (3) ◽  
pp. 623-641 ◽  
Author(s):  
Yixiao Huang ◽  
Lei Zhao ◽  
Warren B. Powell ◽  
Yue Tong ◽  
Ilya O. Ryzhov
Keyword(s):  
Daily Basis ◽  
City Logistics ◽  
Operational Cost ◽  
Distribution Centers ◽  
Logistics System ◽  
Online Appendix ◽  
Managerial Implications ◽  
Delivery Vehicles ◽  
Fleet Allocation ◽  
Learning Policies

In a two-tiered city logistics system, an urban logistics company usually partitions the urban area into regions and allocates its delivery fleet (e.g., vehicles, couriers) to these regions. On a daily basis, the delivery station in each region receives the delivery packages from the city distribution centers and delivers them to customers within the region, using its allocated delivery vehicles. A tactical decision in such a city logistics system is the allocation of its delivery fleet to the regions to minimize the expected operational cost of the entire system. However, because of the complexity of the urban delivery operations and the day-to-day variance of the customer demand, an accurate evaluation of the expected operational cost associated with an allocation decision can be very expensive. We propose a learning policy that adaptively selects the fleet allocation to learn the underlying expected operational cost function by incorporating the value of information. Specifically, we exploit the monotonicity of the expected operational cost in the number of allocated delivery vehicles in a region and extend the idea of knowledge gradient with discrete priors with resampling and regeneration (KGDP-R&R). Our numerical results demonstrate the effectiveness of KGDP-R&R against other learning policies as well as its managerial implications compared with heuristics in practice. The online appendix is available at https://doi.org/10.1287/trsc.2018.0861 .

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