scholarly journals Conventional, Hybrid, or Electric Vehicles: Which Technology for an Urban Distribution Centre?

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Philippe Lebeau ◽  
Cedric De Cauwer ◽  
Joeri Van Mierlo ◽  
Cathy Macharis ◽  
Wouter Verbeke ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Research Question ◽  
Time Windows ◽  
Transport Sector ◽  
Vehicle Class ◽  
Routing Problem ◽  
Fleet Size ◽  
Distribution Centre ◽  
Reducing Costs

Freight transport has an important impact on urban welfare. It is estimated to be responsible for 25% of CO2emissions and up to 50% of particles matters generated by the transport sector in cities. Facing that problem, the European Commission set the objective of reaching free CO2city logistics by 2030 in major urban areas. In order to achieve this goal, electric vehicles could be an important part of the solution. However, this technology still faces a number of barriers, in particular high purchase costs and limited driving range. This paper explores the possible integration of electric vehicles in urban logistics operations. In order to answer this research question, the authors have developed a fleet size and mix vehicle routing problem with time windows for electric vehicles. In particular, an energy consumption model is integrated in order to consider variable range of electric vehicles. Based on generated instances, the authors analyse different sets of vehicles in terms of vehicle class (quadricycles, small vans, large vans, and trucks) and vehicle technology (petrol, hybrid, diesel, and electric vehicles). Results show that a fleet with different technologies has the opportunity of reducing costs of the last mile.

A well-scalable metaheuristic for the fleet size and mix vehicle routing problem with time windows

2009 ◽  
Vol 36 (4) ◽  
pp. 8460-8475 ◽  
Author(s):  
Olli Bräysy ◽  
Pasi P. Porkka ◽  
Wout Dullaert ◽  
Panagiotis P. Repoussis ◽  
Christos D. Tarantilis
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Routing Problem ◽  
Fleet Size ◽  
Fleet Size And Mix

scholarly journals PENERAPAN SIMULASI DAN RELIABILITAS PADA MODEL VEHICLE ROUTING PROBLEM (VRP) DENGAN PERMINTAAN PROBABILISTIK

2018 ◽  
Vol 9 (1) ◽  
pp. 189-204
Author(s):  
Ary Arvianto ◽  
Rizal Luthfi Nartadhi ◽  
Diana Puspita Sari ◽  
Wiwik Budiawan
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Multiple Time ◽  
Routing Problem ◽  
Fleet Size ◽  
Split Delivery ◽  
Multiple Product ◽  
Multiple Time Windows ◽  
Fleet Size And Mix

Vehicle Routing Problem (VRP) memiliki aplikasi yang penting di bidang manajemen distribusi, sehingga  menjadi  salah  satu  contoh  masalah  yang  banyak  dipelajari  dalam  literatur  optimasi kombinatorial dan diakui sebagai salah satu pengalaman tersukses dalam riset operasi. Dalam penelitian ini dilakukan simulasi dari penelitian [1] dengan memperhatikan varian VRP homogeneous fleet  size and mix vehicle routing, multiple trips, multiple product and compartements, split delivery, dan multiple time windows dan permintaan tidak pasti (Probabilistic Demand). Hasil yang didapatkan bahwa model yang dibuat telah mampu merepresentasikan penelitian sebelumnya [1] dengan verifikasi hasil   yang sama. Permintaan tidak pasti   ditunjukkan dengan melakukan pengurangan kapasitas sebesar 5%   dan 10% dengan hasil bahwa  dengan mengurangi  kapasitas sebesar 5% terjadi permintaan pelanggan yang tidak tercukupi di beberapa pos, sedangkan pada 10% semua   permintaan dapat tercukupi. Namun dari segi biaya pada nilai 10% memiliki biaya yang lebih tinggi daripada 5%   hal ini dikarenakan rute   yang dihasilkan lebih banyak sehingga mengakibatkan penggunaan kapal lebih banyak dilakukan.

scholarly journals Urban Transportation Network Design for Fresh Fruit and Vegetables Using GIS–The Case of Bangkok

2019 ◽  
Vol 9 (23) ◽  
pp. 5048 ◽  
Author(s):  
Suraraksa ◽  
Shin
Keyword(s):  
Urban Areas ◽  
Transportation Network ◽  
Time Windows ◽  
Operating Cost ◽  
Distribution Networks ◽  
Cold Chain ◽  
Problem Analysis ◽  
Distribution Centers ◽  
Routing Problem ◽  
Fresh Products

A cold chain for perishable fresh products aims to preserve the quality of the products under the control of a predefined temperature range. To satisfy the delivery conditions within appropriate time windows, the most critical operations in cold chain management is the transportation and distribution of fresh products. Due to rapid population growth and increasing demand for high-quality fresh foods, it becomes critical to develop advanced transportation and distribution networks for fresh products, particularly in urban areas. This research aims to design different scenarios based on mathematical models for fresh products transportation and distribution network in the Bangkok metropolitan area using Geographic Information system (GIS). The proposed methodology integrates location–allocation and vehicle routing problem analysis. The performance of all possible scenarios is evaluated and compared by considering the number of required distribution centers and trucks, total travel time, total travel distance, as well as fairness among drivers. The results of the scenario analysis highlight that the alternative scenarios show a better performance as compared to the current network. In addition, the administrator can make a different decision among several alternatives by considering different aspects, such as investment cost, operating cost, and balance of using available resources. Therefore, it may help a public officer to design the fresh products logistics network considering actual demand and traffic conditions in Bangkok.

scholarly journals Mathematical Formulation and Comparison of Solution Approaches for the Vehicle Routing Problem with Access Time Windows

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Rafael Grosso ◽  
Jesús Muñuzuri ◽  
Alejandro Escudero-Santana ◽  
Elena Barbadilla-Martín
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Urban Areas ◽  
Time Windows ◽  
Mathematical Formulation ◽  
Access Time ◽  
Routing Problem ◽  
Urban Freight ◽  
Additional Costs ◽  
Problem Instances

The application of the principles of sustainability to the implementation of urban freight policies requires the estimation of all the costs and externalities involved. We focus here on the case of access time windows, which ban the access of freight vehicles to central urban areas in many European cities. Even though this measure seeks to reduce congestion and emissions in the most crowded periods of the day, it also imposes additional costs for carriers and results in higher emissions and energy consumption. We present here a mathematical model for the Vehicle Routing Problem with Access Time Windows, a variant of the VRP suitable for planning delivery routes in a city subject to this type of accessibility restriction. We use the model to find exact solutions to small problem instances based on a case study and then compare the performance over larger instances of a modified savings algorithm, a genetic algorithm, and a tabu search procedure, with the results showing no clear prevalence of any of them, but confirming the significance of those additional costs and externalities.

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