scholarly journals A Comparison of Homogeneous and Heterogeneous Vehicle Fleet Size in Green Vehicle Routing Problem

2014 ◽  
pp. 450-457 ◽  
Author(s):  
Abdelhamid Moutaoukil ◽  
Gilles Neubert ◽  
Ridha Derrouiche
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Routing Problem ◽  
Fleet Size ◽  
Vehicle Fleet

Valid inequalities for the fleet size and mix vehicle routing problem with fixed costs

Networks ◽  
2009 ◽  
Vol 54 (4) ◽  
pp. 178-189 ◽  
Author(s):  
Roberto Baldacci ◽  
Maria Battarra ◽  
Daniele Vigo
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Valid Inequalities ◽  
Fixed Costs ◽  
Routing Problem ◽  
Fleet Size ◽  
Fleet Size And Mix

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 A Simulated Annealing Heuristic For The Green Vehicle Routing Problem

2015 ◽  
Vol 1 (2) ◽  
pp. 17-21
Author(s):  
Moch Yasin ◽  
Vincent F. Yu
Keyword(s):  
Simulated Annealing ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Alternative Fuel ◽  
The United States ◽  
Routing Problem ◽  
Transportation Sector ◽  
Alternative Fuel Vehicle ◽  
Driving Range ◽  
Vehicle Fleet

Nowadays, the encouragement of the use of green vehicle is greater than it previously has ever been. In the United States, transportation sector is responsible for 28% of national greenhouse gas emissions in 2009. Therefore, there have been many studies devoted to the green supply chain management including the green vehicle routing problem (GVRP). GVRP plays a very important role in helping organizations with alternative fuel-powered vehicle fleets overcome obstacles resulted from limited vehicle driving range in conjunction with limited fuel infrastructure. The objective of GVRP is to minimize total distance traveled by the alternative fuel vehicle fleet. This study develops a mathematical model and a simulated annealing (SA) heuristic for the GVRP. Computational results indicate that the SA heuristic is capable of obtaining good GVRP solutions within a reasonable amount of time.

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.

Sign in / Sign up

Export Citation Format

Share Document