Minimizing Carbon Emissions for Vehicle Routing and Scheduling in Picking up and Delivering Customers to Airport Service

2014 ◽  
Vol 39 (4) ◽  
pp. 424-432 ◽  
Author(s):  
Pei-Ying YANG ◽  
Jia-Fu TANG ◽  
Yang YU ◽  
Jin-Xiang PEI
Keyword(s):  
Vehicle Routing ◽  
Carbon Emissions ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling

scholarly journals Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center under Green Shipbuilding Mode

2019 ◽  
Vol 11 (15) ◽  
pp. 4248 ◽  
Author(s):  
Jinghua Li ◽  
Hui Guo ◽  
Qinghua Zhou ◽  
Boxin Yang
Keyword(s):  
Vehicle Routing ◽  
Carbon Emissions ◽  
Water Drop ◽  
Time Windows ◽  
Mixed Integer ◽  
Distribution Centers ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling ◽  
Distribution Process ◽  
The Cost

Timeliness of steel distribution centers can effectively ensure the smooth progress of ship construction, but the carbon emissions of vehicles in the distribution process are also a major source of pollution. Therefore, when considering the common cost of vehicle distribution, taking the carbon emissions of vehicles into account, this paper establishes a Mixed Integer Linear Programming (MILP) model called green vehicle routing and scheduling problem with simultaneous pickups and deliveries and time windows (GVRSP-SPDTW). An intelligent water drop algorithm is designed and improved, and compared with the genetic algorithm and traditional intelligent water drop algorithm. The applicability of the improved intelligent water drop algorithm is proven. Finally, it is applied to a specific example to prove that the improved intelligent water drop algorithm can effectively reduce the cost of such problems, thereby reducing the carbon emissions of vehicles in the distribution process, achieving the goals of reducing environmental pollution and green shipbuilding.

scholarly journals Green Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center Based on Improved Intelligent Water Drop Algorithms

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Gang Chen ◽  
Xiaoyuan Wu ◽  
Jinghua Li ◽  
Hui Guo
Keyword(s):  
Vehicle Routing ◽  
Carbon Emissions ◽  
Water Drop ◽  
Time Windows ◽  
Distribution Center ◽  
Problem Model ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling ◽  
Distribution Process ◽  
The Cost

The timeliness of the steel distribution center process contributes to the smooth progress of ship construction. However, carbon emissions from vehicles in the distribution process are a major source of pollution. Reasonable vehicle routing and scheduling can effectively reduce the carbon emissions of vehicles and ensure the timeliness of distribution. To solve this problem, a green vehicle routing and scheduling problem model with soft time windows was proposed in this study. An intelligent water drop algorithm was designed and improved and then compared with the genetic algorithm and the traditional intelligent water drop algorithm. The applicability of the improved intelligent water drop algorithm was demonstrated. Finally, this algorithm was applied to a specific example to demonstrate that the improved intelligent water drop algorithm effectively reduced the cost of such green vehicle problems, thus reducing the carbon emissions of vehicles during the distribution process and achieving reductions in environmental pollution. Ultimately, this algorithm facilitates the achievement of green shipbuilding.

Online vehicle routing and scheduling with dynamic travel times

2011 ◽  
Vol 38 (7) ◽  
pp. 1086-1090 ◽  
Author(s):  
Sandro Lorini ◽  
Jean-Yves Potvin ◽  
Nicolas Zufferey
Keyword(s):  
Vehicle Routing ◽  
Travel Times ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling

Vehicle routing and scheduling in cross docks with forward and reverse logistics

2018 ◽  
Vol 20 (3) ◽  
pp. 1589-1622 ◽  
Author(s):  
Yaser Kaboudani ◽  
Seyyed Hassan Ghodsypour ◽  
Hamidreza Kia ◽  
Amin Shahmardan
Keyword(s):  
Vehicle Routing ◽  
Reverse Logistics ◽  
Vehicle Routing And Scheduling ◽  
Routing And Scheduling
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