Paper Info
Title
A Hybrid Tabu Search Algorithm for a Real-World Open Vehicle Routing Problem Involving Fuel Consumption Constraints.
Abstract
Outsourcing logistics operation to third-party logistics has attracted more attention in the past several years. However, very few papers analyzed fuel consumption model in the context of outsourcing logistics. This problem involves more complexity than traditional open vehicle routing problem (OVRP), because the calculation of fuel emissions depends on many factors, such as the speed of vehicles, the road angle, the total load, the engine friction, and the engine displacement. Our paper proposed a green open vehicle routing problem (GOVRP) model with fuel consumption constraints for outsourcing logistics operations. Moreover, a hybrid tabu search algorithm was presented to deal with this problem. Experiments were conducted on instances based on realistic road data of Beijing, China, considering that outsourcing logistics plays an increasingly important role in China's freight transportation. Open routes were compared with closed routes through statistical analysis of the cost components. Compared with closed routes, open routes reduce the total cost by 18.5% with the fuel emissions cost down by nearly 29.1% and the diver cost down by 13.8%. The effect of different vehicle types was also studied. Over all the 60- and 120-node instances, the mean total cost by using the light-duty vehicles is the lowest.
Year
DOI
Venue
2018
10.1155/2018/5754908
COMPLEXITY
Field
DocType
Volume
Vehicle routing problem,Outsourcing,Algorithm,Fuel efficiency,Total cost,Mathematics,Engine displacement,Tabu search,Beijing,Statistical analysis
Journal
2018
ISSN
Citations 
PageRank 
1076-2787
1
0.35
References 
Authors
16
4
Name
Order
Citations
PageRank
Yunyun Niu1151.26
Zehua Yang210.35
Ping Chen32912.75
Jianhua Xiao48910.88