Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2019
Abstract
A green mixed fleet vehicle routing with realistic energy consumption and partial recharges problem (GMFVRP-REC-PR) is addressed in this paper. This problem involves a fixed number of electric vehicles and internal combustion vehicles to serve a set of customers. The realistic energy consumption which depends on several variables is utilized to calculate the electricity consumption of an electric vehicle and fuel consumption of an internal combustion vehicle. Partial recharging policy is included into the problem to represent the real life scenario. The objective of this problem is to minimize the total travelled distance and the total emission produced by internal combustion vehicles. This is a new variant of problem which is developed from a mixed fleet of electric and internal combustion vehicles, full recharging policy, and operational cost minimization. A mixed integer programming model is then developed to address this problem and commercial software is utilized to solve the model.
Keywords
electric vehicles, energy consumption, integer programming, vehicle routing
Discipline
Artificial Intelligence and Robotics | Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Macau, December 15-18: Proceedings
First Page
1339
Last Page
1343
ISBN
9781728138046
Identifier
10.1109/IEEM44572.2019.8978715
Publisher
IEEE
City or Country
Piscataway, NJ
Embargo Period
7-27-2022
Citation
YU, Vincent F.; JODIWAN, Panca; GUNAWAN, Aldy; and WIDJAJA, Audrey Tedja.
A mathematical programming model for the green mixed fleet vehicle routing problem with realistic energy consumption and partial recharges. (2019). 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Macau, December 15-18: Proceedings. 1339-1343.
Available at: https://ink.library.smu.edu.sg/sis_research/7187
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IEEM44572.2019.8978715
Included in
Artificial Intelligence and Robotics Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons