Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2023
Abstract
Waste from electrical and electronic equipment (WEEE) or e-waste describes end-of-life electronic products that are discarded. Due to their toxic and negative impacts to humans' health, many publications have been proposed to handle, however, studies related to e-waste collection and transportation to waste disposal sites are not widely studied so far. This study proposes a mixed integer linear programming (MILP) model to solve the e-waste collecting problem by formulating it as the heterogeneous vehicle routing problem with multiple time windows (HVRPMTW). The model is validated with newly developed benchmark instances that are solved by commercial software, CPLEX. The model is also adopted for solving a real case study in the context of Singapore. The results show that the proposed mathematical model is a good start for formulating and solving the problem with reasonable problem sizes. From a managerial perspective, this offers significant practical improvements.
Keywords
Electronic equipment, Costs, Vehicle routing, Transportation, Electronic waste, Benchmark testing, Mathematical models
Discipline
Operations Research, Systems Engineering and Industrial Engineering | Robotics
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, August 26-30
First Page
1
Last Page
6
ISBN
979-835032069-5
Identifier
10.1109/CASE56687.2023.10260477
Publisher
IEEE
City or Country
Auckland
Citation
GUNAWAN, Aldy; NGUYEN, Minh P.K; YU, Vincent F.; and NGUYEN, Dang Viet Anh.
The heterogeneous vehicle routing problem with multiple time windows for the e-waste collection problem. (2023). Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, August 26-30. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/8315
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/CASE56687.2023.10260477
Included in
Operations Research, Systems Engineering and Industrial Engineering Commons, Robotics Commons