Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2013
Abstract
Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactical planning with regards to vehicle resource allocation from distribution centers to customer locations in a multi-echelon logistics network. We formulate the bi-objective optimization problem exactly and design a memetic algorithm to efficiently derive an approximate Pareto front. We illustrate the applicability of our approach with a large realworld dataset.
Discipline
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Publication
International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, 3-9 August 2013
First Page
2833
Last Page
2839
ISBN
9781577356332
Publisher
AAAI Press
City or Country
Palo Alto, CA
Citation
LAU, Hoong Chuin; AGUSSURJA, Lucas; CHENG, Shih-Fen; and TAN, Pang Jin.
A Multi-objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning. (2013). International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, 3-9 August 2013. 2833-2839.
Available at: https://ink.library.smu.edu.sg/sis_research/1814
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6814
Included in
Artificial Intelligence and Robotics Commons, Business Commons, Operations Research, Systems Engineering and Industrial Engineering Commons