Document Type
Article
Publication Date
2022
DOI
10.1155/2022/3927268
Publication Title
Journal of Advanced Transportation
Volume
2022
Pages
3927268 (1-9)
Abstract
With the growth in global trade and its environmental footprint, sustainable modes of freight movement are increasingly important in today’s globalized world. This study focuses on on-dock rail, where the rail terminal is located within the marine container terminal. On-dock rail has in recent years become an essential mode of transportation to move containers out of congested marine container terminals. This study contributes to the literature by presenting tailored exact solution algorithms for a recently proposed optimization model to optimize the loading of double-stack trains. In particular, a 3-stage solution framework is presented for the case when rail cars have a single well. A complementary solution algorithm for the case when a rail car has multiple wells is also provided. Our results show that computational times can be drastically reduced, from 2+ hours to a matter of seconds, rendering the model suitable for practical use.
Original Publication Citation
Ng, M., & Lin, D.-Y. (2022). Exact algorithms for practical instances of the railcar loading problem at marine container terminals. Journal of Advanced Transportation, 2022, 1-9, Article 3927268. https://doi.org/10.1155/2022/3927268
Repository Citation
Ng, ManWo and Lin, Dung-Ying, "Exact Algorithms for Practical Instances of the Railcar Loading Problem at Marine Container Terminals" (2022). Information Technology & Decision Sciences Faculty Publications. 67.
https://digitalcommons.odu.edu/itds_facpubs/67
Included in
Infrastructure Commons, Operational Research Commons, Operations and Supply Chain Management Commons, Transportation Commons, Transportation Engineering Commons
Comments
© 2022 ManWo Ng and Dung-Ying Lin.
This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.