Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
4-2020
Abstract
Reverse logistics has been implemented by various companies because of its ability to gain more profit and maintain the competitiveness of the company. However, extensive studies on the vehicle routing problem with cross-docking (VRPCD) only considered the forward flow instead of the reverse flow. Motivated by the ability of a VRPCD network to minimize the distribution cost in the forward flow, this research incorporates the reverse logistics scheme in a VRPCD network, namely the VRP with reverse cross-docking (VRP-RCD). We propose a VRP-RCD mathematical model for a four-level supply chain network that involves suppliers, cross-dock, customers, and outlets. The main objective is to minimize vehicle operational and transportation costs. Experimental results show that only small instances of newly generated VRP-RCD instances can be optimally solved by CPLEX. Furthermore, we present sensitivity analysis towards the cost structure.
Keywords
Vehicle routing problem, Cross-docking, Reverse logistics
Discipline
Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA): Bangkok, Thailand, April 16-21: Proceedings
First Page
854
Last Page
858
ISBN
9781728167855
Identifier
10.1109/ICIEA49774.2020.9101972
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
WIDJAJA, Audrey Tedja; GUNAWAN, Aldy; JODIAWAN, Panca; and YU, Vincent F..
Incorporating a reverse logistics scheme in a vehicle routing problem with cross-docking network: A modelling approach. (2020). 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA): Bangkok, Thailand, April 16-21: Proceedings. 854-858.
Available at: https://ink.library.smu.edu.sg/sis_research/5266
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/ICIEA49774.2020.9101972
Included in
Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons