Abstract—In the present study, we construct an improved vehicle routing problem with simultaneous delivery and pick-up model to reduce unnecessary waste and cost in urban cold-chain logistics distribution. This model considers real-time outside temperature during distribution and optimizes the total cost of transportation, cargo damage and refrigeration. The model is solved using a genetic algorithm to determine the distribution path with the optimal cost. Finally, the validity of the model and the effectiveness of the algorithm are numerically tested.
Index Terms—Urban cold-chain logistics, vehicle routing problem, genetic algorithm
Wang Chaofan is with Nanjing University of Science and Technology, Nanjing 210094, China and Fukuoka Institute of Technology, Fukuoka 811-0295, Japan (e-mail: mjm20101@bene.fit.ac.jp).
Song Yu is with Fukuoka Institute of Technology, Fukuoka 811-0295, Japan (e-mail: song@fit.ac.jp).
Cite:Wang Chaofan and Song Yu, "An Optimization Model for Vehicle Routing in Urban Cold-Chain Logistics," International Journal of Modeling and Optimization vol. 12, no. 3, pp. 76-81, 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (cc by 4.0).
Copyright © 2008-2024. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com