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.
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