An Optimization Model for Vehicle Routing in Urban Cold-Chain Logistics

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.