Abstract
Optimization of delivery routes is a key method to reduce delivery costs. If scientific and reasonable methods are adopted to arrange delivery routes, it can reduce delivery costs, increase enterprise profits, and increase vehicle loading, achieving the goal of stable growth for enterprises. In this paper, the logistics distribution in the same city under the condition of fuzzy demand is taken as the research object, and the vehicle load, customer demand, customer service time and other constraints are taken as the constraints. The Simulated annealing algorithm is used to solve the model, and a reasonable and satisfactory optimization scheme is obtained. By comparing the solutions before and after optimization, it is confirmed that the optimization model can effectively solve the logistics distribution problem under fuzzy demand.
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