Logistics distribution path planning method and device

Abstract

The invention discloses a logistics distribution path planning method and a logistics distribution path planning device, which take the positions of distribution network points as input, take the shortest path as the target, take the allowed access network point set as the limit, and adopt the ant colony algorithm to solve the optimal distribution path among the network points, so that the distribution time and the distribution mileage are reduced, the distribution efficiency is improved, the distribution cost is reduced, and the logistics speed is accelerated. Goods can be timely and quickly delivered to customers, customer satisfaction is improved, optimal path display is realized by using Python, transportation irrationality and low efficiency caused by artificial experience judgment are reduced, and the technical problems of low efficiency, proneness to misjudgment and high manual intervention cost due to the fact that an existing delivery path depends on artificial experience judgment are solved.

Description

technical field [0001] The invention belongs to the technical field of logistics, and in particular relates to a logistics distribution path planning method and device. Background technique [0002] With the rapid development of economic globalization and e-commerce, the logistics industry, as an important service industry in the national economy, is developing rapidly around the world, and has gradually become the basic industry and development artery of the national economy. Its development level has become a measure of a country's An important symbol of the degree of modernization and comprehensive national strength, this new economic growth point has gradually attracted widespread attention as a favorable pillar of social development. [0003] Modern logistics is the third important source of profit for enterprises to reduce material consumption and increase productivity. It is also an important way for enterprises to reduce production and operation costs and improve mar...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a logistics distribution path planning method and device. After receiving the order and carrying out the initial distribution of outlets, ant colony algorithm is used to form the optimal distribution path between outlets, reducing unreasonable detours and improving logistics transportation efficiency. Increase vehicle utilization, save logistics and transportation costs, and solve the technical problems of low efficiency, prone to misjudgment, and high cost of manual intervention in existing distribution routes that rely on manual experience to judge

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