Vehicle logistics scheduling method and device, storage medium, terminal

Abstract

A whole vehicle logistics scheduling method and device based on ant colony algorithm and hierarchical optimization, storage medium and terminal, the method includes: obtaining whole vehicle logisticsdata; external iteration, the process of external iteration includes: based on the vehicle logistics data to obtain M candidate allocation schemes that meet the preset constraints; during the transferof each ant in the ant colony, the ants with the largest target vector are selected from the ant colony. When the transfer state of the ant colony satisfies the preset termination condition, the allocation scheme corresponding to the ant with the largest target vector selected during the last transfer is determined as the candidate optimal scheduling scheme of this outer iteration. After the outer iteration is performed for all the targets included in the preset target set, the candidate optimal scheduling scheme determined by the last outer iteration is taken as the optimal scheduling scheme. The scheme provided by the invention can realize the automatic dispatching of the whole vehicle logistics, is conducive to realizing the optimal dispatching, and reduces the dynamic dispatching costof the freight car as a whole.

Description

technical field [0001] The present invention relates to the technical field of automobile logistics, in particular to a vehicle logistics scheduling method and device, a storage medium, and a terminal. Background technique [0002] Complete vehicle logistics refers to a series of activities and processes in which complete vehicles are transported from OEMs, distribution sites, and dealers to end customers. Vehicle logistics scheduling needs to solve a series of problems such as logistics route planning, loading and vehicle scheduling. [0003] The factors involved in the existing vehicle logistics scheduling are relatively complex, with many constraints and multiple and mutually restrictive objectives, including OEMs and their warehouses, logistics companies and their transit warehouses, carriers and their contract drivers, dealers and their warehouses, etc. In many aspects, it is a multi-objective optimization problem in general. [0004] However, most logistics companies ...

AI Technical Summary

Problems solved by technology

Such a vehicle logistics scheduling method has many disadvantages, such as few variables to consider, non-optimal scheduling plan, low utilization rate of transportation resources, and slow order response speed, which cannot meet the expectations of automakers and customers.

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