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Multi-distribution-center logistics transportation scheduling method and system

A distribution center and multi-distribution technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as easy to fall into local optimal solutions

Active Publication Date: 2016-12-07
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

The PSO algorithm, like other algorithms, is prone to fall into a local optimal solution

Method used

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  • Multi-distribution-center logistics transportation scheduling method and system
  • Multi-distribution-center logistics transportation scheduling method and system
  • Multi-distribution-center logistics transportation scheduling method and system

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Embodiment Construction

[0070] The core of the present invention is to provide a method and system for multi-distribution center logistics transportation scheduling, which can improve the convergence speed and convergence accuracy when planning the route, that is, has a strong optimization ability, and takes less time to obtain the optimal logistics distribution route. programs to meet customer needs.

[0071] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protec...

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Abstract

The invention discloses a multi-distribution-center logistics transportation scheduling method, and the method comprises the steps: obtaining the basic parameters of a multi-distribution-center logistics transportation scheduling problem, wherein the basic parameters comprises coordinates of logistics distribution centers, coordinates of customers, the number of distribution centers, the number of vehicles, the maximum traveling distances of vehicles, and the distribution start time of the vehicles; solving a mathematic model of the multi-distribution-center logistics transportation scheduling problem according to the basic parameters through employing an adaptive inertia weight parallel particle swarm optimization algorithm, and outputting an optimal logistics distribution path scheme. When the method is used for path planning, the method improves the convergence speed and precision, obtains an optimal logistics distribution path scheme, and meets the demands of customers. The invention also discloses a multi-distribution-center logistics transportation scheduling system, and the system has the above beneficial effects.

Description

technical field [0001] The invention relates to the field of artificial intelligence logistics path planning and control, in particular to a method and system for logistics transportation scheduling of multiple distribution centers. Background technique [0002] In real life, the optimal scheduling of logistics transportation is one of the key links in logistics, and the multi-depot logistics distribution model based on cloud computing has a strong application background and a broad market in real life. The multi-distribution center model means that the logistics company provides logistics and distribution services to multiple customers after planning the route, and each parking lot is distributed in different geographical locations, which can solve the problem that a single distribution center cannot serve long-distance customers in a short period of time. Problems can be provided to users with better, more convenient and more efficient services. Therefore, it is necessary...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/28
CPCG06Q10/047G06Q10/08
Inventor 蔡延光马骏蔡颢戚远航
Owner GUANGDONG UNIV OF TECH
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