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Multi-objective logistics scheduling method and system based on graph theory

A scheduling method and logistics technology, applied in the field of multi-objective logistics scheduling based on graph theory, can solve the problem of single logistics scheduling, achieve the effect of improving the degree of coordination, improving the utilization rate of logistics resources, and overcoming the singleness

Active Publication Date: 2020-04-21
SOUTH CHINA NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0003] Based on this, in order to solve the above single problem of logistics scheduling, a more flexible logistics scheduling method and system is proposed

Method used

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  • Multi-objective logistics scheduling method and system based on graph theory
  • Multi-objective logistics scheduling method and system based on graph theory
  • Multi-objective logistics scheduling method and system based on graph theory

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] like figure 1 As shown, in one embodiment, a kind of logistics dispatching method is proposed, and the method comprises:

[0028] Step 102, obtaining logistics resource information, and establishing a logistics route map according to the logistics resource information.

[0029] Specifically, the so-called graph theory takes graphs as the research object. A graph in graph theory is a graph composed of a number of given points and lines connecting two points. This graph is usually used to describe a certain relationship between certain things. A specific relationship is represented by a poin...

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Abstract

The present invention proposes a logistics dispatching method, by obtaining logistics resource information, establishing a logistics path diagram according to the logistics resource information; obtaining logistics demand information and user constraints on the logistics demand information; in the logistics path diagram Determining a logistics route that matches the logistics demand information and the constraints; dispatching the logistics resources corresponding to the logistics route to the corresponding logistics demand. This logistics scheduling method can not only meet the logistics needs but also meet the constraints of users on logistics needs, overcome the singleness of traditional logistics scheduling, and at the same time greatly improve the coordination of logistics resources of different logistics companies and improve the utilization of logistics resources. Rate. In addition, the invention also proposes a logistics scheduling system.

Description

technical field [0001] The invention relates to the technical field of logistics scheduling, in particular to a multi-objective logistics scheduling method and system based on graph theory. Background technique [0002] With the rapid development of logistics technology, users have higher and higher requirements for logistics. Logistics scheduling is one of the most important contents of logistics technology. In the traditional logistics scheduling technology, most logistics companies can only schedule logistics resources according to logistics demand. When resources are scheduled, there is only one goal of logistics scheduling at this time, which is to meet the logistics needs. But in fact, users often have more requirements for logistics scheduling, such as cost constraints and time constraints. Therefore, the traditional logistics scheduling technology has the problem of single scheduling, which cannot meet the multi-dimensional requirements of users for logistics. C...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16Z99/00G06Q10/08
CPCG06Q10/083G06Q10/08
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY
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