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Logistics intelligent distribution vehicle scheduling method based on big data analysis

A technology of distribution vehicles and dispatching methods, applied in logistics, data processing applications, instruments, etc., can solve the problems of unreasonable dispatching route arrangement, low dispatching intelligence level, waste of transportation resources, etc., to reduce logistics distribution costs and improve intelligence Scheduling, the effect of improving scheduling efficiency

Active Publication Date: 2021-02-05
山东卓硕北斗网络科技有限公司
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AI Technical Summary

Problems solved by technology

At present, the intelligent level of logistics distribution vehicle dispatching at express delivery points is low, and there are problems such as unreasonable dispatching route arrangement and serious waste of transportation resources. The lack of perfect logistics distribution vehicle dispatching method is one of the important factors causing this problem. In order to solve the above problems , the present invention proposes a logistics intelligent distribution vehicle scheduling method based on big data analysis

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  • Logistics intelligent distribution vehicle scheduling method based on big data analysis

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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 protection scope of the present invention.

[0031] refer to figure 1 As shown, a logistics intelligent distribution vehicle scheduling method based on big data analysis includes the following steps:

[0032] S1. Statistics on the number of express points in the area and location labels: count the number of express points in the area, and number the counted express points according to the preset order, and mark them as 1,2...i...n in turn, and at the same time Obtain the geographical location of each co...

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Abstract

The invention discloses a logistics intelligent distribution vehicle scheduling method based on big data analysis, and the method comprises the steps: carrying out the statistics of the number of express delivery points in a region, the express arrival number of each express delivery point in a preset time period and a set distribution duration, and carrying out the statistics of the total distribution amount of each express delivery point in the set distribution duration; comparing the total distribution amount with the express arrival number of each express delivery point in a preset time period, and further constructing a vehicle remaining express delivery point set and an express arrival number remaining express delivery point set; therefore, for each express arrival number remaining express point in the express arrival number remaining express point set, screening the corresponding vehicle remaining express points from the vehicle remaining express point set according to the principle of nearby scheduling to perform distribution vehicle scheduling. Intelligent complete scheduling of logistics distribution vehicles is achieved. According to the method, the defects existing in current express point logistics distribution vehicle scheduling are overcome, the distribution vehicle scheduling efficiency is improved, the logistics distribution cost is effectively reduced, and theservice quality of logistics distribution enterprises is improved.

Description

technical field [0001] The invention belongs to the technical field of logistics distribution vehicle scheduling, and in particular relates to a logistics intelligent distribution vehicle scheduling method based on big data analysis. Background technique [0002] With the development of the market economy and the improvement of the professional level of logistics, the logistics distribution industry has developed rapidly. In the logistics distribution business, when the amount of courier delivery that needs to be delivered by a certain courier point is far greater than the amount that the existing delivery vehicles of the courier point can bear, then it is necessary to dispatch vehicle scheduling, and the distribution vehicle scheduling problem involves a wide range of issues. There are many factors to consider. Effective scheduling of distribution vehicles can not only speed up the response to customer needs, improve service quality, but also reduce the operating costs of ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/06311G06Q10/083G06Q10/08355
Inventor 刘金枝罗海敏
Owner 山东卓硕北斗网络科技有限公司
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