Site selection and transportation optimization method for super large-scale logistics distribution

A logistics distribution, super-large-scale technology, applied in complex mathematical operations, instruments, data processing applications, etc., can solve problems such as inability to effectively cope with computing pressure

Active Publication Date: 2016-09-28
周伟华
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Problems solved by technology

[0006] The purpose of the present invention is to provide a site selection and transportation optimization method for ultra-large-scale logistics distribution to solve the distribution system with tens of thousands of distribution points, or even hundreds of thousands of distribution points in the prior art. It has been unable to effectively deal with the huge computing pressure brought about by the growth of distribution scale

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  • Site selection and transportation optimization method for super large-scale logistics distribution

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Embodiment Construction

[0053] Preferred embodiments of the present invention will be described in detail below.

[0054] This embodiment provides a site selection and transportation optimization method for ultra-large-scale logistics distribution, including the following steps:

[0055] Step 1: Clustering, use the bottom-up clustering method to obtain the initial clustering results, use the kernels of the first x clusters in the initial clustering results as the initial kernels of the directly assigned clustering method, and then apply the direct The assigned clustering method is calculated;

[0056] Step 2: Site selection planning, given that the number of distribution centers is p, the optimal site selection plan is calculated with the goal of minimizing the total cost;

[0057] Step 3: Compare the site selection schemes with different numbers of distribution centers obtained in step 2, and choose the ideal site selection scheme based on comprehensive management costs;

[0058] Step 4: Route pla...

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Abstract

The present invention provides a site selection and transportation optimization method for ultra-large-scale logistics distribution, including clustering, site selection planning and path planning, specifically a combination of a bottom-up clustering method and an assignment-based clustering algorithm Calculation by method; Given the number of distribution centers as p, calculate the optimal location scheme with the goal of minimizing the total cost; compare the location schemes with different numbers of distribution centers, and choose the ideal location scheme based on the comprehensive management cost; Based on the demand for the number of distribution points within a cluster and geographic information, calculate the time requirements for the delivery handover of each distribution point and the traffic time requirements between points; apply the ant colony algorithm to calculate the optimal distribution route. This site selection and transportation optimization method for ultra-large-scale logistics distribution can effectively solve the problem of large-scale calculations caused by the large-scale growth of distribution points. Compared with the existing site selection-route planning, the calculation cost is greatly reduced and the efficiency Significantly improved.

Description

technical field [0001] The invention relates to a site selection and transportation optimization method for ultra-large-scale logistics distribution. Background technique [0002] Distribution center location and transportation route optimization (LRP, location and routing problem) refers to the determination of the number and location of warehouses and the transportation route of vehicles in the case of given customer locations and possible locations of warehouses, so as to minimize the total cost and at the same time The classic facility siting problem is closely related to the vehicle routing problem. In fact, these two problems can be regarded as special cases of distribution center location and transportation route optimization. From a practical point of view, distribution center location selection and transportation route optimization are practical problems faced by logistics distribution and distribution management; however, from a mathematical point of view, this ca...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/10G06Q10/04G06Q50/28
Inventor 周伟华
Owner 周伟华
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