Allocation center cargo quantity prediction method and device

A forecasting method and forecasting device technology, applied in forecasting, data processing applications, instruments, etc., can solve problems such as long cargo turnover time, low platform utilization, limited transfer venues, etc., to improve the core competitiveness of enterprises, improve The effect of customer satisfaction and improved turnover efficiency

Active Publication Date: 2019-10-18
深圳市恒路物流供应链管理有限公司
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  • Summary
  • Abstract
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Problems solved by technology

However, less-than-truckload logistics generally has a wide range of cargo sizes, limited transit space, and tight timeliness. It should move in and out quickly in the distribution center, and should concentrate on entering and leaving the station at a relatively fixed time period to improve efficiency. If the on-site personnel are not dispatched in time, It is very easy to cause cargo ...

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  • Allocation center cargo quantity prediction method and device
  • Allocation center cargo quantity prediction method and device
  • Allocation center cargo quantity prediction method and device

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Effect test

Embodiment 1

[0054] Embodiment 1 of the present invention provides a method for forecasting cargo volume in a distribution center, figure 1 It is a flow chart of realization of a distribution center cargo volume forecasting method provided by the embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:

[0055] S1: Historical cargo volume forecast: Calculate the historical estimated cargo volume on the forecast date based on the historical cargo volume of the distribution center;

[0056]S2: Real-time cargo volume forecast: obtain the cargo volume in stock and calculate the real-time estimated cargo volume on the forecast date based on the order cargo information. The real-time cargo volume forecast includes: outbound real-time cargo volume forecast and inbound real-time cargo volume forecast;

[0057] S3: Combining the historical estimated cargo volume and the real-time estimated cargo volume to obtain the forecasted cargo volume on the...

Embodiment 2

[0086] This embodiment provides a cargo volume forecasting device for a distribution center, which is used to implement the method described in Embodiment 1. Such as figure 2 As shown, it is a structural block diagram of the cargo volume forecasting device of the distribution center in this embodiment, including:

[0087] Historical cargo volume forecasting module 10: used to calculate historical forecasted cargo volume on the forecast date based on the historical cargo volume of the distribution center, wherein the historical forecasted cargo volume forecast includes: outbound historical forecasted cargo volume forecast and inbound forecasted cargo volume forecast;

[0088] Real-time cargo volume forecasting module 20: used to obtain the cargo volume in stock and calculate the real-time estimated cargo volume on the forecast date based on the order cargo information, wherein the real-time cargo volume forecast includes: outbound real-time cargo volume forecast and inbound re...

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Abstract

The invention discloses a distribution center cargo quantity prediction method and device in the field of logistics transportation. The method comprises the following steps of acquiring historical predicted goods amount of a prediction date through calculation of the historical goods amount of a distribution center and obtaining the in-storage goods quantity and calculating the real-time predictedgoods quantity of the prediction date on the same day according to the order goods information; combining the historical predicted cargo quantity and the real-time predicted cargo quantity to obtainthe predicted cargo quantity of the allocation center prediction date on the same day. which is used for scheduling and planning logistics resources in advance. Untimely scheduling of field personnelis avoided. The problems of goods accumulation and resource waste caused by the fact that goods are transferred by a distribution center and various unreasonable resource allocation phenomena exist after the goods transferred by the distribution center reach a certain order of magnitudes are solved. The turnover efficiency of the distribution center is improved. Customer requirements are met. Customer satisfaction is improved, the operation cost of the distribution center is reduced, and the core competitiveness of enterprises is improved. The invention can be widely applied to the field of goods volume prediction logistics.

Description

technical field [0001] The invention relates to the field of logistics transportation, in particular to a method and device for predicting cargo volume in a distribution center. Background technique [0002] Nowadays, various forms of logistics have emerged in the logistics industry, all of which have been greatly developed. For example, less-than-truckload logistics means that when the weight or volume of a batch of goods is less than one truck, it can be shared with several other batches or even hundreds of shipments. This kind of logistics method is called less-than-truckload cargo transportation. It is a service form in which the carrier department collects the goods of different cargo owners into one truck at the same destination and then ships them. However, less-than-truckload logistics generally has a wide range of cargo sizes, limited transit space, and tight timeliness. It should move in and out quickly in the distribution center, and should concentrate on entering...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/083G06Q10/087
Inventor 石唯史骞曲萍
Owner 深圳市恒路物流供应链管理有限公司
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