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Shipment quantity prediction method and device, computer device and storage medium

A forecasting method and technology for shipments, applied in the fields of forecasting methods for shipments, forecasting devices for shipments, computer storage media, and computer devices, can solve problems such as unintelligence and low efficiency, and achieve the effect of efficient forecasting methods

Pending Publication Date: 2021-10-29
HONGFUJIN PRECISION ELECTRONICS (TIANJIN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some current shipment forecasting methods mostly use manual statistical analysis methods to predict future shipments at a preset time. The existing shipment forecast methods are inefficient and not intelligent.

Method used

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  • Shipment quantity prediction method and device, computer device and storage medium
  • Shipment quantity prediction method and device, computer device and storage medium
  • Shipment quantity prediction method and device, computer device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] refer to figure 1 As shown in FIG. 1 , it is a schematic diagram of the application environment architecture of the shipping volume forecasting method provided in Embodiment 1 of the present invention.

[0047]The shipping quantity prediction method in the present invention is applied in a computer device 1, and the computer device 1 establishes a communication connection with at least one user terminal 2 through a network. The network may be a wired network or a wireless network, such as radio, wireless fidelity (Wireless Fidelity, WIFI), cellular, satellite, broadcast, and the like. The user terminal 2 is used to send the code of the item number to be queried. The computer device 1 is used to predict the usage quantity of the material corresponding to the material number code on the product to be produced within a preset time period, and calculate the material number code according to the correspondence table between the material number code and product information ...

Embodiment 2

[0051] see figure 2 As shown, it is a flow chart of the shipping volume forecasting method provided by the second embodiment of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0052] Step S1, obtaining the material name and at least one material number code corresponding to the material name.

[0053] The item number code can be a combination of letters and numbers. The letters and numbers in the item number code are used to describe the material of the item number, installation location, applied product model, product brand, country and region of sale, etc. For example, material number ABC123, where A is the material code of the material, the material information of the material can be obtained according to the preset material code and the comparison relationship of the material; B is the installation position code of the material, which can be obtained according to the pre...

Embodiment 3

[0081] image 3 It is a structural diagram of a preferred embodiment of the shipment forecasting device of the present invention.

[0082]In some embodiments, the shipment forecasting device 10 runs on a computer device. The computer device is connected to a plurality of user terminals through a network. The shipment forecasting device 10 may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the shipment forecasting device 10 can be stored in the memory of the computer device, and executed by the at least one processor, so as to realize the shipment forecast function.

[0083] In this embodiment, the shipment volume forecasting device 10 can be divided into multiple functional modules according to the functions it performs. refer to image 3 As shown, the functional modules may include: an acquisition module 101 , a prediction module 102 , and a calculation module 103 . The module referred to in the p...

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Abstract

The invention provides a shipment quantity prediction method, a shipment quantity prediction device, a computer device and a computer storage medium. The method comprises the steps of obtaining a material name and at least one material number code corresponding to the material name; calling a pre-trained and generated material use amount prediction model, and predicting the use amount of the material corresponding to the at least one material number code required for producing at least one model of product within a preset time by using the material use amount prediction model, and querying a corresponding relation table of the material number codes and the product information according to the use quantity of the materials corresponding to the at least one material number code, and calculating the shipment quantity of the products of at least one model corresponding to the at least one material number code. Through the method, the shipment quantity prediction is carried out in a more efficient and intelligent manner.

Description

technical field [0001] The invention relates to the technical field of supply chain management, in particular to a method for predicting shipments, a device for predicting shipments, a computer device, and a computer storage medium. Background technique [0002] With the vigorous development of the electronic information industry, people's demand for electronic products is increasing, and the update speed of electronic products is fast, so the requirements for the production efficiency of electronic products are also getting higher and higher. However, the structure of electronic products is complex, and there are many parts required to produce an electronic product, so it poses greater challenges to the logistics and storage of parts. In actual production, people need to predict the product shipments, so as to reasonably arrange the procurement and logistics of raw materials. Currently, some methods of forecasting shipments mostly use manual statistical analysis methods to...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/0875G06Q10/10G06Q10/06315G06Q10/0838G06N3/08G06N20/00G06N20/10G06N5/01G06N7/01G06N3/045G06F16/284G06N3/04G06F16/245
Inventor 薛凯薰陈力铭张毓仁林尚毅
Owner HONGFUJIN PRECISION ELECTRONICS (TIANJIN) CO LTD
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