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Intelligent supply chain management method and device based on big data

A technology of supply chain management and big data, applied in the field of supply chain, can solve problems such as difficult quality control, difficult precise control, waste of production capacity, etc., to achieve the effect of optimizing supply efficiency, preventing product hoarding, and preventing excessive hoarding of goods

Pending Publication Date: 2022-03-25
上海极屏数字科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a smart supply chain management method and device based on big data. The technical problem to be solved by the present invention is: with the development of big data informatization, through the Changes in the chain, make changes specific to the product industry, and then solve the problems of waste of production capacity, difficulty in quality control, and difficulty in accurately controlling limited production capacity to ensure supply

Method used

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  • Intelligent supply chain management method and device based on big data
  • Intelligent supply chain management method and device based on big data

Examples

Experimental program
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Effect test

Embodiment 1

[0033] A smart supply chain management method based on big data, including the following methods:

[0034] S1. Establish an RFID product trial data collection system to obtain information on the number of trials of products of different specifications within a time period.

[0035] S2. Set up a local data storage server to record the number of trials and inventory information, and summarize the transaction volume data of products of different specifications in the region and time.

[0036] S3. The real-time data of the data storage servers in different regions is encrypted and uploaded to the unified cloud database.

[0037] S4. The unified cloud database collects upstream workshop production capacity information and logistics information to form a unified management platform.

[0038] S5. The unified management platform analyzes the distribution data, feeds back the expected demand of the upstream production workshop of the corresponding product, and adjusts the planned prod...

Embodiment 2

[0055] S1. Register a number of RFID tags with different information according to different product styles. RFID radio frequency identification tags are installed on the products displayed in the warehouse, and RFID tag identification equipment is installed in the trial area of ​​the store to obtain information on the number of trials of products of different specifications within a certain period of time.

[0056] S2. Set up a local data storage server, and communicate with the cloud database data through the network, collect the comprehensive trial times information and the corresponding inventory information of the dealership stores, and summarize the transaction volume data of different specifications of products in the area and time.

[0057] S3. The unified cloud database collects upstream workshop production capacity information and logistics information to form a unified management platform.

[0058]S4. The unified management platform analyzes the distribution data, fee...

Embodiment 3

[0061] S1. Register a number of RFID tags with different information according to different product styles. RFID radio frequency identification tags are installed on the products displayed in the warehouse, and RFID tag identification equipment is installed in the trial area of ​​the store to obtain information on the number of trials of products of different specifications within a certain period of time.

[0062] S2. Set up a local data storage server, and communicate with the cloud database data through the network, collect the comprehensive trial times information and the corresponding inventory information of the dealership stores, and summarize the transaction volume data of different specifications of products in the area and time.

[0063] S3. The unified cloud database collects upstream workshop production capacity information and logistics information to form a unified management platform.

[0064] S4. The unified management platform analyzes the distribution data, fe...

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Abstract

The invention discloses an intelligent supply chain management method and device based on big data, and particularly relates to the technical field of supply chains. The demand of a single product in a future time period is comprehensively predicted according to the sales record and the trial amount of the product in combination with quarterly, sales volume and holiday and festival information, accurate regulation and control are carried out aiming at the productivity to ensure that each product is always in an optimal supply state, and the effect of accurate production and prevention of excessive stockpiling of goods can be realized; platform integration of a plurality of upstream and downstream manufacturers and dealers of the whole supply chain is realized, transparent and unified supervision and management of payment and logistics of goods are realized, and unique code information of a single product can be matched with recorded information of on-duty personnel of workshops on the current day. Based on the support of big data, accurate traceability of a quality link can be realized, and rapid quality control and adjustment are realized.

Description

technical field [0001] The present invention relates to the technical field of supply chain, and more specifically, the present invention relates to a method and device for intelligent supply chain management based on big data. Background technique [0002] Facing the complex and ever-changing market environment in the era of economic globalization, it is not easy to achieve efficient supply chain management. One of the important reasons is that a large amount of information appears in the market all the time, which contains rich opportunities and also indicates a lot of risks. However, enterprises in the supply chain often cannot grasp useful information in a timely and accurate manner, so they are at a loss when making decisions, and it is difficult to make correct choices. That is to say, there should be sufficient information sharing among member enterprises to eliminate the uncertainty within the supply chain system. The way to solve this problem is to carry out infor...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06K17/00
CPCG06Q10/0875G06K17/0029
Inventor 姜鹏程刘苏杭金星何杨齐鹏
Owner 上海极屏数字科技有限公司
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