CN116029649A - Big data-based supply chain management platform - Google Patents
Big data-based supply chain management platform Download PDFInfo
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- CN116029649A CN116029649A CN202310019866.6A CN202310019866A CN116029649A CN 116029649 A CN116029649 A CN 116029649A CN 202310019866 A CN202310019866 A CN 202310019866A CN 116029649 A CN116029649 A CN 116029649A
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- 238000013068 supply chain management Methods 0.000 title claims abstract description 13
- 238000007726 management method Methods 0.000 claims abstract description 63
- 238000003032 molecular docking Methods 0.000 claims abstract description 5
- 210000001503 joint Anatomy 0.000 claims abstract description 3
- 238000007689 inspection Methods 0.000 claims description 16
- 230000001502 supplementing effect Effects 0.000 claims description 10
- 238000012163 sequencing technique Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 238000012384 transportation and delivery Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 2
- 238000010924 continuous production Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention relates to a supply chain management platform based on big data, which comprises a demand butt joint module, a warehouse management module and a logistics management module; the demand docking module comprises a supplier unit, an off-line sales demand unit, an on-line feedback demand unit, a warehouse stock obtaining unit, a quantity comparing unit and a demand publishing unit; the information of the demands generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit is acquired through the quantity comparison unit and then compared with the information of the warehouse stock acquisition unit, and then the demand release unit releases the demand information according to the information of the quantity comparison unit, so that the demands are released after the various sales demands are communicated with the information of the warehouse, and the error between the sales demand and the stock is reduced.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a supply chain management platform based on big data.
Background
Supply chain (Supply chain) refers to the entire chain of the production and distribution process that involves the creation of a network chain structure by the enterprises upstream and downstream of the activities that provide the product or service to the end user, i.e., the product is sent from the merchant to the consumer; however, since sales is a continuous process, the sales channel is not fixed, and thus, there is a large error between sales demand and stock.
Disclosure of Invention
In order to solve the problems, the invention provides a supply chain management platform based on big data.
The technical scheme of the invention is as follows: the supply chain management platform based on big data comprises a demand butt joint module, a warehouse management module and a logistics management module; the demand docking module comprises a supplier unit, an off-line sales demand unit, an on-line feedback demand unit, a warehouse stock quantity acquisition unit, a quantity comparison unit and a demand release unit; the off-line sales demand unit is used for acquiring the quantity information of the goods sold by the distributor on line; the online feedback demand unit is used for acquiring the quantity and time information of the objects purchased by the target user online; the warehouse stock quantity acquisition unit is used for acquiring the quantity information of the articles in the warehouse; the quantity comparison unit is in signal connection with the supplier unit, the off-line sales demand unit, the on-line feedback demand unit and the warehouse stock obtaining unit, and is used for obtaining demand information generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit and comparing the demand information with information of the warehouse stock obtaining unit; the demand release unit is in signal connection with the quantity comparison unit and is used for releasing demand information after acquiring the information of the quantity comparison unit.
Further, the warehouse management module comprises a receiving management unit, a quality inspection management unit, a rechecking and boxing unit, a pallet point supplementing unit and a warehouse type identification unit; the receiving management unit is used for realizing automatic management of receiving flows; the quality inspection management unit is used for realizing automatic management of the cargo quality inspection flow; the re-checking and boxing unit is used for realizing automatic management of a cargo re-checking and boxing process, and the pallet point supplementing unit is used for realizing automatic management of a pallet point supplementing process; the warehouse type identification unit is used for acquiring the information of the types of the articles in the warehouse.
Further, the receiving management unit, the quality inspection management unit, the rechecking boxing unit, the pallet supplementing point unit and the warehouse type identification unit are connected through computer program interfaces and transmit data.
Further, the logistics management module comprises a quotation management unit, a cost settlement unit, a sequencing unit and a dispatch unit; the quotation management unit is used for realizing quotation automatic management, including quotation in aspects of transportation, storage, insurance, abnormality and time efficiency; the expense settlement unit is used for realizing the automatic management of an expense settlement flow; the ordering unit is used for ordering the logistics demand information of the demand issuing unit; the distributing unit is used for generating a logistics order according to the logistics requirement after sequencing in the sequencing unit and distributing the logistics order to the mobile terminal.
Further, the quotation management unit, the fee settlement unit, the sorting unit and the dispatch unit are connected through a computer program interface and transmit data.
Further, the distributing unit distributes the ordered logistics orders to the mobile terminal of the logistics driver in sequence, and then pays the freight of the logistics orders to the logistics driver in an online payment mode.
Compared with the prior art, the invention has the advantages that: the information of the demands generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit is acquired through the quantity comparison unit and then compared with the information of the warehouse stock acquisition unit, and then the demand release unit releases the demand information according to the information of the quantity comparison unit, so that the demands are released after the various sales demands are communicated with the information of the warehouse, and the error between the sales demand and the stock is reduced.
Drawings
FIG. 1 is a schematic diagram of the modular composition of the present invention;
Detailed Description
In order to further describe the technical means and effects adopted by the present invention for achieving the intended purpose, the following detailed description will refer to the specific implementation, structure, characteristics and effects according to the present invention with reference to the accompanying drawings and preferred embodiments.
As shown in fig. 1, a supply chain management platform based on big data comprises a demand docking module, a warehouse management module and a logistics management module; the demand docking module comprises a supplier unit, an off-line sales demand unit, an on-line feedback demand unit, a warehouse stock obtaining unit, a quantity comparing unit and a demand publishing unit; the off-line sales demand unit is used for acquiring the quantity information of the goods sold by the distributor on line; the online feedback demand unit is used for acquiring the quantity and time information of the objects purchased by the target user online; the warehouse stock quantity acquisition unit is used for acquiring the quantity information of the articles in the warehouse; the quantity comparison unit is in signal connection with the supplier unit, the off-line sales demand unit, the on-line feedback demand unit and the warehouse stock obtaining unit, and is used for obtaining demand information generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit and comparing the demand information with the information of the warehouse stock obtaining unit; the demand release unit is in signal connection with the quantity comparison unit and is used for releasing demand information after acquiring the information of the quantity comparison unit; the information of the demands generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit is acquired through the quantity comparison unit and then compared with the information of the warehouse stock acquisition unit, and then the demand release unit releases the demand information according to the information of the quantity comparison unit, so that the demands are released after the various sales demands are communicated with the information of the warehouse, and the error between the sales demand and the stock is reduced.
The warehouse management module comprises a receiving management unit, a quality inspection management unit, a rechecking and boxing unit, a pallet point supplementing unit and a warehouse type identification unit; the receiving management unit, the quality inspection management unit, the rechecking and boxing unit, the pallet point supplementing unit and the warehouse type identification unit are connected through a computer program interface and transmit data; the receiving management unit is used for realizing automatic management of receiving flows, and comprises the step of automatically identifying a purchase order and a delivery order after receiving personnel enter order information and quantity. The quality inspection management unit is used for realizing automatic management of the cargo quality inspection flow, and comprises weighing check weight of a cargo receiving person, inputting information to the quality inspection management unit after the cargo quality inspection, and carrying out automatic classification management after identification according to the input information by the quality inspection management unit, wherein the cargo receiving person can recognize different cargoes and how the quality of the cargoes is through classification of the quality inspection management unit. The rechecking and boxing unit is used for realizing automatic management of the goods rechecking and boxing flow, and comprises finished product delivery, namely determining the time, the number and the types of the finished product delivery according to a delivery plan after confirming the delivery bill, and forming a delivery task list. The replenishing pallet point unit is used for realizing automatic management of replenishing pallet point flow, and comprises sorting and managing replenishing information, and managing and timely reminding which replenishing is needed according to the flow of replenishing quick-sales products and then replenishing promotion products and finally replenishing general commodities. The warehouse type identification unit is used for acquiring the information of the types of the articles in the warehouse.
The logistics management module comprises a quotation management unit, a fee settlement unit, a sequencing unit and a dispatch unit; the quotation management unit, the expense settlement unit, the ordering unit and the dispatch unit are connected through a computer program interface and transmit data; the sorting unit extracts data characteristics in the demand information, extracts starting point information and end point information in the demand information, sorts a plurality of demand information with the same starting point information and end point information in parallel, simultaneously processes and distributes the plurality of demand information in parallel, particularly distributes the same starting point information and the plurality of demand information of the end point information together to a logistics driver terminal for merging and transporting, improves the processing speed of logistics information, reduces the cost of logistics, sorts a plurality of demand information with inconsistent starting point information and end point information according to the time of the demand information, and distributes the plurality of demand information according to the sequence after time sequencing; the distributing unit is used for generating a logistics order according to the logistics demand after the sorting in the sorting unit is completed, distributing the logistics order to a mobile terminal of a logistics driver, and paying the freight of the logistics order to the logistics driver in an online payment mode; the quotation management unit is used for realizing quotation automation management, including quotation in aspects of transportation, storage, insurance, abnormality and time efficiency; the expense settlement unit is used for realizing the automatic management of an expense settlement flow; the ordering unit is used for ordering the logistics demand information of the demand issuing unit.
The implementation manner of all the modules related to the technical scheme of the invention adopts a public, mature and open-source program architecture and program codes, the business flow related to the technical scheme of the invention is common knowledge in the field, and the functions described by the technical scheme of the invention can be easily implemented by adopting the existing and open program architecture and program codes.
The present invention is not limited to the above-mentioned embodiments, but is not limited to the above-mentioned embodiments, and any person skilled in the art can make some changes or modifications to the equivalent embodiments without departing from the scope of the present invention, but any brief description of modification, equivalent changes and modification of the above-mentioned embodiments according to the technical substance of the present invention falls within the scope of the present invention.
Claims (6)
1. A big data based supply chain management platform, characterized in that: the system comprises a demand butt joint module, a warehouse management module and a logistics management module; the demand docking module comprises a supplier unit, an off-line sales demand unit, an on-line feedback demand unit, a warehouse stock quantity acquisition unit, a quantity comparison unit and a demand release unit; the off-line sales demand unit is used for acquiring the quantity information of the goods sold by the distributor on line; the online feedback demand unit is used for acquiring the quantity and time information of the objects purchased by the target user online; the warehouse stock quantity acquisition unit is used for acquiring the quantity information of the articles in the warehouse; the quantity comparison unit is in signal connection with the supplier unit, the off-line sales demand unit, the on-line feedback demand unit and the warehouse stock obtaining unit, and is used for obtaining demand information generated by the supplier unit, the off-line sales demand unit and the on-line feedback demand unit and comparing the demand information with information of the warehouse stock obtaining unit; the demand release unit is in signal connection with the quantity comparison unit and is used for releasing demand information after acquiring the information of the quantity comparison unit.
2. The big data based supply chain management platform of claim 1, wherein: the warehouse management module comprises a receiving management unit, a quality inspection management unit, a rechecking and boxing unit, a pallet point supplementing unit and a warehouse type identification unit; the receiving management unit is used for realizing automatic management of receiving flows; the quality inspection management unit is used for realizing automatic management of the cargo quality inspection flow; the rechecking and boxing unit is used for realizing automatic management of the goods rechecking and boxing flow; the pallet point supplementing unit is used for realizing automatic management of pallet point supplementing flow; the warehouse type identification unit is used for acquiring the information of the types of the articles in the warehouse.
3. The big data based supply chain management platform of claim 2, wherein: the goods receiving management unit, the quality inspection management unit, the rechecking boxing unit, the pallet point supplementing unit and the warehouse type identification unit are connected through a computer program interface and transmit data.
4. The big data based supply chain management platform of claim 1, wherein: the logistics management module comprises a quotation management unit, a cost settlement unit, a sequencing unit and a dispatch unit; the quotation management unit is used for realizing quotation automatic management, including quotation in aspects of transportation, storage, insurance, abnormality and time efficiency; the expense settlement unit is used for realizing the automatic management of an expense settlement flow; the ordering unit is used for ordering the logistics demand information of the demand issuing unit; the distributing unit is used for generating a logistics order according to the logistics requirement after sequencing in the sequencing unit and distributing the logistics order to the mobile terminal.
5. The big data based supply chain management platform of claim 4, wherein: the quotation management unit, the expense settlement unit, the sorting unit and the dispatch unit are connected through a computer program interface and transmit data.
6. The big data based supply chain management platform of claim 4, wherein: and the distributing unit distributes the ordered logistics orders to the mobile terminal of the logistics driver in sequence, and then pays the shipping cost of the logistics orders to the logistics driver in an online payment mode.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310019866.6A CN116029649A (en) | 2023-01-06 | 2023-01-06 | Big data-based supply chain management platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310019866.6A CN116029649A (en) | 2023-01-06 | 2023-01-06 | Big data-based supply chain management platform |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113362006A (en) * | 2021-06-22 | 2021-09-07 | 刘天琼 | Intelligent supply chain logistics big data AI management platform |
| KR20210125355A (en) * | 2020-04-08 | 2021-10-18 | 주식회사 개미창고 | Physical distribution integrated management platform system |
| CN114707771A (en) * | 2022-06-06 | 2022-07-05 | 南京易联阳光信息技术股份有限公司 | Big data based medicine supply chain management method and platform |
| CN114862469A (en) * | 2022-05-17 | 2022-08-05 | 郑小娟 | Electronic commerce data monitoring management system |
| CN115099751A (en) * | 2022-07-15 | 2022-09-23 | 安徽港口物流有限公司 | Cloud logistics platform for supply chain management |
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- 2023-01-06 CN CN202310019866.6A patent/CN116029649A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210125355A (en) * | 2020-04-08 | 2021-10-18 | 주식회사 개미창고 | Physical distribution integrated management platform system |
| CN113362006A (en) * | 2021-06-22 | 2021-09-07 | 刘天琼 | Intelligent supply chain logistics big data AI management platform |
| CN114862469A (en) * | 2022-05-17 | 2022-08-05 | 郑小娟 | Electronic commerce data monitoring management system |
| CN114707771A (en) * | 2022-06-06 | 2022-07-05 | 南京易联阳光信息技术股份有限公司 | Big data based medicine supply chain management method and platform |
| CN115099751A (en) * | 2022-07-15 | 2022-09-23 | 安徽港口物流有限公司 | Cloud logistics platform for supply chain management |
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