CN111784257A - Big data warehouse management system based on cloud platform - Google Patents
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Abstract
The invention discloses a cloud platform-based big data warehousing management system, which comprises goods, a laser scanner, a warehouse, a data storage module, a cloud computing module and a computer, wherein the goods comprise common goods, returned goods and festive goods, the warehouse comprises a sales bin, a gift bin and a damage reporting bin, the laser scanner is connected with the data storage module, and the cloud computing module is respectively connected with the data storage module and the computer. The goods are managed systematically, and the goods can be conveniently put in and taken out of the warehouse.
Description
Technical Field
The invention relates to the technical field of warehousing management, in particular to a cloud platform-based big data warehousing management system.
Background
Warehousing plays a crucial role in the whole supply chain of an enterprise, if correct feeding, inventory control and delivery cannot be guaranteed, the management cost is increased, the service quality is difficult to guarantee, the competitiveness of the enterprise is influenced, and the traditional simple and static warehousing management cannot guarantee the efficient utilization of various resources of the enterprise;
however, the management of the stored goods at present depends on manual memory and manual input, which not only wastes time and labor, but also is easy to make mistakes, brings huge loss to enterprises, and can not calculate and warn the damage condition, the sales condition and the inventory condition of the goods in time.
Disclosure of Invention
The invention provides a cloud platform-based big data warehouse management system, which can effectively solve the problems that the management of the current warehouse goods depends on manual memory and manual input, time and labor are wasted, mistakes are easy to make, huge loss is brought to enterprises, and the damage condition, the sales condition and the inventory condition of the goods cannot be calculated and warned in time in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a big data warehousing management system based on a cloud platform comprises goods, a laser scanner, a warehouse, a data storage module, a cloud computing module and a computer, wherein the goods comprise common goods, returned goods and festive goods, and the warehouse comprises a selling bin, a gift bin and a damage reporting bin;
the laser scanner is connected with the data storage module, and the cloud computing module is connected with the data storage module and the computer respectively.
Preferably, the goods are scanned by the laser scanner when entering and exiting the warehouse, the quantity of the goods scanned at one time is the total inventory of the goods, the quantity of the goods scanned at the second time is the sales volume of the goods, the difference between the quantity of the goods scanned at one time and the quantity of the goods scanned at the second time is the existing inventory quantity of the goods, and when the sales volume of the goods reaches 80% of the total inventory, the computer sends out an inventory replenishment early warning to remind of getting the goods.
Preferably, after warehousing inspection, the goods are scanned by a laser scanner to enter a warehouse for storage, and the data of warehousing detection is transmitted to a data storage module;
checking and examining the warehouse goods at regular intervals, and conveying the examination results to a data storage module;
and the cloud computing module processes the data in the data storage module and then presents a final result through a computer.
Preferably, the warehousing inspection and the checking and checking of the goods comprise the appearance, package damage condition, weight, quantity and the like of the goods, the qualified goods are correspondingly placed in a selling bin and a gift bin, and the unqualified goods are placed in a damage reporting bin;
the goods after warehousing inspection enter a selling bin, a gift bin and a damage reporting bin respectively for storage according to inspection conditions, the inspection is carried out on the selling bin and the gift bin, the inspection comprises appearance of the goods, package damage conditions and the like, and the inspected unqualified goods are placed in the damage reporting bin;
the results of warehousing examination and investigation are stored in the data storage module, and the cloud computing module is used for computing, analyzing and comparing the data, so that the warehousing time, the warehousing damage reporting rate, the storage time and the storage damage reporting rate are displayed on a computer.
Preferably, the returned goods are put into a warehouse after warehousing inspection, the number of the goods which are prompted to be reissued is checked by the computer, and the corresponding number of the goods are reissued in the selling warehouse.
Preferably, when the returned goods are delivered into the warehouse again, the returned goods are subjected to warehouse entry inspection firstly, scanned and delivered into the sales warehouse after being detected to be qualified, the goods which are detected to be unqualified are scanned by the laser scanner and delivered into the damage reporting warehouse, returned data are delivered into the cloud computing module through the data storage module, the returned quantity is checked by the computer, the number of the goods which are delivered by the sales warehouse is prompted, and the corresponding quantity of the goods are delivered by the sales warehouse.
Preferably, the data storage module records the warehousing goods price and the warehousing selling price, and makes a selling selection for clearing the inventory or increasing the profit according to the inventory and the selling condition, and the cloud computing module combines the warehousing goods price, the warehousing selling price and the real-time selling price to make a final selling price.
Preferably, the real-time selling price is larger than the warehousing selling price, the selling amount is in an ascending trend, the profit is increased for selling, and 10% of selling price is increased for selling on the basis of the real-time selling price;
and the real-time selling price is less than the warehousing selling price, the daily selling amount is in a descending trend, inventory cleaning and selling are selected, and 40% of the difference between the real-time selling price and the warehousing selling price is added into the warehouse for pricing and selling, so that the aim of cleaning the inventory is fulfilled.
Preferably, the flow of the order goods into and out of the warehouse is as follows:
s1, placing orders and feeding goods through a computer before holiday days, wherein the feeding quantity is increased by 20% on the basis of sales volume of the previous year;
s2, after warehousing and inspection, the festivals are scanned by a laser scanner and then stored in a warehouse;
s3, warehousing goods to a price three times of the price of the purchase price before three days;
and S4, performing statistical calculation through the cloud computing module according to the sales records of the festival before three days within three days before the festival, performing replenishment and price selling on products with better sales, and enabling products with poor sales to enter a gift warehouse for purchase and presentation.
Preferably, after the code-saving goods are put in storage and checked, the qualified goods enter a selling bin, and the unqualified products enter a gift bin;
the sales volume of the festoon goods before the goods are put in storage for three days is less than 5% of the stock, and the goods less than 1% of the total stock are put into the gift box.
Compared with the prior art, the invention has the beneficial effects that:
through a cloud computing-based big data warehousing management system, warehousing, inspection, classification and warehousing are carried out on goods, damage conditions during goods transportation are checked, the shelf life and the damage conditions of the goods are checked regularly, the damage conditions and the stock conditions are recorded through a data storage module and a cloud computing module, early warning is carried out on less stocks, tracking and warning are carried out on the goods in imminent future, the effect of spanning threes and warehousing is achieved, systematic management is carried out on the goods, and the goods are convenient to enter and exit the warehouse;
the returned goods are scanned and enter the gift bin and the damage reporting bin after being put into the warehouse for inspection, and the computer performs replenishment according to the scanning quantity prompt, so that the goods can be conveniently and strictly controlled to enter and exit, and the phenomenon that the stock is disordered due to returned goods is avoided;
the big data and the cloud computing are utilized to carry out sales pricing for cleaning up the stock and increasing profits on common goods, the goods for saving are planned to be sold before saving, the different goods can be conveniently and reasonably sold according to the stock and the sales needs, and the stock overstock and loss sales are avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a warehousing examination of the present invention;
FIG. 3 is a return cargo flow diagram of the present invention;
FIG. 4 is a schematic diagram of sales pricing of the present invention;
fig. 5 is a schematic illustration of the invention's economical sale of goods.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1: as shown in fig. 1-2, the present invention provides a technical solution, a cloud platform-based big data warehousing management system, including goods, a laser scanner, a warehouse, a data storage module, a cloud computing module and a computer, where the goods include general goods, returned goods and orderliness goods, and the warehouse includes a sales bin, a gift bin and a loss reporting bin;
the laser scanner is connected with the data storage module, and the cloud computing module is connected with the data storage module and the computer respectively.
When the goods are in and out of the warehouse, the goods are scanned by the laser scanner, the quantity of the goods scanned at one time is the total inventory of the goods, the quantity of the goods scanned at the second time is the sales volume of the goods, the difference between the quantity of the goods scanned at one time and the quantity of the goods scanned at the second time is the existing inventory quantity of the goods, and when the sales volume of the goods reaches 80% of the total inventory, the computer sends out inventory replenishment early warning to remind of getting the goods.
After the goods are subjected to warehousing inspection, the goods are scanned by a laser scanner to enter a warehouse for storage, and the data subjected to warehousing detection are transmitted to a data storage module;
checking and checking warehouse goods every week, transmitting checked overdue goods data to a data storage module, withdrawing the overdue goods to return to a manufacturer, and discounting and selling checked imminent futures;
the cloud computing module registers the shelf life of the temporary goods in the data storage module, and the computer warns to remind of removing the shelf when the shelf is due.
Warehousing inspection and inventory checking and checking of the goods comprise the appearance, package damage condition, weight, quantity and the like of the goods, the appearance is not obviously damaged, the packages are not subjected to air leakage, the weight is within the marked weight range, the quantity of the qualified goods is accurately counted and placed in a selling bin and a gift bin, and the unqualified goods are placed in a damage reporting bin;
the goods after warehousing inspection respectively enter a selling bin, a gift bin and a damage reporting bin for storage according to the inspection condition, the inspection is carried out aiming at the selling bin and the gift bin, the inspection comprises the appearance of the goods, the package damage condition and the like, and the unqualified goods with damage after the inspection is placed in the damage reporting bin;
the results of warehousing examination and investigation are stored in the data storage module, and the cloud computing module is used for computing, analyzing and comparing the data, so that the warehousing time, the warehousing damage reporting rate, the storage time and the storage damage reporting rate are displayed on a computer.
Example 2: as shown in figure 3, the invention provides a technical scheme that returned goods enter a warehouse after warehousing inspection, the number of the goods which are prompted to be reissued is checked by a computer, and the corresponding number of the goods are reissued by a sales bin.
When returned goods enter the warehouse again, the returned goods are firstly subjected to warehouse entry inspection, scanned and enter the sales warehouse after being detected to be qualified, the detected unqualified goods enter the damage reporting warehouse after being scanned by the laser scanner, returned data enter the cloud computing module through the data storage module, the returned quantity is checked by the computer, the number of the goods which are sent back by the sales warehouse is prompted, and the corresponding quantity of the goods are sent back by the sales warehouse.
Example 3: as shown in fig. 4, the present invention provides a technical solution, in which the data storage module records the warehousing entrance price and the warehousing sale price, and makes a sale selection for clearing the inventory or increasing the profit according to the inventory and the sale condition, and the cloud computing module makes a final sale price by combining the warehousing entrance price, the warehousing sale price and the real-time sale price.
The real-time selling price is larger than the warehousing selling price, the selling amount is in an ascending trend, the profit sale is increased, and 10% of selling price is increased on the basis of the real-time selling price for sale;
and (3) selecting to clear the warehouse for sale when the real-time selling price is less than the warehouse selling price and the daily selling amount is in a descending trend, and adding 40% of the difference between the real-time selling price and the warehouse selling price into the warehouse for price selling so as to achieve the purpose of clearing the warehouse.
Example 4: as shown in fig. 5, the present invention provides a technical solution, and the process of saving the goods in and out of the warehouse is as follows:
s1, placing orders and feeding goods through a computer before holiday days, wherein the feeding quantity is increased by 20% on the basis of sales volume of the previous year;
s2, after warehousing and inspection, the festivals are scanned by a laser scanner and then stored in a warehouse;
s3, warehousing goods to a price three times of the price of the purchase price before three days;
and S4, performing statistical calculation through the cloud computing module according to the sales records of the festival before three days within three days before the festival, performing replenishment and price selling on products with better sales, and enabling products with poor sales to enter a gift warehouse for purchase and presentation.
After the order-saving goods are put in a warehouse for inspection, the qualified goods enter a selling bin, and the unqualified products enter a gift bin;
the sales volume of the festoon goods before the goods are put in storage for three days is less than 5% of the stock, and the goods less than 1% of the total stock are put into the gift box.
The working principle and the using process of the invention are as follows: when goods are in and out of the warehouse and scanned by the laser scanner, the quantity of the goods scanned at one time is the total inventory of the goods, the quantity of the goods scanned at the second time is the sales volume of the goods, the difference between the quantity of the goods scanned at one time and the quantity of the goods scanned at the second time is the existing inventory quantity of the goods, when the sales volume of the goods reaches 80 percent of the total inventory, the computer sends out an inventory replenishment early warning to remind of getting in the goods,
after the goods are subjected to warehousing inspection, the goods are scanned by a laser scanner to enter a warehouse for storage, and the data subjected to warehousing detection are transmitted to a data storage module;
checking and checking warehouse goods every week, transmitting checked overdue goods data to a data storage module, withdrawing the overdue goods to return to a manufacturer, and discounting and selling checked imminent futures;
the cloud computing module registers the shelf life of the temporary goods in the data storage module, and the computer warns to remind of removing the shelf when the shelf life is due;
warehousing inspection and inventory checking and checking of the goods comprise the appearance, package damage condition, weight, quantity and the like of the goods, the appearance is not obviously damaged, the packages are not subjected to air leakage, the weight is within the marked weight range, the quantity of the qualified goods is accurately counted and placed in a selling bin and a gift bin, and the unqualified goods are placed in a damage reporting bin;
the goods after warehousing inspection respectively enter a selling bin, a gift bin and a damage reporting bin for storage according to the inspection condition, the inspection is carried out aiming at the selling bin and the gift bin, the inspection comprises the appearance of the goods, the package damage condition and the like, and the unqualified goods with damage after the inspection is placed in the damage reporting bin;
the results of warehouse entry inspection and investigation are stored in the data storage module, and the cloud computing module is used for computing, analyzing and comparing the data, so that the warehouse entry time, the warehouse entry loss reporting rate, the storage time and the storage loss reporting rate are displayed on a computer,
when returned goods enter the warehouse again, the returned goods are firstly subjected to warehouse entry inspection, scanned and enter the sales warehouse after being detected to be qualified, the detected unqualified goods enter the damage reporting warehouse after being scanned by the laser scanner, returned data enter the cloud computing module through the data storage module, the returned quantity is checked by the computer, the number of the goods which are sent back by the sales warehouse is prompted, and the corresponding quantity of the goods are sent back by the sales warehouse.
The data storage module records the warehousing input price and the warehousing selling price, and makes selling selection for clearing inventory or increasing profit according to inventory and selling conditions, wherein the real-time selling price is larger than the warehousing selling price, the selling amount is in an ascending trend, the selling selection for increasing profit is selected, and 10% selling price is increased on the basis of the real-time selling price for selling;
the real-time selling price is less than the warehousing selling price, the daily selling amount is in a descending trend, inventory-cleaning selling is selected, and 40% of the difference between the real-time selling price and the warehousing selling price is added into the warehouse for pricing and selling, so that the aim of cleaning the inventory is fulfilled;
ordering and feeding goods through a computer before holiday days, wherein the goods feeding quantity is increased by 20% on the basis of sales volume of the past year;
after warehousing inspection of the order goods, scanning the order goods by a laser scanner to enter a warehouse for storage, after warehousing inspection of the order goods, enabling qualified goods to enter a selling bin, and enabling unqualified products to enter a gift bin;
the goods are put in storage for three days before the order is saved and are priced and sold at the price three times of the entering price;
and in the three days before the festival, according to the sales records before the three days before the festival, carrying out statistical calculation through a cloud computing module, and carrying out replenishment and price-correcting sales on products which are well sold, wherein the sales volume of the festival goods before the goods are put in storage to the festival by three days is less than 5% of the stock, and the goods which are less than 1% of the total stock enter a gift warehouse.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a big data warehouse management system based on cloud platform which characterized in that: the system comprises goods, a laser scanner, a warehouse, a data storage module, a cloud computing module and a computer, wherein the goods comprise common goods, returned goods and ordered goods, and the warehouse comprises a sales bin, a gift bin and a damage reporting bin;
the laser scanner is connected with the data storage module, and the cloud computing module is connected with the data storage module and the computer respectively.
2. The cloud platform-based big data warehousing management system as claimed in claim 1, wherein the goods are scanned by the laser scanner when entering and exiting the warehouse, the number of the goods scanned at one time is the total inventory of the goods, the number of the goods scanned at the second time is the sales volume of the goods, the difference between the number of the goods scanned at one time and the number of the goods scanned at the second time is the existing inventory of the goods, and when the sales volume of the goods reaches 80% of the total inventory, the computer sends out an inventory replenishment warning to remind the user of stocking the goods.
3. The cloud platform-based big data warehousing management system as claimed in claim 1, wherein the goods are scanned by a laser scanner to enter a warehouse for storage after being subjected to warehousing inspection, and data of warehousing detection is transmitted to a data storage module;
checking and examining the warehouse goods at regular intervals, and conveying the examination results to a data storage module;
and the cloud computing module processes the data in the data storage module and then presents a final result through a computer.
4. The cloud platform-based big data warehousing management system according to claim 3, wherein warehousing inspection and inventory inspection of goods comprise appearance, package damage condition, weight, quantity and the like of the goods, qualified goods are correspondingly placed in a sales bin and a gift bin, and unqualified goods are placed in a loss reporting bin;
the goods after warehousing inspection enter a selling bin, a gift bin and a damage reporting bin respectively for storage according to inspection conditions, the inspection is carried out on the selling bin and the gift bin, the inspection comprises appearance of the goods, package damage conditions and the like, and the inspected unqualified goods are placed in the damage reporting bin;
the results of warehousing examination and investigation are stored in the data storage module, and the cloud computing module is used for computing, analyzing and comparing the data, so that the warehousing time, the warehousing damage reporting rate, the storage time and the storage damage reporting rate are displayed on a computer.
5. The cloud platform-based big data warehousing management system as claimed in claim 1, wherein the returned goods are subject to warehousing inspection and enter a warehouse, the computer checks the quantity of the goods for prompt reissue, and the sales warehouse reissues the corresponding quantity of goods.
6. The cloud platform-based big data warehousing management system as claimed in claim 5, wherein when returned goods enter the warehouse again, the returned goods are firstly subjected to warehousing inspection, scanned and enter a sales warehouse after being detected to be qualified, the goods detected to be unqualified enter a loss reporting warehouse after being scanned by a laser scanner, the returned data enter a cloud computing module through a data storage module, the returned quantity is checked by a computer, the sales warehouse is prompted to reissue the quantity of goods, and the sales warehouse reissues the corresponding quantity of goods.
7. The cloud platform-based big data warehousing management system as claimed in claim 1, wherein the data storage module records warehousing entrance prices and warehousing sales prices, and makes sales choices for clearing inventory or increasing profit according to the inventory and sales conditions, and the cloud computing module makes final selling prices by combining the warehousing entrance prices, the warehousing sales prices and the real-time sales prices.
8. The cloud platform-based big data warehousing management system as claimed in claim 7, wherein the real-time selling price is larger than the warehousing selling price, the stock is stocked more, and the selling amount is on the rising trend, the profit sale is increased, and the selling price is increased by 10% on the basis of the real-time selling price;
and the real-time selling price is less than the warehousing selling price, the daily selling amount is in a descending trend, inventory cleaning and selling are selected, and 40% of the difference between the real-time selling price and the warehousing selling price is added into the warehouse for pricing and selling, so that the aim of cleaning the inventory is fulfilled.
9. The cloud platform-based big data warehousing management system according to claim 1, wherein the flow of the festivals into and out of the warehouse is as follows:
s1, placing orders and feeding goods through a computer before holiday days, wherein the feeding quantity is increased by 20% on the basis of sales volume of the previous year;
s2, after warehousing and inspection, the festivals are scanned by a laser scanner and then stored in a warehouse;
s3, warehousing goods to a price three times of the price of the purchase price before three days;
and S4, performing statistical calculation through the cloud computing module according to the sales records of the festival before three days within three days before the festival, performing replenishment and price selling on products with better sales, and enabling products with poor sales to enter a gift warehouse for purchase and presentation.
10. The cloud platform-based big data warehousing management system of claim 9, wherein after the code-saving goods are warehoused and inspected, qualified goods enter a selling bin, and unqualified products enter a gift bin;
the sales volume of the festoon goods before the goods are put in storage for three days is less than 5% of the stock, and the goods less than 1% of the total stock are put into the gift box.
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| CN112330871A (en) * | 2020-11-04 | 2021-02-05 | 熵基科技股份有限公司 | Warehouse management method and device |
| CN112700186A (en) * | 2020-12-28 | 2021-04-23 | 中通服供应链管理有限公司 | Management system based on logistics supply chain |
| CN113065828A (en) * | 2021-04-13 | 2021-07-02 | 武汉阿杜拉电子商务有限公司 | Intelligent management, analysis and scheduling method for commodity inventory based on data cloud storage analysis |
| CN113487177A (en) * | 2021-07-04 | 2021-10-08 | 杭州晶志康电子科技有限公司 | Material management system and management method |
| CN114254974A (en) * | 2021-12-16 | 2022-03-29 | 北京云迹科技股份有限公司 | Inventory management method and system based on automatic container machine |
| CN115099689A (en) * | 2022-07-19 | 2022-09-23 | 猫幼时空(武汉)动漫文化传播有限公司 | Cross-border e-commerce platform service management system |
| CN117575372A (en) * | 2024-01-16 | 2024-02-20 | 湘江实验室 | Knowledge graph-based supply chain quality management system |
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- 2020-07-08 CN CN202010650741.XA patent/CN111784257A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112330871A (en) * | 2020-11-04 | 2021-02-05 | 熵基科技股份有限公司 | Warehouse management method and device |
| CN112700186A (en) * | 2020-12-28 | 2021-04-23 | 中通服供应链管理有限公司 | Management system based on logistics supply chain |
| CN113065828A (en) * | 2021-04-13 | 2021-07-02 | 武汉阿杜拉电子商务有限公司 | Intelligent management, analysis and scheduling method for commodity inventory based on data cloud storage analysis |
| CN113487177A (en) * | 2021-07-04 | 2021-10-08 | 杭州晶志康电子科技有限公司 | Material management system and management method |
| CN114254974A (en) * | 2021-12-16 | 2022-03-29 | 北京云迹科技股份有限公司 | Inventory management method and system based on automatic container machine |
| CN115099689A (en) * | 2022-07-19 | 2022-09-23 | 猫幼时空(武汉)动漫文化传播有限公司 | Cross-border e-commerce platform service management system |
| CN117575372A (en) * | 2024-01-16 | 2024-02-20 | 湘江实验室 | Knowledge graph-based supply chain quality management system |
| CN117575372B (en) * | 2024-01-16 | 2024-04-12 | 湘江实验室 | Knowledge graph-based supply chain quality management system |
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