CN115983771A - Inventory state adjusting system, method, electronic equipment and storage medium - Google Patents
Inventory state adjusting system, method, electronic equipment and storage medium Download PDFInfo
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- CN115983771A CN115983771A CN202310268063.4A CN202310268063A CN115983771A CN 115983771 A CN115983771 A CN 115983771A CN 202310268063 A CN202310268063 A CN 202310268063A CN 115983771 A CN115983771 A CN 115983771A
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Abstract
The application relates to a stock state adjusting system, a method, an electronic device and a storage medium, belonging to the technical field of data processing, wherein the system comprises a scanning terminal and an adjusting terminal; the scanning terminal is used for acquiring service data from the digital warehouse; the adjusting terminal is in communication connection with the scanning terminal, the scanning terminal or the adjusting terminal is used for judging whether the service data is abnormal data or not, if the service data is abnormal data, the adjusting terminal matches the corresponding abnormal data type for the abnormal data, outputs a processing instruction to the ERP system or the WMS system according to the abnormal data type, and receives a result instruction returned by the ERP system or the WMS system to generate an inventory adjusting list. The method and the device have the effect of improving the efficiency of changing the database.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a system and a method for adjusting an inventory status, an electronic device, and a storage medium.
Background
In order to realize informatization management, an enterprise at present is often provided with an ERP system, a WMS system and a digital warehouse, and an enterprise manager can change data in the digital warehouse through the ERP system and the WMS system.
The digital warehouse stores massive data such as business data, employee data and client data of enterprises. For the employee data and the customer data, the relevant data in the digital warehouse can be changed in time due to the fact that a special department (such as a human resource department) monitors the data. For the service data, the service changes in real time, so the change frequency is high, the personnel participating in the service data are wide, and the change time is long.
Disclosure of Invention
The application provides a system and a method for adjusting the stock state, an electronic device and a storage medium, which have the characteristic of improving the efficiency of changing a database.
The utility model aims at providing an inventory condition adjustment system.
The above object of the present application is achieved by the following technical solutions:
a stock state adjusting system comprises a scanning terminal and an adjusting terminal;
the scanning terminal is used for acquiring service data from the digital warehouse;
the adjusting terminal is in communication connection with the scanning terminal, the scanning terminal or the adjusting terminal is used for judging whether the service data is abnormal data or not, if the service data is abnormal data, the adjusting terminal matches the corresponding abnormal data type for the abnormal data, outputs a processing instruction to the ERP system or the WMS system according to the abnormal data type, and receives a result instruction returned by the ERP system or the WMS system to generate an inventory adjusting list.
The present application may be further configured in a preferred example to: the abnormal data types comprise unqualified products and incorrect products;
the product being off-spec comprises: the environmental parameters of the product do not reach the storage standard, and the product exceeds the shelf life range;
the product is incorrect: the same product, the place in the business data is different from place in the storage table; the storage table is a pre-stored table.
The application may be further configured in a preferred example to: the scanning terminal is configured to:
acquiring service data, wherein the service data comprises the name of a product, the placement position of the product, the production date of the product and the environmental parameters of the product;
and when the placement positions of the same product in the business data and the placement positions in the storage table are different and/or the environmental parameters of the product do not meet the storage standard and/or the product is beyond the shelf life range, marking the business data as abnormal data.
The present application may be further configured in a preferred example to: the adjustment terminal is configured to:
acquiring service data uploaded by a scanning terminal, wherein the service data comprises the name of a product, the placement position of the product, the production date of the product and the environmental parameters of the product;
and when the placement positions of the same product in the business data and the placement positions in the storage table are different and/or the environmental parameters of the product do not meet the storage standard and/or the product is beyond the shelf life range, marking the business data as abnormal data.
The present application may be further configured in a preferred example to: the adjustment terminal is further configured to: matching corresponding abnormal data types for the abnormal data, comprising:
when the placing positions of the same products in the service data are different from the placing positions in the storage table, the abnormal data are matched to the products which are incorrect;
and when the environmental parameters of the product do not meet the storage standard and/or the product exceeds the shelf life range, matching the abnormal data with the product to be unqualified.
The present application may be further configured in a preferred example to: the adjusting terminal comprises a data acquisition module, a data analysis module and a data processing module;
the data acquisition module is in communication connection with the scanning terminal and is used for receiving service data sent by the digital warehouse;
the data analysis module is in communication connection with the data acquisition module, the ERP system and the WMS system respectively, and is used for matching corresponding abnormal data types for abnormal data and outputting processing instructions to the ERP system or the WMS system;
the data processing module is respectively in communication connection with the ERP system and the WMS system, and is used for receiving a result instruction returned by the ERP system or the WMS system and generating an inventory adjustment list.
The application discloses a warehouse status adjusting system, when a scanning terminal acquires service data sent by a digital warehouse, the scanning terminal or an adjusting terminal judges whether the service data is abnormal data, and aiming at the abnormal data: and the adjusting terminal matches the abnormal data with the corresponding abnormal data type, sends a corresponding solution strategy to the ERP system or the WMS system based on the abnormal data type, and finally generates an inventory adjusting list based on the actual operation of the ERP system and the WMS system. Therefore, the method and the device can respond to the abnormal data in time and provide a corresponding solution strategy so as to achieve the purpose of rapidly changing the online and offline data of the digital warehouse.
The second purpose of the application is to provide an inventory status adjusting method.
The second application object of the present application is achieved by the following technical scheme:
an inventory state adjustment method, comprising:
acquiring service data;
judging whether the service data is abnormal data;
if yes, matching the abnormal data with the corresponding abnormal data type, outputting a processing instruction to an ERP system or a WMS system according to the abnormal data type, and receiving a result instruction returned by the ERP system or the WMS system to generate an inventory adjustment sheet;
otherwise, the service data is output to the WMS system for storage.
The application also discloses a stock state adjusting method, aiming at abnormal data, the method can respond to the abnormal data in time and give out a corresponding solving strategy so as to achieve the purpose of quickly changing the on-line data and the off-line data of the digital warehouse; and sending the normal service data to the WMS system for storage so as to facilitate subsequent management and tracing.
The third purpose of the present application is to provide an electronic device.
The third objective of the present application is achieved by the following technical solutions:
an electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to realize the inventory state adjusting method.
The fourth purpose of the present application is to provide a computer-readable storage medium capable of storing a corresponding program.
The fourth application purpose of the present application is achieved by the following technical solutions:
a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the above-mentioned inventory-state adjustment method.
In summary, the present application includes at least one of the following beneficial technical effects:
when the scanning terminal acquires the service data sent by the digital warehouse, the scanning terminal or the adjusting terminal judges whether the service data is abnormal data, and aiming at the abnormal data: and the adjusting terminal matches the abnormal data with the corresponding abnormal data type, sends a corresponding solution strategy to the ERP system or the WMS system based on the abnormal data type, and finally generates an inventory adjusting list based on the actual operation of the ERP system and the WMS system. Therefore, the method and the device can respond to the abnormal data in time and provide a corresponding solution strategy so as to achieve the purpose of rapidly changing the online data and the offline data of the digital warehouse;
the process of judging whether the service data are abnormal data can be carried out in the scanning terminal and the adjusting terminal, so that the practicability of the application is higher.
Drawings
FIG. 1 is a schematic diagram of an exemplary operating environment for an embodiment of the present application.
Fig. 2 is a block diagram of an inventory status adjustment system according to an embodiment of the present application.
Fig. 3 is a flowchart of an inventory status adjustment method according to an embodiment of the present disclosure.
Description of reference numerals: 1. an ERP system; 2. a WMS system; 3. an inventory condition adjustment system; 31. scanning a terminal; 32. adjusting the terminal; 321. a data acquisition module; 322. a data analysis module; 323. a data generation module; 4. and (4) a digital warehouse.
Detailed Description
The present embodiment is only for explaining the present application and is not limited to the present application, and those skilled in the art can make modifications without inventive contribution to the present embodiment as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic diagram of an exemplary operating environment of the present application, and referring to fig. 1, the operating environment includes an ERP system 1, a WMS system 2, an inventory state adjustment system 3, and a digital warehouse 4. The ERP system 1, the WMS system 2 and the inventory state adjusting system 3 are all in communication connection with the digital warehouse 4 through wireless networks, and the wireless networks can be wide-area internet of things systems based on communication of a 4G network, a 5G network and the like and can also be local internet of things. The inventory state adjusting system 3 is also respectively connected with the ERP system 1 and the WMS system 2 through wireless network communication.
The ERP system 1 is a management system of an enterprise, and is used for managing personnel data of the enterprise and also can be used for managing other data of the enterprise, and the ERP system 1 is an informatization system well known to those skilled in the art, and therefore, details are not described herein. Likewise, the WMS system 2 is an information system for storing and managing data, which is native to the enterprise, and will not be described herein.
The digital warehouse 4 is composed of a plurality of storage cabinets arranged side by side, and products produced by enterprises are stored in the storage cabinets. Meanwhile, a sensor unit is arranged in the storage cabinet, and the sensor unit can acquire product information and electronic equipment of environmental parameters where products are located, such as a temperature sensor, a humidity sensor and a distance sensor. Therefore, the storage cabinet has the functions of recording the name of the product, the placement position of the product, the production date of the product and the like, and also has the function of collecting the storage environment parameters of the product.
Referring to fig. 2, the inventory condition adjusting system 3 includes a scanning terminal 31 and an adjusting terminal 32, where the scanning terminal 31 refers to a smart device with rfid technology, and the shape and size of the scanning terminal 31 are not limited herein. The scanning terminal 31 and the adjusting terminal 32 perform data transmission through the 5G network. In this example, the digital warehouse 4 may be scanned by a manual handheld scanning terminal 31, or the scanning terminal 31 may be processed as an intelligent robot, and the digital warehouse 4 is autonomously scanned by the intelligent robot. The adjusting terminal 32 includes a data obtaining module 321, a data analyzing module 322, and a data generating module 323, the data obtaining module 321, the data analyzing module 322, and the data generating module 323 are connected in sequence, and meanwhile, the data obtaining module 321, the data analyzing module 322, and the data generating module 323 can be matched with each other to analyze the abnormal reason of the product when the product is abnormal, so as to provide a solution policy according to the abnormal reason of the product.
No matter manual scanning or autonomous scanning by the scanning terminal 31, when the scanning terminal 31 approaches the storage cabinet, the storage cabinet transmits the service data (including the name, the placement position, the production date and the environmental parameters) stored by the storage cabinet to the scanning terminal 31 through the radio frequency identification technology, the scanning terminal 31 judges whether the product is abnormal according to the service data, the abnormal service data is uploaded to the adjusting terminal 32, and the adjusting terminal 32 matches the corresponding solution according to the abnormal data type of the service data. Meanwhile, the scanning terminal 31 also transmits abnormal service data to the ERP system 1 and the WMS system 2, and the ERP system 1 or the WMS system 2 locks the digital warehouse 4 to prevent abnormal products from flowing out. And the normal service data is sent to the WMS system 2 for storage, so that subsequent tracing is facilitated.
The present application also provides an inventory state adjustment method, which is executed by the inventory state adjustment system 3. Specifically, the main flow of the method is described as shown in fig. 3.
Step S1: and acquiring abnormal data.
In a specific example, a storage table of the digital warehouse 4 is stored in the scanning terminal 31, when the scanning terminal 31 acquires service data sent by the storage cabinet, the name of a product is extracted, then the placement position of the product in the service data is compared with the placement position of the product in the storage table, and when the placement positions of the product in the service data and the placement position of the product in the storage table are the same, the service data is normal service data; otherwise, when the placing positions of the two are different or the placing position of the product is not contained in the storage table, the business data is marked as abnormal data. The reason why the storage table does not include the placement positions of the products is as follows: when the products are sold, the placing positions of the sold products in the storage table are manually deleted, and if the products are omitted or taken by mistake during shipment, the problem that the placing positions of the products are not contained in the storage table occurs.
Meanwhile, the storage standard of each product is stored in the scanning terminal 31, so that after the name of the product is extracted, whether the environmental parameter of the product reaches the storage standard is judged, and if yes, the service data is marked as normal service data; otherwise, the service data is marked as abnormal data. For example, the ice cream is kept at a temperature of-20 °, when the ice cream is at a temperature higher than 0 °, the ice cream will melt, and the quality of the ice cream is considered to be not good, and the service data needs to be marked as abnormal data, so as to lock the ice cream to prevent it from flowing out of the digital warehouse 4.
In addition, the scanning terminal 31 also stores the shelf life of each product, so after the name of the product is extracted, whether the product is still in the shelf life is judged according to the production date and the shelf life of the product, if yes, the service data is marked as normal service data, and if not, the service data is marked as abnormal data.
In other examples, the scanning terminal 31 may also have other determination functions, for example, for policy reasons, a batch of products is to be shelved, and a shelf list is generated according to the batch of products shelved, and the shelf list is stored in the scanning terminal 31. When the scanning terminal 31 scans the digital warehouse 4, the scanned products are located in the off-shelf list, and the service data is also marked as abnormal data.
In general, when the scanning terminal 31 acquires the service data from the digital warehouse 4 by using the radio frequency identification technology, it is determined whether the placement position of the product is correct, whether the product is still in the guarantee period, and whether the environmental parameters of the product meet the standards. If yes, the service data is transmitted to the WMS system 2 for storage, and if not, the service data is marked as abnormal data and transmitted to the adjustment terminal 32, and the adjustment terminal 32 provides a resolution policy corresponding to the abnormal product.
It should be noted that, the above process of determining whether the service data is abnormal data may also be executed by the adjusting terminal 32, and in this case, the scanning terminal 31 only has a function of acquiring the service data from the digital warehouse 4 and forwarding the service data to the adjusting terminal 32.
Step S2: and analyzing the abnormal data type.
The anomaly data types include product failures and product inaccuracies. In this example, the product failing includes: the environmental parameters of the product do not reach the storage standard, and the product exceeds the shelf life range. And the product is incorrect including: the same product, the placement position in the business data and the placement position in the storage table are different.
Therefore, when the adjustment terminal 32 acquires the abnormal data or the adjustment terminal 32 determines that the service data is the abnormal data, the corresponding abnormal data type is matched according to the determination result of the abnormal data, and a corresponding solution policy is given for each abnormal data type. For example, when the abnormal data type is that the product is not qualified, the adjustment terminal 32 sends a warehouse-out instruction to the ERP system 1, the ERP system 1 counts the unqualified product, and performs a warehouse-out operation on the unqualified product. When the abnormal data type is incorrect, the adjustment terminal 32 sends an adjustment instruction to the WMS system 2, and the WMS system 2 counts the incorrect product and performs the position switching operation on the incorrect product. The delivery command and the adjustment command output from the adjustment terminal 32 are collectively referred to as a processing command.
In general, the adjustment terminal 32 serves as a control center, and a solution policy corresponding to each type of abnormal data is stored in the adjustment terminal 32, so that when the adjustment terminal 32 acquires the abnormal data, a processing instruction can be output according to the type of the abnormal data, so as to solve the problem of abnormal products.
And step S3: and generating an inventory adjustment sheet according to the abnormal data type.
When the ERP system 1 finishes the ex-warehouse operation, a result command is returned to the adjusting terminal 32, and similarly, when the WMS system 2 finishes the position exchanging operation, a result command is also returned to the adjusting terminal 32. The adjusting terminal 32 generates an inventory adjusting list corresponding to the actual adjustment of the ERP system 1 and the WMS system 2 on the digital warehouse 4 according to the result instruction returned by the ERP system 1 and the WMS system 2, so that a user can visually check the products out of the warehouse or adjusted products.
The implementation principle of the inventory state adjustment method in the embodiment of the application is as follows: firstly, the scanning terminal 31 scans the digital warehouse 4 to obtain the service data sent by the digital warehouse 4, and then the scanning terminal 31 or the adjusting terminal 32 determines whether the service data is abnormal data. When the service data is abnormal data, the adjustment terminal 32 matches the corresponding abnormal data type for the abnormal data, sends a solution strategy to the ERP system 1 or the WMS system 2 based on the abnormal data type, and finally generates an inventory adjustment list based on the actual operation of the ERP system 1 and the WMS system 2. Therefore, the adjustment terminal 32 can respond to the abnormal data in time, give a solution strategy, and quickly change the online data (generating an inventory adjustment list) and the offline products (discharging unqualified products and adjusting the placement positions of incorrect products) of the digital warehouse 4.
In order to better execute the program of the above method, the present application also provides an electronic device comprising a memory and a processor.
Wherein the memory is operable to store an instruction, a program, code, a set of codes, or a set of instructions. The memory may include a storage program area and a storage data area, wherein the storage program area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the above-described stock state adjustment method, and the like; the storage data area may store data and the like involved in the stock state adjustment method described above.
A processor may include one or more processing cores. The processor executes the various functions of the present application and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory, invoking data stored in the memory, and so on. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It is understood that the electronic devices for implementing the above processor functions may be other devices, and the embodiments of the present application are not limited in particular.
The present application also provides a computer-readable storage medium, for example, comprising: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk. The computer-readable storage medium stores a computer program that can be loaded by a processor and executes the above-described inventory condition adjustment method.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other combinations of features described above or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (9)
1. An inventory condition adjustment system, comprising: comprises a scanning terminal (31) and an adjusting terminal (32);
the scanning terminal (31) is used for acquiring service data from the digital warehouse (4);
the adjusting terminal (32) is in communication connection with the scanning terminal (31), the scanning terminal (31) or the adjusting terminal (32) is used for judging whether the business data are abnormal data or not, if the business data are abnormal data, the adjusting terminal (32) matches corresponding abnormal data types for the abnormal data, outputs a processing instruction to the ERP system (1) or the WMS system (2) according to the abnormal data types, and receives a result instruction returned by the ERP system (1) or the WMS system (2) to generate an inventory adjusting sheet.
2. The inventory condition adjustment system according to claim 1, characterized in that: the abnormal data types comprise unqualified products and incorrect products;
the product being off-spec comprises: the environmental parameters of the product do not reach the storage standard, and the product exceeds the shelf life range;
the product is incorrect: the same product, the place in the business data is different from place in the storage table; the storage table is a pre-stored table.
3. The inventory condition adjustment system according to claim 2, characterized in that: the scanning terminal (31) is configured to:
acquiring service data, wherein the service data comprises the name of a product, the placement position of the product, the production date of the product and the environmental parameters of the product;
and when the placement positions of the same product in the business data and the placement positions in the storage table are different and/or the environmental parameters of the product do not meet the storage standard and/or the product is beyond the shelf life range, marking the business data as abnormal data.
4. The inventory condition adjustment system according to claim 2, characterized in that: the adjustment terminal (32) is configured to:
acquiring service data uploaded by a scanning terminal (31), wherein the service data comprises the name of a product, the placement position of the product, the production date of the product and the environmental parameters of the product;
and when the placement positions of the same product in the business data and the placement positions in the storage table are different and/or the environmental parameters of the product do not meet the storage standard and/or the product is beyond the shelf life range, marking the business data as abnormal data.
5. The inventory condition adjustment system according to claim 2, characterized in that: the adjustment terminal (32) is further configured to: matching corresponding abnormal data types for the abnormal data, comprising:
when the placing positions of the same products in the service data are different from the placing positions in the storage table, the abnormal data are matched with the products incorrectly;
and when the environmental parameters of the product do not meet the storage standard and/or the product exceeds the shelf life range, matching the abnormal data to disqualify the product.
6. The inventory condition adjustment system according to claim 5, characterized in that: the adjusting terminal (32) comprises a data acquisition module (321), a data analysis module (322) and a data generation module (323);
the data acquisition module (321) is in communication connection with the scanning terminal (31), and the data acquisition module (321) is used for receiving service data sent by the digital warehouse (4);
the data analysis module (322) is in communication connection with the data acquisition module (321), the ERP system (1) and the WMS system (2) respectively, and the data analysis module (322) is used for matching corresponding abnormal data types for the abnormal data and outputting processing instructions to the ERP system (1) or the WMS system (2);
the data generation module (323) is respectively in communication connection with the ERP system (1) and the WMS system (2), and the data generation module (323) is used for receiving a result instruction returned by the ERP system (1) or the WMS system (2) and generating an inventory adjustment list.
7. An inventory state adjustment method performed by the inventory state adjustment system according to any one of claims 1 to 6, characterized in that: the method comprises the following steps:
acquiring service data;
judging whether the service data is abnormal data;
if yes, matching the abnormal data with the corresponding abnormal data type, outputting a processing instruction to the ERP system (1) or the WMS system (2) according to the abnormal data type, and receiving a result instruction returned by the ERP system (1) or the WMS system (2) to generate an inventory adjustment list;
otherwise, the service data is output to the WMS system (2) for storage.
8. An electronic device, comprising a memory having stored thereon a computer program and a processor that, when executing the program, implements the method of claim 7.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of claim 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310268063.4A CN115983771A (en) | 2023-03-20 | 2023-03-20 | Inventory state adjusting system, method, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310268063.4A CN115983771A (en) | 2023-03-20 | 2023-03-20 | Inventory state adjusting system, method, electronic equipment and storage medium |
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| CN115983771A true CN115983771A (en) | 2023-04-18 |
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| CN202310268063.4A Pending CN115983771A (en) | 2023-03-20 | 2023-03-20 | Inventory state adjusting system, method, electronic equipment and storage medium |
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| CN114140045A (en) * | 2021-11-13 | 2022-03-04 | 苏州浪潮智能科技有限公司 | Material management method, system, storage medium and equipment |
| US11334846B1 (en) * | 2021-09-15 | 2022-05-17 | Fabfitfun, Inc. | Systems and computer-implemented methods for inventory management |
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2023
- 2023-03-20 CN CN202310268063.4A patent/CN115983771A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805502A (en) * | 2018-06-08 | 2018-11-13 | 网赢如意仓供应链股份有限公司 | Intelligent recognition tally method and apparatus |
| CN110909829A (en) * | 2019-09-30 | 2020-03-24 | 厦门普瑞特科技有限公司 | Production material storing and taking management method, device, equipment and system |
| US11334846B1 (en) * | 2021-09-15 | 2022-05-17 | Fabfitfun, Inc. | Systems and computer-implemented methods for inventory management |
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