CN110599067A - Storage allocation method, storage medium and electronic equipment - Google Patents
Storage allocation method, storage medium and electronic equipment Download PDFInfo
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Abstract
The present disclosure provides a storage allocation method, a storage medium, and an electronic device, where the method includes: the method comprises the steps of processing historical goods in-out warehouse data and goods planning information to obtain warehouse storage rules, generating a warehousing scheme of goods to be warehoused according to the warehouse storage rules, goods information of the goods to be warehoused and warehouse location information of a warehouse, controlling goods handling equipment to store the goods to be warehoused in the storage warehouse location indicated by the warehousing scheme according to the warehousing scheme, and updating the warehouse location information and the historical goods in-out warehouse data. Through the arrangement, the problem that storage warehouse position allocation is not flexible enough due to fixed warehouse storage rules is solved, the problem that the fixed warehouse storage rules cannot completely adapt to storage requirements of different goods is avoided, and the utilization rate and the adaptability of the warehouse are effectively improved.
Description
Technical Field
The disclosure relates to the technical field of intelligent warehousing, and in particular relates to a warehousing allocation method, a storage medium and electronic equipment.
Background
In recent years, the warehousing industry of China is rapidly developed, and with the rapid increase of the number of online shopping, online payment and mobile electronic merchants, more and more enterprises begin to greatly advance to the military warehousing industry. The number of warehousing enterprises in China reaches 17416 at the end of 2008, the number of workers in the warehousing industry reaches 51.1 ten thousand, and the business income of the warehousing industry reaches 3020.9 million yuan. The investment amount of the fixed assets of the warehousing industry in 2009 reaches 1766 million yuan, and the increase value reaches 1737 million yuan. In 2010, the area of a newly-built warehouse reaches 213 ten thousand square meters, and is increased by 70 ten thousand square meters compared with 2009. As can be seen from the above data, more and more logistics enterprises recognize that without a strong warehouse resource network and the ability to manage logistics warehouses, they are difficult to develop into competitive large logistics enterprises. As a result, a large number of enterprises are beginning to expand modern "warehousing" businesses. Today, modern "warehousing" is no longer "warehousing" in the traditional sense, but warehousing in the context of the integration of the economic globalization with the supply chain, which is warehousing in modern logistics systems, it represents an activity or a process, a logistics activity that uses modern technology to effectively plan, execute and control the entry and exit, inventory, sorting, packaging, delivery of items and their information in specific tangible or intangible locations, with the purpose of satisfying the requirements upstream and downstream of the supply chain.
However, according to research, in the current warehousing industry, a fixed warehouse storage rule is generally adopted for storing goods, which may cause that the allocation of storage warehouse positions is not flexible enough, thereby causing the problems of waste of warehousing storage space and low utilization rate of warehouses. And because different goods are different in size and requirement for the space of storage, the fixed warehouse storage rule can not adapt to the storage demand of different goods completely, this has also caused the not high problem of adaptability of warehouse to different goods inadequately.
Content of application
The storage allocation method, the storage medium and the electronic device solve the problem that storage position allocation is not flexible enough due to fixed storage rules in the storage industry by dynamically updating the storage rules of the warehouse, so that the utilization rate of the warehouse is effectively improved.
In a first aspect, the present disclosure provides a method for warehousing, comprising:
processing historical goods in-out warehouse data and goods plan information to obtain warehouse storage rules;
generating a warehousing scheme of the goods to be warehoused according to the warehouse storage rule, the goods information of the goods to be warehoused and the warehouse location information of the warehouse;
controlling the goods handling equipment to store the goods to be warehoused in the storage warehouse position indicated by the warehousing scheme according to the warehousing scheme;
and updating the warehouse location information and the historical goods warehouse-in and warehouse-out data.
Preferably, the warehouse storage rule includes key event information, and the method further includes:
judging whether the storage indexes of the warehouse meet the triggering conditions in the key event information;
and when the storage indexes of the warehouse meet the triggering conditions in the key event information, generating early warning information, and adjusting the position of the goods in the warehouse according to the goods arrangement rules corresponding to the key event information.
Preferably, the warehousing index includes warehousing quantity, and when the warehousing index of the warehouse meets the triggering condition in the key event information, the early warning information is generated, including:
comparing the warehousing quantity and the ex-warehouse quantity of the warehouse;
and when the warehousing quantity of the warehouse is continuously larger than the ex-warehouse quantity and the duration time is larger than a preset value, generating early warning information.
Preferably, the method further comprises:
acquiring the cargo information of the cargo to be warehoused;
judging whether the cargo information of the cargo to be warehoused belongs to the cargo information in the historical cargo warehousing and ex-warehousing data;
and if not, adding the cargo information of the cargo to be warehoused into the historical cargo warehousing-ex-warehouse data, and generating a warehousing scheme of the cargo to be warehoused according to the warehouse storage rule, the cargo information of the cargo to be warehoused and the warehouse position allowance of the warehouse.
Preferably, the method further comprises:
acquiring a storage position of goods to be delivered out of a warehouse, and sending the storage position to the goods handling equipment so that the goods handling equipment can move the goods to be delivered out of the warehouse;
and after the goods are delivered out of the warehouse, updating the warehouse location information and the historical goods delivery and delivery data according to the storage warehouse location of the goods to be delivered out of the warehouse.
Preferably, the method further comprises:
when receiving temporary warehousing requirement information, generating a temporary warehousing scheme according to the temporary warehousing requirement information and warehouse location information of a warehouse;
and storing the goods to be warehoused corresponding to the temporary warehousing demand information in a storage warehouse position indicated in the temporary warehousing scheme, and updating the warehouse position information and historical goods warehousing-in and warehousing-out data.
Preferably, the method further comprises:
when detecting that the goods with the same goods model are placed in the storage positions of different areas, generating a goods transfer instruction;
and sending the cargo transfer instruction to the cargo carrying equipment so as to control the cargo carrying equipment to transfer the cargos with the same model to the storage warehouse location in the same area.
Preferably, the controlling the goods handling equipment to store the goods to be warehoused in the storage warehouse location indicated by the warehousing scheme according to the warehousing scheme includes:
generating a warehousing instruction comprising a warehousing path according to the storage warehouse position indicated by the warehousing scheme;
and sending the warehousing instruction to the goods carrying equipment so that the goods to be warehoused are moved to the storage warehouse position indicated by the warehousing scheme by the goods carrying equipment according to the warehousing path in the warehousing instruction.
In a second aspect, the present disclosure provides a storage medium having stored thereon a computer program executable by one or more processors to implement the warehouse fitting method as described in any one of the first aspects above.
In a third aspect, the present disclosure provides an electronic device, which includes a memory, a processor, and a program code stored on the memory and executable on the processor, wherein when the program code is executed by the processor, the warehouse fitting method according to any one of the first aspect is implemented.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
according to the method, warehouse storage rules are obtained by processing historical goods in-out warehouse data and goods plan information, a warehouse entry scheme of goods to be warehoused is generated according to the warehouse storage rules, goods information of the goods to be warehoused and warehouse location information of a warehouse, goods handling equipment is controlled to store the goods to be warehoused in the storage warehouse location indicated by the warehouse entry scheme according to the warehouse entry scheme, and the warehouse location information and the historical goods in-out warehouse data are updated. Through the arrangement, the problem that storage warehouse position allocation is not flexible enough due to fixed warehouse storage rules is solved, the problem that the fixed warehouse storage rules cannot completely adapt to storage requirements of different goods is avoided, and the utilization rate and the adaptability of the warehouse are effectively improved.
Drawings
The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a warehouse allocation method provided by the present disclosure.
Fig. 2 is a schematic flow chart of another warehousing allocation method provided by the present disclosure.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
Embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and examples, so that how to apply technical means to solve technical problems and achieve the corresponding technical effects can be fully understood and implemented. Various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the disclosure. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the related technology, the intelligent warehousing system allocates storage warehouse positions for goods to be warehoused through fixed warehouse storage rules, so that the goods are intelligently stored.
The inventor of the present disclosure finds that the fixed warehouse storage rule cannot completely meet the storage requirements of different goods, the storage of the goods is very complex, and the fixed warehouse storage rule cannot completely adapt to the complexity. Therefore, the warehouse storage rules need to be optimized urgently to solve the problem that goods cannot be stored reasonably due to the fixed warehouse storage rules, so that the utilization rate of the warehouse and the storage flexibility are improved.
Example one
Referring to fig. 1 and fig. 2, the present disclosure provides a method for allocating warehouses to solve the problems of low warehouse utilization and insufficient warehouse satisfaction for the storage requirement of goods due to the fixed warehouse storage rules in the prior art. Fig. 1 is a schematic flow chart of a warehouse allocation method provided by the present disclosure, and as shown in fig. 1, the warehouse allocation method includes steps S110 to S140.
In step S110, the historical cargo warehousing and ex-warehousing data and the cargo planning information are processed to obtain warehouse storage rules.
And analyzing and processing the historical goods in-and-out-of-warehouse data and the goods planning information through a preset algorithm to create a warehouse storage rule, and if the warehouse storage rule is found to exist when being created, only updating the warehouse storage rule, without additionally creating a new warehouse storage rule.
The preset algorithm may be, but is not limited to, a classification decision tree algorithm, a regression analysis algorithm, a maximum expectation algorithm, and a clustering algorithm, and is not specifically limited herein and may be set according to actual requirements.
The historical cargo warehousing data can comprise cargo information, cargo warehousing time and cargo warehousing quantity.
The goods planning information may include goods production planning information and goods sales planning information.
The warehouse storage rules may include key event information, storage areas, storage types, and storage arrangements for different cargo classifications.
In step S120, a warehousing scheme of the goods to be warehoused is generated according to the warehouse storage rule, the goods information of the goods to be warehoused, and the warehouse location information of the warehouse.
And reasonably allocating storage positions for the goods to be warehoused according to the warehouse storage rule by analyzing the goods information of the goods to be warehoused and the position information of the warehouse and combining a preset optimal path algorithm, and forming an optimal warehousing path.
In this embodiment, the preset optimal path algorithm is Dijkstra algorithm.
The goods information can comprise the external packing size of the goods, the maximum allowable stacking layer number of the goods, the quantity of the same goods which are put in storage, the delivery date and the like.
The warehousing scheme may include storage warehouse location, goods arrangement mode information, warehousing path information, stacking layer number information, and the like.
It should be noted that, when the historical goods in-and-out data does not include the goods information of the goods to be warehoused, the goods information of the goods to be warehoused needs to be acquired in a preset mode. The reason is that the type of the goods to be warehoused may be stored by entering the warehouse for the first time, and the goods information of the goods to be warehoused does not exist in the goods information of the historical goods warehousing-in and warehousing-out data before the storage. The method comprises the steps of obtaining goods information of goods to be warehoused, judging whether the goods information belongs to goods information in the goods warehousing-in and warehousing-out information or not, adding the goods information into historical goods warehousing-in and warehousing-out data when the goods information does not belong to the goods information in the goods warehousing-in and warehousing-out information, and generating a warehousing scheme of the goods to be warehoused according to warehouse storage rules, the goods information of the goods to be warehoused and the warehouse position allowance of a warehouse.
The preset mode can be, but is not limited to, a two-dimensional code scanning mode, a manual entry mode and a bar code scanning mode, and is not specifically limited herein and can be set according to actual requirements.
In this embodiment, the preset mode is a two-dimensional code scanning mode, and the warehousing staff can acquire the goods information of the goods to be warehoused by easily scanning the two-dimensional code, so that the convenience of inputting the goods information to be warehoused is improved.
In step S130, controlling the cargo handling equipment to store the cargo to be warehoused in the storage bay indicated by the warehousing scheme according to the warehousing scheme.
Generating a warehousing instruction comprising a warehousing path according to the storage warehouse location indicated by the warehousing scheme, sending the warehousing instruction to the goods handling equipment, generating confirmation information by the goods handling equipment when receiving the warehousing instruction, and returning the confirmation information to an interface of the intelligent warehousing system to remind an administrator to perform confirmation operation; and when a confirmation instruction input by an administrator is received, the goods carrying equipment carries the goods to be warehoused to the storage warehouse position indicated by the warehousing scheme according to the warehousing path in the warehousing instruction.
The cargo handling equipment can be but is not limited to automatic forklifts, small-sized trolleys and small-sized trucks, is not particularly limited and can be set according to actual requirements.
In this embodiment, the load handling apparatus is an automatic forklift.
Therefore, the goods handling equipment effectively improves the efficiency of goods handling according to the mode of carrying goods in the warehousing scheme, greatly reduces the dependence of goods handling on people in the warehousing process, effectively saves human resources and improves the working efficiency.
In step S140, the storage location information and the historical cargo warehousing and ex-warehouse data are updated.
After the goods to be warehoused are transported to the storage position indicated by the warehousing scheme by the goods transporting equipment, the position information is updated according to the storage position indicated by the warehousing scheme, historical goods warehousing-in and warehousing-out data is updated according to the goods information of the goods to be warehoused, and the updated historical goods warehousing-in and warehousing-out data participates in updating the warehouse storage rule, so that the warehouse can better adapt to the storage requirements of different goods or different requirements.
In order to avoid the occurrence of a bin burst situation, a key event is further defined in the embodiment, and key event information is formulated in the warehouse storage rule; the system adjusts the storage position of the key event by judging whether the storage index of the warehouse meets the trigger condition corresponding to the key event of different types in the key event information, and when the storage index meets the trigger condition corresponding to the key event of a certain type in the key event information, the system generates early warning information to prompt a warehouse manager of the possible forthcoming explosion of the warehouse and adjusts the storage position of the goods in the warehouse according to the goods arrangement rule corresponding to the key event of the type. And when the warehousing index does not meet the triggering condition corresponding to any type of key event in the key event information, the warehouse only needs to carry out normal goods warehousing and ex-warehousing work.
The storage index may be, but is not limited to, storage amount or storage time, and is not specifically limited herein, and may be set according to actual requirements.
The key event information may include key event types, trigger conditions corresponding to different types of key events, and cargo arrangement rules corresponding to different types of key events.
The key event types can be, but are not limited to, off-season warehousing events, high-season warehousing events, specific festival warehousing events, bin explosion events and extreme weather warehousing events, and are not specifically limited herein and may be set according to actual requirements.
The cargo arrangement rules may be, but are not limited to, a cargo tight arrangement mode, a cargo loose arrangement mode, and an arrangement rule for avoiding an affected area in extreme weather, and are not specifically limited herein, and may be set according to actual requirements.
When the warehousing indexes comprise warehouse storage amount and the key events comprise warehouse explosion events, acquiring triggering conditions corresponding to the warehouse explosion events and goods arrangement rules corresponding to the warehouse explosion events, comparing warehouse-in amount and warehouse-out amount of a warehouse, and when the warehouse-in amount is continuously larger than the warehouse-out amount and the duration is larger than a preset value, generating early warning information to prompt a warehouse manager to process possible warehouse explosion conditions in advance, at the moment, the warehouse manager can contact a new warehouse to store goods, and the goods handling equipment can adjust the positions of the goods in the warehouse according to the goods arrangement rules corresponding to the warehouse explosion events so as to put down more goods as far as possible.
The preset value may be, but is not limited to, 10 hours, 2 days, and one week, and is not specifically limited herein and may be set according to actual requirements.
When the warehousing index comprises warehousing time and the key event comprises a specific festival warehousing event, acquiring a trigger condition corresponding to the specific festival warehousing event and a goods arrangement rule corresponding to the specific festival warehousing event, generating early warning information once the current time reaches the time specified by the trigger condition corresponding to the specific festival warehousing event (the time specified by the trigger condition needs to be set before the specific festival corresponding to the specific festival event), and adjusting goods in the warehouse according to the goods arrangement rule corresponding to the specific festival warehousing event.
For example, if there exists a specific festival warehousing event with "double 11" content, the triggering condition corresponding to the specific festival warehousing event is "eight am in 1 am in 11", the goods arrangement rule corresponding to the specific festival warehousing event is "closely arranged and stores the goods exceeding the current storage amount of the warehouse into the standby warehouse", when the time reaches eight am in 1 am in 11 months, the system will generate the early warning information to remind the warehouse administrator to prepare additional inventory and clear the overstocked goods in the current inventory, and the goods storage in the warehouse is adjusted in advance according to the closely arranged storage rule.
Therefore, by formulating the storage rules of the key events, the early warning is carried out on the accident situation and the explosion bin in advance, and the bin position of the goods in the bin is adjusted according to the storage rules corresponding to the key events of different types, so that the explosion bin situation is effectively reduced.
In the warehousing process, some temporary warehousing requirements are inevitably met, at this time, in order to prevent that the storage warehouse location is allocated too far or is not easy to carry for the goods to be warehoused corresponding to the temporary requirements, a manual warehousing scheme adjustment interface is reserved in the embodiment, when warehousing requirement information is received, whether the warehousing requirement information is temporary warehousing requirement information is judged, when the warehousing requirement information is the temporary warehousing information, path planning and storage warehouse location allocation are not performed, and the storage warehouse location is adjusted after the warehouse location information is re-evaluated directly through manual designation or an intelligent warehousing system.
The temporary demand refers to a warehousing demand in which goods are only temporarily held in a warehouse and will be delivered soon (e.g., within hours or days).
When goods are delivered out of a warehouse, a storage position of the goods to be delivered out of the warehouse is required to be acquired, the storage position and a delivery instruction are sent to the goods handling equipment, the goods delivery out of the warehouse is confirmed after confirmation information sent by the goods handling equipment for the goods to be delivered out of the warehouse is received, and the storage position of the goods to be delivered out of the warehouse is recycled after the goods to be delivered out of the warehouse is delivered out of the warehouse, so that the storage position is added into the position information.
Therefore, the storage position after the goods are delivered out of the warehouse is timely recovered, and the referenced warehouse position information is ensured to be up-to-date when the warehousing scheme is planned for the goods to be warehoused; and effectively avoids the problem that the storage library bit is omitted.
It should be noted that at least one goods can be stored in one storage position in the warehouse, and therefore, when the goods stored in the warehouse are not filled in one storage position, the goods stored in the warehouse may be stored in a new storage position, so that the goods are stored too dispersedly. Therefore, in the whole life cycle from warehousing to ex-warehousing of goods, the intelligent warehousing system monitors warehousing conditions at any time, when goods with the same goods model are detected to be placed in the storage warehouse positions in different areas, a goods transfer instruction is generated, and the goods transfer instruction is sent to the goods carrying equipment so as to control the goods carrying equipment to transfer the goods with the same model to the storage warehouse positions in the same area. Wherein the cargo transfer task comprises a transfer instruction and new storage location information.
For example, the goods a and the goods B having the same goods model are respectively stored in the storage spaces of two regions which are distant from each other, if the checking work of the different regions is performed by different workers, at this time, if there is a demand for manually counting the total quantity of the goods of the type of the goods, the total quantity of the goods of the type of the goods can be obtained only by counting after the counting by the staff in different areas is completed, so that the work flow becomes complicated, and assuming that the checking work of one worker has errors, the final result will have errors, thus, the probability of error points in the checking work is greatly increased, and the system is required to automatically summarize the dispersion degree of the goods with the same goods type in the warehouse, and controlling the automatic forklift to finish transporting the goods A to the storage warehouse location of the area where the goods B are located by generating a transfer instruction. From this, solve the too dispersed problem that the goods of the same goods model was put, improved the convenience that the goods of the same model counted and carried effectively.
By applying the warehousing and allocation method disclosed by the invention, historical goods in-and-out warehouse data and goods plan information can be processed, to obtain warehouse storage rules, generating a warehousing scheme of the goods to be warehoused according to the warehouse storage rules, the goods information of the goods to be warehoused and the warehouse location information of the warehouse, controlling the goods handling equipment to store the goods to be warehoused in the storage warehouse location indicated by the warehousing scheme according to the warehousing scheme, and updating the warehouse location information and the historical goods warehousing-in and warehousing-out data, and the updated historical goods in-out database will participate in the updating of the warehouse storage rule again regularly, thereby solving the problem of inflexible allocation of storage base bits caused by fixed storage rules of the warehouse, the problem that the fixed warehouse storage rule cannot completely meet the storage requirements of different goods is solved, and the utilization rate and the adaptability of the warehouse are effectively improved.
Example two
The present embodiment provides a storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., having stored thereon a computer program which, when executed by a processor, implements the method steps of:
processing historical goods in-out warehouse data and goods plan information to obtain warehouse storage rules;
generating a warehousing scheme of the goods to be warehoused according to the warehouse storage rule, the goods information of the goods to be warehoused and the warehouse location information of the warehouse;
and according to the warehousing scheme, storing the goods to be warehoused in the storage warehouse position indicated by the warehousing scheme, and updating the warehouse position information and historical goods warehousing-in and warehousing-out data.
The specific embodiment of the storage allocation method of the present disclosure may be referred to for the specific embodiment of the above method steps, and will not be described herein again.
EXAMPLE III
The present embodiment provides an electronic device, where the electronic device includes a memory, a processor, and a program code stored in the memory and executable on the processor, and when the program code is executed by the processor, the steps of the warehouse allocation method according to any one of the above-mentioned optional embodiments are implemented.
The method implemented when the computer program of the warehouse allocation method run on the processor is executed may refer to the specific embodiment of the warehouse allocation method disclosed herein, and details thereof are not repeated herein.
The processor may be an integrated circuit chip having information processing capabilities. The processor may be a general-purpose processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like.
It should be understood that the disclosed methods and apparatus may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Although the embodiments disclosed in the present disclosure are described above, the descriptions are only for the convenience of understanding the present disclosure, and are not intended to limit the present disclosure. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure, and that the scope of the disclosure is to be limited only by the appended claims.
Claims (10)
1. A method of warehousing, comprising:
processing historical goods in-out warehouse data and goods plan information to obtain warehouse storage rules;
generating a warehousing scheme of the goods to be warehoused according to the warehouse storage rule, the goods information of the goods to be warehoused and the warehouse location information of the warehouse;
controlling the goods handling equipment to store the goods to be warehoused in the storage warehouse position indicated by the warehousing scheme according to the warehousing scheme;
and updating the warehouse location information and the historical goods warehouse-in and warehouse-out data.
2. The warehouse deployment method of claim 1, wherein the warehouse storage rules include critical event information, the method further comprising:
judging whether the storage indexes of the warehouse meet the triggering conditions in the key event information;
and when the storage indexes of the warehouse meet the triggering conditions in the key event information, generating early warning information, and adjusting the position of the goods in the warehouse according to the goods arrangement rules corresponding to the key event information.
3. The warehouse deployment method according to claim 2, wherein the warehouse index comprises warehouse storage amount, and when the warehouse index of the warehouse meets the trigger condition in the key event information, the generating of the early warning information comprises:
comparing the warehousing quantity and the ex-warehouse quantity of the warehouse;
and when the warehousing quantity of the warehouse is continuously larger than the ex-warehouse quantity and the duration time is larger than a preset value, generating early warning information.
4. The warehouse fitting method of claim 1, wherein the method further comprises:
acquiring the cargo information of the cargo to be warehoused;
judging whether the cargo information of the cargo to be warehoused belongs to the cargo information in the historical cargo warehousing and ex-warehousing data;
and if not, adding the cargo information of the cargo to be warehoused into the historical cargo warehousing-ex-warehouse data, and generating a warehousing scheme of the cargo to be warehoused according to the warehouse storage rule, the cargo information of the cargo to be warehoused and the warehouse position allowance of the warehouse.
5. The warehouse fitting method of claim 1, wherein the method further comprises:
acquiring a storage position of goods to be delivered out of a warehouse, and sending the storage position to the goods handling equipment so that the goods handling equipment can move the goods to be delivered out of the warehouse;
and after the goods are delivered out of the warehouse, updating the warehouse location information and the historical goods delivery and delivery data according to the storage warehouse location of the goods to be delivered out of the warehouse.
6. The warehouse fitting method of claim 1, wherein the method further comprises:
when receiving temporary warehousing requirement information, generating a temporary warehousing scheme according to the temporary warehousing requirement information and warehouse location information of a warehouse;
and storing the goods to be warehoused corresponding to the temporary warehousing demand information in a storage warehouse position indicated in the temporary warehousing scheme, and updating the warehouse position information and historical goods warehousing-in and warehousing-out data.
7. The warehouse fitting method of claim 1, wherein the method further comprises:
when detecting that the goods with the same goods model are placed in the storage positions of different areas, generating a goods transfer instruction;
and sending the cargo transfer instruction to the cargo carrying equipment so as to control the cargo carrying equipment to transfer the cargos with the same model to the storage warehouse location in the same area.
8. The warehousing allocation method according to claim 1, wherein controlling the goods handling equipment to store the goods to be warehoused in the storage bay position indicated by the warehousing scheme according to the warehousing scheme comprises:
generating a warehousing instruction comprising a warehousing path according to the storage warehouse position indicated by the warehousing scheme;
and sending the warehousing instruction to the goods carrying equipment so that the goods to be warehoused are moved to the storage warehouse position indicated by the warehousing scheme by the goods carrying equipment according to the warehousing path in the warehousing instruction.
9. A storage medium having stored thereon a computer program executable by one or more processors to implement a warehouse fitting method as claimed in any one of claims 1 to 8.
10. An electronic device comprising a memory, a processor, and program code stored on the memory and executable on the processor, wherein the program code, when executed by the processor, implements the warehouse fitting method according to any of claims 1 to 8.
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|---|---|---|---|---|
| CN111782646A (en) * | 2020-05-19 | 2020-10-16 | 浙江数链科技有限公司 | Method, system, computer device and readable storage medium for library bit allocation |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701631A (en) * | 2016-01-06 | 2016-06-22 | 北京京东尚科信息技术有限公司 | Commodity warehousing method and warehouse management system |
| US20160247108A1 (en) * | 2015-02-20 | 2016-08-25 | Oracle International Corporation | Inventory-based warehouse allocation for retail items |
| CN106934579A (en) * | 2017-03-20 | 2017-07-07 | 南京医科大学第附属医院 | The control method of the automated storage and retrieval system based on unmanned plane |
-
2019
- 2019-09-27 CN CN201910929453.5A patent/CN110599067A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160247108A1 (en) * | 2015-02-20 | 2016-08-25 | Oracle International Corporation | Inventory-based warehouse allocation for retail items |
| CN105701631A (en) * | 2016-01-06 | 2016-06-22 | 北京京东尚科信息技术有限公司 | Commodity warehousing method and warehouse management system |
| CN106934579A (en) * | 2017-03-20 | 2017-07-07 | 南京医科大学第附属医院 | The control method of the automated storage and retrieval system based on unmanned plane |
Cited By (18)
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| CN113128820B (en) * | 2020-01-16 | 2024-03-01 | 北京京东振世信息技术有限公司 | Method, apparatus, device and computer readable medium for evaluating warehouse adjustment plans |
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| CN114936830A (en) * | 2022-07-27 | 2022-08-23 | 四川金叶生物防治有限公司 | Warehouse management method and system based on Internet of things technology |
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