CN113554377A - Task processing method and device, warehouse management system and electronic equipment - Google Patents
Task processing method and device, warehouse management system and electronic equipment Download PDFInfo
- Publication number
- CN113554377A CN113554377A CN202010334493.8A CN202010334493A CN113554377A CN 113554377 A CN113554377 A CN 113554377A CN 202010334493 A CN202010334493 A CN 202010334493A CN 113554377 A CN113554377 A CN 113554377A
- Authority
- CN
- China
- Prior art keywords
- target
- storage
- storage position
- bin
- task processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 35
- 238000012545 processing Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000004590 computer program Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 22
- 238000010586 diagram Methods 0.000 description 12
- 230000008569 process Effects 0.000 description 5
- 230000004044 response Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 235000013322 soy milk Nutrition 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
Abstract
The present disclosure provides a task processing method, a device, a warehouse management system, a computer readable medium and an electronic device, wherein the method is executed by a task processing device in the warehouse management system, and comprises: responding to the task processing request, and acquiring a target commodity category identifier; determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions; inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to obtain a target storage position; and placing the target commodity corresponding to the target commodity category identification on the target storage position through a transportation device. This openly can improve storage density, improves warehouse entry efficiency, reduces handling cost.
Description
Technical Field
The present disclosure relates to the field of logistics technologies, and in particular, to a task processing method, a task processing apparatus, a warehouse management system, a computer-readable storage medium, and an electronic device.
Background
With the rapid development of the logistics industry, smart warehousing becomes an indispensable part of the logistics industry.
The shelves in the existing intelligent warehouse are all single-depth storage positions, the shelves are stored back to back, fig. 1 shows a schematic structural diagram of the single-depth storage positions, and as shown in fig. 1, the shelves on the single-depth storage positions can be randomly put in and taken out of the warehouse without being influenced by other storage positions. Although the single-depth storage positions are beneficial to moving in and out of the goods shelves, a channel needs to be arranged between the adjacent single-depth storage positions so that an AGV (automatic Guided Vehicle) can transport goods, and therefore the storage density of the warehouse is insufficient, the space of the warehouse cannot be effectively utilized, the storage efficiency is reduced, and further the logistics efficiency is reduced.
In view of the above, there is a need in the art to develop a new task processing method and apparatus.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a task processing method, a task processing apparatus, a warehouse management system, a computer-readable storage medium, and an electronic device, so as to at least increase the warehouse density to a certain extent, increase the warehouse entry and exit efficiency, and reduce the transportation cost.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, there is provided a task processing method applied to a task processing device in a warehouse management system, the method including:
responding to the warehousing request, and acquiring a target commodity category identification;
determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions;
inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to obtain a target storage position;
and placing the target commodity corresponding to the target commodity category identification on the target storage position through a transportation device.
In an exemplary embodiment of the present disclosure, the warehouse management system further includes a storage location management device, where the storage location management device stores a plurality of multiple-depth storage locations, and each of the multiple-depth storage locations corresponds to a different item identifier;
the determining of the target storage area according to the commodity category identifier comprises:
matching the target commodity category identification with the commodity category identification corresponding to each multi-depth storage area;
and taking the multi-depth storage area matched with the target commodity category identification as the target storage area.
In an exemplary embodiment of the present disclosure, the querying the occupation states of the storage locations in the target storage location area according to a sequence of codes from small to large to obtain the target storage location includes:
acquiring a first storage position which has the minimum number and is not occupied in the target storage position area;
and judging the type of the first storage position, and determining the target storage position according to the type of the first storage position.
In an exemplary embodiment of the present disclosure, the determining the type of the first bin and determining the target bin according to the type of the first bin includes:
when the type of the first storage position is an outer storage position, determining the target storage position according to the type of the storage position adjacent to the first storage position in the recommendation sequence;
when the type of the first bin is an inner bin, acquiring the occupation state of a second bin, and determining the target bin according to the occupation state of the second bin, wherein the second bin comprises a nearest neighbor outer bin adjacent to the first bin along the recommendation sequence and an intermediate bin between the first bin and the nearest neighbor outer bin, and the number of the nearest neighbor outer bin is greater than that of the first bin.
In an exemplary embodiment of the present disclosure, the acquiring an occupation state of a second storage bit and determining the target storage bit according to the occupation state of the second storage bit includes:
when the occupation states of the nearest neighbor outer storage bit and the middle storage bit are both unoccupied, taking the first storage bit as the target storage bit;
and when the occupation state of any one of the nearest neighbor outer storage position and the middle storage position is occupied, inquiring the occupation states of the rest storage positions by taking the first storage position as a starting point according to the sequence of the numbers from small to large so as to obtain the target storage position.
In an exemplary embodiment of the present disclosure, when the type of the first bin is an outside bin, the determining the target bin according to the type of the bin adjacent to the first bin in the recommendation order includes:
determining the first bin as the target bin when the first bin is adjacent to an outside bin in the recommended order; alternatively, the first and second electrodes may be,
when the first storage position is adjacent to the inner storage position in the recommendation sequence, acquiring a target outer storage position adjacent to the number of the first storage position, wherein the number of the target outer storage position is greater than the number of the first storage position;
determining a target inner side reserve position according to the first reserve position and the target outer side reserve position;
and when the occupied state of the target inner side storage position is unoccupied, determining the first storage position as the target storage position.
In an exemplary embodiment of the present disclosure, the method further comprises:
and responding to the warehouse-out request corresponding to the target storage area, acquiring a third storage area with an occupied state from the target storage area according to the sequence of the serial numbers from small to large, and executing warehouse-out operation on commodities on the third storage area through the transportation device.
In an exemplary embodiment of the present disclosure, before determining the target storage area according to the target goods category identification, the method further comprises:
the method comprises the steps of obtaining inventory of various commodities, and dividing a storage position area into a plurality of deep storage position areas according to the inventory.
In an exemplary embodiment of the present disclosure, the method further comprises:
and coding the storage bit in each multi-depth storage area according to a preset coding mode by taking the outer side edge with the least multi-depth levels in the multi-depth storage area as the coding direction.
In an exemplary embodiment of the present disclosure, the preset encoding mode includes open-loop encoding and closed-loop encoding.
According to an aspect of the present disclosure, there is provided a task processing device configured in a warehouse management system, including:
the identification acquisition module is used for responding to the warehousing request and acquiring the target commodity category identification;
the storage area acquisition module is used for determining a target storage area according to the target commodity category identification, and the target storage area is a multi-depth storage area comprising a plurality of coding storage positions;
the storage position acquisition module is used for inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to acquire the target storage position;
and the warehousing module is used for placing the target commodities corresponding to the target commodity category identification on the target storage position through a transportation device.
According to an aspect of the present disclosure, there is provided a warehouse management system including:
the storage position management device is used for storing a plurality of multi-depth storage position areas, and each multi-depth storage position area comprises a plurality of coding storage positions and corresponds to different commodity category identifications;
the task processing device is connected with the storage position management device and used for responding to a warehousing request, acquiring a target commodity category identification according to the warehousing request, determining a target storage position area from the storage position management device according to the target commodity category identification, and inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to acquire the target storage position; alternatively, the first and second electrodes may be,
the system comprises a storage area, a storage unit and a storage unit, wherein the storage area is used for responding to a warehouse-out request corresponding to a target storage area and acquiring storage positions with occupied states as occupied from the target storage area according to the sequence of numbers from small to large;
and the transportation device is connected with the warehouse task processing device and is used for placing the target commodity corresponding to the target commodity category identification on the target storage position or executing warehouse-out operation on the commodity on the storage position determined in response to the warehouse-out request.
According to an aspect of the present disclosure, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the task processing method as described above.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the task processing method as described above via execution of the executable instructions.
According to the technical scheme, the task processing method and device, the computer-readable storage medium and the electronic device in the exemplary embodiment of the disclosure have at least the following advantages and positive effects:
the task processing method in the disclosure includes firstly responding to a warehousing request to obtain a target commodity category identification; then, determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions; then, according to the sequence of codes from small to large, the occupation state of each storage position in the target storage position area is inquired to obtain the target storage position; and finally, placing the target commodity corresponding to the target commodity category identification on the target storage position through the transportation device. On one hand, the task processing method can be used for warehousing based on the multi-depth storage positions, so that the warehousing density is improved; and on the other hand, the target storage position can be determined and put in storage according to the coding size of each storage position in the target storage position area and the occupation state of each storage position, so that the put-in efficiency is improved, and the carrying cost is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a schematic diagram of a single-depth reservoir in the related art;
FIG. 2 is a diagram illustrating an exemplary structure of a multi-depth reservoir according to an exemplary embodiment of the present disclosure;
FIG. 3 shows a flowchart of a task processing method in an exemplary embodiment of the present disclosure;
FIG. 4 illustrates a flow chart for determining a target reserve in an exemplary embodiment of the present disclosure;
FIG. 5 illustrates a flow chart for determining a target reserve in an exemplary embodiment of the present disclosure;
6A-6C illustrate a structural schematic of a recommendation sequence in an exemplary embodiment of the present disclosure;
FIG. 7 is a schematic diagram showing a structure of a task processing device in an exemplary embodiment of the present disclosure;
fig. 8 shows an architectural schematic of a warehouse management system in an exemplary embodiment of the present disclosure;
FIG. 9 shows a schematic diagram of a structure of a computer storage medium in an exemplary embodiment of the disclosure;
fig. 10 shows a schematic structural diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
The terms "a," "an," "the," and "said" are used in this specification to denote the presence of one or more elements/components/parts/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first" and "second," etc. are used merely as labels, and are not limiting on the number of their objects.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
In the related art in the field, a single-depth storage position is generally adopted for storage, and although the storage position is favorable for carrying in and carrying out the goods shelf, the storage density is insufficient, so that the storage space cannot be effectively utilized. In order to further improve the effective utilization rate of the warehouse space, multiple-depth storage locations can be used for storage to increase the storage density and maximize the goods storage capacity of the warehouse, but the storage of the multiple-depth storage locations is not beneficial to moving in and out of the shelves, fig. 2 shows a structural schematic diagram of the multiple-depth storage locations, as shown in fig. 2, the rows and columns of the multiple-depth storage locations are all larger than 2, and no channel exists between the storage locations in each row and each column, so that when the shelves in the storage locations (the storage locations surrounded by the black line frame in fig. 2) in the multiple-depth area are taken out of the warehouse, the shelves in the outer-layer area storage locations need to be moved to other storage locations or the occupied state of the outer-layer area storage locations needs to be changed into an unoccupied state, thereby inevitably increasing the carrying cost and reducing the efficiency of goods taking out of the warehouse.
Based on the problems in the related art, in one embodiment of the present disclosure, a task processing method is provided to optimize the problems. Referring specifically to fig. 3, the task processing method may be executed by a task processing device in the warehouse management system, and includes at least the following steps:
step S310: responding to the warehousing request, and acquiring a target commodity category identification;
step S320: determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions;
step S330: inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to obtain a target storage position;
step S340: and placing the target commodity corresponding to the target commodity category identification on the target storage position through a transportation device.
On one hand, the task processing method in the embodiment of the disclosure can be used for warehousing based on multiple deep storage positions, so that the warehousing density is improved; and on the other hand, the target storage position can be determined according to the coding size of each storage position in the target storage position area and the occupation state of each storage position for carrying out storage operation, so that the storage efficiency is improved, and the carrying cost is reduced.
In order to make the technical solution of the present disclosure clearer, each step of the task processing method in the present disclosure will be described in detail below.
In step S310, in response to the warehousing request, the target commodity category identification is acquired.
In the exemplary embodiment of the disclosure, for the e-commerce platform, after receiving an order of a user, it is very important to quickly obtain commodities corresponding to the user order from a warehouse and package the commodities, so that the e-commerce platform needs to create a storage system of the e-commerce platform, and store various commodities in the warehouse as much as possible and comprehensively, so as to reduce the time consumed by logistics, ensure the logistics efficiency, and improve the user experience. And the warehouse is as the place that the goods were deposited the transfer, and high storage density and convenient warehouse entry are the important condition of storage, consequently in the embodiment of this disclosure, can adopt many depths storage position to carry out the goods storage to promote the storage density in warehouse.
Further, in the embodiment of the present disclosure, all the storage locations in the warehouse may be divided into multiple deep storage location areas according to the storage amount of each type of commodity, the multiple deep storage location areas may be regular or irregular, each multiple deep storage location area is used for storing a type of single commodity, for example, 1000 storage locations are shared in the warehouse, each storage location may be used for placing one 5-tier shelf, each tier shelf may be used for placing one commodity, that is, the warehouse may store 5000 commodities, and the storage amount of commodity a is 1000, then a multiple deep storage location area including 200 storage locations may be divided for storing commodity a, and the multiple deep storage location area may be, for example, an area with a specification of 10 × 20, 5 × 40, and the like. Therefore, the commodities of the same type can be placed together in a concentrated mode, a plurality of similar commodities can be conveniently and simultaneously obtained, and an intelligent carrying trolley or a goods taker does not need to take the similar commodities from all positions of a warehouse.
In an exemplary embodiment of the present disclosure, after a storage location in a warehouse is divided into a plurality of multi-depth storage location areas, a position of each multi-depth storage location area and a corresponding item identifier may be stored in the warehouse management system, and after a warehousing request for a target item is received, the item identifier of the target item may be acquired as the target item identifier, so as to determine the corresponding multi-depth storage location area according to the target item identifier. The commodity category identifier is an identifier corresponding to the lowest class of the commodity, for example, a television can correspond to the three classes: first-stage classification: a household appliance; and (4) secondary classification: a television set; and (3) three-stage classification: the brand, then, when setting the category identification of a certain brand of television, needs to be set according to the three-level classification thereof. When the commodity category identification is set, the marking information, the commodity model and the specification corresponding to each grade of classification can be combined, for example, the mark of the household appliance is HE, the mark of the television is TV, and the mark of the brand is English name or Pinyin of each brand, for example, the commodity category identification of a 55-inch three-star television with the model of UUUXA 35UTX can be set to HETVSamsung55 UXA35 UTX; or can be determined according to the name and the model of the commodity corresponding to the commodity, such as the white nine-sun soymilk machine FJ 10R-K1; of course, the commodity category identifier may also be determined in other manners, which is not specifically limited in this disclosure.
In step S320, a target storage area is determined according to the target commodity category identifier, where the target storage area is a multi-depth storage area including a plurality of coded storage locations.
In an exemplary embodiment of the present disclosure, after the target commodity category identifier is obtained, the target storage area corresponding to the target commodity category identifier may be determined according to the target commodity category identifier. Specifically, the target commodity category identifier may be matched with the commodity category identifiers corresponding to the multiple-depth storage location areas, and when there is a commodity category identifier matched with the target commodity category identifier, the multiple-depth storage location area corresponding to the commodity category identifier is used as a target storage location for storing the commodities to be stored.
In step S330, the occupation states of the storage locations in the target storage location area are queried according to the sequence of the codes from small to large, so as to obtain the target storage location.
In an exemplary embodiment of the present disclosure, in order to facilitate warehousing of goods in the multi-depth storage area, each storage location in the multi-depth storage area may be numbered, and storage location recommendation may be performed on newly warehoused goods according to the number. In the embodiment of the present disclosure, the numbers of the respective bins are successively increased in the recommended order. After the numbers are determined, the occupation states of the storage positions in the target storage position area can be inquired according to the sequence of the numbers from small to large, and whether the storage position inquired currently can be used as the target storage position or not is judged for storing the target commodity corresponding to the target commodity category identification. For example, when the number 1 storage position is in an unoccupied state and can be used for storing the target commodity, the target commodity can be put in storage on the number 1 storage position; when the storage positions 1-3 are in an occupied state and the storage position 4 is in an unoccupied state and can be used for storing the target commodity, the target commodity can be placed on the storage position 4, and the like.
Considering that the target bit storage area in the present disclosure is a multi-depth bit storage area, not all unoccupied bit storage areas can be used as the target bit storage area, and therefore, it is necessary to determine which bit storage area can be used as the target bit storage area according to the attribute information of each bit storage area. Fig. 4 is a schematic flowchart illustrating a process of determining a target storage location, and as shown in fig. 4, in step S401, a first storage location having a minimum number and an unoccupied occupancy status in a target storage location area is obtained; in step S402, the type of the first bin is determined, and a target bin is determined according to the type of the first bin.
In an exemplary embodiment of the present disclosure, the reservoirs in the multi-depth reservoir region may be divided into outer and inner reservoirs. When the first storage position is the outer storage position, some outer storage positions are not adjacent to the inner storage position, the influence of other storage positions is avoided, and the storage position is equivalent to a single-depth storage position, so that the storage and the delivery of goods can be conveniently carried out. That is, when the first bin is an outside bin adjacent to the outside bin in the recommended order, the first bin may be directly determined as the target bin; when the first bin is an outer bin adjacent to the inner bin in the recommendation sequence, the determination needs to be performed according to the occupation state of the bin adjacent to the first bin, fig. 5 shows a schematic flow chart of determining a target bin, as shown in fig. 5, in step S501, a target outer bin adjacent to the number of the first bin is obtained, and the number of the target outer bin is greater than the number of the first bin; in step S502, determining a target inner bin according to the first bin and the target outer bin; in step S503, when the occupied state of the target inner bin is unoccupied, the first bin is determined as the target bin.
When the first storage position is an inner storage position, the warehousing and the ex-warehouse of the shelf are limited by the occupation states of the storage positions adjacent to the first storage position, for example, the 6 storage position is adjacent to the 5 and 7 storage positions, if the 5 and 7 storage positions are in the occupation states, the 6 storage position cannot be warehoused and ex-warehouse, therefore, when the type of the first storage position is the inner storage position, the occupation state of the second storage position needs to be acquired, the target storage position is determined according to the occupation state of the second storage position, the second storage position comprises a nearest neighbor outer storage position adjacent to the first storage position along the recommended sequence direction and a middle storage position between the first storage position and the nearest neighbor outer storage position, and the number of the nearest neighbor outer storage position is larger than the number of the first storage position.
In an exemplary embodiment of the present disclosure, the occupation state of the second storage bit is obtained, and the target storage bit is determined according to the occupation state of the second storage bit, which may be specifically implemented according to a method that, when the occupation states of the nearest neighbor outer storage bit and the middle storage bit are unoccupied, the first storage bit is taken as the target storage bit; and when the occupation state of any storage position of the nearest neighbor storage position and the middle storage position is occupation, inquiring the occupation states of the rest storage positions by taking the first storage position as a starting point according to the sequence of the numbers from small to large so as to obtain the target storage position. When the first storage location is used as the starting point to reacquire the target storage location, it is equivalent to search the next first storage location again, and determine whether the first storage location is the target storage location according to the type of the first storage location.
In step S340, a target commodity corresponding to the target commodity category identifier is placed on the target storage position by the transportation device.
In the exemplary embodiment of the disclosure, after the target storage location is determined, the target goods corresponding to the target goods category identifier may be transported to the target storage location through the transportation device, so as to implement warehousing operation of the goods. The transport device may be an AGV cart, or may be other equipment capable of carrying a rack to travel according to a set route, which is not specifically limited in the embodiment of the present disclosure.
In the exemplary embodiment of the present disclosure, similar to the warehousing recommendation, the ex-warehouse recommendation may also be performed according to the sequence of numbers from small to large, specifically, when receiving an ex-warehouse request corresponding to the target storage area, the third storage area whose occupied status is occupied is obtained from the target storage area according to the sequence of numbers from small to large, and the ex-warehouse operation is performed on the goods on the third storage area by the transport device (AGV cart). And acquiring the occupied third storage position from small to large according to the serial numbers, wherein the storage positions with serial numbers smaller than the serial numbers of the third storage position are all in an unoccupied state, so that the commodities on the third storage position can be directly taken out of the warehouse. According to the embodiment of the disclosure, warehousing and warehousing are performed according to a first-in first-out principle of commodities, when no commodity exists in the target storage area, warehousing recommendation can be performed sequentially according to the sequence of the storage position numbers from small to large, when all storage positions in the target storage area are recommended and receive a warehouse-out request, warehouse-out recommendation can be performed sequentially according to the sequence of the numbers from small to large, so that the storage positions are emptied sequentially from small numbers, and then the warehousing recommended storage positions can be started from the small-number storage positions, so that warehousing and warehousing of the commodities are more ordered, and the storage position utilization rate of the warehouse is higher. Further, when the storage positions in the target storage position area are not fully occupied, when a warehousing request is received, the unoccupied storage positions with the smallest numbers and capable of being warehoused in the storage positions can be inquired in the sequence from the smallest numbers to the largest numbers to perform warehousing operation on the target commodities corresponding to the target commodity category identification, and similarly, when a warehouse-out request is received, the occupied storage positions with the smallest numbers and capable of being warehoused out can be inquired in the sequence from the smallest numbers to the largest numbers to perform warehouse-out operation on the target commodities corresponding to the target commodity category identification.
In order to make the technical solution of the embodiment of the present disclosure clearer, the following describes the technical solution of the embodiment of the present disclosure with a specific structure of the multi-depth storage region.
Based on the structural schematic diagram of the multi-depth bit storage area shown in fig. 2, multiple recommendation sequences can be set according to different coding modes, and fig. 6A to 6C show structural schematic diagrams of three recommendation sequences, where, as shown in fig. 6A, the coding modes are open-loop codes and are numbered sequentially along the short side direction of the multi-depth bit storage area to form a continuous open-loop recommendation sequence; as shown in fig. 6B, the open-loop coding method is adopted, but the numbers are sequentially numbered along the long side direction of the multi-depth storage area to form a continuous open-loop recommendation sequence; as shown in fig. 6C, the closed-loop coding mode is adopted, and the numbers are sequentially numbered along the short side direction of the multi-depth bit storage area, so as to form a continuous closed-loop recommendation sequence.
Taking the recommendation sequence shown in fig. 6A as an example, the numbering storage positions 1-5, 8-9, 12-13, 16-17, 20-21 and 24-28 located around are all outer storage positions, the numbering storage positions 6-7, 10-11, 14-15, 18-19 and 22-23 located inside are all inner storage positions, when in warehousing recommendation, the commodities on the outer storage positions adjacent to the outer storage positions can be freely put in storage without considering the occupation states of the storage positions adjacent to the target storage position in the recommendation sequence, that is, for the bins numbered 1-4, 25-28, one can re-enter each bin to occupy the bin, however, for the outer bin and the inner bin adjacent to the inner bin, the occupation status of the bins adjacent to the target bin in the recommendation sequence needs to be considered. For example, for the storage location No. 6-7, the warehouse-out recommendation can be performed after warehouse-out of the storage location No. 5, and when the storage location No. 5 is a recommended target storage location available for warehouse-out, warehouse-in operation cannot be directly performed after warehouse-out operation is performed on commodities on the storage location No. 5, which may result in that the storage location No. 6-7 cannot be warehouse-out, so that warehouse-in operation may be performed on the commodities on the storage location No. 6-7 only by performing warehouse-out operation on the storage location No. 5. In addition, warehousing recommendation of the No. 6-7 storage positions can be performed only after the No. 8 storage positions are taken out of the warehouse, if warehousing recommendation is performed on the No. 6 storage positions, the No. 7-8 storage positions must be guaranteed to be empty, if warehousing recommendation is performed on the No. 7 storage positions, the No. 8 storage positions must be guaranteed to be empty, otherwise, the No. 6 and No. 7 storage positions cannot be warehoused, and therefore warehouse-out operation needs to be performed on commodities on the storage positions which are adjacent to the target storage positions in the recommendation sequence and have serial numbers larger than the serial numbers of the target storage positions, and then warehousing operation can be performed on the target storage positions.
The recommendation sequence shown in fig. 6B and 6C is the same as the recommendation sequence shown in fig. 6A in the logic of commodity recommendation, that is, when there are commodities that have not been delivered from warehouse, several storage positions are sacrificed and cannot be recommended by commodities newly stored in warehouse, for example, when the storage position 8 is in an occupied state, the storage position 6-7 cannot be stored in warehouse, and for this situation, the storage position 6-7 may be used as a reference, and the target storage positions are continuously obtained in the order from small to large in number to store the target commodities.
In an exemplary embodiment of the present disclosure, by analyzing the recommendation sequence of fig. 6A-6C, the recommendation sequence portion of fig. 6A for the presence of the inner bin, such as bin No. 5-8, bin No. 9-12, bin No. 13-16, bin No. 17-20, and bin No. 21-24, where each portion may have 2 sacrificial bins; for the recommended order portion of the inner bin in FIG. 6B, such as bins 8-14, 15-21, where the number of possible victims in each portion is 5; for the recommended order portion of the inner bin in FIG. 6C, such as bins 5-10, 11-16, and 19-22, the number of possible victims in each portion is 4, or 2, respectively. By comparison, it is found that the number of the sacrificed bit is the largest in the recommendation sequence of fig. 6B, which is disadvantageous for improving the bit utilization rate and the storage density, and therefore, in the embodiment of the present disclosure, the edge with the smallest multiple depth levels may be used as the direction of the numbering recommendation sequence to reduce the number of the sacrificed bit and improve the bit utilization rate and the storage density. Of course, the numbering method in the embodiment of the present disclosure is not limited to the three methods, and other numbering methods may also be adopted, for example, individual storage locations may be discarded according to actual needs or different closed-loop coding methods or open-loop coding methods may be selected according to the composition structures of different storage locations, which is not specifically limited in the embodiment of the present disclosure.
The task processing method disclosed by the invention obtains the target commodity category identification by responding to the warehousing request; then, determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions; then, according to the sequence of codes from small to large, the occupation state of each storage position in the target storage position area is inquired to obtain the target storage position; and finally, placing the target commodity corresponding to the target commodity category identification on the target storage position through the transportation device. Further, the task processing method disclosed by the disclosure can also determine a third storage position occupied in the occupied state according to the sequence of codes from small to large, and perform warehouse-out operation on commodities on the third storage position. On one hand, the task processing method can be used for warehousing based on the multi-depth storage positions, so that the warehousing density is improved; on the other hand, the target storage positions can be determined according to the coding size of each storage position in the target storage position area and the occupation state of each storage position for carrying out storage operation, so that the storage efficiency is improved, and the carrying cost is reduced; on the other hand, the warehouse can be exported and warehoused according to the first-in first-out rule, so that the warehouse density is further improved, the warehouse-in and warehouse-out efficiency is improved, and the carrying cost is reduced.
The following describes embodiments of the apparatus of the present disclosure, which may be used to perform the task processing method described above in the present disclosure. For the details that are not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the task processing method described above in the present disclosure.
Fig. 7 schematically shows a block diagram of a task processing device that may be configured in a warehouse management system according to one embodiment of the present disclosure. As shown in fig. 7, the task processing device 700 includes at least:
an identifier obtaining module 701, configured to obtain a target commodity category identifier in response to the warehousing request;
a storage location area obtaining module 702, configured to determine a target storage location area according to the target commodity category identifier, where the target storage location area is a multi-depth storage location area including multiple coded storage locations;
a storage location obtaining module 703, configured to query, according to a sequence from small to large in the coding, an occupied state of each storage location in the target storage location area to obtain a target storage location;
and the warehousing module 704 is used for placing the target commodity corresponding to the target commodity category identification on the target storage position through a transportation device.
The specific details of each module in the task processing device have been described in detail in the corresponding task processing method, and therefore are not described herein again.
The embodiment of the present disclosure further discloses a warehouse management system, which may be used for performing warehousing processing on commodities to be warehoused and ex-warehouse processing on commodities to be ex-warehouse based on multiple depth storage locations, where fig. 8 schematically illustrates an architecture diagram of the warehouse management system according to an embodiment of the present disclosure, and as shown in fig. 8, the warehouse management system 800 at least includes:
a storage location management device 801, configured to store a plurality of multiple-depth storage locations, where each multiple-depth storage location includes a plurality of coded storage locations and corresponds to different commodity category identifiers;
the task processing device 802 is connected to the storage location management device, and is configured to respond to a warehousing request, obtain a target commodity category identifier according to the warehousing request, determine a target storage location area from the storage location management device according to the target commodity category identifier, and query an occupation state of each storage location in the target storage location area according to a sequence of codes from small to large to obtain a target storage location; alternatively, the first and second electrodes may be,
the system comprises a storage area, a storage unit and a storage unit, wherein the storage area is used for responding to a warehouse-out request corresponding to a target storage area and acquiring storage positions with occupied states as occupied from the target storage area according to the sequence of numbers from small to large;
and the transportation device 803 is connected with the warehouse task processing device and is used for placing the target commodity corresponding to the target commodity category identifier on the target storage position or executing warehouse-out operation on the commodity on the storage position determined by the task processing device in response to the warehouse-out request.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 900 according to this embodiment of the disclosure is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is only an example and should not bring any limitations to the functionality or scope of use of the embodiments of the present disclosure.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.
Wherein the storage unit stores program code that can be executed by the processing unit 910 to cause the processing unit 910 to perform the steps according to various exemplary embodiments of the present disclosure described in the above section "detailed description" of the present specification. For example, the processing unit 910 may perform step S310 as shown in fig. 3: responding to the task processing request, and acquiring a target commodity category identifier; step S320: determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions; step S330: inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to obtain a target storage position; step S340: and executing target operation on the target commodity corresponding to the target commodity category identification through the transportation device.
The storage unit 920 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM)9201 and/or a cache memory unit 9202, and may further include a read only memory unit (ROM) 9203.
The electronic device 900 may also communicate with one or more external devices 1500 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 900 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interface 950. Also, the electronic device 900 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 960. As shown, the network adapter 960 communicates with the other modules of the electronic device 900 via the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the disclosure described in the "exemplary methods" section above of this specification, when the program product is run on the terminal device.
Referring to fig. 10, a program product 1000 for implementing the above method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (14)
1. A task processing method, performed by a task processing apparatus in a warehouse management system, the method comprising:
responding to the task processing request, and acquiring a target commodity category identifier;
determining a target storage area according to the target commodity category identification, wherein the target storage area is a multi-depth storage area comprising a plurality of coding storage positions;
inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to obtain a target storage position;
and placing the target commodity corresponding to the target commodity category identification on the target storage position through a transportation device.
2. The task processing method according to claim 1, wherein the warehouse management system further comprises a stock level management device, the stock level management device stores a plurality of deep stock level areas, and each deep stock level area corresponds to a different item category identifier;
the determining of the target storage area according to the commodity category identifier comprises:
matching the target commodity category identification with the commodity category identification corresponding to each multi-depth storage area;
and taking the multi-depth storage area matched with the target commodity category identification as the target storage area.
3. The task processing method according to claim 1, wherein the querying the occupation status of each storage bit in the target storage bit region according to the order of the codes from small to large to obtain the target storage bit comprises:
acquiring a first storage position which has the minimum number and is not occupied in the target storage position area;
and judging the type of the first storage position, and determining the target storage position according to the type of the first storage position.
4. The task processing method according to claim 3, wherein the determining the type of the first bin and determining the target bin according to the type of the first bin comprises:
when the type of the first storage position is an outer storage position, determining the target storage position according to the type of the storage position adjacent to the first storage position in the recommendation sequence;
when the type of the first bin is an inner bin, acquiring the occupation state of a second bin, and determining the target bin according to the occupation state of the second bin, wherein the second bin comprises a nearest neighbor outer bin adjacent to the first bin along the recommendation sequence and an intermediate bin between the first bin and the nearest neighbor outer bin, and the number of the nearest neighbor outer bin is greater than that of the first bin.
5. The task processing method according to claim 4, wherein the obtaining the occupation status of the second storage bit and determining the target storage bit according to the occupation status of the second storage bit comprises:
when the occupation states of the nearest neighbor outer storage bit and the middle storage bit are both unoccupied, taking the first storage bit as the target storage bit;
and when the occupation state of any one of the nearest neighbor outer storage position and the middle storage position is occupied, inquiring the occupation states of the rest storage positions by taking the first storage position as a starting point according to the sequence of the numbers from small to large so as to obtain the target storage position.
6. The task processing method according to claim 4, wherein when the type of the first bin is an outer bin, determining the target bin according to the type of the bin adjacent to the first bin in the recommendation order comprises:
determining the first bin as the target bin when the first bin is adjacent to an outside bin in the recommended order; alternatively, the first and second electrodes may be,
when the first storage position is adjacent to the inner storage position in the recommendation sequence, acquiring a target outer storage position adjacent to the number of the first storage position, wherein the number of the target outer storage position is greater than the number of the first storage position;
determining a target inner side reserve position according to the first reserve position and the target outer side reserve position;
and when the occupied state of the target inner side storage position is unoccupied, determining the first storage position as the target storage position.
7. The task processing method according to claim 1, further comprising:
and responding to the warehouse-out request corresponding to the target storage area, acquiring a third storage area with an occupied state from the target storage area according to the sequence of the serial numbers from small to large, and executing warehouse-out operation on commodities on the third storage area through the transportation device.
8. A task processing method according to claim 1, wherein before determining a target storage area from the target item category identification, the method further comprises:
the method comprises the steps of obtaining inventory of various commodities, and dividing a storage position area into a plurality of deep storage position areas according to the inventory.
9. The task processing method according to claim 8, further comprising:
and coding the storage bit in each multi-depth storage area according to a preset coding mode by taking the outer side edge with the least multi-depth levels in the multi-depth storage area as the coding direction.
10. The task processing method according to claim 9, wherein the preset encoding mode includes open-loop encoding and closed-loop encoding.
11. A task processing device, provided in a warehouse management system, comprising:
the identification acquisition module is used for responding to the warehousing request and acquiring the target commodity category identification;
the storage area acquisition module is used for determining a target storage area according to the target commodity category identification, and the target storage area is a multi-depth storage area comprising a plurality of coding storage positions;
the storage position acquisition module is used for inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to acquire the target storage position;
and the warehousing module is used for placing the target commodities corresponding to the target commodity category identification on the target storage position through a transportation device.
12. A warehouse management system, comprising:
the storage position management device is used for storing a plurality of multi-depth storage position areas, and each multi-depth storage position area comprises a plurality of coding storage positions and corresponds to different commodity category identifications;
the task processing device is connected with the storage position management device and used for responding to a warehousing request, acquiring a target commodity category identification according to the warehousing request, determining a target storage position area from the storage position management device according to the target commodity category identification, and inquiring the occupation state of each storage position in the target storage position area according to the sequence of codes from small to large so as to acquire the target storage position; alternatively, the first and second electrodes may be,
the system comprises a storage area, a storage unit and a storage unit, wherein the storage area is used for responding to a warehouse-out request corresponding to a target storage area and acquiring storage positions with occupied states as occupied from the target storage area according to the sequence of numbers from small to large;
and the transportation device is connected with the task processing device and is used for placing the target commodity corresponding to the target commodity category identification on the target storage position or executing warehouse-out operation on the commodity on the storage position determined by the task processing device responding to the warehouse-out request.
13. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the task processing method of any one of claims 1 to 10.
14. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the task processing method of any one of claims 1 to 10 via execution of the executable instructions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010334493.8A CN113554377A (en) | 2020-04-24 | 2020-04-24 | Task processing method and device, warehouse management system and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010334493.8A CN113554377A (en) | 2020-04-24 | 2020-04-24 | Task processing method and device, warehouse management system and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113554377A true CN113554377A (en) | 2021-10-26 |
Family
ID=78101344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010334493.8A Pending CN113554377A (en) | 2020-04-24 | 2020-04-24 | Task processing method and device, warehouse management system and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113554377A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024103848A1 (en) * | 2022-11-17 | 2024-05-23 | 北京京东乾石科技有限公司 | Item access control method and control apparatus, electronic device, and readable medium |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06271014A (en) * | 1993-03-22 | 1994-09-27 | Daifuku Co Ltd | Automatic warehouse |
| JP2005272053A (en) * | 2004-03-24 | 2005-10-06 | Daifuku Co Ltd | Commodity storage facility |
| CN103473658A (en) * | 2013-08-13 | 2013-12-25 | 北京京东尚科信息技术有限公司 | Warehouse-in and warehouse-out method for storage, and system thereof |
| JP2015040128A (en) * | 2013-08-23 | 2015-03-02 | 株式会社ダイフク | Article stacking method |
| WO2015125287A1 (en) * | 2014-02-21 | 2015-08-27 | 株式会社日立製作所 | Warehouse layout generation device, and distribution warehouse |
| 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 |
| CN106966100A (en) * | 2017-05-15 | 2017-07-21 | 北京京东尚科信息技术有限公司 | Goods warehousing method and system |
| CN110119861A (en) * | 2018-02-07 | 2019-08-13 | 北京京东尚科信息技术有限公司 | Dispatch the method, apparatus and computer readable storage medium of unmanned vehicle |
| WO2019154445A2 (en) * | 2019-04-11 | 2019-08-15 | 上海快仓智能科技有限公司 | Warehouse entry/exit control method for shelf array, and transportation system |
| CN110147970A (en) * | 2018-02-13 | 2019-08-20 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus of storage scheduling |
| CN110322172A (en) * | 2018-03-28 | 2019-10-11 | 北京京东尚科信息技术有限公司 | Inventory's dispatching method, device and computer readable storage medium |
| CN110723453A (en) * | 2019-10-22 | 2020-01-24 | 广东电网有限责任公司 | Multi-roadway stereoscopic warehouse warehousing control method, multi-roadway stereoscopic warehouse ex-warehouse control method and multi-roadway stereoscopic warehouse ex-warehouse control device |
-
2020
- 2020-04-24 CN CN202010334493.8A patent/CN113554377A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06271014A (en) * | 1993-03-22 | 1994-09-27 | Daifuku Co Ltd | Automatic warehouse |
| JP2005272053A (en) * | 2004-03-24 | 2005-10-06 | Daifuku Co Ltd | Commodity storage facility |
| CN103473658A (en) * | 2013-08-13 | 2013-12-25 | 北京京东尚科信息技术有限公司 | Warehouse-in and warehouse-out method for storage, and system thereof |
| JP2015040128A (en) * | 2013-08-23 | 2015-03-02 | 株式会社ダイフク | Article stacking method |
| WO2015125287A1 (en) * | 2014-02-21 | 2015-08-27 | 株式会社日立製作所 | Warehouse layout generation device, and distribution warehouse |
| 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 |
| CN106966100A (en) * | 2017-05-15 | 2017-07-21 | 北京京东尚科信息技术有限公司 | Goods warehousing method and system |
| CN110119861A (en) * | 2018-02-07 | 2019-08-13 | 北京京东尚科信息技术有限公司 | Dispatch the method, apparatus and computer readable storage medium of unmanned vehicle |
| CN110147970A (en) * | 2018-02-13 | 2019-08-20 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus of storage scheduling |
| CN110322172A (en) * | 2018-03-28 | 2019-10-11 | 北京京东尚科信息技术有限公司 | Inventory's dispatching method, device and computer readable storage medium |
| WO2019154445A2 (en) * | 2019-04-11 | 2019-08-15 | 上海快仓智能科技有限公司 | Warehouse entry/exit control method for shelf array, and transportation system |
| CN110723453A (en) * | 2019-10-22 | 2020-01-24 | 广东电网有限责任公司 | Multi-roadway stereoscopic warehouse warehousing control method, multi-roadway stereoscopic warehouse ex-warehouse control method and multi-roadway stereoscopic warehouse ex-warehouse control device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024103848A1 (en) * | 2022-11-17 | 2024-05-23 | 北京京东乾石科技有限公司 | Item access control method and control apparatus, electronic device, and readable medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA3100279C (en) | Order processing method and device, server, and storage medium | |
| CN107103445B (en) | Information processing method and device | |
| CN109117999B (en) | Seeding bit distribution method, device, server and medium | |
| CN109118137B (en) | Order processing method, device, server and storage medium | |
| CN108960708B (en) | Goods shelving method, device and system, goods shelving terminal and storage medium | |
| Chen et al. | The storage location assignment and interleaving problem in an automated storage/retrieval system with shared storage | |
| US20210110333A1 (en) | Ex-warehousing method and device | |
| CN112239040B (en) | Storage management method, device, equipment, medium and storage system | |
| EP4207012A1 (en) | Order processing and warehouse dispatch method, device, system, and storage medium | |
| WO2023020105A1 (en) | Supplies inventory method and apparatus, and device and storage medium | |
| CN113844812B (en) | Warehouse-in checking transportation system, article warehouse-in method, device, equipment and medium | |
| CN111824649B (en) | Stacker, and method and device for carrying out article warehouse-in and warehouse-out by using stacker | |
| EP3905154A1 (en) | Order processing method, apparatus and device, and storage medium | |
| CN111523918A (en) | Commodity clustering method, commodity clustering device, commodity clustering equipment and storage medium | |
| Regattieri et al. | The impact of dwell point policy in an Automated Storage/Retrieval System | |
| JP2016533579A (en) | Sustained batch order fulfillment | |
| CN111860919A (en) | Method, device, medium and electronic equipment for determining storage strategy of library shelf | |
| CN115724113A (en) | Goods sorting method and device, electronic equipment and readable storage medium | |
| CN110766349A (en) | Tallying method and device | |
| US20210082031A1 (en) | Order processing method and device, and goods volume estimation method and device | |
| CN113320865B (en) | Warehouse management method, device, warehouse robot, warehouse system and medium | |
| CN113554377A (en) | Task processing method and device, warehouse management system and electronic equipment | |
| CN109359905B (en) | Automatic unmanned warehouse goods space allocation method and device and storage medium | |
| CN112551027A (en) | Method and device for warehouse entry and exit of stacked boxes | |
| CN111832980A (en) | Method and device for allocating storage positions of multi-layer warehouse |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |