CN112785216A - Storage position recommendation method and device - Google Patents
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Abstract
The invention discloses a storage place recommendation method and device, and relates to the technical field of storage management. One embodiment of the method comprises: determining a multi-bit hierarchical code for each bin according to the attribute of the respective bin; determining multi-bit grading codes of the articles to be warehoused according to the attributes of the articles to be warehoused; and matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused. This embodiment can solve the technical problem that the recommended reserve is not adequate.
Description
Technical Field
The invention relates to the technical field of warehousing management, in particular to a storage place recommendation method and device.
Background
The shelving is an important link in storage management, articles need to be shelved to a specific storage position when entering a warehouse from external purchase, and the selection of the storage position is related to the space utilization rate of the warehouse and the picking efficiency of the articles when leaving the warehouse, so that the establishment of an effective shelving storage position recommendation strategy is very important.
In most of the existing warehouses, storage positions are allocated to articles according to rules such as article types and storage forms, and when the articles are actually shelved, the storage positions are generally recommended only by considering the original storage positions and the actual idle storage positions of the articles.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
1) the storage position of the same article is always unchanged easily due to the fact that the article is put on the shelf according to the original storage position of the article, and a proper storage position cannot be recommended according to the real-time grade change of the article;
2) the storage positions are put on shelves according to the idle storage positions under the condition that the space of the original storage positions is insufficient, so that the condition that one goods are distributed in multiple positions in a scattered manner is easily caused, and the processes of inventory management, inventory checking and the like are difficult.
Disclosure of Invention
In view of this, embodiments of the present invention provide a storage location recommendation method and apparatus, so as to solve the technical problem that a recommended storage location is not suitable enough.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a stock bit recommendation method including:
determining a multi-bit hierarchical code for each bin according to the attribute of the respective bin;
determining multi-bit grading codes of the articles to be warehoused according to the attributes of the articles to be warehoused;
and matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused.
Determining a multi-bit hierarchical encoding of each bin according to attributes of the respective bin, comprising:
for each bin, determining a multi-bit hierarchical encoding of the bin using:
and determining the multi-bit hierarchical coding of the storage bit according to the physical position and the layer height of the storage bit.
Optionally, determining a multi-bit hierarchical coding of the bin according to the physical location and the layer height of the bin comprises:
determining the first bit hierarchical coding of the storage position according to the distance from the storage position to an operation platform, or determining the first bit hierarchical coding of the storage position according to a storage area or a roadway where the storage position is located;
determining a second bit hierarchical code of the storage position according to the distance from the storage position to the road junction;
and determining the third bit hierarchical coding of the reservoir according to the layer height of the reservoir.
Optionally, determining the multi-bit hierarchical coding of the articles to be warehoused according to the attributes of the articles to be warehoused includes:
determining a first bit grading code of the article to be warehoused according to the turnover rate of the article to be warehoused;
determining a second bit hierarchical code of the article to be warehoused according to the volume of the article to be warehoused;
and determining the third bit grading code of the article to be warehoused according to the weight of the article to be warehoused.
Optionally, the turnover rate of the articles to be warehoused is calculated by adopting the following method:
and calculating the goods picking amount of the goods to be warehoused in a time period closest to the current time.
Optionally, after at least one recommended storage location that is the same as the multi-bit hierarchical code of the article to be warehoused is matched according to the multi-bit hierarchical code of the article to be warehoused, the method further includes:
and screening out at least one to-be-stored position meeting the volume requirement according to the total volume of the to-be-stored articles and the volume of the at least one recommended storage position.
Optionally, after screening out at least one to-be-stored location meeting the volume requirement according to the total volume of the to-be-stored articles and the volume of the at least one recommended storage location, the method further includes:
and screening out at least one target storage position meeting the requirement of the association degree according to the association degree between the article on the adjacent storage position of the at least one storage position to be stored and the article to be stored in the warehouse.
In addition, according to another aspect of the embodiments of the present invention, there is provided a stock bit recommending apparatus including:
the first coding module is used for determining multi-bit hierarchical coding of each storage bit according to the attribute of each storage bit;
the second coding module is used for determining multi-bit hierarchical coding of the articles to be warehoused according to the attributes of the articles to be warehoused;
and the recommending module is used for matching out at least one recommended storage position which is the same as the multi-bit grading code of the article to be warehoused according to the multi-bit grading code of the article to be warehoused.
Optionally, the first encoding module is further configured to:
for each bin, determining a multi-bit hierarchical encoding of the bin using:
and determining the multi-bit hierarchical coding of the storage bit according to the physical position and the layer height of the storage bit.
Optionally, the first encoding module is further configured to:
determining the first bit hierarchical coding of the storage position according to the distance from the storage position to an operation platform, or determining the first bit hierarchical coding of the storage position according to a storage area or a roadway where the storage position is located;
determining a second bit hierarchical code of the storage position according to the distance from the storage position to the road junction;
and determining the third bit hierarchical coding of the reservoir according to the layer height of the reservoir.
Optionally, the second encoding module is further configured to:
determining a first bit grading code of the article to be warehoused according to the turnover rate of the article to be warehoused;
determining a second bit hierarchical code of the article to be warehoused according to the volume of the article to be warehoused;
and determining the third bit grading code of the article to be warehoused according to the weight of the article to be warehoused.
Optionally, the turnover rate of the articles to be warehoused is calculated by adopting the following method:
and calculating the goods picking amount of the goods to be warehoused in a time period closest to the current time.
Optionally, the recommended reserve is further for:
and after at least one recommended storage position which is the same as the multi-bit hierarchical code of the articles to be warehoused is matched according to the multi-bit hierarchical code of the articles to be warehoused, screening out at least one to-be-warehoused position meeting the volume requirement according to the total volume of the articles to be warehoused and the volume of the at least one recommended storage position.
Optionally, the recommended reserve is further for:
and screening out at least one target storage position meeting the requirement of the association degree according to the association degree between the object on the adjacent storage position of the at least one storage position to be determined and the object to be stored according to the total volume of the objects to be stored and the volume of the at least one recommended storage position after screening out at least one storage position to be determined meeting the requirement of the volume.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any of the embodiments described above.
According to another aspect of the embodiments of the present invention, there is also provided a computer readable medium, on which a computer program is stored, which when executed by a processor implements the method of any of the above embodiments.
One embodiment of the above invention has the following advantages or benefits: because the technical means of matching out at least one recommended storage position which is the same as the multi-bit grading code of the articles to be warehoused according to the multi-bit grading code of the articles to be warehoused is adopted, the technical problem that the recommended storage position is not suitable enough in the prior art is solved. The embodiment of the invention utilizes the attributes related to the storage position, the articles and the picking delivery to respectively formulate multi-position grading codes for the storage position and the articles for recommending the shelving storage position. The embodiment of the invention recommends the most suitable current storage position for the articles to be put in storage through the multi-position grading coding of the storage positions and the articles, can flexibly recommend the suitable storage position based on the recent picking quantity of the articles, changes the current situation that the recommendation of the current storage position is fixed and incomplete, and can also avoid the condition that a plurality of articles are distributed dispersedly.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram illustrating a main flow of a bin recommendation method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of matching at least one recommended reserve according to an embodiment of the invention;
FIG. 3 is a schematic view of a main flow of a bin recommendation method according to a reference embodiment of the present invention;
FIG. 4 is a schematic diagram of the main modules of a stock recommendation device according to an embodiment of the invention;
FIG. 5 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 6 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of a main flow of a stock bit recommendation method according to an embodiment of the invention. As an embodiment of the present invention, as shown in fig. 1, the stock bit recommendation method may include:
step 101, determining the multi-bit hierarchical coding of each bin according to the attribute of each bin.
Optionally, for each bin, the multi-bit hierarchical encoding of the bin is determined using: and determining the multi-bit hierarchical coding of the storage bit according to the physical position and the layer height of the storage bit. The attributes corresponding to one storage position mainly comprise a physical position, a layer height, a volume and the like, wherein the physical position comprises a position coordinate and a roadway depth. The position coordinates of each bin in the warehouse already exist at the time of initial mapping of the warehouse; the depth of the roadway is the distance from the storage position to the road junction, and the depth of the roadway can be calculated through the position coordinates of the road junction and the position coordinates of the storage position; the layer height means that the storage position is positioned at the second layer of the shelf and can be obtained from the storage position identification; the volume refers to the total volume of the articles which can be stored in the storage position at most, and can be calculated according to the length, width and height of the storage position and the volume of the articles in the storage position.
Because the influence weight of the storage level attributes on the storage level is difficult to measure, that is, which storage level is higher in the storage levels with depth but moderate layer height, shallow depth but large layer height or small layer height in the same row of shelves cannot be determined, the influence of the attributes is easily counteracted by adopting a weighting calculation method. Therefore, the calculation method provided by the invention can be used for scientifically and accurately calculating the grades of the storage positions and avoiding the mutual offset of the influences among the attributes. Optionally, determining a multi-bit hierarchical coding of the bin according to the physical location and the layer height of the bin comprises: determining the first bit hierarchical coding of the storage position according to the distance from the storage position to an operation platform, or determining the first bit hierarchical coding of the storage position according to a storage area or a roadway where the storage position is located; determining a second bit hierarchical code of the storage position according to the distance from the storage position to the road junction; and determining the third bit hierarchical coding of the reservoir according to the layer height of the reservoir.
The first hierarchical coding represents the distance between the storage position and the ex-warehouse operation platform, and there are two calculation methods: the first method is to calculate the distance from each storage position to the operating platform directly by using coordinates and arrange the storage positions in descending order according to the distance, and then divide a certain proportion of A, B, C, D grades according to the ranking, and the second method is to divide a certain proportion of A, B, C, D grades according to the distance from a tunnel or a storage area to the operating platform by using a larger tunnel or a storage area as a calculation unit. The second method can avoid the disorder of the classification of the storage bit. It should be noted that the first bit hierarchical code of the storage bit can be divided into a plurality of levels, such as two levels, three levels, five levels, etc., and is not limited to the four levels exemplified in the above embodiments. Generally, the closer to the console, the higher the level of the first bit hierarchical encoding of the bin.
The second hierarchical code represents the distance from the storage position to the road junction, and in the same storeroom, the number of the shelves is fixed and contained in the storage position identification, so that the distance from the storage position to the road junction can be directly calculated according to the identification of the storage position. Generally, the closer to the road junction, the higher the level of the second bit-level coding of the bin. Likewise, the second bit hierarchy encoding of the bin may also be divided into a plurality of levels, such as two levels, three levels, four levels, five levels, etc. Generally, the closer to the road junction, the higher the level of the second bit-level coding of the bin.
The third bit hierarchical code represents the layer height of the storage bit, and the middle layer is divided into A levels, and then the levels are expanded upwards and downwards to B, C, D, E and the like. Likewise, the third bit of the bin may be hierarchically encoded into multiple levels, such as two levels, three levels, four levels, five levels, etc. For the six-layer shelf, the third layer and the fourth layer are more in line with the height of an operator, and the third layer and the fourth layer have higher storage level compared with the first layer, the second layer, the fifth layer and the sixth layer of the same shelf.
It should be noted that, according to actual needs, a fourth bit hierarchical code, a fifth bit hierarchical code, and the like may be further added to the storage bit, which is not limited in this embodiment of the present invention.
And 102, determining the multi-bit hierarchical coding of the articles to be warehoused according to the attributes of the articles to be warehoused.
The existing classification method for article grades mainly comprises an ABC classification method. The ABC classification method classifies articles from two aspects of commerce and logistics, and classifies high-value articles which are sold at high speed into A types, low-value articles which are sold at low speed into C types, and the rest articles into B types. The classification method mainly aims at the sale scenes of over-class merchants, but is not suitable for warehouse management. The embodiment of the invention provides the classification basis of the article grades in the warehouse according to different emphasis points in the warehousing process: turnover rate and logistics properties (volume weight), a multi-bit hierarchical encoding corresponding to the multi-bit hierarchical encoding of the reservoir is proposed.
Optionally, determining the multi-bit hierarchical coding of the articles to be warehoused according to the attributes of the articles to be warehoused includes: determining a first bit grading code of the article to be warehoused according to the turnover rate of the article to be warehoused; determining a second bit hierarchical code of the article to be warehoused according to the volume of the article to be warehoused; and determining the third bit grading code of the article to be warehoused according to the weight of the article to be warehoused.
The first bit hierarchical code represents the turnover rate of the item. The turnover rate is expressed by the picking frequency, i.e. the picking amount of the same item within a time period (such as seven days, half a month or a month, etc.), and the items with larger picking amount are preferably placed closer to the delivery console. Optionally, the turnover rate of the article is calculated by the following method: and calculating the goods picking amount of the goods to be warehoused in a time period closest to the current time so as to ensure that the first grading code obtained by calculation is the latest. The bit hierarchical code corresponds to the first bit hierarchical code of the storage bit, and the number of divided stages is the same. Alternatively, the proportion of the quantity of the articles in each grade can be set to be consistent with the proportion of the grade division of the storage position. Specifically, the turnover rate of each article may be calculated first, and the articles may be sorted in descending order according to the descending order of the turnover rates, where the article is ranked higher the earlier the article is in the sorting. Then, the commodity is assigned a rank according to a predetermined number of bins, for example, if there are 100 bins of class a, the article 100 before the turnover rate is class a. And matching the multi-bit grading codes of the articles to be warehoused after the identification of the articles to be warehoused is received. The method for setting the grade according to the real-time turnover rate ranking of the articles in a time period is more flexible, and the proper storage position can be recommended according to the real-time grade change of the articles.
The second bit-level hierarchical encoding represents a volume of the item. Because the picking task is distributed by the collection sheet, the picking quantity of the same article is more than one, when the article is too large in size, an operator needs to carry the article for multiple times, if the depth of the storage position where the article is located is too deep, the walking distance is increased without reason, therefore, the article with larger size should be placed at a position closer to the road junction, the grading code of the one position corresponds to the second grading code of the storage position, and the grading number is the same. The volume of the articles is obtained by the collected physical distribution attributes, the standard of grade division can be given according to the empirical value, and the volume sorting and the grade division can be carried out firstly.
The third bit of the hierarchical encoding represents the weight of the item. In view of safety and convenience of operation, lighter articles should be placed on the upper or lower layer of the shelf, and heavier articles should be placed on the middle layer of the shelf for easy access. The hierarchical coding of the bit corresponds to the third hierarchical coding of the storage bit, and the divided levels are the same. The weight of the articles is obtained from the collected physical distribution attributes, the standard of grade division can be given according to the empirical value, and the weight sorting and the grade division can be carried out firstly.
And 103, matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused.
After the multi-bit hierarchical codes of the storage positions and the multi-bit hierarchical codes of the articles to be warehoused are obtained through the step 101 and the step 102, at least one recommended storage position which is the same as the multi-bit hierarchical codes of the articles to be warehoused can be matched from the storage positions.
As shown in fig. 2, the identifier of the article to be warehoused is obtained, and the three-bit hierarchical code is determined to be ABA according to the turnover rate, the volume and the weight of the article to be warehoused, so that a plurality of recommended storage positions with three-bit hierarchical codes also being ABA are matched from the warehouse, and the three-bit hierarchical code shown in fig. 2 is "ABA" 4 storage positions.
According to the various embodiments, the technical means that at least one recommended storage position which is the same as the multi-bit grading code of the articles to be warehoused is matched according to the multi-bit grading code of the articles to be warehoused solves the technical problem that the recommended storage position is not suitable enough in the prior art. The embodiment of the invention utilizes the attributes related to the storage position, the articles and the picking delivery to respectively formulate multi-position grading codes for the storage position and the articles for recommending the shelving storage position. The embodiment of the invention recommends the most suitable current storage position for the articles to be put in storage through the multi-position grading coding of the storage positions and the articles, can flexibly recommend the suitable storage position based on the recent picking quantity of the articles, changes the current situation that the recommendation of the current storage position is fixed and incomplete, and can also avoid the condition that a plurality of articles are distributed dispersedly.
Fig. 3 is a schematic diagram illustrating a main flow of a stock bit recommendation method according to a reference embodiment of the present invention. As another embodiment of the present invention, as shown in fig. 3, the stock allocation recommending method may include the following steps:
step 301, determining the multi-bit hierarchical coding of each storage bit according to the attribute of each storage bit, and establishing the corresponding relation between the storage bit identification and the multi-bit hierarchical coding.
Step 302, determining the multi-bit hierarchical coding of each article according to the attribute of each article, and establishing the corresponding relation between the article identification and the multi-bit hierarchical coding.
Step 303, acquiring an identifier of an article to be warehoused, and determining a multi-bit hierarchical code of the article to be warehoused according to the corresponding relationship between the article identifier and the multi-bit hierarchical code.
And 304, matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused from each storage position according to the multi-bit hierarchical code of the article to be warehoused.
And 305, screening out at least one position to be stored which meets the volume requirement according to the total volume of the articles to be stored and the volume of the at least one recommended storage position.
When the operation of putting on shelf, the operator needs to scan the article bar code to obtain the article information and input the number of putting on shelf. Therefore, the storage space required by shelving can be calculated according to the article attributes, and then at least one to-be-determined storage position meeting the shelving condition (the available storage space is larger than or equal to the storage space required by shelving) is screened out based on the available storage space in each recommended storage position.
In addition to the checking of the storage space, there are some established screening rules, such as the principle of the owner of goods, the same items of different owners of goods cannot be put on the shelf to the same storage space, and other specific rules of putting on shelf, based on the warehouse, can be used as the basis for further screening the storage space to be screened, which is not limited in the embodiment of the present invention.
And step 306, screening out at least one target storage position meeting the requirement of the association degree according to the association degree between the article on the adjacent storage position of the at least one to-be-stored position and the article to be stored in the warehouse.
After the storage space is checked, the target storage can be further screened out according to the article relevance. The relevance of the goods is also an important influence factor influencing the ex-warehouse efficiency. If there is a strong correlation between two items, i.e. there is a high probability of simultaneous occurrence in the same order, then the two items are preferably placed in close proximity bins. Item association analysis is mainly based on order dimensions, and adopts a data mining algorithm of some association rules, for example: apriori algorithm, FP-tree algorithm, etc., which will not be described in detail herein.
In the embodiment, the storage space calculation and the order item association degree are adopted to calculate the refined recommendation range, and finally the most appropriate target storage is screened out.
In addition, in one embodiment of the present invention, the detailed implementation of the bin recommendation method is described in detail above, so that the repeated description is not repeated here.
The display mode of the existing storage place recommendation is to display the recommended storage place identification on a handheld terminal of an operator, and for operators unfamiliar with the storage place numbering rule, a large amount of time is wasted in searching for the storage places, so that in actual situations, the storage places are not on shelf according to the recommendation, and more than all the storage places are on shelf to be empty in a nearby principle. In order to solve the problem, in the embodiment of the present invention, after at least one target reserve meeting the requirement of the degree of association is screened out, the target reserve is displayed in the visual warehouse.
In the embodiment of the invention, after the operator scans the article identifier, the background calculates at least one target storage position according to the storage position recommendation method of the invention, and the target storage position is highlighted on the map, so that the operator can visually see the positions of the target storage positions in the warehouse. In addition, because the displayed map is a two-dimensional space, an entire column of shelves is positioned in the map, and therefore the handheld terminal interface of the operator still displays the identification of the target storage positions for shelving.
According to the embodiment of the invention, the storage place recommendation and the visual map are combined, the shelving difficulty is reduced, the standup storage place normalization is favorably improved, and the target storage place can be highlighted on the map only by scanning the article codes and inputting the shelving quantity by an operator, so that the method is more visual and convenient, and the operator can quickly find the target storage place, thereby improving the shelving speed.
Fig. 4 is a schematic diagram of main modules of a stock bit recommending apparatus according to an embodiment of the present invention, and as shown in fig. 4, the stock bit recommending apparatus 400 includes a first encoding module 401, a second encoding module 402 and a recommending module 403. Wherein the first encoding module 401 is configured to determine a multi-bit hierarchical encoding of each bin according to an attribute of the each bin; the second coding module 402 is configured to determine multi-bit hierarchical coding of the articles to be warehoused according to attributes of the articles to be warehoused; the recommending module 403 is configured to match at least one recommended storage location that is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused.
Optionally, the first encoding module 401 is further configured to:
for each bin, determining a multi-bit hierarchical encoding of the bin using:
and determining the multi-bit hierarchical coding of the storage bit according to the physical position and the layer height of the storage bit.
Optionally, the first encoding module 401 is further configured to:
determining the first bit hierarchical coding of the storage position according to the distance from the storage position to an operation platform, or determining the first bit hierarchical coding of the storage position according to a storage area or a roadway where the storage position is located;
determining a second bit hierarchical code of the storage position according to the distance from the storage position to the road junction;
and determining the third bit hierarchical coding of the reservoir according to the layer height of the reservoir.
Optionally, the second encoding module 402 is further configured to:
determining a first bit grading code of the article to be warehoused according to the turnover rate of the article to be warehoused;
determining a second bit hierarchical code of the article to be warehoused according to the volume of the article to be warehoused;
and determining the third bit grading code of the article to be warehoused according to the weight of the article to be warehoused.
Optionally, the turnover rate of the articles to be warehoused is calculated by adopting the following method:
and calculating the goods picking amount of the goods to be warehoused in a time period closest to the current time.
Optionally, the recommendation storage 403 is further configured to:
and after at least one recommended storage position which is the same as the multi-bit hierarchical code of the articles to be warehoused is matched according to the multi-bit hierarchical code of the articles to be warehoused, screening out at least one to-be-warehoused position meeting the volume requirement according to the total volume of the articles to be warehoused and the volume of the at least one recommended storage position.
Optionally, the recommendation storage 403 is further configured to:
and screening out at least one target storage position meeting the requirement of the association degree according to the association degree between the object on the adjacent storage position of the at least one storage position to be determined and the object to be stored according to the total volume of the objects to be stored and the volume of the at least one recommended storage position after screening out at least one storage position to be determined meeting the requirement of the volume.
According to the various embodiments, the technical means that at least one recommended storage position which is the same as the multi-bit grading code of the articles to be warehoused is matched according to the multi-bit grading code of the articles to be warehoused solves the technical problem that the recommended storage position is not suitable enough in the prior art. The embodiment of the invention utilizes the attributes related to the storage position, the articles and the picking delivery to respectively formulate multi-position grading codes for the storage position and the articles for recommending the shelving storage position. The embodiment of the invention recommends the most suitable current storage position for the articles to be put in storage through the multi-position grading coding of the storage positions and the articles, can flexibly recommend the suitable storage position based on the recent picking quantity of the articles, changes the current situation that the recommendation of the current storage position is fixed and incomplete, and can also avoid the condition that a plurality of articles are distributed dispersedly.
It should be noted that, in the implementation of the bit recommendation apparatus of the present invention, the details of the bit recommendation method are already described in detail, and therefore, the repeated description is not repeated here.
Fig. 5 shows an exemplary system architecture 500 to which the bin recommendation method or the bin recommendation apparatus according to the embodiments of the present invention can be applied.
As shown in fig. 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504, and a server 505. The network 504 serves to provide a medium for communication links between the terminal devices 501, 502, 503 and the server 505. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. The terminal devices 501, 502, 503 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 501, 502, 503 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 505 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 501, 502, 503. The background management server may analyze and otherwise process the received data such as the item information query request, and feed back a processing result (for example, target push information, item information — just an example) to the terminal device.
It should be noted that the stock level recommendation method provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, the stock level recommendation apparatus is generally disposed in the server 505. The storage position recommendation method provided by the embodiment of the invention can also be executed by the terminal equipment 501, 502 and 503, and correspondingly, the storage position recommendation device can be arranged in the terminal equipment 501, 502 and 503.
It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present invention, a computer 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. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer programs according to various embodiments of the present invention. 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 or flowchart illustration, and combinations of blocks in the block diagrams 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.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a first encoding module, a second encoding module, and a recommending module, wherein the names of the modules do not in some way constitute a limitation on the modules themselves.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: determining a multi-bit hierarchical code for each bin according to the attribute of the respective bin; determining multi-bit grading codes of the articles to be warehoused according to the attributes of the articles to be warehoused; and matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused.
According to the technical scheme of the embodiment of the invention, because the technical means of matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the articles to be warehoused is adopted according to the multi-bit hierarchical code of the articles to be warehoused, the technical problem that the recommended storage position is not suitable in the prior art is solved. The embodiment of the invention utilizes the attributes related to the storage position, the articles and the picking delivery to respectively formulate multi-position grading codes for the storage position and the articles for recommending the shelving storage position. The embodiment of the invention recommends the most suitable current storage position for the articles to be put in storage through the multi-position grading coding of the storage positions and the articles, can flexibly recommend the suitable storage position based on the recent picking quantity of the articles, changes the current situation that the recommendation of the current storage position is fixed and incomplete, and can also avoid the condition that a plurality of articles are distributed dispersedly.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A stock allocation recommendation method is characterized by comprising the following steps:
determining a multi-bit hierarchical code for each bin according to the attribute of the respective bin;
determining multi-bit grading codes of the articles to be warehoused according to the attributes of the articles to be warehoused;
and matching at least one recommended storage position which is the same as the multi-bit hierarchical code of the article to be warehoused according to the multi-bit hierarchical code of the article to be warehoused.
2. The method of claim 1, wherein determining a multi-bit hierarchical encoding for each bin based on attributes of the respective bin comprises:
for each bin, determining a multi-bit hierarchical encoding of the bin using:
and determining the multi-bit hierarchical coding of the storage bit according to the physical position and the layer height of the storage bit.
3. The method of claim 2, wherein determining a multi-bit hierarchical encoding of the bin based on the physical location and the layer height of the bin comprises:
determining the first bit hierarchical coding of the storage position according to the distance from the storage position to an operation platform, or determining the first bit hierarchical coding of the storage position according to a storage area or a roadway where the storage position is located;
determining a second bit hierarchical code of the storage position according to the distance from the storage position to the road junction;
and determining the third bit hierarchical coding of the reservoir according to the layer height of the reservoir.
4. The method according to claim 1, wherein determining a multi-bit hierarchical encoding of the items to be warehoused according to attributes of the items to be warehoused comprises:
determining a first bit grading code of the article to be warehoused according to the turnover rate of the article to be warehoused;
determining a second bit hierarchical code of the article to be warehoused according to the volume of the article to be warehoused;
and determining the third bit grading code of the article to be warehoused according to the weight of the article to be warehoused.
5. The method according to claim 4, wherein the turnover rate of the articles to be warehoused is calculated by adopting the following method:
and calculating the goods picking amount of the goods to be warehoused in a time period closest to the current time.
6. The method according to claim 1, wherein after matching at least one recommended storage location that is the same as the multi-bit hierarchical code of the items to be warehoused according to the multi-bit hierarchical code of the items to be warehoused, the method further comprises:
and screening out at least one to-be-stored position meeting the volume requirement according to the total volume of the to-be-stored articles and the volume of the at least one recommended storage position.
7. The method according to claim 6, wherein after screening out at least one to-be-stored position meeting a volume requirement according to the total volume of the to-be-stored items and the volume of the at least one recommended storage position, the method further comprises:
and screening out at least one target storage position meeting the requirement of the association degree according to the association degree between the article on the adjacent storage position of the at least one storage position to be stored and the article to be stored in the warehouse.
8. A stock level recommendation device, comprising:
the first coding module is used for determining multi-bit hierarchical coding of each storage bit according to the attribute of each storage bit;
the second coding module is used for determining multi-bit hierarchical coding of the articles to be warehoused according to the attributes of the articles to be warehoused;
and the recommending module is used for matching out at least one recommended storage position which is the same as the multi-bit grading code of the article to be warehoused according to the multi-bit grading code of the article to be warehoused.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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