CN111382974A - Method and device for determining shelf position, warehousing system and computer equipment - Google Patents
Method and device for determining shelf position, warehousing system and computer equipment Download PDFInfo
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Abstract
The application relates to a method and a device for determining a shelf position, a warehousing system, computer equipment and a storage medium. Wherein, the method comprises the following steps: the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders; obtaining the type information of commodities placed on each shelf in a plurality of shelves; obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the type information of the commodities placed on each goods shelf; obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations; and obtaining the target position to be placed on each shelf determined in the candidate positions of the plurality of shelves according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations. According to the method and the system, the placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, and therefore the accuracy of the placing position of the goods shelf can be improved.
Description
Technical Field
The present application relates to the field of logistics technology, and in particular, to a method and an apparatus for determining a shelf position, a warehousing system, a computer device, and a computer-readable storage medium.
Background
In the warehouse operation process, the shelf position has an important influence on the order picking process, the reasonable shelf position can effectively reduce the order production time, and the warehouse production efficiency is improved.
In conventional methods of determining shelf location, a random or proximity strategy is typically used to address the shelves. However, the above method only considers the convenience of the scheduling policy and does not consider optimizing the global shelf and commodity layout, which may result in inefficient order production of the warehouse.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for determining shelf positions, a warehousing system, a computer device and a computer readable storage medium for solving the technical problem that the conventional method for determining shelf positions results in low order production efficiency of warehouses.
A method of determining shelf position, the method comprising:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the category information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position of each shelf, which is determined in the candidate positions of the plurality of shelves, to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
In an exemplary embodiment, the degree of association of the shelves with the order includes a score for each shelf;
obtaining the association degree between the goods shelf and the order according to the order information of each order to be processed and the category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
performing correlation analysis on all commodities required by the order to be processed according to the order information of each order to be processed to obtain a plurality of commodity combinations;
obtaining the number of the commodity combinations contained in each shelf according to the plurality of commodity combinations and the type information of the commodities placed on each shelf;
and determining the score of each shelf according to the number of the plurality of commodity combinations and the number of the commodity combinations contained in each shelf.
In an exemplary embodiment, determining the score for each shelf based on the number of the plurality of combinations of items and the number of combinations of items included in each shelf comprises:
obtaining the number of types of commodities, which are placed on each shelf and matched with the order to be processed, according to the order information of each order to be processed and the type information of the commodities placed on each shelf, wherein the commodities matched with the order to be processed are the commodities required by the order to be processed;
and determining the score of each shelf according to the number of the commodity combinations, the number of the commodity combinations contained in each shelf, the number of the kinds of commodities which are placed on each shelf and matched with the order to be processed and the number of the kinds of commodities required by the plurality of orders to be processed.
In an exemplary embodiment, determining the score for each shelf according to the number of the plurality of combinations of items, the number of combinations of items included in each shelf, the number of types of items placed on each shelf that match the pending order, and the number of types of items required for the plurality of pending orders comprises:
calculating a first ratio of the number of commodity combinations contained in each shelf to the number of the plurality of commodity combinations;
calculating a second ratio of the number of the types of the commodities placed on each shelf and matched with the orders to be processed to the number of the types of the commodities required by the orders to be processed;
and accumulating the first ratio and the second ratio to obtain the score of each shelf.
In an exemplary embodiment, the method further comprises:
acquiring order information of a processed order in a preset time period, wherein the order information comprises the type information of a commodity required by the order;
obtaining the association degree between the goods shelf and the order according to the order information of each order to be processed and the category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
aggregating the order information of the order to be processed and the order information of the processed order to obtain the order information of all orders;
and obtaining the association degree of the goods shelves and the orders according to the order information of all the orders and the type information of the commodities placed on each goods shelf.
In an exemplary embodiment, the degree of association of the shelves with the order includes a score for each shelf;
obtaining the association degree between the goods shelves and the orders according to the order information of all the orders and the type information of the commodities placed on each goods shelf, wherein the association degree comprises the following steps:
performing correlation analysis on the commodities required by all the orders according to the order information of all the orders to obtain a plurality of commodity combinations;
obtaining the number of the commodity combinations contained in each shelf according to the plurality of commodity combinations and the type information of the commodities placed on each shelf;
obtaining the number of the types of the commodities, which are placed on each shelf and matched with all the orders, according to the order information of all the orders and the type information of the commodities, which are placed on each shelf, wherein the commodities, which are matched with all the orders, are the commodities required by all the orders;
and determining the score of each shelf according to the number of the plurality of commodity combinations, the number of the commodity combinations contained in each shelf, the number of the kinds of commodities placed on each shelf and matched with all orders and the number of the kinds of commodities required by all orders.
In an exemplary embodiment, obtaining the target position where each shelf determined in the candidate positions of the plurality of placeable shelves should be placed according to the association degree of the shelf with the order, the candidate positions of the plurality of placeable shelves, and the positions of the plurality of stations includes:
determining a score for each candidate location based on the plurality of shelf placeable candidate locations and the locations of the plurality of sites;
constructing a corresponding bipartite graph according to the association degree of the goods shelf and the order and the score of each candidate position;
and performing maximum matching operation on the bipartite graph, and determining a target position where each shelf is to be placed.
In an exemplary embodiment, determining a score for each candidate location based on the plurality of shelf placeable candidate locations and the locations of the plurality of sites comprises:
calculating a harmonic mean of the distance from each candidate location to all the sites based on the plurality of shelf placeable candidate locations and the plurality of sites locations;
determining the harmonic mean as a score for each candidate location.
In an exemplary embodiment, constructing a respective bipartite graph from the association of the shelves with orders and the score for each candidate location comprises:
and constructing a bipartite graph obtained by connecting each shelf and each candidate position according to the score of each shelf and the score of each candidate position, wherein a connecting line connecting each shelf and each candidate position is provided with a weight, and the weight is the product of the score of each shelf and the score of each candidate position.
An apparatus for determining shelf position, the apparatus comprising:
the order information acquisition module is used for acquiring order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the order;
the commodity type acquisition module is used for acquiring the type information of commodities placed on each of the plurality of shelves;
the association information determining module is configured to obtain an association degree between the shelf and the order according to the order information of each to-be-processed order acquired by the order information acquiring module and the category information of the commodity placed on each shelf acquired by the commodity category acquiring module, where the association degree is used to represent a degree of adaptation between the shelf and the order;
the system comprises a position information acquisition module, a storage module and a storage module, wherein the position information acquisition module is used for acquiring candidate positions of a plurality of shelves and acquiring positions of a plurality of stations;
and the target position determining module is used for obtaining the target position of each shelf determined in the candidate positions of the plurality of shelves according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
A warehousing system, the system comprising:
a plurality of shelves;
a shelf position determining apparatus for performing the method of any of the above embodiments;
and the transportation system is used for transporting each shelf to the corresponding target position according to the target position, which is determined by the shelf position determining equipment, of each shelf to be placed so as to pick the goods.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the category information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position of each shelf, which is determined in the candidate positions of the plurality of shelves, to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the category information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position of each shelf, which is determined in the candidate positions of the plurality of shelves, to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
According to the method and the device for determining the shelf position, the warehousing system, the computer equipment and the computer readable storage medium, firstly, the association degree of the shelf and the order is determined according to the type information of the goods required by the order to be processed and the type information of the goods placed on the shelf, and then the matching between the shelf and the position is carried out according to the association degree of the shelf and the order, the candidate position where the shelf can be placed and the position of the station, so that the target position where each shelf is to be placed is determined. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
Drawings
FIG. 1 is a diagram of an exemplary implementation of a method for determining shelf location;
FIG. 2 is a schematic flow diagram of a method for determining shelf position in one embodiment;
FIG. 3 is a flow diagram illustrating a replenishment scheme for determining a level of association of a shelf with an order under one embodiment;
FIG. 4 is a schematic flow chart illustrating a replenishment scheme for determining a degree of association of a rack with an order according to another embodiment;
FIG. 5 is a schematic flow chart illustrating a replenishment scheme for determining a target location to which each shelf should be placed in accordance with another embodiment;
FIG. 6 is a block diagram showing the structure of a shelf position determining apparatus according to an embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for determining the shelf position provided by the application can be applied to the application environment shown in fig. 1. The shelf position determining device 102 is connected to the warehouse management device 104 and the order database 106, and the warehouse management device 104 is connected to the shelves 108 in the warehouse for implementing unified management of the shelves according to the shelf information.
Specifically, the shelf location determining device 102 first obtains order information from the order database 106, and receives the information on the type of the commodity placed on each shelf, the plurality of candidate locations where the shelf can be placed, and the plurality of site locations, which are transmitted from the warehouse management device 104. Next, the shelf position determination device 102 obtains the degree of association of the shelf with the order from the order information and the type information of the product placed on each shelf. Next, matching of the shelf and the candidate position is performed according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the plurality of station positions, so as to determine the target position where each shelf should be placed in the candidate positions of the plurality of placeable shelves. It can be appreciated that the shelf location determining device 102 combines the order information, the shelf information, and the location distribution information as a comprehensive consideration for selecting a shelf location, which is beneficial to optimizing the shelf location to improve the order efficiency of the warehouse.
The shelf location determining device 102 and the warehouse management device 108 may be, but are not limited to, various servers (such as a local server or a cloud server), personal computers, laptops, smartphones, tablets, portable wearable devices, and the like.
Alternatively, the method for determining the shelf position according to the embodiment of the present application may be specifically applied to a goods-to-person (GTP) warehouse. In the goods-to-people warehouse, a warehouse management system (wms) automatically schedules robots to carry goods shelves in the warehouse to respective stations, and order picking operations are performed at the respective stations by workers.
In an exemplary embodiment, as shown in fig. 2, a method for determining a shelf position is provided, which is described by taking the method as an example applied to the shelf position determining apparatus 102 in fig. 1, and specifically can be implemented by the following steps:
step S202, obtaining order information of each order to be processed in a plurality of orders to be processed.
The order information comprises the type information of the commodities required by the order.
Specifically, after the generation of the to-be-processed order is detected, the order information of each to-be-processed order can be stored in the order database, so that the management of the order information and the follow-up calling at any time when needed are facilitated. In general, the order information of the to-be-processed orders stored in the order database is large, and therefore, the shelf position determination device may read the order information of each to-be-processed order from the order database. Alternatively, the shelf position determination device may read the order information of the order to be processed in the preset time interval from the order database according to the preset time interval. Optionally, after the pending order is processed, the order database may delete the order information of the order, so as to release the storage space.
In step S204, information on the type of the commodity placed on each of the plurality of shelves is acquired.
Specifically, the kind information of the commodity placed on each shelf is generally stored in the warehouse management device. To acquire this information, the shelf position determining apparatus may issue an information acquisition request to the warehouse management apparatus, and may thereby receive the kind information of the commodity placed on each shelf, which the warehouse management apparatus transmits in response to the request.
Step S206, obtaining the association degree between the goods shelves and the orders according to the order information of each order to be processed and the type information of the commodities placed on each goods shelf.
Wherein the degree of association is used for representing the degree of adaptation between the goods shelf and the order. Generally, a higher degree of association indicates that the shelf is more compatible with the order, so that the order task for the order is more easily assigned to the shelf to facilitate picking the items needed for the order from the shelf. Conversely, the lower the relevance, the poorer the adaptability of the shelf to the order, and the disfavor of allocating the order task of the order to the shelf.
Specifically, after obtaining the order information of a plurality of orders to be processed and the category information of the commodities placed on a plurality of shelves, the shelf position determination device matches the category information of the commodities required for the orders and the category information of the commodities placed on the shelves to obtain the degree of association between the shelves and the orders. The degree of association may reflect the degree of relevance of the shelf to the order.
In step S208, candidate positions for placing shelves are obtained, and positions of a plurality of stations are obtained.
Specifically, generally, the candidate positions where the shelves can be placed and the positions of the stations are stored and issued by the warehouse management device, and therefore, the shelf position determination device can obtain a plurality of candidate positions where the shelves can be placed and positions of a plurality of stations through the warehouse management device.
Step S210, according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations, obtaining the target position to be placed on each shelf determined in the candidate positions of the plurality of shelves.
Specifically, the shelf position determination device performs matching between the shelf and the candidate position based on the information after obtaining the association degree between the shelf and the order, the candidate positions where the shelf can be placed, and the positions of the plurality of stations, and the obtained matching result is the target position where each shelf should be placed. Optionally, maximum matching, perfect matching or Hungarian algorithm of bipartite graphs can be adopted to process the information, and the matching task of the goods shelf and the candidate position is completed.
The method for determining the shelf position comprises the steps of determining the association degree of a shelf and an order according to the category information of goods required by the order to be processed and the category information of goods placed on the shelf, and then matching the shelf with the position according to the association degree of the shelf and the order, the candidate position where the shelf can be placed and the position of a station, so that the target position where each shelf is to be placed is determined. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
In an exemplary embodiment, the degree of association of a shelf to an order may be represented by calculating a score for each shelf. On the basis, in an exemplary embodiment, the method relates to a possible implementation process of obtaining the association degree of the goods shelf and the order according to the order information of each order to be processed and the category information of the goods placed on each goods shelf. Specifically, referring to fig. 3, step S206 can be implemented by the following steps:
step S2062, performing association analysis on all the commodities required by each to-be-processed order according to the order information of each to-be-processed order, so as to obtain a plurality of commodity combinations.
Specifically, first, the shelf position determining device performs association analysis on all the products required by the order to be processed through an association analysis algorithm, such as Apriori or FP-tree algorithm, according to the order information of each order to be processed, so as to obtain at least one product combination. Optionally, a frequency threshold may be preset, and the commodity combination with the frequency greater than or equal to the frequency threshold is selected as the finally determined commodity combination. For example, a plurality of products appearing in the same order more than a set threshold are set as one product combination. For example, if 100 orders have both milk and bread present, and the threshold is set to 80, then the milk and bread may be combined as a single item.
Step S2064 is performed to obtain the number of product combinations included in each shelf based on the plurality of product combinations and the information on the types of products placed on each shelf.
Specifically, first, the shelf position determination device combines the commodities placed on the respective shelves according to the kind information of the commodity placed on each shelf, to obtain at least one commodity combination. Next, the shelf position determining device matches the commodity combination corresponding to the shelf with the commodity combination corresponding to the order to be processed, respectively, and the successfully matched commodity combination is the commodity combination contained in each shelf. And finally, counting the number of the commodity combinations contained in each shelf. For example, the commodity combination includes two combination methods of "commodity a, commodity b" and "commodity b, commodity c", and the commodity a, the commodity b, the commodity d, and the commodity e are placed on the shelf a, and by combining and matching the commodity combination with the two combination methods, only the commodity a and the commodity b finally belong to the commodity combination included in the shelf, and the corresponding number is 1.
In step S2066, the score for each shelf is determined based on the number of the plurality of combinations of items and the number of combinations of items included in each shelf.
Specifically, the shelf position determining device calculates the score of each shelf according to the number of the plurality of combinations of commodities and the number of combinations of commodities included in each shelf, and according to a preset score calculation formula. The score of the shelf can reflect the matching degree of the shelf and the order to a certain extent. Generally speaking, the higher the score of the shelf is, the higher the similarity between the goods placed on the shelf and the goods required by the order is, the order task is allocated to the shelf with the higher similarity, the purpose of completing order production by selecting fewer shelves can be realized, and the order production efficiency can be improved.
In the embodiment of the application, the commodity combination is obtained by analyzing the relevance of the commodities, and the commodity combination is beneficial to realizing the quick and accurate matching of the goods shelf and the order, so that the order production efficiency can be further improved.
In an exemplary embodiment, one possible implementation involves determining a score for each shelf based on the number of multiple combinations of items and the number of combinations of items contained by each shelf. On the basis of the above embodiment, step S2066 may be specifically implemented by the following steps:
step S206a, obtaining the number of types of the commodities placed on each shelf and matching the to-be-processed order according to the order information of each to-be-processed order and the type information of the commodities placed on each shelf, where the commodity matching the to-be-processed order is a commodity required by the to-be-processed order.
Specifically, the shelf position determination device determines the number of types of the items required for placing the order to be processed on each shelf, based on the type information of the items required for each order to be processed and the type information of the items placed on each shelf. For example, if the type information of the product required for the order to be processed includes "product a, product b", and the type information of the product placed on the shelf includes "product a, product b, product c", the type of the product placed on the shelf matching the order to be processed is "product a, product b", and the number of the corresponding types is 2.
Step S206b determines a score for each shelf based on the number of the plurality of combinations of items, the number of combinations of items included in each shelf, the number of types of items placed on each shelf that match the order to be processed, and the number of types of items required for the plurality of orders to be processed.
Specifically, the shelf position determination apparatus determines the score of each shelf based on the number of the plurality of combinations of commodities, the number of combinations of commodities included in each shelf, the number of kinds of commodities placed on each shelf that match the order to be processed, and the number of kinds of commodities required for the plurality of orders to be processed. Optionally, there are various implementations of step S206b, and only a few implementations are listed below:
the implementation mode is as follows: calculating a first ratio of the number of commodity combinations contained in each shelf to the number of at least one commodity combination; calculating a second ratio of the number of the types of the commodities which are placed on each shelf and matched with the orders to be processed to the number of the types of the commodities required by the plurality of orders to be processed; and accumulating the first ratio and the second ratio to obtain the score of each shelf.
The implementation mode two is as follows: calculating a first ratio of the number of commodity combinations contained in each shelf to the number of at least one commodity combination; calculating a second ratio of the number of the types of the commodities which are placed on each shelf and matched with the orders to be processed to the number of the types of the commodities required by the plurality of orders to be processed; calculating the product of the first ratio and a preset first weight to obtain a first product result; and calculating the product of the second ratio and a preset second weight to obtain a second product result, and accumulating the first product result and the second product result to obtain the score of each shelf.
The implementation mode is three: calculating the product of the number of the commodity combinations contained in each shelf and the number of the types of the commodities required by the plurality of orders to be processed to obtain a third product result, calculating the product of the number of the commodities, which are placed on each shelf and are matched with the orders to be processed, and the number of at least one commodity combination to obtain a fourth product result, accumulating the third product result and the fourth product result to obtain a first accumulation result, calculating the product of the number of at least one commodity combination and the number of the commodities required by the plurality of orders to be processed to obtain a fifth product result, and calculating the ratio of the first accumulation result and the fifth product result to obtain the score of each shelf.
In the embodiment of the application, the relevance between the commodities required by the order and the commodities placed on the goods shelf is taken as a consideration factor, so that the goods shelf and the order can be quickly and accurately matched, and the order production efficiency can be further improved.
In an exemplary embodiment, the method further comprises the steps of:
step S203, obtaining order information of the processed order within a preset time period.
Likewise, the order information includes information on the type of the product required for the order. In particular, the shelf position determining apparatus may also obtain order information of the processed order. Optionally, the shelf position determining device obtains order information of processed orders within a preset time period, for example, order information of processed orders before a week or a half month. Alternatively, the shelf position determining apparatus may obtain the pending order and the processed order in a preset sampling ratio.
Further, in an exemplary embodiment, a possible implementation process for obtaining the association degree of the shelf and the order is related to the order information of each order to be processed and the category information of the goods placed on each shelf. On the basis of the above embodiment, referring to fig. 4, S206 can be specifically implemented by the following steps:
step S222, aggregating the order information of the to-be-processed order and the order information of the processed order to obtain the order information of all orders. The information of the order to be processed and the information of the processed order are merged to obtain the information of all the orders.
Step S224, obtaining the association degree between the goods shelves and the orders according to the order information of all the orders and the type information of the goods placed on each goods shelf.
Specifically, the shelf position determination device aggregates the order information of the to-be-processed order and the order information of the processed order to obtain the order information of all orders. Next, the shelf position determination device obtains the degree of association between the shelf and the order from the order information of all orders and the type information of the commodity placed on each shelf.
Alternatively, the implementation process of step S224 may be: firstly, the shelf position determining equipment performs correlation analysis on the commodities required by all orders according to the order information of all orders to obtain a plurality of commodity combinations. Next, the shelf position determining device obtains the number of combinations of commodities included in each shelf from the plurality of combinations of commodities and the information on the types of commodities placed on each shelf. Next, the shelf position determination device obtains the number of types of the goods placed on each shelf and matching with all the orders according to the order information of all the orders and the type information of the goods placed on each shelf, wherein the goods matching with all the orders are the goods required by all the orders. Next, the shelf position determination apparatus determines a score for each shelf based on the number of the plurality of combinations of items, the number of combinations of items included in each shelf, the number of types of items placed on each shelf that match all orders, and the number of types of items required for all orders.
In the embodiment of the application, the processed orders and the unprocessed orders are used as order data to determine the shelf positions, the processed orders can represent the historical trend of site selection, the unprocessed orders can adjust the shelf positions in time to achieve the optimal position, and the combination of the processed orders and the unprocessed orders is beneficial to improving the accuracy of shelf position selection.
In an exemplary embodiment, a possible implementation process for obtaining a target position to place each shelf determined in a plurality of candidate positions to place the shelf is related to the association degree of the shelf and the order, the candidate positions to place the shelf and the positions of a plurality of stations. On the basis of the above embodiment, referring to fig. 5, step S210 includes the following steps:
in step S2102, a score is determined for each candidate position based on the plurality of shelf possible candidate positions and the positions of the plurality of sites.
Specifically, the shelf position determination device calculates a score for each candidate position based on a plurality of candidate positions where a shelf can be placed and positions of a plurality of sites. In an exemplary embodiment, the shelf location determining apparatus calculates a harmonic mean of distances to all sites for each candidate location based on a plurality of shelf placeable candidate locations and locations of a plurality of sites, and determines the harmonic mean as a score for each candidate location. Wherein the harmonic mean is the reciprocal of the arithmetic mean of the reciprocals of the statistical variables of the population. In another exemplary embodiment, the shelf position determining apparatus calculates a weighted average of distances to all the sites for each candidate position from a plurality of shelf placeable candidate positions and positions of a plurality of sites, and determines the weighted average as a score for each candidate position. Wherein, the weighted average is to multiply each value by the corresponding weight, then add up and sum up to get the total value, and then divide by the total number of units. Alternatively, the distance from each candidate position to all stations may be manhattan distances.
Step S2104, a corresponding bipartite graph is constructed according to the relevance between the goods shelf and the order and the score of each candidate position.
Wherein, the bipartite graph is a special model in graph theory. Let G ═ V, E be an undirected graph, and if vertex V can be partitioned into two mutually disjoint subsets (a, B), and the two vertices i and j associated with each edge (i, j) in the graph belong to the two different sets of vertices (i in a, j in B), respectively, graph G is called a bipartite graph.
Specifically, the shelf position determination device constructs a bipartite graph in which each shelf is connected to each candidate position, based on the score of each shelf and the score of each candidate position. In the bipartite graph, all shelves may be represented by a set of vertices a, all candidate locations may be represented by a set of vertices B, and any shelf has a continuous edge to any candidate location, and the continuous edge is given a weight that is the product of the score of each shelf and the score of each candidate location.
Step S2106, performs maximum matching operation on the bipartite graph, and determines a target position where each shelf should be placed.
Specifically, the shelf position determining device performs the maximum matching operation on the bipartite graph, and can determine a target position at which each shelf should be placed. It should be understood that after the bipartite graph is constructed according to the embodiment of the present invention, the existing or future maximum matching operation may be performed on the bipartite graph to determine the target position of each shelf, and the method of the maximum matching operation is not limited in the present application.
In the embodiment of the application, the maximum matching problem is solved by adopting a bipartite graph maximum matching mode, the target position where the goods shelf is to be placed is calculated, and the optimization of the placing position of the goods shelf is realized.
The method for determining the shelf position can realize optimization of the shelf position in idle time of a warehouse and recommendation of the shelf position in busy time. Optionally, in an exemplary embodiment, the method further includes: when the target position where the shelf is to be placed is occupied, the position where the shelf can be placed closest to the target position is acquired as the final placement position of the shelf. In the embodiment, considering the situation that the target position is possibly occupied, in this case, the vacant position closest to the target position is selected as the final placement position of the shelf, so that the production efficiency of the order can be effectively improved.
It should be understood that although the various steps in the flow charts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In an exemplary embodiment, as shown in fig. 6, a shelf position determining apparatus 30 is provided, wherein the shelf position determining apparatus 30 includes:
the order information acquiring module 302 is configured to acquire order information of each to-be-processed order in a plurality of to-be-processed orders, where the order information includes category information of a commodity required by the order;
a commodity kind acquisition module 304 for acquiring kind information of commodities placed on each of the plurality of shelves;
the association information determining module 306 is configured to obtain an association degree between the shelf and the order according to the order information of each to-be-processed order acquired by the order information acquiring module and the category information of the commodity placed on each shelf acquired by the commodity category acquiring module, where the association degree is used to represent an adaptation degree between the shelf and the order;
a position information obtaining module 308, configured to obtain candidate positions where shelves can be placed, and obtain positions of multiple stations;
and a target position determining module 310, configured to obtain a target position to be placed on each shelf determined in the candidate positions of the plurality of shelves according to the association degree between the shelf and the order determined by the association information determining module, and the candidate positions of the plurality of shelves and the positions of the plurality of stations obtained by the position information obtaining module.
The device for determining the shelf position determines the degree of association between the shelf and the order according to the type information of the commodity required by the order to be processed and the type information of the commodity placed on the shelf, and then performs matching between the shelf and the position according to the degree of association between the shelf and the order, the candidate position where the shelf can be placed and the position of the station, thereby determining the target position where each shelf is to be placed. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
In an exemplary embodiment, the association information determining module 306 is specifically configured to perform association analysis on all the commodities required by each to-be-processed order according to the order information of each to-be-processed order, so as to obtain a plurality of commodity combinations; obtaining the number of commodity combinations contained in each shelf according to the plurality of commodity combinations and the type information of the commodities placed on each shelf; the score for each shelf is determined based on the number of the plurality of combinations of items and the number of combinations of items contained in each shelf.
In an exemplary embodiment, the association information determining module 306 is specifically configured to obtain the number of types of commodities, which are placed on each shelf and matched with the order to be processed, according to the order information of each order to be processed and the type information of the commodities placed on each shelf, where the commodities matched with the order to be processed are the commodities required by the order to be processed; and determining the score of each shelf according to the number of the plurality of commodity combinations, the number of the commodity combinations contained in each shelf, the number of the types of commodities placed on each shelf and matched with the order to be processed and the number of the types of commodities required by the plurality of orders to be processed.
In an exemplary embodiment, the association information determining module 306 is specifically configured to calculate a first ratio of the number of the commodity combinations contained in each shelf to the number of the plurality of commodity combinations; calculating a second ratio of the number of the types of the commodities which are placed on each shelf and matched with the orders to be processed to the number of the types of the commodities required by the plurality of orders to be processed; and accumulating the first ratio and the second ratio to obtain the score of each shelf.
In an exemplary embodiment, the maximum matching module 310 is specifically configured to determine a score for each candidate location based on a plurality of shelf placeable candidate locations and a plurality of site locations; constructing a corresponding bipartite graph according to the association degree of the goods shelf and the order and the score of each candidate position; and performing maximum matching operation on the bipartite graph to determine a target position where each shelf is to be placed.
In an exemplary embodiment, the maximum matching module 310 is specifically configured to calculate a harmonic mean of the distances from each candidate location to all the sites based on the plurality of shelf placeable candidate locations and the plurality of sites locations; a harmonic mean is determined as a score for each candidate location.
In an exemplary embodiment, the maximum matching module 310 is specifically configured to construct a bipartite graph connecting each shelf and each candidate location according to the score of each shelf and the score of each candidate location, wherein a line connecting each shelf and each candidate location is provided with a weight, and the weight is a product of the score of each shelf and the score of each candidate location.
The specific definition of the shelf position determination device can be referred to the definition of the shelf position determination method in the above, and will not be described in detail here. The various modules in the above means for determining shelf position may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In an exemplary embodiment, there is provided a warehousing system comprising:
a plurality of shelves;
a shelf position determining apparatus for performing the method of any of the above embodiments;
and the transportation system is used for transporting each shelf to the corresponding target position according to the target position, which is determined by the shelf position determining equipment, of each shelf to pick the goods.
According to the warehousing system, the shelf position determining equipment is adopted to determine the association degree of the shelf and the order according to the type information of the goods required by the order to be processed and the type information of the goods placed on the shelf, and then the shelf is matched with the position according to the association degree of the shelf and the order, the candidate position where the shelf can be placed and the position of the station, so that the target position where each shelf is to be placed is determined. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data generated in the order processing process. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of determining shelf position.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an exemplary embodiment, a computer device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the type information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position to be placed on each shelf determined in the candidate positions of the plurality of shelves according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
The computer equipment firstly determines the association degree of the goods shelf and the order according to the category information of the goods required by the order to be processed and the category information of the goods placed on the goods shelf, and then matches the goods shelf with the position according to the association degree of the goods shelf and the order, the candidate position where the goods shelf can be placed and the position of the station, so that the target position where each goods shelf is to be placed is determined. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the type information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position to be placed on each shelf determined in the candidate positions of the plurality of shelves according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
The computer-readable storage medium determines the association degree between the shelf and the order according to the type information of the goods required by the order to be processed and the type information of the goods placed on the shelf, and then performs matching between the shelf and the position according to the association degree between the shelf and the order, the candidate position where the shelf can be placed and the position of the station, thereby determining the target position where each shelf should be placed. The placing position of the goods shelf is determined by adopting data in various warehouses, more factors are considered, so that the accuracy of the placing position of the goods shelf can be improved, and the production efficiency of orders in the warehouses is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application.
Claims (13)
1. A method of determining shelf position, the method comprising:
the method comprises the steps of obtaining order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the orders;
obtaining the type information of commodities placed on each shelf in a plurality of shelves;
obtaining the association degree of the goods shelves and the orders according to the order information of each order to be processed and the category information of the commodities placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
obtaining a plurality of candidate positions for placing a shelf, and obtaining positions of a plurality of stations;
and obtaining the target position of each shelf, which is determined in the candidate positions of the plurality of shelves, to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of shelves and the positions of the plurality of stations.
2. The method of claim 1, wherein the degree of association of a shelf to an order comprises a score for each shelf;
obtaining the association degree between the goods shelf and the order according to the order information of each order to be processed and the category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
performing correlation analysis on all commodities required by the order to be processed according to the order information of each order to be processed to obtain a plurality of commodity combinations;
obtaining the number of the commodity combinations contained in each shelf according to the plurality of commodity combinations and the type information of the commodities placed on each shelf;
and determining the score of each shelf according to the number of the plurality of commodity combinations and the number of the commodity combinations contained in each shelf.
3. The method of claim 2, wherein determining a score for each shelf based on the number of the plurality of combinations of items and the number of combinations of items contained on each shelf comprises:
obtaining the number of types of commodities, which are placed on each shelf and matched with the order to be processed, according to the order information of each order to be processed and the type information of the commodities placed on each shelf, wherein the commodities matched with the order to be processed are the commodities required by the order to be processed;
and determining the score of each shelf according to the number of the commodity combinations, the number of the commodity combinations contained in each shelf, the number of the kinds of commodities which are placed on each shelf and matched with the order to be processed and the number of the kinds of commodities required by the plurality of orders to be processed.
4. The method of claim 3, wherein determining a score for each shelf based on the number of the plurality of combinations of items, the number of combinations of items contained on each shelf, the number of types of items placed on each shelf that match the pending order, and the number of types of items required for the plurality of pending orders comprises:
calculating a first ratio of the number of commodity combinations contained in each shelf to the number of the plurality of commodity combinations;
calculating a second ratio of the number of the types of the commodities placed on each shelf and matched with the orders to be processed to the number of the types of the commodities required by the orders to be processed;
and accumulating the first ratio and the second ratio to obtain the score of each shelf.
5. The method of claim 1, further comprising:
acquiring order information of a processed order in a preset time period, wherein the order information comprises the type information of a commodity required by the order;
obtaining the association degree between the goods shelf and the order according to the order information of each order to be processed and the category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
aggregating the order information of the order to be processed and the order information of the processed order to obtain the order information of all orders;
and obtaining the association degree of the goods shelves and the orders according to the order information of all the orders and the type information of the commodities placed on each goods shelf.
6. The method of claim 5, wherein the degree of association of a shelf to an order comprises a score for each shelf;
obtaining the association degree between the goods shelves and the orders according to the order information of all the orders and the type information of the commodities placed on each goods shelf, wherein the association degree comprises the following steps:
performing correlation analysis on the commodities required by all the orders according to the order information of all the orders to obtain a plurality of commodity combinations;
obtaining the number of the commodity combinations contained in each shelf according to the plurality of commodity combinations and the type information of the commodities placed on each shelf;
obtaining the number of the types of the commodities, which are placed on each shelf and matched with all the orders, according to the order information of all the orders and the type information of the commodities, which are placed on each shelf, wherein the commodities, which are matched with all the orders, are the commodities required by all the orders;
and determining the score of each shelf according to the number of the plurality of commodity combinations, the number of the commodity combinations contained in each shelf, the number of the kinds of commodities placed on each shelf and matched with all orders and the number of the kinds of commodities required by all orders.
7. The method according to any one of claims 1 to 6, wherein obtaining the target position to place each shelf determined in the candidate positions of the plurality of shelves according to the association degree of the shelf with the order, the candidate positions of the plurality of shelves, and the positions of the plurality of stations comprises:
determining a score for each candidate location based on the plurality of shelf placeable candidate locations and the locations of the plurality of sites;
constructing a corresponding bipartite graph according to the association degree of the goods shelf and the order and the score of each candidate position;
and performing maximum matching operation on the bipartite graph, and determining a target position where each shelf is to be placed.
8. The method of claim 7, wherein determining a score for each candidate location based on the plurality of shelf placeable candidate locations and the locations of the plurality of sites comprises:
calculating a harmonic mean of the distance from each candidate location to all the sites based on the plurality of shelf placeable candidate locations and the plurality of sites locations;
determining the harmonic mean as a score for each candidate location.
9. The method of claim 7 or 8, wherein constructing a respective bipartite graph from the association of the shelves with orders and the score for each candidate location comprises:
and constructing a bipartite graph obtained by connecting each shelf and each candidate position according to the score of each shelf and the score of each candidate position, wherein a connecting line connecting each shelf and each candidate position is provided with a weight, and the weight is the product of the score of each shelf and the score of each candidate position.
10. An apparatus for determining a shelf position, the apparatus comprising:
the order information acquisition module is used for acquiring order information of each order to be processed in a plurality of orders to be processed, wherein the order information comprises the type information of commodities required by the order;
the commodity type acquisition module is used for acquiring the type information of commodities placed on each of the plurality of shelves;
the association information determining module is configured to obtain an association degree between the shelf and the order according to the order information of each to-be-processed order acquired by the order information acquiring module and the category information of the commodity placed on each shelf acquired by the commodity category acquiring module, where the association degree is used to represent a degree of adaptation between the shelf and the order;
the system comprises a position information acquisition module, a storage module and a storage module, wherein the position information acquisition module is used for acquiring candidate positions of a plurality of shelves and acquiring positions of a plurality of stations;
and a target position determining module, configured to obtain a target position where each shelf determined in the candidate positions of the plurality of shelves may be placed according to the association degree between the shelf and the order determined by the association information determining module, and the candidate positions of the plurality of shelves that may be placed and the positions of the plurality of stations obtained by the position information obtaining module.
11. A warehousing system, characterized in that the system comprises:
a plurality of shelves;
a shelf position determination device for performing the method of any one of claims 1 to 9;
and the transportation system is used for transporting each shelf to the corresponding target position according to the target position, which is determined by the shelf position determining equipment, of each shelf to be placed so as to pick the goods.
12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 9 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 9.
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