CN111382974B - Method and device for determining goods shelf position, warehousing system and computer equipment - Google Patents
Method and device for determining goods 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: acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders; acquiring category information of goods placed on each of a plurality of shelves; obtaining the association degree of the goods shelves and the orders according to the order information of each to-be-processed order and the category information of the goods placed on each goods shelf; acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites; and obtaining the target position, determined in the candidate positions of the shelf, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the shelf and the positions of the sites. The placement position of the goods shelf is determined by adopting the data in the various warehouses, and more factors are considered, so that the accuracy of the placement position of the goods shelf can be improved.
Description
Technical Field
The present disclosure relates to the field of logistics, and in particular, to a method and apparatus for determining a shelf position, a warehouse system, a computer device, and a computer readable storage medium.
Background
In the warehouse operation flow, the shelf position has important influence on the order picking process, and the reasonable shelf position can effectively reduce the order production time and improve the warehouse production efficiency.
In conventional methods of determining the location of a shelf, the shelf is typically addressed using a random or nearby strategy. 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 a lower order production efficiency of the warehouse.
Disclosure of Invention
Based on this, it is necessary to provide a method and apparatus for determining the shelf position, a warehouse system, a computer device and a computer readable storage medium for solving the above technical problem that the conventional method for determining the shelf position results in lower order production efficiency of the warehouse.
A method of determining a shelf location, the method comprising:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
Acquiring category information of goods placed on each of 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 goods placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the plurality of placeable shelves, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations.
In an exemplary embodiment, the relevancy of the shelves to 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 to-be-processed order and the category information of the goods placed on each goods shelf, wherein the method comprises the following steps:
carrying out association analysis on all commodities required by the to-be-processed orders according to the order information of each to-be-processed order to obtain a plurality of commodity combinations;
obtaining the number of commodity combinations contained in each goods shelf according to the plurality of commodity combinations and the type information of the commodities placed on each goods shelf;
And determining the score of each goods shelf according to the number of the plurality of goods combinations and the number of the goods combinations contained in each goods shelf.
In an exemplary embodiment, determining the score of each shelf based on the number of the plurality of product combinations and the number of product combinations included in each shelf includes:
obtaining the types of commodities which are placed on each shelf and matched with the to-be-processed orders according to the order information of each to-be-processed order and the types of commodities placed on each shelf, wherein the commodities matched with the to-be-processed orders are commodities required by the to-be-processed 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 types of commodities which are placed on each shelf and matched with the to-be-processed orders and the number of types of commodities required by the plurality of to-be-processed orders.
In an exemplary embodiment, determining the score of each shelf according to the number of the plurality of product combinations, the number of product combinations included in each shelf, the number of types of products placed on each shelf that match the pending orders, and the number of types of products required for the plurality of pending orders includes:
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 types of the commodities which are placed on each goods shelf and matched with the to-be-processed orders to the number of types of the commodities required by the plurality of to-be-processed orders;
and accumulating the first ratio and the second ratio to obtain the score of each goods shelf.
In an exemplary embodiment, the method further comprises:
acquiring order information of processed orders within a preset period, wherein the order information comprises category information of commodities required by the orders;
obtaining the association degree between the goods shelf and the order according to the order information of each to-be-processed order and the category information of the goods placed on each goods shelf, wherein the method comprises the following steps:
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;
and obtaining the association degree of the goods shelves and the orders according to the order information of all the orders and the category information of the goods placed on each goods shelf.
In an exemplary embodiment, the relevancy of the shelves to 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 category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
carrying out association analysis on commodities required by all orders according to the order information of all orders to obtain a plurality of commodity combinations;
obtaining the number of commodity combinations contained in each goods shelf according to the plurality of commodity combinations and the type information of the commodities placed on each goods shelf;
obtaining 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 types of the commodities placed on each shelf, wherein the commodities matched with all the orders are commodities required by all the orders;
and determining the score of each goods shelf according to the number of the plurality of goods combinations, the number of the goods combinations contained in each goods shelf, the types of the goods which are placed on each goods shelf and matched with all orders and the types of the goods required by all orders.
In an exemplary embodiment, obtaining the target location of each shelf determined among the candidate locations of the plurality of placeable shelves according to the association degree of the shelf and the order, the candidate locations of the plurality of placeable shelves, and the locations of the plurality of sites, includes:
Determining a score for each candidate location based on the candidate locations of the plurality of placeable shelves 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 carrying out maximum matching operation on the bipartite graph, and determining the target position where each goods shelf is to be placed.
In an exemplary embodiment, determining a score for each candidate location based on the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites comprises:
calculating a harmonic mean of the distances from each candidate location to all sites according to the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites;
the harmonic mean is determined as a score for each candidate location.
In an exemplary embodiment, constructing a corresponding bipartite graph according to the association degree of the shelf and the order and the score of each candidate position includes:
and constructing a bipartite graph obtained by connecting each goods shelf with each candidate position according to the score of each goods shelf and the score of each candidate position, wherein a weight is arranged on a connecting line connecting each goods shelf with each candidate position, and the weight is the product of the score of each goods shelf and the score of each candidate position.
A device for determining a position of a shelf, the device comprising:
the order information acquisition module is used for acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
the commodity type acquisition module is used for acquiring type information of commodities placed on each of the plurality of shelves;
the association information determining module is used for obtaining association degree between the goods shelf and the order according to the order information of each to-be-processed order acquired by the order information acquiring module and the type information of the goods placed on each goods shelf acquired by the goods type acquiring module, wherein the association degree is used for representing the adaptation degree between the goods shelf and the order;
the position information acquisition module is used for acquiring candidate positions of a plurality of placeable shelves and acquiring positions of a plurality of stations;
the target position determining module is used for obtaining the target position, which is determined in the candidate positions of the shelf and is to be placed, of each shelf according to the association degree of the shelf and the order, the candidate positions of the shelf and the positions of the sites.
A warehousing system, the system comprising:
a plurality of shelves;
a shelf location determination device for performing the method of any of the above embodiments;
and the transportation system is used for carrying each goods shelf to the corresponding target position for picking goods according to the target position where each goods shelf is required to be placed and determined by the goods shelf position determining equipment.
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 steps of:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
acquiring category information of goods placed on each of 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 goods placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the plurality of placeable shelves, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
acquiring category information of goods placed on each of 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 goods placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the plurality of placeable shelves, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations.
The method and the device for determining the position of the goods shelf, the warehousing system, the computer equipment and the computer readable storage medium firstly determine the association degree of the goods shelf and the goods shelf according to the type information of goods required by the order to be processed and the type information of goods placed on the goods shelf, and then match 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 site, so as to determine the target position where each goods shelf is to be placed. The placing positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
Drawings
FIG. 1 is an application environment diagram of a method of determining shelf location in one embodiment;
FIG. 2 is a flow chart of a method of determining shelf location in one embodiment;
FIG. 3 is a flow diagram of a complementary scheme for determining the relevancy of a shelf to an order in one embodiment;
FIG. 4 is a flow chart of a complementary scheme for determining the relevance of a shelf to an order in another embodiment;
FIG. 5 is a flow chart of a complementary scheme for determining the target location where each shelf should be placed in another embodiment;
FIG. 6 is a block diagram of a device for determining the position of a shelf in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for determining the shelf position can be applied to an application environment shown in fig. 1. The shelf position determining device 102 is respectively connected with the warehouse management device 104 and the order database 106, and the warehouse management device 104 is connected with a shelf 108 placed in a warehouse and used for realizing unified management of the shelf according to shelf information.
Specifically, the shelf position determining apparatus 102 first acquires order information through the order database 106, and receives category information of goods placed on each shelf, a plurality of candidate positions where the shelf can be placed, and a plurality of site positions transmitted from the warehouse management apparatus 104. Next, the shelf position determining apparatus 102 obtains the association degree of the shelf and the order from the order information and the kind information of the commodity placed on each shelf. Next, matching the shelf with the candidate positions according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the plurality of site 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 will be appreciated that the shelf location determination device 102 facilitates optimizing the shelf location by combining the order information, the shelf information, and the location distribution information as a comprehensive consideration for selecting the shelf location to enhance the order efficiency of the warehouse.
The shelf location determining device 102 and the warehouse management device 108 may be, but not limited to, various servers (such as a local server or a cloud server), personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
Alternatively, the method for determining the position of a shelf according to the embodiments of the present application may be applied to a warehouse of goods-to-person (GTP). In a warehouse for goods to people, a warehouse management system (warehouse management system, wms) automatically dispatches robots to handle the shelves in the warehouse to various stations for order picking operations by staff at various stations.
In an exemplary embodiment, as shown in fig. 2, a method for determining a shelf position is provided, and the method is applied to the shelf position determining device 102 in fig. 1 for illustration, and may be specifically implemented by the following steps:
step S202, order information of each of a plurality of pending orders is obtained.
Wherein the order information includes category information of goods required for the order.
Specifically, after the generation of the pending orders is detected, the order information of each pending order can be stored in an order database, so that the management of the order information and the subsequent retrieval at any time when needed are facilitated. Typically, the order information of the pending orders stored in the order database is numerous, and thus the shelf position determining apparatus can read the order information of each pending order from the order database. Alternatively, the shelf position determining apparatus may read order information of the pending order within a preset time interval from the order database according to the time interval. Alternatively, after the pending order is processed, the order database may delete order information for the order in order to free up storage space.
Step S204, obtaining type information of the goods placed on each of the plurality of shelves.
In particular, the category information of the goods 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 so that the type information of the commodity placed on each shelf, which the warehouse management apparatus transmits in response to the request, may be received.
Step S206, according to the order information of each to-be-processed order and the category information of the goods placed on each goods shelf, the association degree between the goods shelf and the order is obtained.
Wherein the association is used to characterize the degree of fit between the shelf and the order. Generally, a higher degree of association indicates that the shelf is more adaptable to the order, such that the order tasks of the order are more easily assigned to the shelf to facilitate picking the items needed for the order from the shelf. Conversely, the lower the association, the worse the suitability of the shelf to the order, and the adverse effect on assigning the order task to the shelf.
Specifically, after obtaining order information of a plurality of pending orders and category information of goods placed on a plurality of shelves, the shelf position determining device matches category information of goods required for the orders and category information of goods placed on the shelves to obtain association degree of the shelves and the orders. The degree of association may reflect the degree of association of the shelves with the order.
Step S208, a plurality of candidate positions for placing shelves are obtained, and positions of a plurality of sites are obtained.
In particular, in general, the candidate locations where the shelves can be placed and the locations of the sites are stored and issued by the warehouse management device, and therefore, the shelf location determination device can obtain the candidate locations where the shelves can be placed and the locations of the sites through the warehouse management device.
Step S210, a target position, determined in the candidate positions of the shelf capable of being placed, of each shelf is obtained according to the association degree of the shelf and the order, the candidate positions of the shelf capable of being placed and the positions of the sites.
Specifically, after obtaining the association degree of the shelf and the order, the candidate positions of the plurality of shelf capable of being placed and the positions of the plurality of stations, the shelf position determining device performs matching between the shelf and the candidate positions based on the information, and the obtained matching result is the target position where each shelf is to be placed. Alternatively, the maximum matching, perfect matching or hungarian algorithm of the bipartite graph can be used to process the information and complete the matching task of the shelf and the candidate position.
According to the method for determining the position of the goods shelf, the association degree of the goods shelf and the order is determined according to the type information of goods required by the order to be processed and the type information of goods placed on the goods shelf, and then the matching of the goods shelf and the position is carried out according to the association degree of the goods shelf and the order, the candidate position of the goods shelf capable of being placed and the position of the station, so that the target position where each goods shelf is to be placed is determined. The placing positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
In an exemplary embodiment, the relevance of a shelf to an order may be represented by calculating a score for each shelf. Based on this, in an exemplary embodiment, one possible implementation process of obtaining the association degree between the shelf and the order according to the order information of each pending order and the kind information of the goods placed on each shelf is involved. Specifically, referring to fig. 3, step S206 may be implemented by:
step S2062, carrying out association analysis on all commodities required by the pending orders according to the order information of each pending order to obtain a plurality of commodity combinations.
Specifically, first, according to order information of each to-be-processed order, the shelf position determining device performs association analysis on all commodities required by the to-be-processed order through association analysis algorithms, such as Apriori, FP-tree algorithm, and the like, so as to obtain at least one commodity combination. Optionally, a frequency threshold may be preset, and a commodity combination with a frequency greater than or equal to the frequency threshold is selected as the final determined commodity combination. For example, a plurality of commodities appearing in the same order more than a set threshold are combined as one commodity. For example, milk and bread are simultaneously present in 100 orders, and the threshold is set to 80, then milk and bread may be combined as one commodity.
Step S2064, obtaining the number of commodity combinations included in each shelf according to the plurality of commodity combinations and the type information of the commodity placed on each shelf.
Specifically, first, the shelf position determining apparatus combines the products placed on the respective shelves according to the type information of the products placed on each shelf to obtain at least one product combination. And then, the goods shelf position determining equipment respectively matches the goods combination corresponding to the goods shelf with the goods combination corresponding to the order to be processed, wherein the successfully matched goods combination is the goods combination contained in each goods shelf. And finally counting the number of commodity combinations contained in each goods shelf. For example, the commodity combination includes two combination modes of commodity a, commodity b and commodity c, commodity a, commodity b, commodity d and commodity e are placed on the goods shelf a, and the goods shelf a is combined and matched with the two combination modes, so that only commodity a and commodity b belong to the commodity combination contained in the goods shelf, and the corresponding quantity is 1.
Step S2066, determining a score for each shelf based on the number of the plurality of product combinations and the number of product combinations included in each shelf.
Specifically, the shelf position determining apparatus calculates the score of each shelf according to the number of the plurality of product combinations and the number of product combinations included in each shelf, and according to a preset score calculation formula. The score of the shelf can reflect the degree of adaptation of the shelf to the order to a certain extent. Generally, the higher the score of a shelf, the higher the similarity between the commodity placed on the shelf and the commodity required by the order, and the order task is distributed to the shelf with higher similarity, so that the purpose of selecting fewer shelves to complete the order production can be realized, and the production efficiency of the order is improved.
In the embodiment of the application, the commodity combination is obtained by analyzing the relevance of the commodities, and the commodity combination is adopted to help realize 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 product combinations and the number of product combinations that each shelf contains. On the basis of the above embodiment, step S2066 may be specifically implemented by the following steps:
step S206a, according to the order information of each order to be processed and the category information of the goods placed on each shelf, the category number of the goods placed on each shelf and matched with the order to be processed is obtained, wherein the goods matched with the order to be processed are the goods required by the order to be processed.
Specifically, the shelf position determining apparatus determines the number of kinds of goods required for each shelf to be placed with the order to be processed, based on the information of kinds of goods required for each order to be processed and the information of kinds of goods placed on each shelf. For example, assuming that the category information of the commodities required for the order to be processed includes "commodity a, commodity b", and the category information of the commodities placed on the shelf includes "commodity a, commodity b, commodity c", the category of the commodities placed on the shelf that match the order to be processed is "commodity a, commodity b", and the corresponding category number is 2.
Step S206b, 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 types of the commodities which are placed on each shelf and matched with the to-be-processed order and the types of the commodities required by the plurality of to-be-processed orders.
Specifically, the shelf position determining apparatus determines the score of each shelf according to the number of the plurality of product combinations, the number of product combinations included in each shelf, the number of kinds of products placed on each shelf that match the order to be processed, and the number of kinds of products required for the plurality of orders to be processed. Alternatively, there are a plurality of implementation manners of step S206b, and only a few of them are listed below:
The implementation mode is as follows: calculating a first ratio of the number of product combinations contained in each shelf to the number of at least one product combination; calculating a second ratio of the number of types of the commodities which are placed on each shelf and matched with the to-be-processed orders to the number of types of the commodities required by the plurality of to-be-processed orders; and accumulating the first ratio and the second ratio to obtain the score of each goods shelf.
The implementation mode II is as follows: calculating a first ratio of the number of product combinations contained in each shelf to the number of at least one product combination; calculating a second ratio of the number of types of the commodities which are placed on each shelf and matched with the to-be-processed orders to the number of types of the commodities required by the plurality of to-be-processed orders; 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 goods shelf.
And the implementation mode is three: calculating the product of the number of commodity combinations contained in each goods shelf and the number of varieties of commodities required by a plurality of orders to be processed to obtain a third product result, calculating the product of the number of varieties of commodities matched with the orders to be processed and placed on each goods shelf 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 accumulated result, calculating the product of the number of at least one commodity combination and the number of varieties of commodities required by the plurality of orders to be processed to obtain a fifth product result, and calculating the ratio of the first accumulated result to the fifth product result to obtain the score of each goods shelf.
In the embodiment of the application, the relevance between the commodity required by the order and the commodity placed on the goods shelf is taken as a consideration factor, so that the goods shelf and the order can be matched rapidly and accurately, and the order production efficiency can be further improved.
In an exemplary embodiment, the method further comprises the steps of:
step S203, order information of the processed order in the preset period is obtained.
Likewise, the order information includes category information of goods required for the order. Specifically, the shelf location determining device may also obtain order information for the processed order. Optionally, the shelf location determining device obtains order information of the processed order within a preset period of time, for example, order information of the processed order before one week or half month. Alternatively, the shelf location determining device may obtain the pending order and the processed order at a preset sampling rate.
Further, in an exemplary embodiment, one possible implementation process of obtaining the association degree between the shelf and the order according to the order information of each to-be-processed order and the category information of the goods placed on each shelf is involved. On the basis of the above embodiment, referring to fig. 4, S206 may be specifically implemented by the following steps:
Step S222, aggregating the order information of the pending orders and the order information of the processed orders to obtain the order information of all orders. Combining the order information to be processed and the processed order information to obtain the information of all orders.
Step S224, according to the order information of all orders and the category information of the goods placed on each goods shelf, the association degree between the goods shelf and the orders is obtained.
Specifically, the shelf position determining device aggregates the order information of the pending order and the order information of the processed order together to obtain the order information of all orders. Then, the shelf position determining device obtains the association degree of the shelf and the order according to the order information of all the orders and the category information of the goods placed on each shelf.
Alternatively, the implementation procedure of step S224 may be: first, the shelf position determining device performs association analysis on commodities required by all orders according to order information of all orders to obtain a plurality of commodity combinations. Next, the shelf position determining apparatus obtains the number of the commodity combinations included in each shelf based on the plurality of commodity combinations and the kind information of the commodity placed on each shelf. Next, the shelf position determining device obtains 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 types of the commodities placed on each shelf, wherein the commodities matched with all the orders are commodities required by all the orders. Next, the shelf position determining apparatus determines the score of each shelf based on the number of the plurality of product combinations, the number of product combinations included in each shelf, the number of kinds of products placed on each shelf that match all orders, and the number of kinds of products required for all orders.
In the embodiment of the application, the processed order and the unprocessed order are taken as the order data together to determine the shelf position, the processed order can represent the historical trend of site selection, the unprocessed order can adjust the shelf position in time to achieve the optimal, and the combination of the processed order and the unprocessed order is favorable for improving the accuracy of shelf position selection.
In an exemplary embodiment, one possible implementation process involves obtaining a target location for each shelf to be placed determined from among a plurality of candidate locations for a placeable shelf, based on a degree of association of the shelf with an order, a plurality of candidate locations for the placeable shelf, and a plurality of locations of sites. On the basis of the above embodiment, referring to fig. 5, step S210 includes the following steps:
step S2102, determining a score of each candidate position according to the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations.
Specifically, the shelf position determining apparatus calculates a score for each candidate position from the plurality of candidate positions where the shelf can be placed and the positions of the plurality of stations. In an exemplary embodiment, the shelf location determining apparatus calculates a harmonic mean of distances from each candidate location to all the sites based on the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites, and determines the harmonic mean as a score for each candidate location. Wherein the harmonic mean is the inverse of the arithmetic mean of the inverse of the overall statistical variables. In another exemplary embodiment, the shelf position determining apparatus calculates a weighted average of distances from each candidate position to all the stations based on the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations, and determines the weighted average as a score for each candidate position. Wherein the weighted average is that each numerical value is multiplied by a corresponding weight, and then summed to obtain an overall value, which is divided by the total number of units. Alternatively, the distance from each candidate location to all sites may be Manhattan distance.
And step S2104, constructing a corresponding bipartite graph according to the association degree of the shelf and the order and the score of each candidate position.
The bipartite graph is a special model in graph theory. Let g= (V, E) be an undirected graph, if the vertex V can be divided 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 vertex sets (iin a, iin B), respectively, then the graph G is referred to as a bipartite graph.
Specifically, the shelf position determining apparatus constructs a bipartite graph obtained by connecting each shelf with each candidate position based on the score of each shelf and the score of each candidate position. In the bipartite graph, all shelves can be represented by a vertex set A, all candidate positions can be represented by a vertex set B, any shelf is connected with any candidate position, the connected edge is given a weight, and the weight is the product of the score of each shelf and the score of each candidate position.
Step S2106, carrying out maximum matching operation on the bipartite graph, and determining the target position where each goods shelf is to be placed.
Specifically, the shelf position determining device performs a maximum matching operation on the bipartite graph, and can determine the target position where each shelf should be placed. It should be understood that after the bipartite graph is constructed according to the solution of the embodiment of the present invention, when the bipartite graph is subjected to the maximum matching operation, the existing or future maximum matching operation may be adopted to determine the target position of each shelf, and the method of the maximum matching operation is not limited in this 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 goods shelf placement position is optimized.
The method for determining the shelf position can optimize the shelf position of the warehouse in idle time and recommend the shelf position in busy time. Optionally, in an exemplary embodiment, the method further comprises: 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 this embodiment, considering the situation that the target position is likely to be occupied, at this time, the space nearest to the target position is selected as the final placement position of the shelf, which can also effectively improve the production efficiency of the order.
It should be understood that, although the steps in the flowcharts of fig. 2-5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or steps.
In an exemplary embodiment, as shown in fig. 6, there is provided a shelf position determining apparatus 30, wherein the shelf position determining apparatus 30 includes:
an order information obtaining module 302, configured to obtain order information of each of a plurality of pending orders, where the order information includes category information of goods required by the order;
a commodity type obtaining module 304, configured to obtain type information of a commodity placed on each of a plurality of shelves;
the association information determining module 306 is configured to obtain association degrees between the shelves and the orders according to the order information of each to-be-processed order acquired by the order information acquiring module and the category information of the goods placed on each shelf acquired by the goods category acquiring module, where the association degrees are used to characterize the adaptation degree between the shelves and the orders;
a location information obtaining module 308, configured to obtain candidate locations of a plurality of placeable shelves, and obtain locations of a plurality of sites;
the target position determining module 310 is configured to obtain, according to the association degree of the shelf and the order determined by the association information determining module, and the candidate positions of the plurality of placeable shelves and the positions of the plurality of sites obtained by the position information obtaining module, a target position, where each shelf is to be placed, determined from the candidate positions of the plurality of placeable shelves.
The device for determining the position of the goods shelf determines the association degree of the goods shelf and the order according to the type information of goods required by the order to be processed and the type information of 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 of the placeable goods shelf and the position of the station, so as to determine the target position of each goods shelf to be placed. The placing positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
In an exemplary embodiment, the association information determining module 306 is specifically configured to perform association analysis on all commodities required by the pending orders according to order information of each pending order, so as to obtain a plurality of commodity combinations; obtaining the number of commodity combinations contained in each goods shelf according to the plurality of commodity combinations and the type information of the commodities placed on each goods shelf; the score for each shelf is determined based on the number of the plurality of product combinations and the number of product combinations included in each shelf.
In an exemplary embodiment, the association information determining module 306 is specifically configured to obtain, according to order information of each to-be-processed order and category information of the goods placed on each shelf, a category number of the goods placed on each shelf and matched with the to-be-processed order, where the goods matched with the to-be-processed order are goods required by the to-be-processed order; 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 types of commodities which are placed on each shelf and matched with the to-be-processed order and the number of types of commodities required by the plurality of to-be-processed orders.
In an exemplary embodiment, the association information determining module 306 is specifically configured to calculate a first ratio of the number of combinations of goods contained in each shelf to the number of the plurality of combinations of goods; calculating a second ratio of the number of types of the commodities which are placed on each shelf and matched with the to-be-processed orders to the number of types of the commodities required by the plurality of to-be-processed orders; and accumulating the first ratio and the second ratio to obtain the score of each goods shelf.
In an exemplary embodiment, the maximum matching module 310 is specifically configured to determine a score for each candidate location based on the candidate locations of the plurality of placeable shelves 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 carrying out maximum matching operation on the bipartite graph, and determining the target position where each goods shelf is to be placed.
In an exemplary embodiment, the maximum matching module 310 is specifically configured to calculate a harmonic mean of distances from each candidate location to all sites based on the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites; the 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 obtained by connecting each shelf with each candidate location according to the score of each shelf and the score of each candidate location, where a weight is set on a line connecting each shelf with each candidate location, and the weight is a product of the score of each shelf and the score of each candidate location.
For specific limitations on the means for determining the shelf position, reference may be made to the above limitations on the method for determining the shelf position, which are not described in detail herein. The respective modules in the above-described means for determining the shelf position may be implemented in whole or in part by software, hardware or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In an exemplary embodiment, a warehousing system is provided, the system comprising:
a plurality of shelves;
a shelf location determination device for performing the method of any of the above embodiments;
and the transportation system is used for carrying each goods shelf to the corresponding target position for picking goods according to the target position where each goods shelf is required to be placed and determined by the goods shelf position determining equipment.
According to the storage system, the shelf position determining equipment is used for determining 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 site, so that the target position where each shelf is to be placed is determined. The placing positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
In an exemplary embodiment, a computer device is provided, which may be a server, and an internal structure thereof 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. 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 a shelf location.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than 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:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
acquiring category information of goods placed on each of 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 goods placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the shelf, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the shelf and the positions of the sites.
According to the computer equipment, the association degree of the goods shelf and the order is determined according to the type information of goods required by the order to be processed and the type information of goods placed on the goods shelf, and then the matching of the goods shelf and the position is carried out 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 positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
In an exemplary embodiment, a computer readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
acquiring category information of goods placed on each of 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 goods placed on each goods shelf, wherein the association degree is used for representing the adaptation degree between the goods shelves and the orders;
acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the shelf, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the shelf and the positions of the sites.
The computer readable storage medium firstly determines the association degree of the goods 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 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 of the placeable goods shelf and the position of the site, thereby determining the target position where each goods shelf should be placed. The placing positions of the shelves are determined by adopting the data in the various warehouses, and more consideration factors are considered, so that the accuracy of the placing positions of the shelves can be improved, and the production efficiency of orders in the warehouses can be improved.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application.
Claims (13)
1. A method of determining a shelf location, the method comprising:
acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
acquiring category information of goods placed on each of a plurality of shelves;
obtaining association degree of the goods shelf and the orders 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 is used for representing the adaptation degree between the goods shelf and the orders, the association degree of the goods shelf and the orders is represented by the score of the goods shelf, and the higher the score of the goods shelf is, the higher the similarity between the goods placed on the goods shelf and the goods required by the orders is indicated;
Acquiring candidate positions of a plurality of placeable shelves and positions of a plurality of sites;
and obtaining the target position, determined in the candidate positions of the plurality of placeable shelves, of each shelf to be placed according to the association degree of the shelf and the order, the candidate positions of the plurality of placeable shelves and the positions of the plurality of stations.
2. The method of claim 1, wherein the obtaining the association degree between the shelf and the order according to the order information of each pending order and the category information of the goods placed on each shelf comprises:
carrying out association analysis on all commodities required by the to-be-processed orders according to the order information of each to-be-processed order to obtain a plurality of commodity combinations;
obtaining the number of commodity combinations contained in each goods shelf according to the plurality of commodity combinations and the type information of the commodities placed on each goods shelf;
and determining the score of each goods shelf according to the number of the plurality of goods combinations and the number of the goods combinations contained in each goods shelf.
3. The method of claim 2, wherein determining the score for each shelf based on the number of the plurality of combinations of items and the number of combinations of items contained in each shelf comprises:
Obtaining the types of commodities which are placed on each shelf and matched with the to-be-processed orders according to the order information of each to-be-processed order and the types of commodities placed on each shelf, wherein the commodities matched with the to-be-processed orders are commodities required by the to-be-processed 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 types of commodities which are placed on each shelf and matched with the to-be-processed orders and the number of types of commodities required by the plurality of to-be-processed orders.
4. The method of claim 3, wherein determining the 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 categories of items placed on each shelf that match the pending orders, and the number of categories 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 types of the commodities which are placed on each goods shelf and matched with the to-be-processed orders to the number of types of the commodities required by the plurality of to-be-processed orders;
And accumulating the first ratio and the second ratio to obtain the score of each goods shelf.
5. The method according to claim 1, wherein the method further comprises:
acquiring order information of processed orders within a preset period, wherein the order information comprises category information of commodities required by the orders;
obtaining the association degree between the goods shelf and the order according to the order information of each to-be-processed order and the category information of the goods placed on each goods shelf, wherein the method comprises the following steps:
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;
and obtaining the association degree of the goods shelves and the orders according to the order information of all the orders and the category information of the goods placed on each goods shelf.
6. The method of claim 5, wherein the association of the shelves with the 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 category information of the goods placed on each goods shelf, wherein the association degree comprises the following steps:
carrying out association analysis on commodities required by all orders according to the order information of all orders to obtain a plurality of commodity combinations;
Obtaining the number of commodity combinations contained in each goods shelf according to the plurality of commodity combinations and the type information of the commodities placed on each goods shelf;
obtaining 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 types of the commodities placed on each shelf, wherein the commodities matched with all the orders are commodities required by all the orders;
and determining the score of each goods shelf according to the number of the plurality of goods combinations, the number of the goods combinations contained in each goods shelf, the types of the goods which are placed on each goods shelf and matched with all orders and the types of the goods required by all orders.
7. The method of any of claims 1-6, wherein obtaining the target location for each shelf determined from the candidate locations of the plurality of placeable shelves based on the association of the shelf with the order, the candidate locations of the plurality of placeable shelves, and the locations of the plurality of sites, comprises:
determining a score for each candidate location based on the candidate locations of the plurality of placeable shelves 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 carrying out maximum matching operation on the bipartite graph, and determining the target position where each goods shelf is to be placed.
8. The method of claim 7, wherein determining a score for each candidate location based on the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites comprises:
calculating a harmonic mean of the distances from each candidate location to all sites according to the candidate locations of the plurality of placeable shelves and the locations of the plurality of sites;
the harmonic mean is determined as a score for each candidate location.
9. The method of claim 7, wherein constructing a corresponding bipartite graph based on the association of the shelf with the order and the score for each candidate location comprises:
and constructing a bipartite graph obtained by connecting each goods shelf with each candidate position according to the score of each goods shelf and the score of each candidate position, wherein a weight is arranged on a connecting line connecting each goods shelf with each candidate position, and the weight is the product of the score of each goods shelf and the score of each candidate position.
10. A device for determining the position of a shelf, the device comprising:
the order information acquisition module is used for acquiring order information of each to-be-processed order in a plurality of to-be-processed orders, wherein the order information comprises category information of commodities required by the orders;
the commodity type acquisition module is used for acquiring type information of commodities placed on each of the plurality of shelves;
the association information determining module is used for obtaining association degree between the goods shelf and the orders according to the order information of each to-be-processed order and the type information of the goods placed on each goods shelf and obtained by the goods type obtaining module, wherein the association degree is used for representing the adaptation degree between the goods shelf and the orders, the association degree between the goods shelf and the orders is represented by the score of the goods shelf, and the higher the score of the goods shelf is, the higher the similarity between the goods placed on the goods shelf and the goods required by the orders is indicated;
the position information acquisition module is used for acquiring candidate positions of a plurality of placeable shelves and acquiring positions of a plurality of stations;
the target position determining module is used for obtaining the target position, which is determined in the candidate positions of the plurality of shelf to be placed, of the candidate positions of the plurality of shelf to be placed according to the association degree of the shelf and the order, which are determined by the association information determining module, and the candidate positions of the plurality of shelf to be placed and the positions of the plurality of sites, which are obtained by the position information obtaining module.
11. A warehousing system, the system comprising:
a plurality of shelves;
shelf position determining device for performing the method of any of claims 1 to 9;
and the transportation system is used for carrying each goods shelf to the corresponding target position for picking goods according to the target position where each goods shelf is required to be placed and determined by the goods shelf position determining equipment.
12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 9 when the computer program is executed.
13. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 9.
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| CN113052536B (en) * | 2021-04-06 | 2024-09-20 | 北京京东振世信息技术有限公司 | Order processing method, device and system |
| CN115965447B (en) * | 2023-03-16 | 2023-06-06 | 杭州康晟健康管理咨询有限公司 | Medicine position management method and system for intelligent pharmacy |
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