CN108805318B - Method and device for evaluating a warehouse - Google Patents
Method and device for evaluating a warehouse Download PDFInfo
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- CN108805318B CN108805318B CN201710291246.2A CN201710291246A CN108805318B CN 108805318 B CN108805318 B CN 108805318B CN 201710291246 A CN201710291246 A CN 201710291246A CN 108805318 B CN108805318 B CN 108805318B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
Methods and apparatus for evaluating a warehouse are disclosed. One embodiment of the method comprises: acquiring storage position information of each storage position in at least one storage position in a target warehouse; for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in a target warehouse within a preset time period, wherein the historical picking information comprises a picking storage position identifier; determining the historical picking times, the total amount of the historical picking routes and the longest picking route of a single picking unit in a preset time period according to the obtained historical picking information sequence and the storage position information of each storage position in at least one storage position; and determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit. This embodiment reduces the labor and time costs of evaluating a bin plan for a warehouse.
Description
Technical Field
The application relates to the technical field of computers, in particular to the technical field of evaluation, and particularly relates to a method and a device for evaluating a warehouse.
Background
Current warehouse storage planning is relatively arbitrary and subjective and generally less efficient in picking. In order to determine whether the bin plan of the warehouse is scientific, the bin plan of the warehouse can be determined by evaluating the bin plan of the warehouse.
However, at present, whether the storage space planning of the warehouse is scientific is mostly determined manually according to experience, so that the problems of high dependence on manual experience, high evaluation labor cost and high time cost exist.
Disclosure of Invention
The object of the present application is to propose an improved method and apparatus for evaluating a warehouse that solves the technical problems mentioned in the background section above.
In a first aspect, the present application provides a method for evaluating a warehouse, the method comprising: acquiring storage position information of each storage position in at least one storage position in a target warehouse, wherein the storage position information comprises storage position identification and storage position information; for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in the target warehouse within a preset time period, wherein the historical picking information comprises a picking storage position identifier; determining the historical picking times, the total historical picking distance and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position; and determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
In some embodiments, the above method further comprises: and determining whether to change the storage position information of the storage in the target warehouse according to the determined picking efficiency.
In some embodiments, the above method further comprises: in response to determining to change the storage position information of the storage positions in the target warehouse, counting the sum of the number of pieces of historical picking information corresponding to the storage positions in the historical picking information sequence of each picking unit in the at least one picking unit for each storage position in the at least one storage position to obtain the historical picking times of the storage position in the preset time period, wherein the historical picking information corresponding to the storage position is the historical picking information with the same picking storage position identification as the storage position identification of the storage position; selecting a preset number of storage positions from the at least one storage position according to the sequence of the historical picking times from large to small to obtain a high-frequency storage position set; and for each high-frequency storage position in the high-frequency storage position set, according to the historical picking information sequence of each picking unit in the at least one picking unit, determining the storage position with the longest single picking route between the high-frequency storage position and the high-frequency storage position in the at least one storage position, and changing the storage position information of the determined storage position so that the route between the high-frequency storage position and the determined storage position after the change is smaller than the route between the high-frequency storage position and the determined storage position before the change.
In some embodiments, the above method further comprises: in response to determining to change the storage position information of the storage positions in the target warehouse, for each picking unit in the at least one picking unit, determining two storage positions corresponding to the single picking longest route of the picking unit according to the acquired historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
In some embodiments, the determining the historical picking times, the historical picking total distance and the single picking longest distance of the picking unit in the preset time period according to the acquired historical picking information sequence and the bin information of each of the at least one bin includes: determining the historical picking information number in the obtained historical picking information sequence as the historical picking times of the picking unit in the target warehouse in the preset time period; determining the first piece of historical picking information in the obtained historical picking information sequence as the current picking information, setting the total quantity of the historical picking distance and the maximum single picking distance of the picking unit as zero, and executing the following determination operation: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the historical total picking distance of the picking unit to the sum of the historical total picking distance of the picking unit and the current distance; determining whether the current route is larger than the single picking longest route of the picking unit; if the distance is larger than the preset distance, updating the single picking longest distance of the picking unit to the current distance; determining whether the current picking information is the last-but-one historical picking information in the obtained historical picking information sequence, if so, ending the determining operation; if not, determining the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as the current picking information, and continuously executing the determining operation.
In a second aspect, the present application provides an apparatus for evaluating a warehouse, the apparatus comprising: the system comprises an acquisition unit, a storage unit and a storage unit, wherein the acquisition unit is configured to acquire storage position information of each storage position in at least one storage position in a target warehouse, and the storage position information comprises storage position identification and storage position information; the first determining unit is configured to acquire a historical picking information sequence of each picking unit in at least one picking unit in the target warehouse within a preset time period, wherein the historical picking information comprises a picking storage position identifier; determining the historical picking times, the total historical picking distance and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position; and the second determining unit is configured for determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
In some embodiments, the above apparatus further comprises: and a third determination unit configured to determine whether to change the bin position information of the bin in the target warehouse according to the determined picking efficiency.
In some embodiments, the above apparatus further comprises: a counting unit configured to count, for each storage location in the at least one storage location, a sum of the number of pieces of historical picking information corresponding to the storage location in the historical picking information sequence of each picking unit in the at least one picking unit to obtain the historical picked times of the storage location in the preset time period, wherein the historical picking information corresponding to the storage location is historical picking information with the same picking storage location identification as that of the storage location; the selecting unit is configured for selecting a preset number of storage positions from the at least one storage position according to the sequence of the historical picking times from large to small to obtain a high-frequency storage position set; and the first changing unit is configured to determine, for each high-frequency storage position in the high-frequency storage position set, a storage position with the longest single picking route between the high-frequency storage position and the determined storage position in the at least one storage position according to the historical picking information sequence of each picking unit in the at least one picking unit, and change the storage position information of the determined storage position so that the route between the high-frequency storage position and the determined storage position after being changed is smaller than the route between the high-frequency storage position and the determined storage position before being changed.
In some embodiments, the above apparatus further comprises: a second changing unit configured to, in response to determining to change the bin position information of the bin in the target warehouse, for each of the at least one picking unit, determine two bins corresponding to a single picking longest route of the picking unit according to the obtained historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
In some embodiments, the first determining unit includes: a first determining module, configured to determine the historical picking information number in the obtained historical picking information sequence as the historical picking frequency of the picking unit in the target warehouse within the preset time period; the execution module is configured to determine the first piece of historical picking information in the obtained historical picking information sequence as the current picking information, set the total historical picking distance and the single picking longest distance of the picking unit as zero, and execute the following determination operations: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the historical total picking distance of the picking unit to the sum of the historical total picking distance of the picking unit and the current distance; determining whether the current route is larger than the single picking longest route of the picking unit; if the distance is larger than the preset distance, updating the single picking longest distance of the picking unit to the current distance; determining whether the current picking information is the last-but-one historical picking information in the obtained historical picking information sequence, if so, ending the determining operation; and the second determining module is configured to determine the next historical picking information of the current picking information in the obtained historical picking information sequence as the current picking information and continue to execute the determining operation if the current picking information is not the last-but-last historical picking information in the obtained historical picking information sequence.
In a third aspect, the present application provides an electronic device comprising: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method as described in any implementation manner of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method as described in any of the implementations of the first aspect.
According to the method and the device for evaluating the warehouse, the storage position information of each storage position in at least one storage position in the target warehouse is obtained firstly; then, for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in a target warehouse within a preset time period, and determining the historical picking times, the historical picking total amount and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in at least one storage position; and finally, determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit. Therefore, the labor cost and the time cost for evaluating the storage space planning of the warehouse are reduced.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for evaluating a warehouse, according to the present application;
FIG. 3 is a schematic illustration of warehouse location information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for evaluating a warehouse according to the present application;
FIG. 5 is a schematic block diagram of one embodiment of an apparatus for evaluating a warehouse, according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the present method for evaluating a warehouse or apparatus for evaluating a warehouse may be applied.
As shown in fig. 1, system architecture 100 may include terminal device 101, network 102, and server 103. Network 102 is the medium used to provide communication links between terminal devices 101 and server 103. Network 102 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
Various client applications, such as an application for evaluating a warehouse, a web browser application, and the like, may be installed on the terminal device 101.
The server 105 may be a server that provides various services, such as a background server that provides support for applications installed on the terminal device 101 for evaluating the warehouse. The background server may analyze and perform other processing on the received data such as the storage position information acquisition request of the storage position of the target warehouse, and feed back a processing result (for example, the storage position information of the storage position of the target warehouse) to the terminal device.
It should be noted that the method for evaluating the warehouse provided by the embodiment of the present application is generally executed by the terminal device 101, and accordingly, the apparatus for evaluating the warehouse is generally disposed in the terminal device 101. In some cases, the method for evaluating a warehouse provided by the embodiment of the present application may not need the network 102 and the server 103, but may be executed by the terminal device 101 alone. In addition, the terminal device in the embodiment of the present application may be an electronic device without a server function, or may be an electronic device with a server function.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for evaluating a warehouse in accordance with the present application is illustrated. The method for evaluating a warehouse comprises the following steps:
In this embodiment, the electronic device (for example, the terminal device shown in fig. 1) on which the method for evaluating a warehouse operates may obtain the bin information of each bin in at least one bin in the target warehouse locally, or may obtain the bin information of each bin in at least one bin in the target warehouse from other electronic devices (for example, the server shown in fig. 1) connected to the electronic device through a network in a wired connection manner or a wireless connection manner. Here, the bin information includes a bin identification and bin position information. Wherein the bin identification is a unique identification for characterizing each of the at least one bin in the target warehouse. As an example, the bin identification may include at least one of: english letters, numbers, chinese characters, and other language characters. And bin location information is information used to characterize the location of a bin in a target warehouse. For example, bin position information may include position information in three dimensions, a row position, a column position, and an elevation position.
As an example, a specific implementation of the bin position information is given below:
first, the following assumptions can be made:
(1) the target warehouse is internally provided with storage position shelves in R rows and C columns, the size of each storage position shelf is the same, each storage position shelf is provided with a plurality of layers of shelves, each layer of the storage position shelf comprises W storage positions, the size of each storage position is the same, and R, C and W are positive integers.
(2) The horizontal distance between two horizontally adjacent storage positions in the storage positions on the same layer of the same storage position shelf is the same as the vertical distance between two storage positions on the adjacent layer in the same storage position shelf, and the horizontal distance between two horizontally adjacent storage positions in the storage positions on the same layer of the same storage position shelf and the vertical distance between two horizontally adjacent storage positions in the adjacent layer in the same storage position shelf are replaced by 1 storage position unit.
(3) The horizontal spacing between the storage position goods shelves is H storage position units, the vertical back spacing between the storage position goods shelves is P storage position units, the vertical opposite spacing between the storage position goods shelves is Q storage position units, wherein H, P and Q are positive numbers.
Then, a correspondence relationship between the bin identification of each bin of the at least one bin and the three-dimensional coordinates of the bin may be established. For example, three-dimensional coordinates of a storage location are represented by (x, y, z), where x represents the number of rows in the horizontal direction of the storage shelf where the storage location is located, y represents the number of columns in the horizontal direction of the storage shelf where the storage location is located, and z represents the number of layers (which may be 1 for the first layer from the ground) of the storage location in the storage shelf where the storage location is located.
And then, for each storage position in at least one storage position, determining the position information of the storage position according to the three-dimensional coordinates corresponding to the storage position identification of the storage position and the hypothesis. As an example, fig. 3 shows a partial schematic diagram of determining two-dimensional coordinates in the location information of the bin according to the three-dimensional coordinates and the above assumptions, and for convenience of description, only a two-dimensional plane coordinate schematic diagram is shown in fig. 3.
As shown in fig. 3, a certain point in the target warehouse may be taken as a plane coordinate origin, the above-mentioned assumed stock location unit is taken as a length unit, and a position of a fixed certain point in the stock location (for example, an upper left corner of the stock location) with respect to the above-mentioned plane coordinate origin may be taken as the plane position information of the stock location. For example, (X1, Y1) indicates plane position information corresponding to a bin having plane coordinates (1, 1).
As can be seen from fig. 3, each shelf has three bins per floor, the bin shelf in the first row has a row coordinate of 1, and the corresponding position information has a row-wise position of X1. The column coordinates of the plane coordinates of the storage shelves of the first column to the third column of the first row are 1, 2, and 3, respectively, and the column-directional positions in the corresponding position information are Y1, Y2, and Y3, respectively.
The column coordinates of the plane coordinates of the bit shelves of the fourth column to the sixth column in the first row are 4, 5, and 6, respectively, the column-directional positions in the corresponding position information are Y4, Y5, and Y6, respectively, without considering the distance H bit units between columns of shelves, and the column-directional positions in the corresponding position information are Y4+ H, Y5+ H and Y6+ H, respectively, with considering the distance H bit units between columns of shelves.
The line coordinate of the plane coordinate of the storage shelf in the second line is 2, the line direction position in the corresponding position information is X2 in the case where the distance Q storage units between the vertically opposed lines of the storage shelf and the line are not considered, and the line direction position in the corresponding position information is X2+ Q in the case where the distance Q storage units between the vertically opposed lines of the storage shelf and the line are considered.
The line coordinate of the plane coordinate of the storage shelf in the third row is 3, the line direction position in the corresponding position information is X3 in the case where P storage units of the distance between the vertically back row of the storage shelf and the line and Q storage units of the distance between the vertically opposite row of the storage shelf and the line are not considered, and the line direction position in the corresponding position information is X3+ Q + P in the case where P storage units of the distance between the vertically back row of the storage shelf and Q storage units of the distance between the vertically opposite row of the storage shelf and the line are considered.
In some optional implementations of this embodiment, the distance between two storage locations may be calculated using the following formula:
D＝|X2-X1|+|Y2-Y1|+|Z2-Z1| (1)
wherein, X1、Y1And Z1A position in a row direction, a position in a column direction and a position in a height direction in position information of one bit, X2、Y2And Z2The position in the row direction, the position in the column direction, and the position in the height direction in the position information of the other bin, respectively.
In this embodiment, the target warehouse may be specified by the electronic device according to a selection operation of a user. For example, warehouse information for each of at least one warehouse may be displayed to the user, and then the warehouse indicated by the user-selected warehouse information may be taken as the target warehouse.
In this embodiment, the electronic device (e.g., the terminal device shown in fig. 1) may first acquire, for each of the at least one pick unit, a historical pick information sequence of the pick unit in the target warehouse within a preset time period.
Here, the order picking unit may be an order picking person, an order picking robot, or an order picking person or an order picking robot in an order picking task.
In this embodiment, the preset time period may be specified by the electronic device according to a setting instruction of a user. For example, a setting interface may be provided to the user to set the above-mentioned preset time period to "within the last 10 days"; alternatively, the preset time period may be set by default, for example, "within the last week".
In the embodiment, the historical picking information sequence is composed of the historical picking information which is sorted according to time. The historical pick information is information indicating the picking of the pick unit. The order picking operation indicated by the previously ordered historical order picking information occurs before the order picking operation indicated by the subsequently ordered historical order picking information. Here, the historical pick information may include a pick bin identification. Here, the picking storage level identifier is used to indicate a storage level for which the picking operation is performed by the picking unit, and the storage level identifier of at least one storage level in the target warehouse acquired in step 201 includes the picking storage level identifier.
In some alternative implementations of the present embodiment, the historical pick information may also include a pick time for indicating when a pick operation of a pick unit occurred.
Then, the electronic device can determine the historical picking times, the historical picking total distance and the single picking longest distance of the picking unit in the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position. The historical picking times of the picking unit in the target warehouse within the preset time period are the times of picking operations of the picking unit in the target warehouse within the preset time period. The total historical picking distance of the picking unit in the preset time period of the target warehouse is the sum of the distance traveled or traveled by each picking operation of the picking unit in the preset time period of the target warehouse. The maximum picking distance of the picking unit in the target warehouse in the preset time period is the maximum of the distance traveled or traveled by each picking operation of the target warehouse in the preset time period.
It should be noted that the distance in the embodiment of the present application is not equivalent to a straight distance. Since there may be physical entities such as storage location shelves between storage locations in the warehouse, the picking unit may not necessarily reach another storage location by going straight from one storage location, but may need to go around the storage location shelf to reach another storage location, and therefore, the picking route in the embodiment of the present application refers to the distance that the picking unit needs to travel or travel to perform the picking operation from the starting storage location of the picking operation to the destination storage location.
In some optional implementations of the embodiment, the electronic device may determine the historical picking times, the historical picking total distance and the single picking longest distance of the picking unit in the preset time period according to the acquired historical picking information sequence and the bin information of each of the at least one bin as follows:
first, the historical number of pickups in the obtained sequence of historical pickups information may be determined as the historical number of pickups of the pickups unit at the target warehouse over a preset time period.
Then, the first piece of historical picking information in the obtained historical picking information sequence can be determined as the current picking information, the total quantity of the historical picking routes and the single picking longest route of the picking unit are set to be zero, and the following determination operations are carried out: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the total historical picking distance of the picking unit to the sum of the current distance and the total historical picking distance of the picking unit; determining whether the current route is larger than the single picking longest route of the picking unit; if the distance is larger than the preset distance, updating the single picking longest distance of the picking unit to the current distance; it is determined whether the current picking information is the next to last historical picking information in the acquired sequence of historical picking information and, if so, the determining operation is ended. If not, determining the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as the current picking information, and continuously executing the determining operation. It will be appreciated that the above method assumes that the pick distance for a pick operation indicated by the first historical pick information in the sequence of acquired historical pick information is zero, i.e. that the initial position of the pick unit is at the level indicated by the pick level identification in the first historical pick information. Of course, it may also be assumed that the initial position of the pick-up unit is a preset position located in the target warehouse, and thus, the distance between the preset position and the pick-up level indicated by the pick-up level information of the first historical pick-up information in the historical pick-up information sequence may also be calculated as the distance of the pick-up operation indicated by the first historical pick-up information.
And step 203, determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
In this embodiment, the electronic device on which the method for evaluating the warehouse is operated may determine the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit. Here, the picking efficiency of the target warehouse is negatively correlated with the historical total picking distance of each picking unit in the at least one picking unit and positively correlated with the historical picking times.
In some optional implementations of this embodiment, this step may be performed as follows:
calculating the picking efficiency of the target warehouse according to the following formula:
wherein:
Ewcalculating the picking efficiency of the target warehouse;
m is the number of picking units in at least one picking unit;
i is a positive integer between 1 and M;
Nihistorical picking times of the ith picking unit;
n is the sum of the calculated historical picking times of each picking unit in at least one picking unit;
Dmaxcalculating the maximum value in the single picking longest route of each picking unit in the at least one picking unit;
Dsumthe sum of the calculated historical picking distance totals of each picking unit in the at least one picking unit.
In some optional implementations of this embodiment, this step may also be performed as follows:
calculating the picking efficiency of the target warehouse according to the following formula:
wherein:
Ewcalculating the picking efficiency of the target warehouse;
a is a constant greater than 1;
m is the number of picking units in at least one picking unit;
i is a positive integer between 1 and M;
Nihistorical picking times of the ith picking unit;
n is the sum of the calculated historical picking times of each picking unit in at least one picking unit;
Dmaxcalculating the maximum value in the single picking longest route of each picking unit in the at least one picking unit;
Dsumthe sum of the calculated historical picking distance totals of each picking unit in the at least one picking unit.
The method provided by the above embodiment of the present application first obtains the bin information of each bin in at least one bin in the target warehouse; then, for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in a target warehouse within a preset time period, and determining the historical picking times, the historical picking total amount and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in at least one storage position; and finally, determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit. Therefore, the labor cost and the time cost for evaluating the storage space planning of the warehouse are reduced.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for evaluating a warehouse is illustrated. The process 400 of the method for evaluating a warehouse includes the steps of:
And step 403, determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
In this embodiment, the specific operations of step 401, step 402, and step 403 are substantially the same as the operations of step 201, step 202, and step 203 in the embodiment shown in fig. 2, and are not described again here.
Step 404 determines whether to alter the bin position information for the bin in the target warehouse based on the determined picking efficiency, and if so, either passes to step 405 or to step 405'.
In this embodiment, after determining the picking efficiency of the target warehouse in step 403, the electronic device may determine whether to change the bin position information of the bin in the target warehouse according to the determined picking efficiency. Specifically, when the picking efficiency is low, it is indicated that the picking efficiency is low in the practical operation of the bin plan represented by the bin position information of at least one bin in the target warehouse, and therefore, it may be determined to change the bin position information of the bin in the target warehouse to improve the picking efficiency of the target warehouse. When the picking efficiency is high, the picking efficiency of the storage level plan represented by the storage level information of at least one storage level in the target warehouse is acceptable in practical operation, so that the storage level position information of the storage level in the target warehouse can be determined not to be changed. In practice, a preset efficiency threshold may be set, and in the case where the determined picking efficiency is less than the preset efficiency threshold, the storage location information of the storage location in the modification target warehouse is determined, and in the case where the determined picking efficiency is not less than the preset efficiency threshold, the storage location information of the storage location in the modification target warehouse is determined.
In the event that it is determined to change bin position information for a bin in the target warehouse, one may proceed to step 405 or to step 405', in the event that it is determined not to change bin position information for a bin in the target warehouse, then one ends.
In this embodiment, in the case that it is determined in step 404 that the bin position information of the bin in the target warehouse is changed, for each bin in the at least one bin, the electronic device may count the sum of the number of the historical picking information corresponding to the bin in the historical picking information sequence of each picking unit in the at least one picking unit, and obtain the historical picked times of the bin within the preset time period, where the historical picking information corresponding to the bin is the historical picking information with the same picking bin identifier as the bin identifier of the bin. After step 405 is executed, the process goes to step 406.
And 406, selecting a preset number of storage positions from at least one storage position according to the sequence of the historical picking times from large to small to obtain a high-frequency storage position set.
In this embodiment, after the electronic device has executed step 405, a preset number of storage positions are selected from at least one storage position according to the descending order of the historical picking times, so as to obtain a high-frequency storage position set. That is, the bin in the high-frequency bin set is a bin with a high frequency of being picked. After step 406 is executed, the flow goes to step 407.
In this embodiment, after the step 406 is executed, for each high-frequency bin in the set of high-frequency bins, according to the historical picking information sequence of each picking unit in the at least one picking unit, the electronic device may determine, in the at least one bin, the bin with the longest single picking route from the high-frequency bin, and modify the bin position information of the determined bin so that the route between the high-frequency bin and the determined bin after modification is smaller than the route between the high-frequency bin and the determined bin before modification.
Step 405', for each picking unit in at least one picking unit, determining two storage positions corresponding to the single picking longest route of the picking unit according to the obtained historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
In this embodiment, in the case that the electronic device determines to change the bin position information of the bin in the target warehouse in step 404, for each picking unit in at least one picking unit, two bins corresponding to the longest distance of a single picking of the picking unit are determined according to the obtained historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the process 400 of the method for evaluating a warehouse in the present embodiment has more steps of changing the storage location information of the storage location of the target warehouse, so that the storage location plan of the target warehouse can be modified to improve the picking efficiency of the target warehouse when it is determined that the picking efficiency of the target warehouse is low.
With further reference to fig. 5, as an implementation of the method shown in the above figures, the present application provides an embodiment of an apparatus for evaluating a warehouse, which corresponds to the embodiment of the method shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for evaluating a warehouse of the present embodiment includes: an acquisition unit 501, a first determination unit 502, and a second determination unit 503. The acquiring unit 501 is configured to acquire bin information of each bin in at least one bin in a target warehouse, where the bin information includes a bin identifier and bin position information; a first determining unit 502, configured to obtain, for each pick unit in at least one pick unit, a historical pick information sequence of the pick unit in the target warehouse within a preset time period, where the historical pick information includes a pick storage location identifier; determining the historical picking times, the total historical picking distance and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position; the second determining unit 503 is configured to determine the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
In this embodiment, specific processes of the obtaining unit 501, the first determining unit 502, and the second determining unit 503 of the apparatus 500 for evaluating a warehouse and technical effects brought by the specific processes can refer to related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of the present embodiment, the apparatus 500 for evaluating a warehouse may further include: a third determining unit 504 configured to determine whether to change the bin position information of the bin in the target warehouse according to the determined picking efficiency. The detailed processing of the third determining unit 504 and the technical effects thereof can refer to the related description of step 404 in the corresponding embodiment of fig. 4, and are not repeated herein.
In some optional implementations of the present embodiment, the apparatus 500 for evaluating a warehouse may further include: a counting unit 505 configured to count, for each storage location in the at least one storage location, a sum of the number of pieces of historical picking information corresponding to the storage location in the historical picking information sequence of each picking unit in the at least one picking unit to obtain the historical picked times of the storage location in the preset time period, in response to determining to change the storage location position information of the storage location in the target warehouse, wherein the historical picking information corresponding to the storage location is historical picking information with the same picking storage location identification as that of the storage location; a selecting unit 506 configured to select a preset number of storage positions from the at least one storage position according to a descending order of historical picking times to obtain a high-frequency storage position set; a first changing unit 507 configured to determine, for each high-frequency bin in the set of high-frequency bins, a bin with the longest single picking distance from the high-frequency bin according to the historical picking information sequence of each picking unit in the at least one picking unit, and change the bin position information of the determined bin so that the distance between the high-frequency bin and the determined bin after being changed is less than the distance between the high-frequency bin and the determined bin before being changed. The detailed processing of the counting unit 505, the selecting unit 506, and the first changing unit 507 and the technical effects thereof can refer to the related descriptions of step 405, step 406, and step 407 in the corresponding embodiment of fig. 4, which are not repeated herein.
In some optional implementations of the present embodiment, the apparatus 500 for evaluating a warehouse may further include: a second changing unit 505' configured to, in response to determining to change the bin position information of the bin in the target warehouse, for each of the at least one picking unit, determine two bins corresponding to a single picking longest route of the picking unit according to the obtained historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification. The detailed processing of the second modification unit 505 'and the technical effects thereof can refer to the related description of step 405' in the corresponding embodiment of fig. 4, and are not repeated herein.
In some optional implementations of this embodiment, the first determining unit 502 may include: a first determining module 5021, configured to determine the historical picking information number in the obtained historical picking information sequence as the historical picking times of the picking unit in the target warehouse within the preset time period; the execution module 5022 is configured to determine the first piece of historical picking information in the obtained historical picking information sequence as the current picking information, set the total quantity of the historical picking routes and the maximum single picking route of the picking unit to be zero, and execute the following determination operations: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the historical total picking distance of the picking unit to the sum of the historical total picking distance of the picking unit and the current distance; determining whether the current route is larger than the single picking longest route of the picking unit; if the distance is larger than the preset distance, updating the single picking longest distance of the picking unit to the current distance; determining whether the current picking information is the last-but-one historical picking information in the obtained historical picking information sequence, if so, ending the determining operation; the second determining module 5023 is configured to determine the next historical picking information of the current picking information in the obtained historical picking information sequence as the current picking information if the current picking information is not the last-but-last historical picking information in the obtained historical picking information sequence, and continue to execute the determining operation. The specific processing of the first determining module 5021, the executing module 5022 and the second determining module 5023 and the technical effects thereof can refer to the related description of step 202 in the corresponding embodiment of fig. 2, and are not repeated herein.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An Input/Output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output section 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, and a second determination unit. The names of these units do not in some cases constitute a limitation on the unit itself, and for example, the acquisition unit may also be described as a "unit that acquires bin information".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring storage position information of each storage position in at least one storage position in a target warehouse, wherein the storage position information comprises storage position identification and storage position information; for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in the target warehouse within a preset time period, wherein the historical picking information comprises a picking storage position identifier; determining the historical picking times, the total historical picking distance and the single picking longest distance of the picking unit in the target warehouse within the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position; and determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (12)
1. A method for evaluating a warehouse, the method comprising:
acquiring storage position information of each storage position in at least one storage position in a target warehouse, wherein the storage position information comprises storage position identification and storage position information;
for each picking unit in at least one picking unit, acquiring a historical picking information sequence of the picking unit in the target warehouse within a preset time period, wherein the historical picking information comprises a picking storage position identifier and comprises information for indicating picking of the picking unit; determining the historical picking times, the historical picking total distance and the single picking longest distance of the picking unit in the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position;
determining the picking efficiency of the target warehouse according to the historical picking times, the historical picking total amount and the single picking longest distance of each picking unit in the at least one picking unit, wherein the determining comprises the following steps: and dividing the product of the sum of the historical picking times of each picking unit and the maximum value in the single picking longest distance of each picking unit by the sum of the historical picking distances of each picking unit to determine the result of division calculation as the picking efficiency.
2. The method of claim 1, further comprising:
determining whether to modify bin position information for bins in the target warehouse based on the determined picking efficiency.
3. The method of claim 2, further comprising:
in response to determining to change the stock level position information of the stock level in the target warehouse, counting the sum of the number of pieces of historical picking information corresponding to the stock level in the historical picking information sequence of each picking unit in the at least one picking unit for each stock level in the at least one stock level to obtain the historical picked times of the stock level in the preset time period, wherein the historical picking information corresponding to the stock level identifies the historical picking information with the same identification as the stock level of the stock level for the picking stock level;
selecting a preset number of storage positions from the at least one storage position according to the sequence of the historical picking times from large to small to obtain a high-frequency storage position set;
for each high-frequency storage position in the high-frequency storage position set, according to the historical picking information sequence of each picking unit in the at least one picking unit, determining the storage position with the longest single picking route between the high-frequency storage position and the high-frequency storage position in the at least one storage position, and changing the storage position information of the determined storage position so that the route between the high-frequency storage position and the determined storage position after being changed is smaller than the route between the high-frequency storage position and the determined storage position before being changed.
4. The method of claim 2, further comprising:
in response to determining to change the storage position information of the storage positions in the target warehouse, for each picking unit in the at least one picking unit, determining two storage positions corresponding to the single picking longest distance of the picking unit according to the acquired historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
5. The method according to any one of claims 1-4, wherein determining the historical picking times, the historical picking total and the single picking longest distance of the picking unit in the preset time period according to the obtained historical picking information sequence and the bin information of each bin of the at least one bin comprises:
determining the historical picking information number in the obtained historical picking information sequence as the historical picking times of the picking unit in the target warehouse in the preset time period;
determining the first piece of historical picking information in the obtained historical picking information sequence as the current picking information, setting the total quantity of the historical picking distance and the maximum single picking distance of the picking unit as zero, and executing the following determination operation: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the historical total picking distance of the picking unit to the sum of the historical total picking distance of the picking unit and the current distance; determining whether the current route is larger than the single picking longest route of the picking unit; if the current route is larger than the current route, updating the single picking longest route of the picking unit to the current route; determining whether the current picking information is the last-but-one historical picking information in the acquired historical picking information sequence, and if so, ending the determining operation;
if not, determining the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as the current picking information, and continuously executing the determination operation.
6. An apparatus for evaluating a warehouse, the apparatus comprising:
the system comprises an acquisition unit, a storage unit and a storage unit, wherein the acquisition unit is configured to acquire storage position information of each storage position in at least one storage position in a target warehouse, and the storage position information comprises storage position identification and storage position information;
a first determining unit configured to obtain, for each of at least one picking unit, a historical picking information sequence of the picking unit in the target warehouse within a preset time period, wherein the historical picking information comprises a picking storage location identifier, and the historical picking information comprises information indicating picking of the picking unit; determining the historical picking times, the historical picking total distance and the single picking longest distance of the picking unit in the preset time period according to the acquired historical picking information sequence and the storage position information of each storage position in the at least one storage position;
a second determining unit configured to determine the picking efficiency of the target warehouse according to the historical picking times, the historical picking path total amount and the single picking longest path of each picking unit in the at least one picking unit, including: and dividing the product of the sum of the historical picking times of each picking unit and the maximum value in the single picking longest distance of each picking unit by the sum of the historical picking distances of each picking unit to determine the result of division calculation as the picking efficiency.
7. The apparatus of claim 6, further comprising:
a third determination unit configured to determine whether to modify bin position information of the bins in the target warehouse according to the determined picking efficiency.
8. The apparatus of claim 7, further comprising:
a counting unit configured to count, for each storage location in the at least one storage location, a sum of the number of pieces of historical picking information corresponding to the storage location in the historical picking information sequence of each picking unit in the at least one picking unit to obtain the historical picked times of the storage location in the preset time period, wherein the historical picking information corresponding to the storage location identifies the same historical picking information as the storage location identification of the storage location;
the selecting unit is configured for selecting a preset number of storage positions from the at least one storage position according to the sequence of the historical picking times from large to small to obtain a high-frequency storage position set;
the first changing unit is configured to determine, for each high-frequency storage position in the high-frequency storage position set, a storage position with the longest single picking route between the high-frequency storage position and the high-frequency storage position according to the historical picking information sequence of each picking unit in the at least one picking unit, and change the storage position information of the determined storage position so that the route between the high-frequency storage position and the determined storage position after being changed is smaller than the route between the high-frequency storage position and the determined storage position before being changed.
9. The apparatus of claim 7, further comprising:
a second changing unit configured to, in response to determining to change the bin position information of the bins in the target warehouse, for each of the at least one picking unit, determine two bins corresponding to a single picking longest route of the picking unit according to the obtained historical picking information sequence of the picking unit; the bin position information of the two determined bins is modified such that the distance between the two determined bins after modification is less than the distance between the two determined bins before modification.
10. The apparatus according to any one of claims 6-9, wherein the first determining unit comprises:
a first determining module configured to determine the historical picking information number in the obtained historical picking information sequence as the historical picking times of the picking unit in the target warehouse in the preset time period;
the execution module is configured to determine the first piece of historical picking information in the obtained historical picking information sequence as the current picking information, set the total historical picking distance and the single picking longest distance of the picking unit as zero, and execute the following determination operations: determining a storage position indicated by a picking storage position identification of the next piece of historical picking information of the current picking information in the obtained historical picking information sequence as a next picking storage position; determining the distance between the storage position indicated by the picking storage position identification of the current picking information and the next picking storage position as the current distance; updating the historical total picking distance of the picking unit to the sum of the historical total picking distance of the picking unit and the current distance; determining whether the current route is larger than the single picking longest route of the picking unit; if the current route is larger than the current route, updating the single picking longest route of the picking unit to the current route; determining whether the current picking information is the last-but-one historical picking information in the acquired historical picking information sequence, and if so, ending the determining operation;
and the second determining module is configured to determine the next piece of historical picking information of the current picking information in the acquired historical picking information sequence as the current picking information if the current picking information is not the last-but-last piece of historical picking information in the acquired historical picking information sequence, and continuously execute the determining operation.
11. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-5.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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| CN113139766A (en) * | 2020-01-20 | 2021-07-20 | 北京京东振世信息技术有限公司 | Method and device for calculating roadway congestion rate and method and device for selecting storage position |
| CN113762836A (en) * | 2020-08-25 | 2021-12-07 | 北京京东乾石科技有限公司 | Goods warehousing processing method, device, equipment and storage medium |
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