JP2024509555A - Processing methods, devices, media and electronic equipment for picking tasks - Google Patents

Abstract

A method, device, medium, and electronic device for processing a picking task, the method comprising: determining positioning information of a storage space to which an article in order information belongs (S102); generating a picking task by merging the positioning information based on the picking task (S104); sorting the articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information; Step (S106): Load the articles in the first picking container into the introduction sorting device, and the introduction sorting device sorts the articles and conveys them to the re-inspection device (S108); The articles in the second picking container are transferred to the re-inspection device. It includes a step of charging (S110). The method improves the compatibility of multiple types of picking tasks, improves the processing efficiency and shipping efficiency of picking tasks, and further reduces labor costs.

Description

Cross-reference to related applications This disclosure is based on the Chinese patent application number 202110514265.3 filed on April 29, 2021, and the title of the invention is "picking task processing method, device, medium and electronic device" Priority of the application is claimed and the entire disclosure of the Chinese patent application is hereby incorporated by reference.

The present disclosure relates to the field of logistics technology, and specifically relates to a picking task processing method, a picking task processing device, a computer-readable storage medium, and an electronic device.

Currently, after a customer order arrives at the logistics distribution center, the distribution center disassembles the customer order information and launches a cargo sorting operation based on parameters such as delivery time requirements, delivery site location, delivery company order, etc. Convert orders into freight sorting queues with order characteristics, each freight sorting queue can pick for customers with multiple orders, generate a picking list after the sorting is completed, and send multiple pickings to the logistics distribution center warehouse With the division of areas, taking into account cargo sorting efficiency requirements, in this case the picking list can be divided into multiple sub-picking lists, and each picking area and sub-picking list have a one-to-one correspondence. It can be made to form. Next, cargo is sorted in each picking area using radio frequency, the sorted cargo is placed in returnable boxes, and the returnable boxes are further transported to the electronic tag shelf, thereby completing the allocation of the cargo to the customer. Each customer order must be re-inspected once to ensure accuracy, and the shipments are then packaged and delivered in bulk to the corresponding site pickup location.

In the related technology, when goods in the same storage space correspond to picking tasks of multiple different order types, sorting workers who perform various order sorting tasks need to perform the sorting, respectively, so that multiple types of orders are handled separately. To avoid confusion, the number of times the picking worker has to perform is large, which increases the picking time and reduces the sorting efficiency, which affects the efficiency of order dispatch.

It should be noted that the information disclosed in the background section above is only for enhancing the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. I want to be

An object of the present disclosure is to provide a picking task processing method, a picking task processing device, a medium, and an electronic device to solve, at least to some extent, the problem of inefficient shipping due to limitations and shortcomings of related technologies. .

According to one aspect of embodiments of the present disclosure, a method for processing a picking task is provided, comprising: determining positioning information of a storage space to which an item in order information belongs; and determining positioning information based on SKU dimensions of the item in the storage space. a step of merging the picking tasks to produce a picking task; a step of sorting the articles in the storage space into a first picking container or a second picking container based on the quantity of the articles in the attribute information of the picking task and the order information; The method includes the steps of loading the articles in the container into an introduction sorter that can sort and convey the articles to the re-inspection device, and loading the articles in the second picking container into the re-inspection device.

In an exemplary embodiment of the present disclosure, a method for processing a picking task includes the steps of: determining a number of times a picking device for placing a first picking container and a second picking container receives a picking task; a step of determining whether the number of picking tasks is equal to or less than a predetermined number of times, and a step of determining an aisle having the highest picking density as an aisle to be picked when it is determined that the number of picking tasks is equal to or less than a preset number of times; , further including.

In an exemplary embodiment of the present disclosure, the method for processing a picking task includes: if it is determined that the number of picking tasks is greater than a preset number, there is a storage space for an article in a first aisle in which a picking device is located; and if it is determined that the first aisle in which the picking device is located does not have storage space, picking a second aisle that is closest to the first aisle based on the code order of the aisles; The method further includes determining the second aisle as a target aisle, and determining the second aisle as a picking target aisle if it is determined that the second aisle has storage space.

In an exemplary embodiment of the present disclosure, sorting the articles in the storage space into the first picking container or the second picking container based on the attribute information of the picking task and the quantity of the articles in the order information includes the step of sorting the articles in the first picking container or the second picking container based on the attribute information of the picking task a step of determining a sorting priority based on attribute information of the picking task; a step of determining whether the quantity of articles is less than or equal to a preset quantity of articles; If it is determined that the quantity of articles is less than or equal to a preset quantity of articles, sorting the articles to a second picking container based on the sorting priority; and if it is determined that the quantity of articles is larger than the preset quantity of articles; sorting the articles into a first picking bin based on the sorting priority.

In an exemplary embodiment of the present disclosure, determining the sorting priority based on the attribute information of the picking task includes determining a first priority based on the quantity of articles to be picked in the picking task; If it is determined that the quantities of the target goods are equal, determining a second priority based on the lot time of the picking task; and if the lot times of the picking task are determined to be equal, determining a third priority based on the method.

In an exemplary embodiment of the present disclosure, the method for processing a picking task includes difference information between the sorted articles and the articles in the order information based on the picking results of the first picking container and the picking results of the second picking container. a step of determining picking backlog information of the article in the difference information; a step of determining order type information included in the order information; and generating an additional picking task based on the picking backlog information and the order type information. The method further includes the step of:

In an exemplary embodiment of the present disclosure, generating additional picking tasks based on the picking backlog information and order type information determines picking backlog amounts for various types of order tasks based on the picking backlog information. and generating an additional picking task for the order task based on the magnitude relationship between the difference information and the picking backlog amount.

According to another aspect of embodiments of the present disclosure, an apparatus for processing a picking task is provided, including a determination module used to determine positioning information of a storage space to which an item in order information belongs, and a SKU of the item in the storage space. a generation module used to generate a picking task by merging positioning information based on dimensions; and a generation module used to generate a picking task by merging positioning information based on dimensions; a picking module used for sorting into picking containers; a transport module used for inputting the articles in the first picking container into an introduction sorting device that can sort the articles and convey them to the re-inspection device; and a transport module used to input the articles in the second picking container into the re-inspection device.

According to another aspect of the present disclosure, there is provided a computer-readable storage medium having a program stored thereon, which program, when executed by a processor, comprises a method for processing a picking task according to any one of the preceding paragraphs. Realize.

According to another aspect of the disclosure, an electronic device is provided, including a processor and a memory for storing executable instructions of the processor, wherein the processor executes the executable instructions. The picking task processing method according to any one of the following items is arranged to be executed.

The technical solution of the embodiment of the present disclosure determines the positioning information of the storage space to which the article in the order information belongs, merges the positioning information based on the SKU dimension of the article in the storage space to generate a picking task, and Simultaneously perform single-order and multiple-order flow sorting tasks on the goods in the storage space, and place the goods in the storage space into the first picking container or the second picking based on the attribute information of the picking task and the quantity of the goods in the order information. sort into containers, perform branch processing for order tasks based on the dimensions of the picking container, and then feed the articles in the first picking container into the introduction sorting device, which sorts the articles and sends them to the re-inspection device. improving the compatibility in the picking process of multiple types of order tasks, and at the same time reducing the cumbersome picking process steps, by transporting and loading the goods in the second picking container into the re-inspection device; Improve processing efficiency of picking tasks and shipping efficiency, and further reduce labor costs.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not intended to limit the present disclosure.

The accompanying drawings are incorporated herein to constitute a part of this specification, to illustrate embodiments consistent with the disclosure, and to serve, together with the specification, to explain the principles of the disclosure. used. Obviously, the drawings in the following description are only some examples of the present disclosure, and a person skilled in the art can derive other drawings from these drawings without any creative effort.

FIG. 1 shows a flowchart of a method for processing a picking task according to an exemplary embodiment of the present disclosure. FIG. 2 shows a flowchart of another method for processing a picking task according to an example embodiment of the present disclosure. FIG. 3 depicts a flowchart of another method for processing a picking task according to an example embodiment of the present disclosure. FIG. 4 depicts a flowchart of another method for processing a picking task according to an example embodiment of the present disclosure. FIG. 5 shows a flowchart of another picking task processing method according to an example embodiment of the present disclosure. FIG. 6 shows a flowchart of another method for processing a picking task according to an example embodiment of the present disclosure. FIG. 7 shows a flowchart of another method for processing a picking task according to an example embodiment of the present disclosure. FIG. 8 shows a flowchart of another picking task processing method according to an example embodiment of the present disclosure. FIG. 9 shows a schematic diagram of an interface of an inventory unloading system according to an example embodiment of the present disclosure. FIG. 10 shows a schematic diagram of a picking container binding interface according to an exemplary embodiment of the present disclosure. FIG. 11 shows a schematic diagram of a flow sorting unstocking interface according to an example embodiment of the present disclosure. FIG. 12 shows a schematic diagram of another flow sorting unstocking interface according to an example embodiment of the present disclosure. FIG. 13 shows a schematic diagram of a flow sorting picking difference reporting interface according to an example embodiment of the present disclosure. FIG. 14 shows a schematic diagram of another flow sorting unstocking interface according to an example embodiment of the present disclosure. FIG. 15 shows a block diagram of a picking task processing apparatus according to an example embodiment of the present disclosure. FIG. 16 shows a block diagram of an electronic device according to an example embodiment of the present disclosure.

Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments may be implemented in a variety of forms and should not be understood as limited to the examples set forth herein. Rather, by providing these embodiments, this disclosure will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. The following description provides many specific details to provide a thorough understanding of embodiments of the disclosure. However, those skilled in the art will appreciate that technical aspects of the present disclosure can be practiced without one or more of the specific details described above, or with other methods, components, devices, steps. It will be understood that the following can be adopted. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring aspects of the disclosure.

Furthermore, terms such as "first", "second" and the like are used for descriptive purposes only and as indicating or implying relative importance or implying a number of technical features illustrated. It should not be construed as an indication of the Accordingly, features defined as "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this disclosure, "plurality" means at least two, such as two, three, etc., unless explicitly defined otherwise. The symbol "/" generally indicates that the context-sensitive object is in an "or" relationship.

In this disclosure, unless otherwise explicitly defined and limited, terms such as "connection" should be understood broadly, eg, capable of being electrically connected or communicating with each other. The connection may be made directly or indirectly via an intermediate medium. Those skilled in the art can understand the specific meanings of the above terms in this disclosure depending on the specific situation.

Also, the attached drawings are only schematic illustrations of the present disclosure, and the same reference numerals indicate the same or similar parts, and therefore, their repeated description will be omitted. Some of the block diagrams depicted in the drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be realized in software or in one or more hardware modules or integrated circuits or in different network and/or processor devices and/or microcontroller devices. It's okay.

In the following, each step of the method for processing a picking task in this exemplary embodiment will be explained in more detail with reference to the drawings and examples.

FIG. 1 is a flowchart of a method for processing a picking task according to an exemplary embodiment of the present disclosure.

As shown in FIG. 1, the method for processing a picking task includes the following.
Step S102: Determine the positioning information of the storage space to which the article belongs in the order information.

Step S104: Generate a picking task by merging the positioning information based on the SKU dimension of the articles in the storage space.

Step S106: Sorting the articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information.

Step S108: The articles in the first picking container are put into the introduction sorting device, and the introduction sorting device can sort the articles and convey them to the re-inspection device.

Step S110: Load the articles in the second picking container into the re-inspection device.
In the above embodiment, determining the positioning information of the storage space to which the item in the order information belongs, and merging the positioning information based on the SKU (Stock Keeping Unit) dimension of the item in the storage space to generate a picking task; The articles in the storage space are sorted into the first picking container or the second picking container based on the attribute information of the picking task and the quantity of the articles in the order information, and the articles in the first picking container are put into the introduction sorting device, and the introduction sorting device can sort the goods and transport them to the re-inspection equipment, and by feeding the goods in the second picking container into the re-inspection equipment, it can shorten the picking time, improve the picking density, and improve the processing efficiency of the picking task. improve and further reduce labor costs.

In an exemplary embodiment of the present disclosure, by performing article sorting according to the SKU dimension for multiple types of picking tasks corresponding to one storage space, the articles are separated from the perspective of the picking container and the picking task is Reduce the number of runs, improve the efficiency of picking tasks and reduce labor costs.

In an exemplary embodiment of the present disclosure, a picking task is generated by selecting all the articles to be picked in the storage space and merging the positioning information according to the SKU dimension of the articles in the storage space, and generating a picking task by selecting all the articles to be picked in the storage space and merging the positioning information according to the SKU dimension of the articles in the storage space, After matching the positioning information of multiple orders, the picking task is merged into one picking task to improve the picking density of the picking task.

In an exemplary embodiment of the present disclosure, different containers are distinguished based on the quantity of items in the picking task attribute information and order information, and further different subsequent generation processes are performed based on the different containers, eliminating redundant sorting steps and Reduce sorting steps and further improve shipping efficiency.

In an exemplary embodiment of the present disclosure, if the quantity of the items in the order information is multiple, the items in the storage space are sorted into a first picking container, and the items corresponding to the multiple orders are stored in the first picking container. , transport the goods in the first picking container to the introduction sorting device, bind the order information of the goods to the re-inspection station, transport the matched goods to a different re-inspection station, pack and leave the warehouse after re-inspection.

In an exemplary embodiment of the present disclosure, if the quantity of the item in the order information is single, the item in the storage space is sorted into a second picking bin, and the integrated refill is sent to the item in the second picking bin. The inspection and packaging process is carried out directly, there is no need to carry out the process of introduction sorting, reducing the time of the picking process and improving the efficiency of the picking task.

In an exemplary embodiment of the present disclosure, picking efficiency is achieved by differentiating between two different picking containers during the picking stage, i.e., by diverting the same SKU articles of the same storage space by the first picking container and the second picking container. improve.

As shown in FIG. 2, the processing of the picking task further includes the following.
Step S202: determining the number of times the picking device receives picking tasks, and the picking device is used to place the first picking container and the second picking container.

Step S204: Determine whether the number of times is less than or equal to a preset number of times, and if so, execute step S206, otherwise execute step S208.

Step S206: If it is determined that the number of picking tasks is less than or equal to the preset number, the aisle with the highest picking density is determined as the aisle to be picked.

Step S208: If it is determined that the number of picking tasks is greater than the preset number, the aisle next to the aisle where the picking device is located is determined as the aisle to be picked.

In the above embodiment, the position of the picking device in the inventory area and the picking progress can be determined by determining the number of times the picking device receives picking tasks, and the picking device picks the first picking container and the second picking container. If it is determined that the number of picking tasks is less than or equal to a preset number of times, the aisle with the highest picking density is determined as the aisle to be picked, and at this time, the items in the picking container are Therefore, the picking device picks according to the aisle with the highest picking density to improve the picking density, and if the number of picking tasks is determined to be greater than the preset number, the picking device picks according to the aisle where the picking device is located. It helps to determine the aisle as the aisle to be picked, avoids the picking device from going through duplicate picking paths, and at the same time reduces the probability of picking path collision between multiple picking devices, improving the processing efficiency of the picking task. Improve overall.

As shown in FIG. 3, the method for processing a picking task further includes the following.
Step S302: If it is determined that the number of picking tasks is greater than the preset number, it is determined whether there is a storage space for the article in the first aisle where the picking device is located.

In one embodiment of the present disclosure, the preset number of times may be one.
Step S304: If it is determined that the first aisle where the picking device is located does not have storage space, the second aisle, which is the closest aisle to the first aisle, is selected as the picking target aisle based on the code order of the aisles. Determine as.

Step S306: If it is determined that the second aisle has storage space, the second aisle is determined as the aisle to be picked.

In the above embodiment, if it is determined that the number of picking tasks is greater than a preset number of times, it is further determined whether or not there is storage space for the article in the first aisle where the picking device is located, and If it is determined that the first aisle in which the picking device is located does not have storage space, the second aisle, which is the closest aisle to the first aisle, is selected based on the code order of the aisles. If the second aisle is determined to have storage space, the second aisle is determined as the aisle to be picked, thereby shortening the picking route and reducing the time required for the picking task. and improve the efficiency of picking tasks.

As shown in FIG. 4, sorting the articles in the storage space into the first picking container or the second picking container based on the attribute information of the picking task and the quantity of the articles in the order information includes the following.

Step S402: Determine attribute information of the picking task.
Step S404: Determine the sorting priority based on the attribute information of the picking task.

Step S406: Determine whether the quantity of articles is less than or equal to a preset quantity of articles, and if so, execute step S408, otherwise execute step S410.

Step S408: If it is determined that the quantity of articles is less than or equal to the preset quantity of articles, the articles are sorted into the second picking container based on the sorting priority.

Step S410: If it is determined that the quantity of articles is larger than the preset quantity of articles, the articles are sorted into the first picking container based on the sorting priority.

In the above embodiment, by determining the attribute information of the picking task and determining the sorting priority based on the attribute information of the picking task, the shipping speed of orders with high shipping timeliness is improved, and specifically, , determines whether the quantity of articles is less than or equal to a preset quantity of articles, and if it is determined that the quantity of articles is less than or equal to a preset quantity of articles, the article is sorted based on the sorting priority. If the number of items is determined to be larger than the preset number of items after sorting into the second picking container, the items are sorted into the first picking container based on the sorting priority and stored at the same angle as the picking container. To improve the timeliness of order dispatch by not only separating the goods of the same SKU in the space, but also sorting the goods according to the sorting priority for each order task.

As shown in FIG. 5, the step of determining the sorting priority based on the attribute information of the picking task includes the following.

Step S502: Determine a first priority based on the quantity of items to be picked in the picking task.

Step S504: If it is determined that the quantities of the items to be picked are equal, a second priority is determined based on the lot time of the picking task.

Step S506: If it is determined that the lot times of the picking tasks are equal, a third priority is determined based on the order reception time of the picking tasks.

In the above embodiment, after determining the priorities among all the items to be sorted based on the first priority, it is not necessary to determine the second and third priorities, and the first priority is the same. If there is an article, continue to determine the second priority, and if the second priority can determine the priority among all the articles to be sorted, there is no need to determine the third priority, and the second priority can be determined. If there is an article whose first priority and second priority are the same, the third priority will continue to be determined, and the article whose first priority, second priority, and third priority are all the same. If a Items with a large volume are sorted preferentially.

As shown in FIG. 6, the picking task processing method further includes the following.
Step S602: Based on the picking results of the first picking container and the picking results of the second picking container, determine difference information between the sorted items and the items in the order information.

Step S604: Determine article picking backlog information in the difference information.
Step S606: Determine order type information included in the order information.

Step S608: Generate additional picking tasks based on the picking backlog information and order type information.

In the above embodiment, difference information between the sorted items and the items in the order information is determined based on the picking results of the first picking container and the picking results of the second picking container, and the picking backlog of the items in the difference information is determined. improve the accuracy of additional picking tasks by determining the order type information included in the order information and generating additional picking tasks based on the picking backlog information and the order type information; Improve task processing efficiency.

As shown in FIG. 7, generating additional picking tasks based on picking backlog information and order type information includes the following.

Step S702: Determine the picking backlog amount of various types of order tasks based on the picking backlog information.

Step S704: Generate an additional picking task for the order task based on the magnitude relationship between the difference information and the picking backlog amount.

In the above embodiment, the picking backlog amount of various types of order tasks is determined based on the picking backlog information, and the picking backlog amount is determined for the order task based on the magnitude relationship between the difference information and the picking backlog amount. Generating additional picking tasks improves the accuracy and timeliness of the additional picking tasks.

In an exemplary embodiment of the present disclosure, two bins are arranged in one picking device, one for a single order and one for multiple orders, respectively, and a picker receives all picked items in a storage space at once. , when the item is picked and placed in the corresponding container based on the page presentation information on the mobile terminal, and there is no need to separately set the picking type during the picking process by the picking worker, and the container is full. , the container is immediately subjected to line loading processing, and after the line loading processing is performed, the next picking task is bound to the corresponding container.

As shown in FIG. 8, the picking task processing method of the present disclosure includes the following.
Step S802: Send the order to the flow sorting picking task pool.

Step S804: The picking worker receives the sorting device using a mobile terminal.
Step S806: Determine whether the sorting device receives the task for the first time, and if so, execute step S826, otherwise execute step S808.

Step S808: Select a picking storage space based on the previous picking storage space.

Step S810: Generate a picking task by merging the items to be sorted in the storage space.

Step S812: Obtain one of the picking tasks for the storage space and send it to the picking worker's mobile terminal.

Step S814: Bind the sorting task to the picking container of the picking worker.

Step S816: Record the result of picking stock removal.
Step S818: Check whether the articles and quantities match, and if so, execute step S828, otherwise execute step S820.

Step S820: Report the inventory difference of the items in the storage space after sorting.
Step S822: Determine the different items and match the order information based on the quantity of the different items.

Step S824: Update the number of containers to be removed from inventory.
Step S826: Selecting a storage space and/or an aisle to be picked based on the density of aisle tasks.

Step S828: Scan the picked container numbers in order and update the container picking results.

Step S830: Automatically receive the next screening task.
Step S832: Determine that the container is full.

Step S834: Load the full container into the line.
Step S836: Bind the new sorting task to the container after being put on the line.

Corresponding to the embodiments of the above method, as shown in FIGS. The prerequisites of the present disclosure include dispatching picking tasks for flow sorting single orders and multiple orders to a picking task pool, and the specific process is as follows.

Step 1: The picker logs into the picking interface of the mobile device and clicks "Receive flow sorting task automatically".

As shown in FIG. 9, in the corresponding interface of the inventory unloading system 900 according to one embodiment of the present disclosure, the option "Automatically receive flow sorting tasks" is selected, and the system sends the flow sorting tasks to pickers. Assign automatically.

Here, the system differentiates the types of picking tasks that a picker can receive based on the assigned picker privileges.

Step 2: Determine whether the picker receives the task for the first time.
(1) If so, based on the sorting result of the picking task density of all empty aisles (no picker is picking), select the aisle with the highest density as the picking aisle, and set the storage space code as the picking aisle. Select storage spaces with picking tasks in ascending order.

(2) Otherwise, based on the picking storage space in front of the picker, according to the storage space order and the aisle order (first whether there is a picking task in the storage space after the picking storage space in front of the current aisle? If not, determine the next empty aisle based on aisle code order) Select the storage space where the next picking task is located.

Step 3: Background calculation of WMS (Warehouse Management System) server: Generates a picking task by merging the positioning information for all the items to be picked in the selected storage space according to the SKU dimension. (i.e., the same SKU in the same storage space is located by multiple orders and merged into one picking task list). For all picking tasks, the policy that determines the order in which picking tasks are received is as follows.

(1) The picking task with the largest number of items receives priority.
(2) If the number of items is equal, the picking task with the earliest order lot receives the items preferentially.

(3) If the lot times are equal, the picker with the earlier order reception time receives the order preferentially.

(4) After the picker successfully receives the storage space picking task, proceed to the next outgoing process.

Step 4: The picker's mobile device jumps to the container page binding the picking task, and the system uses the scanning order (container A is the container closer to the handle of the picker, B is the container farther from the handle of the picker). ), the picker scans the two container codes in sequence, and after verifying the container's usable status, the system records the correspondence between the container location and the container code. The system defaults container A to serve multiple orders and container B to serve a single order.

As shown in FIG. 10, the interface of the picking container binding 1000 according to the exemplary embodiment of the present disclosure includes "Container A", "Container B", the number of "Container A" to be unloaded (waiting for input), Includes, but is not limited to, the number of "container B" items to be unloaded (waiting for input), the picking device handle 1002, a "confirm" option, and a "cancel" option.

Here, in each inventory unloading operation, it is necessary to scan containers A and B in order, and when binding containers, the order of scanning containers A and B is reversed, and in the picking process, the order of scanning containers A and B is reversed. If the scanning order is maintained, it will result in the system recorded task types of containers A and B not matching the real ones. For example, if the input box for container A is scanned with a container code that is far from the handle of the picking device, the system records the container code that is far from the handle of the picker 1002 as corresponding to a multiple order, but the system records the container code that is far from the handle of the picker 1002 as corresponding to a multiple order; is a single item, and the system records the container that is close to the handle of the picking device as corresponding to a single order, but the actual item placed there is an item from a multiple order.

In one embodiment of the present disclosure, if a container does not match the inventory recorded in the system and the actual inventory, and if it is determined that the cause of the discrepancy is overstock, the overstock is handled when sorting or re-inspection is introduced. (and then performs an inventory return operation), and if it is determined that the cause of the discrepancy is a lack of inventory, a difference record is generated and a picking task is added.

Step 5: After the container number is successfully bound, the picker's mobile terminal interface displays the items to be unloaded, the storage space number and the number of items to be unloaded.

After the picker verifies that the item matches the interface item by scanning the item barcode, the picker counts the number of items in the actual inventory in the storage space, and if the number of items in the actual inventory is found to be greater than the number of items to be unloaded. , enter the actual number of inventory items to be removed.

As shown in FIG. 11, the system verifies whether the actual number of items to be unloaded matches the number of items to be unloaded, and the corresponding interface of the flow sorting inventory unloading 1102 according to an embodiment of the present disclosure is Name: XXXX ” options, including but not limited to.

(1) If the verification matches, the mobile device will present the picker with the number of items to be unloaded in the two containers, and the picker will take the item from the storage space, place it in the corresponding container, and scan the storage space code. and submit the results of inventory unloading of the storage space.

As shown in FIG. 12, the corresponding interface of the flow sorting inventory unloading 1202 according to an embodiment of the present disclosure includes "Name of article: XXXXXXXX", "Storage space code: 1ac001", " SKU code: 100100101'', ``Number of items to be removed from inventory: 16 items'', ``Actual number of items to be removed from inventory: 16 items'', Number of items to be removed from inventory of ``Container A'' (waiting for input), Number of items to be removed from inventory of ``Container B'' ( Waiting for input), ``Confirm'' option, and ``Full'' option.

(2) If the verification does not match, jump to the picking difference page. The picking worker inputs the quantity of inventory shortage or damage according to the actual situation.

As shown in FIG. 13, the corresponding interface of the flow sorting picking difference report 1302 according to an embodiment of the present disclosure includes "Name of article: XXXXXXXX", "Storage space code: 1ac001", " SKU code: 100100101'', ``Number of items to be removed from inventory: 16 items'', ``Actual number of items to be removed from inventory'', ``Insufficient quantity: 2 items'', ``Damaged quantity'' (waiting for input), ``Confirm'' option and ``Full''. ” options, including but not limited to.

The picker selects the "Confirm" option to confirm the differential quantity of the submitted items. In the background of the WMS system, different items are matched with order types (including single and multiple), and the matching rules are as follows.

(a) Determine whether there is an order for this item in the current order picking backlog pool, and if it is determined that there is only one order type that corresponds to this difference item, match the item to the order type; let If it is determined that there are multiple order types that correspond to this different item, the process proceeds to the next step.

(b) Calculate each percentage of the picking backlog for the item in the current order generation pool. Taking a single order as an example, the calculation method is: proportion of backlog of a single product = picking backlog of this product in a single order / number of demands for this product sent to all single orders whose task assignment has completed packing .

(c) Compare the backlog occupancy ratio of a single item and the backlog occupancy ratio of multiple items, and if it is determined that the backlog amount is of the type where the difference quantity < backlog occupancy ratio is small, the backlog occupancy ratio of the item is If the system directly matches a small order type and determines that the difference quantity is greater than or equal to the backlog amount of the type with a small backlog share, it matches the item equal to the backlog amount in the difference quantity to the order type with a small backlog share. , items that exceed the backlog amount in the difference quantity are matched with types that have a large backlog occupancy ratio.

(d) After successful matching of difference quantity and order type, generate warehouse relocation and additional picking tasks according to the selected type. After generating the additional picking task, the picker's mobile terminal jumps to the flow sorting inventory unloading page 1102 and recalculates the actual inventory unloading number of the two containers based on the number of differences.

(e) The picker picks up the items from the storage space based on the actual inventory removal number, places them in the corresponding containers, and submits the inventory removal result by scanning the storage space code.

Step 6: The picker automatically receives the picking task for the remaining items in the current storage space, or the picking task for the next adjacent storage space.

As shown in FIG. 14, the corresponding interface of the inventory unloading 1402 for flow sorting picking according to an embodiment of the present disclosure includes "Name of article: XXXXXXXX", "Storage space code: 1ac001", " "SKU code: 100100101", "Number of items to be removed from inventory: 16 items", "Actual number of items to be removed from inventory", number of items to be removed from inventory of "Container A", number of items to be removed from inventory of "Container B", "Confirm" option, and " including, but not limited to, the "Full" option. Here, the number of items that should be removed from the inventory of "Container A" is eight, and the number of items that should be removed from the inventory of "Container B" is six.

Step 7: Repeat steps 5 and 6 until one of the picking containers is full of goods, click the full button, select one or two containers that need to be filled, and fill Rebind the picking task and the emptied containers after line input.

Step 8: After the container is full, a line input task is sent to the WCS (Warehouse Control System, a one-layer management control system interposed between the WMS system and the PLC system), and the picking worker Filled containers are introduced into the line and the WCS transports the containers to an entry sorting station or a re-inspection station based on the task type corresponding to the container.

Corresponding to the above method embodiments, the present disclosure further provides a picking task processing apparatus, which can be used to perform the above method embodiments.

FIG. 15 is a block diagram of a picking task processing apparatus according to an example embodiment of the present disclosure.

Referring to FIG. 15, a picking task processing apparatus 1500 includes the following.
Determining module 1502: Used to determine positioning information of a storage space to which an article in order information belongs.

Generation module 1504: Used to merge positioning information and generate a picking task based on the SKU dimensions of the items in the storage space.

Picking module 1506: Used to sort the articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information.

Transfer module 1508: Used to load the articles in the first picking container into an input sorting device that can sort the articles and transfer them to the re-inspection device.

Conveyance module 1508: Used to load the articles in the second picking container into the re-inspection device.

Each function of the picking task processing device 1500 is explained in detail in its corresponding method embodiment, so the disclosure will not be repeated here.

It should be noted that while the above detailed description refers to several modules or units of apparatus for performing operations, such division is not required. Indeed, according to embodiments of the present disclosure, the features and functionality of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided to be embodied in multiple modules or units.

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is further provided.

Those skilled in the art will appreciate that various aspects of the invention may be embodied as systems, methods, or program products. Accordingly, each aspect of the invention may be specifically implemented in an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.), or a combined hardware and software embodiment. may be generally referred to herein as a "circuit," "module," or "system."

Next, with reference to FIG. 16, an electronic device 1600 according to this embodiment of the invention will be described. The electronic device 1600 shown in FIG. 16 is merely an example and does not impose any limitations on the functionality or scope of use of embodiments of the present invention.

As shown in FIG. 16, electronic equipment 1600 is represented in the form of a general computing device. The components of electronic device 1600 include at least one processing unit 1610 described above, at least one storage unit 1620 described above, and a bus 1630 that connects different system components (including storage unit 1620 and processing unit 1610). can include, but are not limited to.

wherein said storage unit stores program code, and said program code is executed by said processing unit 1610 to cause said processing unit 1610 to store a program code as described in the above-mentioned "Exemplary Method" herein. Steps according to various exemplary embodiments of the invention may be performed. For example, the processing unit 1610 described above may perform the methods described in the embodiments of this disclosure.

Storage unit 1620 may include readable media in the form of volatile storage units, such as random access storage unit (RAM) 16201 and/or cache storage unit 16202, and further includes read-only storage unit (ROM) 16203. be able to.

The storage unit 1620 can further include programs/utilities 16204 having a series (at least one) of program modules 16205, such as an operating system, one or more application programs, other programs, etc. Each or some combination of these examples may include implementing a network environment, including, but not limited to, modules and program data.

Bus 1630 may be one of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus structures. May represent one or more.

Electronic device 1600 can also communicate with one or more external devices 1700 (e.g., a keyboard, pointing device, Bluetooth device, etc.) and further include one or more external devices 1700 that allow a user to interact with electronic device 1600. and/or any device (e.g., router, modem, etc.) that enables electronic device 1600 to communicate with one or more other computing devices. . This communication can occur via an input/output (I/O) interface 1650. Electronic device 1600 may also communicate with one or more networks (e.g., a local area network (LAN), wide area network (WAN), and/or a public network such as the Internet) via network adapter 16160. You can also do it. As shown, network adapter 16160 communicates with other modules of electronic device 1600 via bus 1630. Although not shown, other hardware and/or software modules may be included, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems. It should be understood that it can be used with electronic device 1600.

From the above description of the embodiments, it will be readily understood by those skilled in the art that the exemplary embodiments described herein may be implemented by software, or by combining software and necessary hardware. May be realized. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which is a non-volatile storage medium (CD-ROM, USB flash memory, removable hard disk, etc.). (which may be a personal computer, a server, a terminal device, a network device, etc.) or may be stored on a network, including a plurality of instructions, based on embodiments of the present disclosure. Execute the method.

In an exemplary embodiment of the present disclosure, there is further provided a computer readable storage medium having stored thereon a program product capable of implementing the methods described herein above. In some possible implementations, aspects of the invention may also be implemented in the form of a program product that includes program code, where the program code is executed on a terminal device. , for causing said terminal device to perform the steps according to various exemplary embodiments of the invention described in the "Exemplary Methods" section herein above.

This disclosure designs a method for processing picking tasks, and the technical key points are as follows.

In the existing flow sorting mode, the system provides a picking path by binding single containers and multiple containers on one picking device.

The system generates a merged picking task for order information of the same SKU according to storage space.

The system displays article sorting data on the mobile terminal.
The picking tasks for the two different types of containers are independent of each other, and whenever a container is full, it can be fed into the line and a new container can be bound.

The system sends single containers and multiple containers to a re-inspection station and an introduction sorting station, respectively.

The same picker can receive two different picking tasks.
A program product for carrying out the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) containing program code and executable on an end device such as a personal computer. can. However, the program product of the present invention is not limited thereto, and herein a readable storage medium includes or includes a program for use by or in connection with an instruction execution system, apparatus, or device. It may be any tangible medium for storage.

The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include an electrical connection having one or more wires, a portable diskette, a hard disk, random access memory (RAM), read only memory (ROM), including erasable programmable read only memory (EPROM or flash memory), fiber optics, portable compact disc read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

The computer-readable signal medium can include a data signal carried at baseband or as part of a carrier wave with readable program code carried therein. Such carrier data signals may take a variety of forms including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal medium also refers to any readable storage medium capable of transmitting, carrying, or transmitting a program for use by or in connection with an instruction execution system, apparatus, or device. It may be a readable medium.

Program code contained on a readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, fiber optic, RF, etc., or any suitable combination of the above. can.

Program code for carrying out the operations of the present invention may be written in any language, including object-oriented programming languages such as Java, C++, and conventional procedural programming languages such as the "C" programming language or similar programming languages. Can be written in any combination of one or more programming languages. The program code may be executed entirely on a user's computing device, partially on a user's device, as a standalone software package, partially on a user's computing device, partially on a remote computing device, or Can be executed entirely on a remote computing device or server. When relating to a remote computing device, the remote computing device may be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN); Alternatively, it may be connected to an external computing device (eg, via the Internet using an Internet service provider).

Furthermore, the drawings described above are merely illustrative illustrations of processes involved in methods according to example embodiments of the present invention, and are not intended to be limiting. It is to be understood that the processes depicted in the figures above are not intended to indicate or limit the temporal order of these processes. Furthermore, it will be readily understood that these processes may be performed synchronously or asynchronously in multiple modules, for example.

Other embodiments of the present disclosure will readily occur to those skilled in the art from consideration of this specification and practice of the invention disclosed herein. This application is in accordance with the general principles of this disclosure and discloses any modifications, uses, or adaptations of this disclosure, including common general knowledge or conventional technical means in the art not disclosed by this disclosure. It is intended to encompass significant changes. The specification and examples are to be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the claims.

The technical solution of the embodiment of the present disclosure determines the positioning information of the storage space to which the article in the order information belongs, merges the positioning information based on the SKU dimension of the article in the storage space to generate a picking task, and Simultaneously perform single-order and multiple-order flow sorting tasks on the goods in the storage space, and place the goods in the storage space into the first picking container or the second picking based on the attribute information of the picking task and the quantity of the goods in the order information. Sort into containers, perform divert processing for order tasks based on the dimension of the picking container,
Furthermore, the articles in the first picking container can be fed into an introduction sorting device, which can sort and convey the articles to the re-inspection device, and the articles in the second picking container can be introduced into the re-inspection device. , improve the compatibility in the picking process of multiple types of order tasks, and at the same time reduce the complicated picking process steps, improve the processing efficiency and shipping efficiency of the picking tasks, and further reduce labor costs.

Claims (10)

A method for processing a picking task, the method comprising:
determining positioning information of a storage space to which the item belongs in the order information;
merging the positioning information to generate a picking task based on SKU dimensions of items in the storage space;
sorting the articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information;
loading the articles in the first picking container into an introduction sorting device that is capable of sorting the articles and conveying them to a re-inspection device;
A method for processing a picking task, comprising the step of: introducing the articles in the second picking container into the re-inspection device. determining the number of times the picking device for placing the first picking container and the second picking container receives the picking task;
determining whether the number of times is less than or equal to a preset number;
2. The method according to claim 1, further comprising the step of determining an aisle having the highest picking density as an aisle to be picked if it is determined that the number of times the picking task is performed is equal to or less than the preset number. How to handle the picking task described. If it is determined that the number of picking tasks is greater than the preset number, determining whether there is storage space for the article in a first aisle where the picking device is located;
If it is determined that the first aisle in which the picking device is located does not have the storage space, a second aisle that is closest to the first aisle is determined as the aisle to be picked based on the code order of the aisle. the step of
The picking task processing method according to claim 2, further comprising the step of determining the second aisle as a picking target aisle when it is determined that the second aisle has the storage space. . Sorting the articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information,
determining attribute information of the picking task;
determining a sorting priority based on attribute information of the picking task;
determining whether the quantity of the article is less than or equal to a preset quantity of the article;
If it is determined that the quantity of the articles is less than or equal to the preset quantity of articles, sorting the articles into the second picking container based on the sorting priority;
If it is determined that the quantity of the articles is larger than the preset quantity of articles, the method may include the step of sorting the articles into the first picking container based on the sorting priority. The method for processing a picking task according to claim 1. The step of determining the sorting priority based on the attribute information of the picking task includes:
determining a first priority based on the quantity of items to be picked in the picking task;
If it is determined that the quantities of the items to be picked are equal, determining a second priority based on the lot time of the picking task;
The picking task processing according to claim 4, further comprising the step of determining a third priority based on the order acceptance time of the picking task if the lot times of the picking tasks are determined to be equal. Method. determining difference information between the sorted articles and the articles in the order information based on the picking results of the first picking container and the picking results of the second picking container;
determining picking backlog information for the article in the difference information;
determining order type information included in the order information;
The method of processing picking tasks according to claim 1, further comprising: generating additional picking tasks based on the picking backlog information and the order type information. generating additional picking tasks based on the picking backlog information and the order type information;
determining picking backlog amounts for various types of order tasks based on the picking backlog information;
The picking task according to claim 6, further comprising: generating the additional picking task for the order task based on a magnitude relationship between the difference information and the picking backlog amount. processing method. A picking task processing device,
a determination module used to determine positioning information of a storage space to which an item belongs in the order information;
a generation module used to merge the positioning information to generate a picking task based on SKU dimensions of items in the storage space;
a picking module used for sorting articles in the storage space into a first picking container or a second picking container based on the attribute information of the picking task and the quantity of the articles in the order information;
a conveyance module used to input the articles in the first picking container to an introduction sorting device that can sort the articles and convey them to a re-inspection device;
The picking task processing device is characterized in that the transport module is further used to load articles in the second picking container into the re-inspection device. A computer readable storage medium storing a computer program,
A computer-readable storage medium, characterized in that the computer program, when executed by a processor, implements the method for processing a picking task according to any one of claims 1 to 7. An electronic device,
a processor;
a memory for storing executable instructions of the processor;
Electronic equipment, characterized in that the processor is arranged to perform the method for processing a picking task according to any one of claims 1 to 7 by executing the executable instructions.

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