CN113269487A

CN113269487A - Method, device, medium and electronic equipment for processing picking task

Info

Publication number: CN113269487A
Application number: CN202110514265.3A
Authority: CN
Inventors: 白秀峰; 朱滢
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2021-04-29
Filing date: 2021-04-29
Publication date: 2021-08-17
Also published as: JP2024509555A; WO2022228133A1; KR20230142578A

Abstract

The disclosure provides a method, a device, a medium and an electronic device for processing a picking task. The processing method of the picking task comprises the following steps: determining the positioning information of the storage position to which the article belongs in the order information; merging the positioning information into a production order picking task according to the SKU dimension of the articles in the storage position; sorting the articles in the storage position to a first picking container or a second picking container according to the attribute information of the picking task and the quantity of the articles in the order information; the goods in the first goods picking container are delivered to the lead-in and separate-sowing equipment, and the lead-in and separate-sowing equipment can separately transmit the goods to the rechecking equipment; and routing the articles in the second picking container to a rechecking device. Through the technical scheme provided by the embodiment of the disclosure, the compatibility of the multi-category picking task is improved, the efficiency of processing the picking task and the ex-warehouse efficiency are improved, and the labor cost is further reduced.

Description

Method, device, medium and electronic equipment for processing picking task

Technical Field

The disclosure relates to the technical field of logistics, and in particular relates to a method and a device for processing a picking task, a computer-readable storage medium and an electronic device.

Background

At present, after a customer order arrives at a logistics distribution center, the distribution center decomposes information of the customer order and starts goods picking operation according to parameters such as distribution time requirements, distribution station areas, distribution company orders and the like, the order from the customer is converted into goods picking queues with order characteristics, each goods picking queue can pick goods for the customers of a plurality of orders, and a picking order is generated after picking. And then, picking the goods in each goods picking area by using wireless radio frequency, loading the picked goods into a turnover box, conveying the turnover box to an electronic tag shelf, thereby completing the distribution of the goods to customers, rechecking the order of each customer in order to ensure the distribution accuracy, and then packaging, collecting and distributing the goods to corresponding station goods collecting positions.

In the related art, when items in the same storage space correspond to a plurality of picking tasks of different order types, a picker who needs to execute each order picking task respectively picks the items to avoid confusion of multiple orders together.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the present disclosure is to provide a method of processing a pick-up task, a device for processing a pick-up task, a medium, and an electronic apparatus for overcoming, at least to some extent, a problem of low ex-warehouse efficiency due to limitations and disadvantages of the related art.

According to an aspect of the embodiments of the present disclosure, there is provided a method for processing a picking task, including: determining the positioning information of the storage position to which the article belongs in the order information; merging the positioning information into a production order picking task according to the SKU dimension of the articles in the storage position; sorting the articles in the storage position to a first picking container or a second picking container according to the attribute information of the picking task and the quantity of the articles in the order information; the goods in the first goods picking container are delivered to the lead-in and separate-sowing equipment, and the lead-in and separate-sowing equipment can separately transmit the goods to the rechecking equipment; and routing the articles in the second picking container to a rechecking device.

In an exemplary embodiment of the present disclosure, the method for processing a picking task further includes: determining the times of picking tasks received by a picking device, wherein the picking device is used for bearing a first picking container and a second picking container; judging whether the times are less than or equal to preset times; and if the number of the picking tasks is judged to be less than or equal to the preset number, determining the channel with the highest picking density as the channel to be picked.

In an exemplary embodiment of the present disclosure, the method for processing a picking task further includes: if the number of times of the goods picking task is larger than the preset number of times, judging whether a first channel where the goods picking equipment is located has a storage position of the goods; if the first channel where the goods picking device is located is judged not to have a storage position, determining that the second channel is a channel to be picked according to the coding sequence of the channels, wherein the second channel is the channel closest to the first channel; and if the second channel is judged to have the storage position, determining that the second channel is the channel for picking the goods.

In one exemplary embodiment of the present disclosure, sorting the items in the storage bin to the first pick container or the second pick container according to the item quantity in the order information and the attribute information of the pick order task includes: determining attribute information of the picking task; determining a picking priority according to the attribute information of the picking task; judging whether the quantity of the articles is less than or equal to the preset quantity of the articles; if the quantity of the items is less than or equal to the preset quantity of the items, the items are sorted to a second sorting container according to the sorting priority; and if the quantity of the items is larger than the preset quantity of the items, the items are sorted to a first sorting container according to the sorting priority.

In an exemplary embodiment of the present disclosure, determining a picking priority from attribute information of the picking task includes: determining a first priority according to the quantity of the goods to be picked in the picking task; if the quantity of the goods to be picked is determined to be equal, determining a second priority according to the time of the picking task; and if the times of the order picking tasks are equal, determining a third priority according to the order receiving time of the order picking tasks.

In an exemplary embodiment of the present disclosure, the method for processing a picking task further includes: determining the difference information of the picked items and the items in the order information according to the picking result of the first picking container and the picking result of the second picking container; determining goods picking overstock information of the goods in the difference information; determining order type information included in the order information; and generating an additional picking task according to the picking overstock information and the order type information.

In one exemplary embodiment of the present disclosure, generating an additional picking task from the pick inventory information and the order type information includes: determining the goods picking overstock amount of various types of order tasks according to the goods picking overstock information; and generating an additional picking task for the order task according to the size relation between the difference information and the picking overstock quantity.

According to another aspect of the disclosed embodiments, there is provided a processing device for a picking task, including: the determining module is used for determining the positioning information of the storage position to which the article belongs in the order information; the generating module is used for merging the positioning information into a production order picking task according to the SKU dimension of the articles in the storage position; the order picking module is used for sorting the articles in the storage position to a first order picking container or a second order picking container according to the attribute information of the order picking task and the number of the articles in the order information; the conveying module is used for throwing the articles in the first goods picking container to the introducing and separating equipment, and the introducing and separating equipment can separate and convey the articles to the rechecking equipment; and the transmission module is used for delivering the articles in the second picking container to the rechecking equipment.

According to another aspect of the present disclosure, there is provided a computer readable storage medium having a program stored thereon, the program, when executed by a processor, implementing a method of processing a pick task as in any one of the above.

According to another aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the method of processing a pick task as any one of the above via execution of executable instructions.

The technical scheme of the embodiment of the disclosure improves the compatibility of the multi-class order task in the picking process by determining the positioning information of the storage positions to which the articles in the order information belong, combining the positioning information according to the dimension of the SKU of the articles in the storage positions to produce a picking task, simultaneously executing the stream picking tasks of single orders and multiple orders for the articles in the same storage position, sorting the articles in the storage positions to a first picking container or a second picking container according to the attribute information of the picking task and the number of the articles in the order information, shunting the order tasks according to the dimension of the picking containers, and then throwing the articles in the first picking container to a lead-in sorting device, wherein the lead-in sorting device can sort and transmit the articles to a rechecking device and throw the articles in the second picking container to the rechecking device, and simultaneously reduces the fussy picking processing steps, the efficiency of handling the task of choosing goods and the efficiency of leaving warehouse have been promoted, have further reduced the cost of labor.

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

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

FIG. 1 illustrates a flow chart of a method of processing a pick-up task in an exemplary embodiment of the present disclosure;

FIG. 2 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 3 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 4 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 5 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 6 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 7 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 8 illustrates a flow chart of another method of processing a pick task in an exemplary embodiment of the present disclosure;

FIG. 9 illustrates an interface schematic of a racking system in an exemplary embodiment of the present disclosure;

fig. 10 illustrates a schematic diagram of an interface for binding a pick container in an exemplary embodiment of the present disclosure;

FIG. 11 illustrates an interface schematic of a flow picking sub-rack in an exemplary embodiment of the present disclosure;

FIG. 12 illustrates an interface schematic of another flow picking sub-rack in an exemplary embodiment of the present disclosure;

fig. 13 is a schematic diagram illustrating an interface for differential reporting of flow picking orders in an exemplary embodiment of the disclosure;

FIG. 14 illustrates an interface schematic of another flow picking sub-rack in an exemplary embodiment of the present disclosure;

FIG. 15 is a block diagram of a processing device for a picking task in an exemplary embodiment of the present disclosure;

FIG. 16 shows a block diagram of an electronic device in an exemplary embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example 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. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present disclosure, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. The symbol "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In the present disclosure, unless otherwise expressly specified or limited, the terms "connected" and the like are to be construed broadly, e.g., as meaning electrically connected or in communication with each other; may be directly connected or indirectly connected through an intermediate. The specific meaning of the above terms in the present disclosure can be understood by those of ordinary skill in the art as appropriate.

Further, the drawings are merely schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The steps of the method for processing a pick-up task in the exemplary embodiment will be described in more detail with reference to the drawings and examples.

Fig. 1 is a flow chart of a method of processing a pick up task in an exemplary embodiment of the disclosure.

Referring to fig. 1, the method of processing a pick-up task includes:

step S102, determining the positioning information of the storage position to which the article belongs in the order information.

And step S104, merging the positioning information into a production order picking task according to the SKU dimension of the articles in the storage position.

And step S106, sorting the articles in the storage space to a first picking container or a second picking container according to the attribute information of the picking task and the article quantity in the order information.

Step S108, the articles in the first goods picking container are cast to the lead-in and separate-sowing equipment, and the lead-in and separate-sowing equipment can distribute and transmit the articles to the rechecking equipment.

Step S110, the items in the second picking container are routed to the rechecking device.

In the above embodiment, the positioning information of the storage locations to which the articles in the order information belong is determined, the positioning information is combined to produce the picking task according to the SKU (Stock Keeping Unit) dimension of the articles in the storage locations, the articles in the storage locations are sorted to the first picking container or the second picking container according to the attribute information of the picking task and the number of the articles in the order information, the articles in the first picking container are routed to the lead-in sorting device, the lead-in sorting device can distribute and transmit the articles to the rechecking device, and the articles in the second picking container are routed to the rechecking device, so that the picking time is shortened, the picking density is increased, the efficiency of processing the picking task is improved, and the labor cost is further reduced.

In an exemplary embodiment of the disclosure, the items are sorted according to the dimension of the SKU by the multi-type sorting task corresponding to one storage place, and the items are shunted from the sorting container, so that the execution times of the sorting task are reduced, the efficiency of the sorting task is improved, and the labor cost is reduced.

In an exemplary embodiment of the disclosure, the picking density of the picking task is improved by selecting all the items to be picked in the storage space, merging the positioning information into the picking task according to the dimension of the SKU of the items in the storage space, matching the same SKU in the same storage space with the positioning information of a plurality of orders, and merging the positioning information into one picking task.

In an exemplary embodiment of the disclosure, different containers are distinguished according to the attribute information of the picking task and the quantity of the articles in the order information, and then different subsequent production processes are performed according to the different containers, so that redundant sorting steps and sorting steps are reduced, and the delivery efficiency is further improved.

In an exemplary embodiment of the disclosure, when the number of the articles in the order information is multiple, the articles in the storage location are sorted to a first order picking container, the articles corresponding to multiple orders are placed in the first order picking container, the articles in the first order picking container are conveyed to the lead-in distribution equipment, the order information of the articles is bound to the rechecking tables, the matched articles are conveyed to different rechecking tables, and the articles are packed and delivered out of the warehouse after being rechecked.

In an exemplary embodiment of the disclosure, when the quantity of the articles in the order information is a single piece, the articles in the storage space are sorted to the second picking container, and the articles in the second picking container are directly subjected to an integrated rechecking and packaging process, so that the process of importing and sorting is not required to be executed, the time of the picking process is shortened, and the efficiency of the picking task is improved.

In an exemplary embodiment of the disclosure, two different picking containers are distinguished in the picking link, namely, the first picking container and the second picking container are used for shunting the items of the same SKU in the same storage position, so that the picking efficiency is improved.

As shown in fig. 2, the processing of the picking task further includes:

step S202, determining the times of picking tasks picked by the picking device, wherein the picking device is used for bearing the first picking container and the second picking container.

In step S204, it is determined whether the number of times is less than or equal to the preset number of times, if so, step S206 is executed, and if not, step S208 is executed.

In step S206, if it is determined that the picking task frequency is less than or equal to the preset frequency, the channel with the highest picking density is determined as the channel to be picked.

And step S208, if the number of the picking tasks is larger than the preset number, determining that the next channel of the channel where the picking equipment is located is a channel 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 picking tasks received by the picking device, the picking device is used for bearing the first picking container and the second picking container, if the number of picking tasks is determined to be less than or equal to the preset number, the channel with the highest picking density is determined to be the channel to be picked, and at this time, the number of articles in the picking container is small, so that the picking device picks the articles according to the channel with the highest picking density, the picking density is improved, and if the number of picking tasks is determined to be greater than the preset number, the next channel of the channel where the picking device is located is determined to be the channel to be picked, so that the picking device avoids passing through repeated picking paths, and is also beneficial to reducing the probability of collision of the picking paths among a plurality of picking devices, thereby comprehensively improving the processing efficiency of the picking tasks.

As shown in fig. 3, the method for processing the picking task further comprises:

step S302, if the number of picking tasks is larger than the preset number, whether the first channel where the picking device is located has a storage position of the article is judged.

In one embodiment of the present disclosure, the preset number of times may be 1.

In step S304, if it is determined that the first channel where the order picking device is located does not have a storage location, the second channel is determined to be the channel to be picked according to the coding sequence of the channels, and the second channel is the channel closest to the first channel.

Step S306, if the second channel is judged to have the storage position, the second channel is determined to be the channel for picking the goods.

In the above embodiment, when it is determined that the number of picking tasks is greater than the preset number, it is further determined whether the first channel where the picking device is located has a storage location for the items, so as to complete the picking task in the first channel, if it is determined that the first channel where the picking device is located does not have a storage location, the second channel is determined to be the channel to be picked according to the coding sequence of the channels, the second channel is the channel closest to the first channel, and if it is determined that the second channel has a storage location, the second channel is determined to be the channel to be picked, so that the picking path is shortened, the time required by the picking task is reduced, and the efficiency of the picking task is improved.

As shown in fig. 4, sorting the items in the bin to the first pick container or the second pick container according to the attribute information of the picking task and the number of items in the order information includes:

in step S402, attribute information of the picking task is determined.

Step S404, determining the picking priority according to the attribute information of the picking task.

Step S406, determining whether the quantity of the articles is less than or equal to the preset quantity of the articles, if so, performing step S408, and if not, performing step S410.

In step S408, if the quantity of the items is less than or equal to the preset quantity of the items, the items are sorted to the second picking container according to the sorting priority.

In step S410, if the quantity of the items is greater than the preset quantity of the items, the items are sorted to a first sorting container according to the sorting priority.

In the above embodiment, by determining the attribute information of the picking tasks and determining the picking priority according to the attribute information of the picking tasks, the delivery speed of orders with high delivery timeliness is increased, specifically, whether the quantity of the items is less than or equal to the preset quantity of the items is judged, if the quantity of the items is judged to be less than or equal to the preset quantity of the items, the items are picked to the second picking container according to the picking priority, and if the quantity of the items is judged to be greater than the preset quantity of the items, the items are picked to the first picking container according to the picking priority, so that not only the items in the same SKU in the same storage position are shunted at the angle of the picking containers, but also the items are picked for each order task according to the picking priority, and the delivery timeliness of the orders is increased.

As shown in fig. 5, determining a picking priority based on the attribute information of the picking order includes:

step S502, determining a first priority according to the quantity of the goods to be picked in the picking task.

In step S504, if it is determined that the number of the items to be picked is equal, a second priority is determined according to the time of the picking task.

And step S506, if the times of the order picking tasks are equal, determining a third priority according to the order receiving time of the order picking tasks.

In the above embodiment, after determining the priority among all the items to be sorted by the first priority, the second priority and the third priority may not be determined any more, if there are items with the same first priority, the second priority is continuously determined, if the second priority can determine the priority among all the items to be sorted, the third priority is not required to be determined, if there are items with the same first priority and second priority, the third priority is continuously determined, if there are items with the same first priority, second priority and third priority, the sorting may be performed in a random manner, or the sorting may be performed according to the volume of the items to be sorted and the remaining volume of the sorting container, for example, for one bay, a small volume of the items is preferentially sorted.

As shown in fig. 6, the method for processing the picking task further comprises:

step S602, determining the difference information between the picked item and the item in the order information according to the picking result of the first picking container and the picking result of the second picking container.

In step S604, the picking stock dump information of the item in the difference information is determined.

In step S606, the order type information included in the order information is determined.

In step S608, an additional picking task is generated according to the picking backlog information and the order type information.

In the above embodiment, the order type information included in the order information is determined by determining the difference information between the picked item and the item in the order information according to the picking result of the first picking container and the picking result of the second picking container, determining the picking overstock information of the item in the difference information, and generating the additional picking task according to the picking overstock information and the order type information, so that the accuracy of the additional picking task is improved, and the efficiency of processing the picking task is improved.

As shown in fig. 7, generating an additional picking task based on the pick-up backlog information and the order type information includes:

step S702, determining the picking backlog amount of various types of order tasks according to the picking backlog information.

Step S704, an additional picking task is generated for the order task according to the magnitude relationship between the difference information and the picking backlog.

In the embodiment, the picking overstock amount of each type of order task is determined through the picking overstock information, and the additional picking task is generated for the order task according to the size relationship between the difference information and the picking overstock amount, so that the accuracy and the timeliness of the additional picking task are improved.

In an exemplary embodiment of the disclosure, two containers respectively corresponding to a single order and a plurality of orders are placed in one picking device, a picker picks and picks all articles to be picked in the whole storage position at one time, the articles are put in the corresponding containers according to page prompt information of a handheld terminal, in the picking process of the picker, no picking type needs to be additionally set, if the containers are full, the containers are immediately subjected to routing processing, and after the routing processing, the next picking task is bound with the corresponding containers.

As shown in fig. 8, a method for processing a picking task according to the present disclosure includes:

step S802, the order is issued to the flow picking and order picking task pool.

And step S804, the picking staff picks the picking equipment at the handheld terminal.

Step S806 is to determine whether the picking apparatus is the first picking task, if so, step S826 is executed, and if not, step S808 is executed.

Step S808, selecting a picking storage location according to the previous picking storage location.

Step S810, merging the items to be picked in the storage positions to generate a picking task.

Step S812, one of the picking tasks of the storage location is obtained and issued to the handheld terminal of the picker.

Step S814, binds the picking order to the picker' S picking receptacle.

And step S816, recording the result of picking the goods off the shelf.

Step S818, checking whether the articles and the quantity are consistent, if yes, executing step S828, and if no, executing step S820.

Step S820, reporting the inventory difference of the sorted storage locations.

Step S822, determining the difference item, and matching the order information according to the number of the difference item.

In step S824, the number of shelves to be dropped of the container is updated.

Step S826, selecting storage locations and/or channels to be picked according to the channel task density.

Step S828, sequentially scanning the number of the picking container, and updating the picking result of the container.

Step S830, automatically get the next picking task.

In step S832, it is determined that the container is full.

In step S834, the full containers are cast.

Step S836, binding the container after the line is cast with the new picking task.

Corresponding to the above method embodiments, as shown in fig. 9, fig. 10, fig. 11, fig. 12, fig. 13 and fig. 14, the present disclosure further provides a shelf descending platform for picking tasks, which can be used for executing the above method embodiments, and the precondition of the present disclosure includes that the picking tasks of the flow picking order and the multiple orders are issued to the picking task pool, and the specific flow is as follows:

step 1: the order picker logs in the hand-held terminal order picking interface and clicks the automatic picking stream order picking task.

As shown in fig. 9, in the corresponding interface of the racking system 900 of one embodiment of the present disclosure, selecting the option of "automatically picking stream picking orders" the system automatically assigns stream picking orders to pickers.

The system distinguishes the types of picking tasks which can be taken by the pickers according to the configured picker authority.

Step 2: and judging whether the picker is the first pick task or not.

(1) If yes, according to the sorting result of the picking task density of all the idle channels (without picking personnel picking the goods), selecting one channel with the highest density as a picking channel, and selecting a storage position with the picking task according to the sequence of the storage position codes from small to large.

(2) If not, selecting the next storage position with the picking task according to the picking storage position on the picking member and the storage position sequence and the channel sequence (firstly judging whether the storage position behind the picking storage position on the current channel is to be picked or not, and if not, judging the next idle channel according to the channel coding sequence).

And step 3: WMS (wireless Management System) server background calculates: and combining all the items to be picked in the selected storage position according to the dimension of the SKU to generate a picking task (namely, the same SKU in the same storage position is positioned by a plurality of orders and combined into a picking task detail). The strategy for determining the picking sequence of the picking tasks in all the picking tasks is as follows:

(1) the picking task with the largest number of articles is preferentially taken.

(2) When the number of the articles is equal, the picking task with the earlier order time is preferentially taken.

(3) When the times of the waves are equal, the picking of the goods with the earlier order receiving time is preferentially taken.

(4) And the goods picker receives the goods picking task of the storage position successfully and enters the next step of delivery process.

And 4, step 4: the picking personnel hold the terminal to jump to a container page bound with a picking task, the system prompts a scanning sequence (a container A is a container close to a handle of the picking equipment, and a container B is a container far away from the handle of the picking equipment), the picking personnel sequentially scans two container codes, and after the available state of the verification container passes, the system records the corresponding relation between the container position and the container code. The system defaults that container A corresponds to multiple orders and container B corresponds to a single order.

As shown in fig. 10, an interface for binding a pick container 1000 in an exemplary embodiment of the present disclosure includes: the "container a", "container B", "number of shelves to be dropped for container a" (to be entered), "number of shelves to be dropped for container B" (to be entered), the handle 1002 of the picking device, "confirm" option, and "cancel" option, but is not limited thereto.

The containers a and the containers B need to be scanned in sequence every time of shelf unloading operation, and if the order of scanning the containers a and the containers B is reversed when the containers are bound and the opposite scanning order is maintained in the picking process, the task types of the containers a and the containers B recorded by the system are inconsistent with the real objects. For example, if the container code of the handle remote from the picking device is scanned at the container a input box, the system records that the container code of the handle 1002 remote from the picking device corresponds to multiple orders but the item actually placed is a single item, and the system records that the container close to the handle of the picking device corresponds to a single order but the item actually placed is an item of multiple orders.

In one embodiment of the disclosure, the recorded inventory of the containers in the system is inconsistent with the actual inventory, if the inconsistent reason is determined to be multiple goods, the multiple goods processing (subsequent operation returning) is carried out when the distribution or the rechecking is introduced, and if the inconsistent reason is determined to be less goods, the difference record is generated and the picking task is added.

And 5: after the container number is bound successfully, the goods to be placed, the storage position number and the number of the goods to be placed are displayed on a handheld terminal interface of a goods picker.

And after the goods picker checks the identity of the interface goods by scanning the bar codes of the goods, counting the number of actual stocks on the storage positions, determining that the number of the actual stocks is greater than the number of the corresponding shelves, and inputting the number of the actual shelves.

As shown in fig. 11, the system checks whether the actual number of pieces is consistent with the number of pieces to be placed, and the corresponding interface of the flow picking lower rack 1102 in one embodiment of the present disclosure includes: "name of article: xxxxxx "," bin coding: 1ac001 "," SKU code: 100100101 "," number of racks to be lowered: 16 pieces, "actual shelf number," "confirmation" option, and "full box" option, but is not limited thereto.

(1) And checking to be consistent, prompting the goods picking personnel to put down the goods by the handheld terminal, taking down the goods from the storage positions by the goods picking personnel, placing the goods in the corresponding containers, scanning the codes of the storage positions, and submitting the results of putting down the storage positions.

As shown in fig. 12, the corresponding interface of the flow picking lower rack 1202 in one embodiment of the present disclosure includes: "name of article: xxxxxx "," bin coding: 1ac001 "," SKU code: 100100101 "," number of racks to be lowered: 16 pieces "," actual lower rack pieces: the number of shelves to be dropped (to be input) for "container a", "the number of shelves to be dropped (to be input) for" container B "," confirm "option, and" full box "option.

(2) And (5) checking inconsistency, and skipping to a goods picking difference page. The order picker inputs the quantity of the small goods or the damaged goods according to the actual situation.

As shown in fig. 13, a corresponding interface of a flow picking pick-up difference report 1302 according to an embodiment of the present disclosure includes: "name of article: xxxxxx "," bin coding: 1ac001 "," SKU code: 100100101 "," number of racks to be lowered: 16 pieces "," actual number of shelves "," number of small-volume products: 2 pieces "," number of broken "(to be entered)," confirm "option, and" full bin "option, but is not limited thereto.

The picker selects the "ok" option to determine the differential amount of items submitted. The WMS system background matches the different items with order types (including single-piece and multi-piece), and the matching rule is as follows:

(a) and judging whether the current order picking backlog pool has an order of the article, and if the order type corresponding to the different article is only one, matching the article with the order type. If the order types corresponding to the different articles are determined to be various, the following steps are carried out.

(b) Respectively calculating the goods picking overstock ratio in the current order production pool: taking a single order as an example, the calculation method is as follows: and the single-piece goods overstock ratio is the goods demand number of all the single-piece orders which are packed and issued by the goods picking overstock/task distribution in the single-piece orders.

(c) Comparing the single-article backlog occupation ratio with the multiple-article backlog occupation ratio, directly matching the articles to the order type with the small backlog occupation ratio if the difference quantity is determined to be the backlog quantity of the type with the small backlog occupation ratio, matching the articles with the backlog quantity equal to the difference quantity to the order type with the small backlog occupation ratio if the difference quantity is determined to be greater than or equal to the backlog quantity of the type with the small backlog occupation ratio, and matching the articles with the backlog quantity exceeding the backlog quantity in the difference quantity to the type with the large backlog occupation ratio.

(d) And after the difference quantity is successfully matched with the order type, generating storage relocation and additional picking tasks according to the selected type. After the production of the additional picking task, the handheld terminal of the picker skips over the pages of the picking lower rack 1102 and recalculates the actual number of lower racks of the two containers based on the difference number.

(e) The goods picker takes down the goods from the storage positions according to the actual number of the goods to be placed in the corresponding container, and submits the goods to be placed on the shelf through scanning the codes of the storage positions.

Step 6: the goods picker automatically receives the remaining goods picking task of the current storage position or receives the next goods picking task close to the storage position.

As shown in fig. 14, a corresponding interface of a flow picking pick shelf 1402 in one embodiment of the present disclosure includes: "name of article: xxxxxx "," bin coding: 1ac001 "," SKU code: 100100101 "," number of racks to be lowered: 16 pieces "," actual number of dropped containers "," number of dropped containers for container a "," number of dropped containers for container B "," confirmation "option, and" full box "option, but are not limited thereto. The number of racks to be set in the "container a" was 8, and the number of racks to be set in the "container B" was 6.

And 7: and (5) repeating the step (5) to the step (6) until one of the picking containers is full of articles, clicking a full box button, selecting one or two containers needing full boxes, and after the full boxes are successful, re-binding the picking tasks and the containers emptied after the delivery.

And 8: after the containers are full, a routing task is sent to a WCS (Warehouse Control System, a Warehouse Control System, a layer of management Control System between the WMS System and the PLC System), a picker routes the full containers, and the WCS conveys the containers to a lead-in sorting station or a rechecking station according to the task types corresponding to the containers.

Corresponding to the above method embodiments, the present disclosure also provides a processing device for picking tasks, which can be used for executing the above method embodiments.

Fig. 15 is a block diagram of a device for processing a pick-up task in an exemplary embodiment of the present disclosure.

Referring to fig. 15, a processing device 1500 for a picking task includes:

a determining module 1502, configured to determine location information of a storage location to which an article belongs in the order information;

a generating module 1504 to merge the location information into a production pick job based on the SKU dimensions of the items in the bin.

The picking module 1506 is used for sorting the items in the storage space to the first picking container or the second picking container according to the attribute information of the picking task and the quantity of the items in the order information.

A transmission module 1508, configured to route the items in the first pick container to an import drop off device, where the import drop off device is capable of dropping off the items for transmission to the review device.

A transport module 1508 for routing items in the second pick container to the review device.

Since the functions of the processing device 1500 for picking tasks are described in detail in the corresponding method embodiments, the disclosure is not repeated herein.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the functionality and features of two or more of the modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present disclosure. Conversely, the functions and functionalities of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

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

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

An electronic device 1600 according to this embodiment of the invention is described below with reference to fig. 16. The electronic device 1600 shown in fig. 16 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.

As shown in fig. 16, electronic device 1600 is in the form of a general purpose computing device. Components of electronic device 1600 may include, but are not limited to: the at least one processing unit 1610, the at least one memory unit 1620, and a bus 1630 that couples various system components including the memory unit 1620 and the processing unit 1610.

Wherein the storage unit stores program codes, which can be executed by the processing unit 1610, so that the processing unit 1610 executes the steps according to various exemplary embodiments of the present invention described in the "exemplary method" described above in this specification. For example, the processing unit 1610 may perform the method as shown in the embodiments of the present disclosure.

The memory unit 1620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)16201 and/or a cache memory unit 16202, and may further include a read only memory unit (ROM) 16203.

The storage unit 1620 may also include a program/utility 16204 having a set (at least one) of program modules 16205, such program modules 16205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1630 may be any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 1600 can also communicate with one or more external devices 1700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1600 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 1650. Moreover, the electronic device 1600 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as an internet) via the network adapter 16160. As shown, the network adapter 16160 communicates with the other modules of the electronic device 1600 via the bus 1630. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with electronic device 1600, including but not limited to: microcode, device drivers, redundant processing units, external magnetic disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the invention described in the "exemplary methods" above in this specification, when the program product is run on the terminal device.

The utility model discloses a processing method of picking task, which has the technical key points as follows:

in the existing stream picking mode, the system provides a picking path by binding a single piece container and multiple pieces of containers on a picking device.

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

The system displays the item distribution data on the handheld terminal.

The picking tasks of two different types of containers are independent of each other, and when the containers reach full boxes, the containers can be put on line at any time to bind new containers.

The system delivers single containers and multiple containers to a review station and a lead-in and separate station, respectively.

The same picker can pick up two different picking tasks.

The program product for implementing the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.

The program product may employ 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 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 (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as 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 readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A method of processing a pick task, comprising:

determining the positioning information of the storage position to which the article belongs in the order information;

merging the positioning information into a production pick task according to the SKU dimension of the items in the storage location;

sorting the articles in the storage space to a first picking container or a second picking container according to the attribute information of the picking task and the quantity of the articles in the order information;

delivering the items in the first pick container to an import distribution device, wherein the import distribution device can distribute and transmit the items to a rechecking device;

routing the items in the second pick container to the review device.

2. The method of handling a pick task of claim 1, further comprising:

determining the times of picking tasks by a picking device, wherein the picking device is used for bearing the first picking container and the second picking container;

judging whether the times are less than or equal to preset times;

and if the number of times of the picking task is judged to be less than or equal to the preset number of times, determining the channel with the highest picking density as the channel to be picked.

3. The method of handling a pick task of claim 2, further comprising:

if the number of times of the picking task is larger than the preset number of times, judging whether a first channel where the picking equipment is located has a storage position of the article;

if the first channel where the goods picking device is located does not have the storage position, determining that a second channel is a channel to be picked according to the coding sequence of the channels, wherein the second channel is the channel closest to the first channel;

and if the second channel is judged to have the storage position, determining that the second channel is a channel to be picked.

4. The method of claim 1, wherein sorting the items in the storage bin into a first pick container or a second pick container according to the attribute information of the picking task and the quantity of the items in the order information comprises:

determining attribute information of the picking task;

determining a picking priority according to the attribute information of the picking task;

judging whether the quantity of the articles is less than or equal to a preset quantity of the articles;

if the item quantity is judged to be less than or equal to the preset item quantity, the items are picked to the second picking container according to the picking priority;

if the quantity of the items is larger than the preset quantity of the items, the items are picked to the first picking container according to the picking priority.

5. The method of processing a pick task of claim 4, wherein determining a picking priority based on attribute information of the pick task comprises:

determining a first priority according to the quantity of the goods to be picked in the picking task;

if the quantity of the goods to be picked is determined to be equal, determining a second priority according to the time of the picking task;

and if the times of the order picking tasks are equal, determining a third priority according to the order receiving time of the order picking tasks.

6. The method of handling a pick task of claim 1, further comprising:

determining difference information between the picked items and the items in the order information according to the picking result of the first picking container and the picking result of the second picking container;

determining picking overstock information of the items in the difference information;

determining order type information included in the order information;

and generating an additional picking task according to the picking overstock information and the order type information.

7. The method of claim 6, wherein generating an additional picking task based on the picking backlog information and the order type information comprises:

determining the picking overstock amount of various types of order tasks according to the picking overstock information;

and generating the additional picking task for the order task according to the size relationship between the difference information and the picking overstock quantity.

8. A device for processing a pick task, comprising:

the determining module is used for determining the positioning information of the storage position to which the article belongs in the order information;

a generation module for merging the location information into a production pick task according to the SKU dimensions of the items in the storage space;

the order picking module is used for sorting the articles in the storage position to a first order picking container or a second order picking container according to the attribute information of the order picking task and the quantity of the articles in the order information;

the conveying module is used for throwing the items in the first picking container to an introduction and distribution device, and the introduction and distribution device can distribute and convey the items to a rechecking device;

the transmission module is also used for delivering the articles in the second picking container to the rechecking equipment.

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of processing a picking task according to any one of claims 1-7.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform a method of processing a pick task as claimed in any one of claims 1-7 via execution of the executable instructions.