CN116485080A

CN116485080A - Goods picking method and device

Info

Publication number: CN116485080A
Application number: CN202210010337.5A
Authority: CN
Inventors: 吴问才
Original assignee: Beijing Jizhijia Technology Co Ltd
Current assignee: Beijing Jizhijia Technology Co Ltd
Priority date: 2022-01-06
Filing date: 2022-01-06
Publication date: 2023-07-25
Also published as: WO2023131187A1

Abstract

The specification discloses a method and a device for picking goods, which determine a picking task according to a received order. And then determining a splitting strategy and a sequencing strategy according to the attribute and the quantity of each cargo contained in the picking task. And then splitting the picking task according to the determined splitting strategy to obtain each sub picking task. And sequencing the obtained sub picking tasks according to the determined sequencing strategy. According to the sorting, each sub-picking task is dispatched, and the goods contained in each sub-picking task are picked. The order picking tasks corresponding to the orders are split according to the demands of the sender of the orders to obtain all sub-order picking tasks, and the sub-order picking tasks are ordered according to the demands of the sender, so that the demands of the sender can be realized when the order picking tasks are sequentially carried out finally.

Description

Goods picking method and device

Technical Field

The application relates to the technical field of warehouse management, in particular to a method and a device for picking goods.

Background

At present, with the development of warehouse management technology, order goods picking technology is also continuously advancing. Typically, after receiving an order, the warehouse will generate a corresponding pick task based on the received order. The pick tasks are then dispatched to the pick workstations for pick.

In the prior art, when the goods quantity contained in the picking task is large, the picking task is split into a plurality of sub-picking tasks according to a preset splitting threshold, and then each sub-picking task is distributed to each picking workstation for picking. After the goods are picked, the goods are packed and sent to a receiver of the goods according to the order.

However, existing pick methods do not take into account some practical requirements. After receiving the goods sent by the warehouse, the receiver of the goods also needs to be classified and arranged according to the types of the goods.

Disclosure of Invention

The embodiment of the specification provides a method and a device for picking goods, which are used for at least partially solving the problems in the prior art.

The technical scheme adopted in the specification is as follows:

the present specification provides a method of picking a good, comprising:

determining a picking task according to the received order;

determining a splitting strategy and a sorting strategy according to the attribute of each cargo and the quantity of each cargo contained in the picking task;

splitting the picking tasks according to the splitting strategy, and respectively determining all sub picking tasks;

sorting the sub-picking tasks according to the goods contained in the sub-picking tasks and the sorting strategy;

And distributing the sub-picking tasks according to the ordering of the sub-picking tasks so as to pick the goods contained in each sub-picking task and package the goods contained in each sub-picking task.

Optionally, determining the splitting policy and the sorting policy according to the attribute of each cargo and the number of each cargo included in the picking task specifically includes:

determining a stored merging rule and a stored sorting rule of a sender according to the identification of the sender of the received order;

and determining a splitting strategy and a sorting strategy according to the attribute of each cargo, the quantity of each cargo, the merging rule and the sorting rule contained in the picking task.

Optionally, the order is an order of the goods required by the corresponding production flow;

determining a splitting strategy and a sorting strategy according to the attribute of each cargo and the quantity of each cargo contained in the picking task, wherein the splitting strategy and the sorting strategy specifically comprise the following steps:

determining a splitting strategy according to the goods identification of the goods required by each step in the production flow, the attribute of each goods contained in the goods picking task and the quantity of each goods;

and determining a sequencing strategy according to the sequence of each step in the production flow.

Optionally, the order is an order corresponding to the finished goods;

determining the type of each cargo according to the attribute of each cargo contained in the cargo picking task;

determining a splitting strategy according to a preset matching rule of the type of goods and the number of the type of goods in the picking task for each type of goods, wherein the matching rule is determined according to historical sales information of the type of goods;

and determining a sorting strategy according to the stock quantity of various types of goods contained in the picking task.

Optionally, splitting the picking task according to the splitting policy, and determining each sub-picking task respectively, which specifically includes:

splitting the picking task according to the goods identification of each goods contained in the picking task, and determining each picking unit;

and merging the picking units according to the picking units and the splitting strategy, and respectively determining the sub picking tasks.

Optionally, the method further comprises:

and packaging the cargoes contained in each sub picking task respectively.

Optionally, determining the picking task according to the received order specifically includes:

and determining a picking task for picking the goods contained in each order according to the received orders.

Optionally, for each type of goods, determining a splitting policy according to a preset matching rule of the type of goods and the number of the type of goods in the picking task, where the matching rule is determined according to historical sales information of the type of goods, and specifically includes:

and determining a splitting strategy according to a preset matching rule of the type of goods corresponding to the sender of each order contained in the picking task and the quantity of the type of goods in each order, wherein the matching rule is determined according to the historical sales information of the type of goods of the sender of each order.

Optionally, packaging the goods contained in each sub-picking task respectively, which specifically includes:

and for each sub-picking task, respectively packaging different orders corresponding to the sub-picking tasks according to the orders corresponding to the goods contained in the sub-picking tasks.

The present specification provides a pick device comprising:

the receiving module is used for determining a picking task according to the received order;

The determining module is used for determining a splitting strategy and a sorting strategy according to the attribute of each cargo and the quantity of each cargo contained in the picking task;

the splitting module is used for splitting the picking tasks according to the splitting strategy and respectively determining all sub picking tasks;

the sorting module is used for sorting the sub-picking tasks according to the goods contained in the sub-picking tasks and the sorting strategy;

and the picking module is used for distributing the sub-picking tasks according to the sorting of the sub-picking tasks so as to pick the goods contained in each sub-picking task.

The present specification provides a computer readable storage medium storing a computer program which when executed by a processor implements the above-described pick method.

The present specification provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above-described method of picking items when executing the program.

The above-mentioned at least one technical scheme that this specification adopted can reach following beneficial effect:

in the order picking method provided in the specification, firstly, a order picking task is determined according to a received order. And then determining a splitting strategy and a sequencing strategy according to the attribute and the quantity of each cargo contained in the picking task. And then splitting the picking task according to the determined splitting strategy to obtain each sub picking task. And sequencing the obtained sub picking tasks according to the determined sequencing strategy. According to the sorting, each sub-picking task is dispatched, and the goods contained in each sub-picking task are picked. The order picking tasks corresponding to the orders are split according to the demands of the sender of the orders to obtain all sub-order picking tasks, and the sub-order picking tasks are ordered according to the demands of the sender, so that the demands of the sender can be realized when the order picking tasks are sequentially carried out finally. Different splitting strategies and sorting strategies can be determined for different cargoes and the split sub-picking tasks are sequentially picked according to sorting, so that the subsequent processing efficiency of the cargoes is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

FIG. 1 is a schematic flow chart of a method for picking goods provided in the present specification;

FIG. 2 is a schematic view of a sort task splitting diagram provided herein;

FIG. 3 is a schematic view of a pick device provided herein;

fig. 4 is a schematic diagram of an electronic device for implementing the picking method provided in the present specification.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the present specification more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present specification and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the disclosure, are intended to be within the scope of the present application based on the embodiments described herein.

At present, after receiving orders, the warehouse processes the order batch in order to increase the processing efficiency of the orders, for example, combining multiple orders into one wave and generating corresponding order picking tasks, because different orders may contain the same commodity.

In actually processing the picking task, the warehouse may split the picking task according to the goods identifier in each order, such as a stock unit (Stock Keeping Unit, SKU), that is, the goods corresponding to each goods identifier in each order is taken as a sub-picking task. Of course, if the number of cargoes corresponding to the cargo identification is large, the sub-picking task corresponding to the cargo identification can be further split according to the preset number threshold.

The warehouse then distributes the sub-picking tasks to the picking workstations and dispatches the automated handling equipment to pick the goods corresponding to the sub-picking tasks. And finally, packaging the goods according to the order and sending the packaged goods to a receiver of the goods.

However, there are often some practical demands on the receiving side. For example, in the case of a business that is in the footwear industry, such business typically requires the same type (e.g., male, female) of goods of the same color to be consolidated and packaged. And the warehouse only packs and sends the goods to the merchant according to the order, so that the merchant also needs to sort and arrange the goods according to the type and the color after receiving the goods, and the working efficiency of the merchant is reduced.

For another example, a merchant in the manufacturing industry may need to process raw materials, semi-finished products or parts corresponding to the required goods according to a certain production process. For example, when the cargo is a door, the warehouse side needs to process and assemble the raw materials, semi-finished products or parts of the door according to the production flow of the door. The warehouse is used for sorting the raw materials, semi-finished products or parts of the vehicle door, and then sending the raw materials, semi-finished products or parts to a production line according to orders, and before the production line is produced, sorting the raw materials, semi-finished products or parts of the vehicle door according to sequential steps of a production flow is needed, so that the treatment efficiency is reduced.

The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of a picking method in the present specification, specifically including the following steps:

s100: and determining the picking task according to the received order.

In general, when a warehouse performs a picking operation, a server of a warehouse service platform may determine a picking task according to a received order, so as to determine a good to be picked in the picking operation. The order picking task can be followed for order picking.

In particular, in one or more embodiments of the present description, a server of the business platform may determine a pick task based on the received order.

The server of the service platform can determine the picking task corresponding to the order according to the received order. The pick task includes information required to pick the goods within the order. The specification does not limit the specific content contained in the picking task.

The server mentioned in the present specification may refer to a server provided in a service platform, or a device such as a desktop, a notebook, or the like capable of executing the aspects of the present specification. The recipient may be a merchant store or the like. For convenience of explanation, only the server is used as the execution subject.

S102: and determining a splitting strategy and a sequencing strategy according to the attribute of each cargo and the quantity of each cargo contained in the picking task.

After determining the picking task, in one or more embodiments of the present disclosure, the server may determine the splitting policy and the sorting policy according to the attribute of each cargo and the number of each cargo included in the picking task, so that the picking task may be split and sorted based on the determined splitting policy and sorting policy.

Specifically, the server may determine, according to the identifier of the sender of the received order, a stored merge rule and an order rule of the sender, and determine, according to the attribute of each item, the number of each item, the merge rule and the order rule included in the order picking task, a split policy and an order policy. That is, when the sender of the order places the order, the merging rule and the sorting rule corresponding to the order containing the goods may also be provided, so that the server can determine the merging rule and the sorting rule provided by the sender according to the identifier of the sender carried by the order, so as to determine the splitting policy and the sorting policy.

Wherein typically the sender of the order is the same as the receiver of the goods. The identity of the sender of the order may be determined as desired, and this is not limiting in this specification. The merge rule and the sort rule may be determined by the sender as needed. For example, the merge rule is determined according to what goods are to be merged and packed, or the sort rule is determined according to the production flow. The specification does not limit the specific content of the merge rule and the sort rule. The property of the cargo may be the kind or size of the cargo, etc.

For example, assuming that the order includes goods required by the production process, the server may determine, according to the identifier of the sender of the order, that the merge rule merges the goods in the same production step, where the number of merges is a positive integer multiple of the number required by the step, and the sort rule sorts the goods in the order of the steps. Further assume that the attributes of each item in the order and the quantity of each item are: door frame 100 parts, large screw 400 parts, small screw 200 parts, handle 100 parts and glass 100 parts. In the production steps, the first step is that 1 car door frame, 4 large-size screws and 1 glass are combined, and the second step is that 1 handle and 2 small-size screws are combined and then are installed on 1 car door frame, then the server can determine that the combination strategy is: door frame 100, large size screw 400 and glass 100 are combined and picked, small size screw 200 and handle 100 are combined and picked. The ordering strategy is: firstly, a door frame, large screws and glass of the vehicle are selected, and then small screws and handles are selected.

Of course, the server may determine the splitting policy and the ordering policy according to other information in addition to determining the splitting policy and the ordering policy according to the merging rule and the ordering rule provided by the sender of the order.

Specifically, in one or more embodiments of the present disclosure, when the order received by the server is an order corresponding to a product required by a production process, the server may determine a splitting policy according to a product identifier of the product required by each step in the production process, an attribute of each product included in the picking task, and a number of each product, and determine a sorting policy according to a sequence of each step in the production process. The goods identifier can be SKU of the goods, and the goods required by the production process can comprise raw materials, semi-finished products or parts.

For example, when the order received by the server is an order of goods required by the corresponding vehicle door production process, the server may determine the number of goods required by each category in each step according to SKUs of goods required by each step in the vehicle door production process, attributes of each goods included in the picking task, and the number of goods, which are taken as the splitting policy. And determining a sequencing strategy according to goods required by each step in the vehicle door production process.

In addition, in one or more embodiments of the present disclosure, when the order received by the server is an order corresponding to a finished product of goods, the server may determine a type of each of the goods according to an attribute of each of the goods included in the picking task.

For each type of goods, determining a splitting strategy according to a preset matching rule of the type of goods and the number of the type of goods in the picking task, and determining a sorting strategy according to the stock quantity of each type of goods contained in the picking task. Wherein the server may determine the matching rules based on historical sales information for the type of good.

For example, when the order received by the server is an order corresponding to clothing goods, the server may determine the type of each good according to the attribute of each good included in the picking task. Such as male, female, etc.

For the male goods, the server can determine that the matching rules are that the male goods are white according to the history sales information and the matched sales amount of the white clothes is good, and further determine that the male goods are combined and selected. Of course, the picking efficiency of a good is inversely related to the number of goods. Therefore, the goods corresponding to the white of the male pattern with the preset number can be determined to be combined and selected according to the number of the goods. The same process for female money can be determined and will not be described in detail here. And then the server can firstly select the goods with more stock according to the stock quantity of the goods corresponding to the male money and the female money, and further determine the ordering strategy.

S104: and splitting the picking tasks according to the splitting strategy, and respectively determining all sub picking tasks.

After the splitting strategy is determined, the server can split the picking tasks, determine each sub-picking task respectively, and then pick according to the sub-picking tasks.

Specifically, in one or more embodiments of the present disclosure, the server may first split the picking task according to the goods identifier of each good included in the picking task, and determine each picking unit.

The goods identifier may be SKUs of the goods, and at this time, the server may determine, according to SKUs of the goods included in the picking task, picking of the goods as a picking unit for the goods corresponding to each SKU. As shown in fig. 2.

Fig. 2 is a schematic view of sorting task splitting provided in the present specification. In FIG. 2, an example of a pick task is given, and for ease of illustration, only SKU and quantity information is given in a table representing pick tasks. The arrow under the order picking task represents a split action, and the server can split the order picking task into three order picking units under the arrow according to three SKUs contained in the order picking task.

After determining the pick units, the server may combine the pick units according to the pick units and the splitting policy determined in step S102 to determine the sub-pick tasks respectively.

The merging of the picking units according to the splitting policy may be understood as that after the picking tasks are split according to the goods identifier, the splitting is finer, and the obtained picking units are more, so that in order to meet the requirement of the sender of the order, certain merging (for example, merging the picking units corresponding to the same-type and same-color goods) may be performed on the picking units according to the splitting policy, so as to obtain each sub picking task meeting the requirement.

For example, taking an order received by the server as an order corresponding to a finished product of goods, assume that the goods are goods of the shoe industry type, and the properties corresponding to the goods include color, size (e.g., S code, M code) and the like, and the types include male and female types. After the picking task is split, different types of goods with different colors and different sizes correspond to different picking units because the SKUs of the goods with different colors and different sizes are different. Taking the above examples of types, colors, and sizes as examples, 8 pick units may be determined.

Continuing to assume that the split policy determined in step S102 is to merge and pick the same type of cargo with the same color. In the above assumption, the pick units corresponding to the same type, same color and different sizes of goods need to be combined, that is, taking the above examples of types, colors and sizes as examples, the server may determine that 4 sub pick tasks of the goods need to be combined, including male black, male white, female black and female white.

For another example, taking an order received by the server as an order of goods required by a corresponding production process, assuming that the goods are vehicle doors, the vehicle door production process includes a plurality of steps, and after the server splits the picking task, different goods required by different steps correspond to different picking units. At this time, the server may combine the number of goods required for each category in each step into a sub pick task according to the splitting policy determined in step S102.

S106: and sorting the sub-picking tasks according to the goods contained in the sub-picking tasks and the sorting strategy.

After determining the sub-picking tasks, the server may further sort the sub-picking tasks according to the sorting policy determined in step S102. So that the goods are subsequently picked in the order of picking as desired.

Specifically, in one or more embodiments of the present disclosure, when the order received by the server is an order corresponding to a finished good, the server may sort the sub-pickles according to the type of goods included in the sub-pickles and the sorting policy.

For example, continuing with the clothing item example in step S104, assume that the ordering policy determined in step S102 is for types of pick-female-then-pick-male. The sorting of the 4 pick tasks determined in step S104 may be female white, female black, male white, male black.

In addition, in one or more embodiments of the present disclosure, when the order received by the server is an order for goods required for a production process, the server may sort the sub-pick tasks according to the order in which the sub-pick tasks include the goods and the sort policy.

For example, continuing with the example of the door in step S104, the sub-pick tasks may be ordered according to the ordering policy with the goods included in the sub-pick tasks. If the first step is to fix the door frame, for example, the sub-picking task corresponding to the door frame may be ranked first.

S108: and distributing the sub-picking tasks according to the ordering of the sub-picking tasks so as to pick the goods contained in each sub-picking task.

After the sorting of the sub-picking tasks is obtained, the server can sort cargoes according to the sorting of the sub-picking tasks.

Specifically, in one or more embodiments of the present disclosure, the server may dispatch the sub-pickles according to the ordering of the sub-pickles to pick the goods contained by each sub-pickles.

The server can dispatch the sub-picking tasks to automatic conveying equipment such as an unmanned carrier, a belt conveyor and the like. The present description is not limited to what kind of automatic handling equipment is specifically employed. The sub-picking tasks may also be dispatched to the personnel, and the present description does not limit what way to pick. That is, the server may schedule the automatic handling device to pick the goods included in each sub-picking task according to the order of the sub-picking tasks, or the server may send each sub-picking task to the staff responsible for picking the goods, and pick the goods included in each sub-picking task manually.

Because the step S104 has merged the goods to be merged into one sub-picking task according to the splitting policy, and the sorting of the sub-picking tasks is performed in step S106, the server may dispatch the sub-picking tasks according to the sorting to sort the goods contained in each sub-picking task.

Of course, for the case that the order received by the server is the order corresponding to the finished goods, the server can also package the goods contained in each sub-picking task respectively so as to meet the actual requirements of the goods receiver. When packing goods contained in each sub-picking task, the server can dispatch the robot to pack the goods contained in each sub-picking task respectively, or can dispatch each packing task to staff responsible for packing respectively, and the goods contained in each sub-picking task are packed respectively through manpower.

For the situation that the order received by the server is the order of the goods required by the corresponding production flow, the server can also send the goods obtained by the goods picking of each sub-goods picking task to a production line for production treatment according to the ordering of the goods picking tasks of each sub-goods picking task.

Based on the pick method shown in FIG. 1, a pick job is first determined based on the received order. And then determining a splitting strategy and a sequencing strategy according to the attribute and the quantity of each cargo contained in the picking task. And then splitting the picking task according to the determined splitting strategy to obtain each sub picking task. And sequencing the obtained sub picking tasks according to the determined sequencing strategy. According to the sorting, each sub-picking task is dispatched, and the goods contained in each sub-picking task are picked. The sub picking tasks are obtained by splitting the picking tasks corresponding to the orders according to the demands of the sender of the orders, and are ordered according to the demands of the sender, so that the demands of the sender can be realized when the picking is sequentially carried out based on the sub picking tasks. Different splitting strategies and sorting strategies can be determined for different cargoes and the split sub-picking tasks are sequentially picked according to sorting, so that the subsequent processing efficiency of the cargoes is improved.

In one or more embodiments of the present disclosure, in step S102, the server may determine, according to the identifier of the sender of the received order, a stored merge rule and a stored sort rule of the sender, and determine, according to the attribute of each item, the number of each item, the merge rule and the sort rule included in the order picking task, a split policy and a sort policy.

For example, when the order received by the server is an order corresponding to clothing goods, the order includes 100 pieces of male white top-up clothes, 70 pieces of male white bottom-up clothes, 50 pieces of male black top-up clothes, and 40 pieces of male black bottom-up clothes. And assuming that the determined merging rule is the same-money same-color merging, and the sorting rule is to preferentially sort cargoes with more orders. For the number of goods, the maximum packing number is set to 50. The determined split policy is 50 pieces white by 3, 20 pieces white, 50 pieces black, 40 pieces black. The determined ordering strategy is to select white goods of the male type first and then select black goods of the male type.

In addition, in one or more embodiments of the present disclosure, in step S100, when the server receives a plurality of orders with higher similarity (for example, a plurality of orders of the same brand of clothing by a plurality of merchants), the server may further determine, according to the received plurality of orders, a picking task for picking the goods included in each order. At this point, the pick job contains information required to pick the items within the plurality of orders.

Further, in one or more embodiments of the present disclosure, for the order received by the server is an order corresponding to a finished product of goods, in step S102, when determining, for each type of goods, the splitting policy according to a preset matching rule of the type of goods and the number of the type of goods in the picking task, the server may further determine, for each type of goods, the splitting policy according to a preset matching rule of the type of goods corresponding to the sender of each order included in the picking task and the number of the type of goods in each order. Wherein the matching rules are determined based on historical sales information for the type of goods at the sender of each order.

For example, the server receives an order for merchant A clothing items and an order for merchant B clothing items. Taking the type of the male pattern as an example, the male pattern is assumed to have only two colors of black and white, wherein the matching rule corresponding to the merchant A is that the same type of color is matched with each other, the number of the black goods of the type in the picking task is 30, and the number of the white goods is 20. And the matching rules corresponding to the merchant B are that the types are matched with each other, and the number of the types of goods in the picking task is 50. The server may determine that the split policy is 30 pieces for male black, 20 pieces for male white, and 70 pieces for male.

Further, in one or more embodiments of the present disclosure, corresponding to the above case, in step S108, when the server packages the goods included in each sub-picking task, the server may further package, for each sub-picking task, different orders corresponding to the sub-picking task according to the order corresponding to the goods included in the sub-picking task. That is, each sub-picking task determined by the determined splitting policy includes goods of different orders, and each order is a different order corresponding to the sub-picking task. During packaging, cargoes contained in the sub picking tasks can be packaged according to each order.

For example, suppose a child pick task includes a male white 60, where 30 items of clothing correspond to the order of merchant A and the other 30 items of clothing correspond to the order of merchant B. Then at the time of packaging, it is necessary to package 30 male white garments of business a and to additionally package 30 male white garments of business B.

In addition, in one or more embodiments of the present disclosure, when the order received by the server is an order of a good required by a corresponding production process, the server packages the good included in each sub-picking task, and may package the good included in different sub-picking tasks corresponding to different steps, and send the package to a receiver of the good. The server can also send the cargoes to the production line according to the picking order instead of respectively packing the cargoes contained in each sub picking task, and process the cargoes according to the technological process.

The methods provided above for one or more embodiments of the present disclosure also provide, based on the same considerations, a corresponding pick device, as shown in fig. 3.

Fig. 3 is a schematic view of a picking device provided in the present specification, including:

a receiving module 300, configured to determine a picking task according to the received order;

a determining module 302, configured to determine a splitting policy and a sorting policy according to the attribute of each item and the number of each item included in the picking task;

the splitting module 304 is configured to split the picking tasks according to the splitting policy, and determine each sub-picking task respectively;

the sorting module 306 is configured to sort the sub-picking tasks according to the goods included in the sub-picking tasks and the sorting policy;

and a picking module 308, configured to dispatch each sub-picking task according to the order of each sub-picking task, so as to pick the goods contained in each sub-picking task.

Optionally, the determining module 302 determines, according to the identifier of the sender of the received order, a stored merge rule and a stored sort rule of the sender, and determines, according to the attribute of each item, the number of each item, the merge rule and the sort rule included in the picking task, a split policy and a sort policy.

Optionally, the order is an order for the goods required for the corresponding production flow.

The determining module 302 determines a splitting policy according to the goods identifier of the goods required by each step in the production flow, the attribute of each good included in the picking task, and the number of each good, and determines a sorting policy according to the sequence of each step in the production flow.

Optionally, the order is an order for the corresponding finished goods.

The determining module 302 determines the type of each cargo according to the attribute of each cargo contained in the picking task, determines the splitting policy according to a preset matching rule of the type of cargo and the number of the type of cargo in the picking task for each type of cargo, the matching rule is determined according to the historical sales information of the type of cargo, and determines the sorting policy according to the stock quantity of each type of cargo contained in the picking task.

Optionally, the splitting module 304 splits the picking task according to the goods identifier of each good included in the picking task, determines each picking unit, merges each picking unit according to each picking unit and the splitting policy, and determines each sub-picking task respectively.

Optionally, the picking module 308 packages the goods included in each sub-picking task.

Optionally, the receiving module 300 determines, according to the received multiple orders, a picking task for picking the goods included in each order.

Optionally, the determining module 302 determines, for each type of goods, a splitting policy according to a preset matching rule of the type of goods corresponding to the sender of each order included in the picking task and the number of the type of goods in each order, where the matching rule is determined according to historical sales information of the type of goods of the sender of each order.

Optionally, the picking module 308 packages, for each sub-picking task, different orders corresponding to the sub-picking task according to the order corresponding to the goods included in the sub-picking task.

The present specification also provides a computer readable storage medium having stored thereon a computer program operable to perform the pick method provided in fig. 1 above.

The present specification also provides a schematic structural diagram of the electronic device shown in fig. 4. At the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile storage, as described in fig. 4, although other hardware required by other services may be included. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs to implement the pick method described above with respect to fig. 1.

Of course, other implementations, such as a logic device or a combination of hardware and software, are not excluded from the present description, that is, the execution subject of the following processing procedure is not limited to each logic unit, but may be hardware or a logic device.

In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present specification.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

The foregoing is merely exemplary of the present disclosure and is not intended to limit the disclosure. Various modifications and alterations to this specification will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present description, are intended to be included within the scope of the claims of the present description.

Claims

1. A method of picking items, comprising:

determining a picking task according to the received order;

And distributing the sub-picking tasks according to the ordering of the sub-picking tasks so as to pick the goods contained in each sub-picking task.

2. The method of claim 1, wherein determining the split policy and the sort policy based on the attribute of each item and the number of each item included in the pick task, comprises:

3. The method of claim 1, wherein the order is an order for the goods required for the corresponding production process;

4. The method of claim 1, wherein the order is an order for a corresponding finished good;

5. The method of claim 1, wherein splitting the picking task according to the splitting policy, and determining each sub-picking task separately comprises:

6. The method of claim 4, wherein the method further comprises:

and packaging the cargoes contained in each sub picking task respectively.

7. The method of claim 6, wherein determining a pick task based on the received order, comprises:

8. The method of claim 7, wherein for each type of goods, determining a splitting policy according to a preset matching rule of the type of goods and the number of the type of goods in the picking task, wherein the matching rule is determined according to historical sales information of the type of goods, and specifically comprises:

9. The method of claim 8, wherein the packaging of the goods included in each sub-picking task comprises:

10. A pick device, comprising:

11. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-9.

12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any of the preceding claims 1-9 when executing the program.