WO2023241030A1

WO2023241030A1 - Picking task execution method and apparatus, electronic device and computer readable medium

Info

Publication number: WO2023241030A1
Application number: PCT/CN2023/070932
Authority: WO
Inventors: 黄占辉
Original assignee: 北京京东振世信息技术有限公司
Priority date: 2022-06-16
Filing date: 2023-01-06
Publication date: 2023-12-21
Also published as: CN115222322A

Abstract

Disclosed in embodiments of the present disclosure are a picking task execution method and apparatus, an electronic device and a computer readable medium. A specific implementation of the method comprises: determining the number of orders of an order set for a target order article and inventory information of the target order article; according to the number of orders and the inventory information, determining article storage warehouse information corresponding to each order in the order set to obtain an article storage warehouse information set; generating at least one order subset according to the article storage warehouse information set and the order set; generating a picking task list information set corresponding to each order subset in the at least one order subset to obtain a plurality of picking task list information sets; and controlling the picking apparatus to execute a plurality of picking task sets corresponding to the plurality of picking task list information sets.

Description

Picking task execution method, device, electronic equipment and computer-readable medium

Cross-references to related applications

This application requires the priority of the Chinese patent application submitted on June 16, 2022, with the application number 202210680946.1 and the invention name "picking task execution method, device, electronic device and computer-readable medium", which The entire contents are incorporated into this application as a whole.

Technical field

Embodiments of the present disclosure relate to the field of smart logistics, and specifically relate to picking task execution methods, devices, electronic devices and computer-readable media.

Background technique

Currently, in order to facilitate warehouse management, the area set up in the picking area is often small. As a result, the inventory in the picking area is relatively small, and most goods are stored in the storage area. However, current orders are mostly single item orders. For obtaining items for a single item order, the usual method is to pick items from the zero picking area to obtain the order items involved in the single item order. When the quantity of goods in the picking area is insufficient, it needs to be replenished from the storage area.

Contents of the invention

This Summary is provided to introduce in simplified form concepts that are later described in detail in the Detailed Description. The content of this disclosure is not intended to identify key features or essential features of the claimed technical solutions, nor is it intended to be used to limit the scope of the claimed technical solutions.

Some embodiments of the present disclosure provide picking task execution methods, devices, electronic devices, and computer-readable media to solve the technical problems mentioned in the background art section above.

In a first aspect, some embodiments of the present disclosure provide a picking task execution method, including: determining the order number of an order set for a target order item and the inventory information of the target order item; and based on the order number and the inventory information , determine the item storage warehouse information corresponding to each order in the above-mentioned order set, and obtain the item storage warehouse information set; generate at least one order subset based on the above-mentioned item storage warehouse information set and the above-mentioned order set; generate the item storage warehouse information corresponding to each order in the above-mentioned at least one order subset. Multiple picking task order information sets corresponding to each order subset are obtained, and the picking device is controlled to execute multiple picking task sets corresponding to the multiple picking task order information sets.

In a second aspect, some embodiments of the present disclosure provide a picking task execution device, including: a first determination unit configured to determine the order number of an order set for a target order item and the inventory information of the target order item; The second determination unit is configured to determine the item storage warehouse information corresponding to each order in the order set based on the above-mentioned order number and the above-mentioned inventory information, and obtain the item storage warehouse information set; the first generation unit is configured to determine the item storage warehouse information based on the above-mentioned item storage information. The warehouse information set and the above-mentioned order set generate at least one order subset; the second generation unit is configured to generate a picking task order information set corresponding to each order subset in the above-mentioned at least one order subset, and obtain multiple picking orders. A task order information set; a control unit configured to control the picking device to execute multiple picking task sets corresponding to the above multiple picking task order information sets.

In a third aspect, some embodiments of the present disclosure provide an electronic device, including: at least one processor; a storage device on which at least one program is stored, and when the at least one program is executed by at least one processor, at least one process The device implements the method described in any implementation manner in the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner in the first aspect is implemented.

Description of the drawings

The above and other features, advantages, and aspects of various embodiments of the present disclosure will become more apparent with reference to the following detailed description taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

Figure 1 is a schematic diagram of an application scenario of a picking task execution method according to some embodiments of the present disclosure;

Figure 2 is a flow chart of some embodiments of a picking task execution method according to the present disclosure;

Figure 3 is a schematic diagram of the order pool storage situation in some embodiments of the picking task execution method according to the present disclosure;

Figure 4 is a flow chart of other embodiments of a picking task execution method according to the present disclosure;

Figure 5 is a schematic structural diagram of some embodiments of a picking task execution device according to the present disclosure;

Figure 6 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of the present disclosure.

It should also be noted that, for convenience of description, only the parts related to the invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that concepts such as “first” and “second” mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units. Or interdependence.

It should be noted that the modifications of "one" and "plurality" mentioned in this disclosure are illustrative and not restrictive. Those skilled in the art will understand that unless the context clearly indicates otherwise, it should be understood as "at least one". ".

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are for illustrative purposes only and are not used to limit the scope of these messages or information.

Related picking task execution methods, for example, picking from the zero picking area to obtain order items involved in a single item order. When the quantity of goods in the zero-picking area is not enough, the following technical problems often arise when replenishing goods from the entire storage area: When the circulation volume of items is large, due to the small inventory in the zero-picking area, frequent replenishment will occur. The condition of the goods greatly affects the efficiency of order items leaving the warehouse and wastes labor costs.

In order to solve the above-mentioned problems, some embodiments of the present disclosure propose picking task execution methods and devices, which can efficiently complete each picking task, greatly improve the efficiency of order items leaving the warehouse, and save labor costs.

The present disclosure will be described in detail below in conjunction with embodiments with reference to the accompanying drawings.

Figure 1 is a schematic diagram of an application scenario of a picking task execution method according to some embodiments of the present disclosure.

In the application scenario of FIG. 1 , first, the electronic device 101 can determine the order number 104 of the order set 103 for the target order item 102 and the inventory information 105 of the target order item 102 . In this application scenario, the target order item 102 may be "bicycle". The inventory information 105 may be "inventory quantity: 100 units, inventory location: area A". Order set 103 may include: order 1031, order 1032, order 1033, and order 1034. The above order number 104 may be "4". Then, the electronic device 101 can determine the item storage warehouse information corresponding to each order in the order set 103 based on the order number 104 and the inventory information 105, and obtain the item storage warehouse information set 106. In this application scenario, the item storage warehouse information set 106 includes: item storage warehouse information 1061 corresponding to the order 1031, item storage warehouse information 1062 corresponding to the order 1032, item storage warehouse information 1063 corresponding to the order 1033, The item storage warehouse information 1064 corresponding to the order 1034 is stored. The above-mentioned item storage warehouse information 1061 may be "A warehouse". The above-mentioned item storage warehouse information 1062 may be "B warehouse". The above-mentioned item storage warehouse information 1063 may be "C warehouse". The above-mentioned item storage warehouse information 1064 may be "D warehouse". Next, the electronic device 101 can generate at least one order subset 107 based on the item storage warehouse information set 106 and the order set 103 . In this application scenario, at least one order subset 107 may include: order subset 1071 and order subset 1072 . The above order subset 1071 may include: orders 1031 and orders 1034. The above order subset 1072 may include: orders 1032 and orders 1033. Furthermore, the electronic device 101 can generate a picking task order information set corresponding to each order subset in the above-mentioned at least one order subset 107, to obtain multiple picking task order information sets. In this application scenario, the multiple picking task order information sets include: a picking task order information set 108 corresponding to the order subset 1071 and a picking task order information set 109 corresponding to the order subset 1072. The above-mentioned picking task order information set 108 includes: picking task order information 1081 and picking task order information 1082 . The above-mentioned picking task order information set 109 includes: picking task order information 1091 and picking task order information 1092 . Finally, the electronic device 101 can control the picking device to execute multiple picking task sets corresponding to the above multiple picking task order information sets. In this application scenario, multiple picking task sets include: picking task set 110 and picking task set 111. The above-mentioned picking task set 110 may include: picking tasks 1101 and picking tasks 1102. The above-mentioned picking task set 111 may include: picking tasks 1111 and picking tasks 1112.

It should be noted that the above-mentioned electronic device 101 may be hardware or software. When the electronic device is hardware, it can be implemented as a distributed cluster composed of multiple servers or terminal devices, or it can be implemented as a single server or a single terminal device. When the electronic device is embodied as software, it can be installed in the hardware device listed above. It may be implemented, for example, as multiple software or software modules for providing distributed services, or as a single software or software module. There are no specific limitations here.

It should be understood that the number of electronic devices in Figure 1 is merely illustrative. There can be any number of electronic devices depending on implementation needs.

Continuing to refer to FIG. 2 , a process 200 of some embodiments of a picking task execution method according to the present disclosure is shown. The picking task execution method includes the following steps:

Step 201: Determine the order number of the order set for the target order item and the inventory information of the target order item.

In some embodiments, the execution subject of the above-mentioned picking task execution method (for example, the electronic device 101 shown in FIG. 1 ) may determine the order number of the order set for the target order item and the inventory information of the target order item. The target order item may be an order item to be picked. For example, the target order item is a bicycle to be picked. The order set may be each order generated within a preset time period and the order items are target order items. Specifically, the orders in the order set may include but are not limited to at least one of the following: the order number of the order, the name of the order items, the number of order items, the receiving address, the shipping address, the consignee information, and the consignor information. The above inventory information of the target order items may be the storage information of the target order items in each warehouse. Optionally, the above-mentioned order set may also be each order obtained from the order pool and whose corresponding order item is the target order item. The above order pool is used to store individual order sets. The order items corresponding to each order set in the above order pool are the same order items. Each order set corresponds to different order items. Each order set stored in the above order pool can be displayed on the order pool interface. The above order pool interface is an interface used to display order pool information. The above order pool information may include but is not limited to at least one of the following: name information of each order set included in the order pool, and number information of each order set included in the order pool.

Referring to Figure 3, order pool 301 may store order sets 302, order sets 304, order sets 306, and order sets 308. Among them, the above-mentioned order set 302 includes: order 3021, order 3022 and order 3023. The order item 303 corresponding to the above order set 302 is "apple". The above order set 304 includes: order 3041, order 3042 and order 3043. The order item 305 corresponding to the above order set 304 is "Pear". The above order set 306 includes: order 3061, order 3062 and order 3063. The order item 307 corresponding to the above order set 306 is "banana". The above order set 308 includes: order 3081, order 3082 and order 3083. The order item 309 corresponding to the above order set 308 is "mango".

Step 202: Determine the item storage warehouse information corresponding to each order in the above order set based on the above order number and the above inventory information, and obtain the item storage warehouse information set.

In some embodiments, the execution subject may determine the item storage warehouse information corresponding to each order in the order set based on the order number and the inventory information, and obtain the item storage warehouse information set. Among them, the item storage warehouse information is the warehouse information where order items are stored corresponding to orders in the order collection. Here, determining the item storage warehouse information corresponding to each order in the order set is used to locate the warehouse from which the order items corresponding to each order need to be picked to improve picking efficiency.

As an example, first, the above execution subject can sort the item storage warehouse information based on the inventory information to obtain the item storage warehouse information sequence. For example, each item storage warehouse information includes: first item storage warehouse information, second item storage warehouse information, and third item storage warehouse information. The number of storage target order items stored in the first item storage warehouse information is 10. The storage number of target order items stored in the second item storage warehouse information is 15. The storage number of target order items stored in the third item storage warehouse information is 20. The above execution subject can sort the information of each item storage warehouse from small to large according to the storage number of target order items stored in each item storage warehouse information. That is, the item storage warehouse information sequence is: [first item storage warehouse information, second item storage warehouse information, third item storage warehouse information].

Next, it is determined whether there is item storage warehouse information in the item storage warehouse information sequence that stores the number of target order items greater than or equal to the above order number.

Then, in response to determining the existence, the item storage warehouse information with the target order item storage number greater than or equal to the order number and closest to the above order number is selected from the item storage warehouse information sequence as the item storage warehouse information corresponding to each order in the order set. For example, the order quantity is 14. Then, the second item storage warehouse information is filtered out from the item storage warehouse information sequence as the item storage warehouse information corresponding to each order in the order set.

Then, in response to determining that it does not exist, according to the order of the item storage warehouse information in the item storage warehouse information sequence, the storage number of the target order items corresponding to each item storage warehouse information is sequentially added until the added value is greater than or equal to the order number. . The information of at least one item storage warehouse that participates in the sum of the target order item storage numbers is determined as the item storage warehouse information set. Among them, the item storage warehouse information corresponding to each order can be determined based on the priority corresponding to the order. The higher the priority order, the higher the position of the corresponding item storage warehouse information in the item storage warehouse information sequence. For example, the order number is 24. The storage number corresponding to the first item storage warehouse information plus the storage number corresponding to the second item storage warehouse information is 25, and 25 is greater than 24. Therefore, the first item storage warehouse information and the second item storage warehouse information are regarded as the respective item storage warehouse information in the item storage warehouse information set. The order set includes: the first order, the second order...the twenty-third order and the twenty-fourth order. Sort the orders in the order set according to the order generation time to obtain the order sequence. Wherein, the order sequence may be: [first order, second order, fourth order, third order, tenth order, fifth order, sixth order, seventh order, eighth order, ninth order, tenth order First order, twelfth order, thirteenth order, fourteenth order, fifteenth order, seventeenth order, sixteenth order, eighteenth order, nineteenth order, twentieth order, second 11th Order, 22nd Order, 23rd Order, 24th Order]. The earlier the order in the order sequence, the higher the priority, and the earlier the corresponding order is generated. Therefore, the first order subsequence in the order sequence is: [first order, second order, fourth order, third order, tenth order, fifth order, sixth order, seventh order, eighth order , Ninth Order]. The second order subsequence in the order sequence is: [11th order, 12th order, 13th order, 14th order, 15th order, 17th order, 16th order, 18th order order, nineteenth order, twentieth order, twenty-first order, twenty-second order, twenty-third order, twenty-fourth order]. The item storage warehouse information corresponding to the first order sub-sequence is the first item storage warehouse information. The item storage warehouse information corresponding to the second order subsequence is the second item storage warehouse information.

Finally, in response to determining that the sum of the storage numbers corresponding to the item storage warehouse information sequence is less than the order number, the item storage warehouse information sequence is determined as the item storage warehouse information set, and the replenishment task information corresponding to the replenishment task information is executed. Among them, the item storage warehouse information corresponding to each order can be determined based on the priority corresponding to the order. The higher the priority order, the higher the position of the corresponding item storage warehouse information in the item storage warehouse information sequence. For example, the order quantity is 100. Add the storage numbers of each target order item, and the result is 45, and 45 is less than 100. Likewise, the order set includes: the first order, the second order...the forty-ninth order and the fiftieth order. Sort the orders in the order set according to the order generation time to obtain the order sequence. Wherein, the order sequence may be: [first order, second order, fourth order, third order, tenth order, fifth order, sixth order, seventh order, eighth order, ninth order, tenth order First order, twelfth order, thirteenth order, fourteenth order, fifteenth order, seventeenth order, sixteenth order, eighteenth order, nineteenth order, twentieth order, second The eleventh order, the twenty-second order, the twenty-third order, the twenty-fourth order…the forty-ninth order, the fiftieth order]. The earlier the order in the order sequence, the higher the priority, and the earlier the corresponding order is generated. Therefore, the first order subsequence in the order sequence is: [first order, second order, fourth order, third order, tenth order, fifth order, sixth order, seventh order, eighth order , Ninth Order]. The second order subsequence in the order sequence is: [11th order, 12th order, 13th order, 14th order, 15th order, 17th order, 16th order, 18th order order, nineteenth order, twentieth order, twenty-first order, twenty-second order, twenty-third order, twenty-fourth order]. The third order subsequence is: [Twenty-fifth order, twenty-sixth order...Forty-fourth order, forty-fifth order]. The item storage warehouse information corresponding to the first order sub-sequence is the first item storage warehouse information. The item storage warehouse information corresponding to the second order subsequence is the second item storage warehouse information. The item storage information corresponding to the third order subsequence is the third item storage warehouse information. That is, the first item storage warehouse information, the second item storage warehouse information, and the third item storage warehouse information are the respective item storage warehouse information in the item storage warehouse information set. The item storage warehouse information corresponding to the 46th order, the 47th order, the 48th order, the 49th order and the 50th order in the order sequence is determined as the first item storage warehouse information. The warehouse corresponding to the first item storage warehouse information may be a replenishment warehouse.

Step 203: Generate at least one order subset based on the above item storage warehouse information set and the above order set.

In some embodiments, the execution subject may generate at least one order subset based on the item storage warehouse information set and the order set. Wherein, when the number of item storage warehouse information in the item storage warehouse information set is one, the number of order subsets of the at least one order subset may also be one. That is, the order set is determined as a subset of orders.

As an example, the above execution subject can group orders with the same corresponding item storage warehouse information into a set to obtain at least one order subset.

Step 204: Generate a picking task order information set corresponding to each order subset in the at least one order subset, and obtain multiple picking task order information sets.

In some embodiments, the execution subject may generate a picking task order information set corresponding to each order subset in the at least one order subset, thereby obtaining multiple picking task order information sets. Among them, the picking task order information is the document of the picking task. The above-mentioned picking task is a task of picking order items from the item storage warehouse. The picking task order information may include but is not limited to at least one of the following: order name information of each order, order generation time of each order, and corresponding information of each order. Order item information.

As an example, for each order subset in at least one order subset, the above-mentioned execution subject can sort each order in the above-mentioned order subset according to the order generation time corresponding to the order to obtain an order sub-sequence. Orders are divided into each order in the order subsequence according to the predetermined interval to obtain a sequence of order division results. Generate picking task order information corresponding to each order division result in the above order division result sequence, and obtain the picking task order information set.

Step 205: Control the picking device to execute multiple picking task sets corresponding to the multiple picking task order information sets.

In some embodiments, the execution subject may control the picking device to complete multiple picking task sets corresponding to the multiple picking task order information sets. Wherein, the above-mentioned picking device may be a device that performs picking tasks. For example, the above-mentioned picking device may be a picking robot. Multiple picking task order information centralized picking task information corresponds one-to-one with multiple picking task information centralized picking task information. That is, the number of picking task information sets included in the multiple picking task information sets is the same as the number of picking task sets included in the multiple picking task sets.

As an example, the execution subject may send a picking instruction to control the picking device to complete multiple picking task sets corresponding to the multiple picking task order information sets.

The above-mentioned embodiments of the present disclosure have the following beneficial effects: various picking tasks can be completed efficiently through the picking task execution methods of some embodiments of the present disclosure, greatly improving the efficiency of order items being shipped out of the warehouse, and saving labor costs. Specifically, the reason why the delivery efficiency of order items is not high enough is that when the circulation volume of items is large, due to the small inventory in the picking area, frequent replenishment will occur, which greatly affects the delivery of order items. Warehouse efficiency is wasted and labor costs are wasted. Based on this, the picking task execution method of some embodiments of the present disclosure first determines the order number of the order set for the target order item and the inventory information of the target order item. Here, through the order number and the inventory information of the target order items, the item storage warehouse information corresponding to each order in the order set can be accurately located. Then, based on the above-mentioned order number and the above-mentioned inventory information of the target order items, the item storage warehouse information corresponding to each order in the above-mentioned order set can be more accurately located, and the order item storage warehouse information set can be obtained. Next, at least one order subset is generated based on the item storage warehouse information set and the order set, and then a corresponding picking task order information set is generated based on each generated order subset. Indirectly, by dividing each order in the order set, a more reasonable picking task order information set can be subsequently generated. Furthermore, a picking task order information set corresponding to each order subset in the at least one order subset is generated to obtain multiple picking task order information sets. Here, by generating a picking task order information set corresponding to each order subset, the order item set corresponding to the order subset can be efficiently picked. Finally, the picking device is controlled to execute multiple picking task sets corresponding to multiple picking task order information sets to realize automated processing of multiple picking task sets. In summary, the above picking task execution method can avoid frequent replenishment problems due to the small inventory in the zero picking area by locating the order items corresponding to each order, extracting warehouse information and dividing the order set, and greatly improves the order efficiency. The efficiency of goods leaving the warehouse saves labor costs.

Referring to FIG. 4 , a process 400 of other embodiments of a picking task execution method according to the present disclosure is shown. The picking task execution method includes the following steps:

Step 401: Determine the order number of the order set for the target order item and the inventory information of the target order item.

Step 402: Screen out the inventory in the entire storage area that meets the preset conditions from the above-mentioned inventory in the entire storage area, and use it as the target inventory in the entire storage area.

In some embodiments, the execution subject (such as the electronic device 101 shown in FIG. 1 ) can filter out the inventory in the entire storage area that meets the preset conditions from the above-mentioned inventory in the entire storage area as the target inventory in the entire storage area. Among them, the above-mentioned inventory information includes: inventory in the picking area, inventory in each storage area, and item removal coefficient in the storage area. The inventory in the entire storage area is the inventory of the target order items in the entire storage area. The whole storage area can be an item storage warehouse that stores order items as a whole/full box. The inventory in the picking area is the inventory of the target order items in the picking area. The picking area can be an item storage warehouse for scattered/non-full case storage of order items. The above-mentioned delisting coefficient of items in the storage area can be a value between 0 and 1. The above-mentioned item removal coefficient in the integrated storage area can represent the warehouse item removal index in the warehouse in the integrated storage area. The above-mentioned warehouse item removal indicator may be an indicator that uses handling equipment to remove target order items in the warehouse. The removal processing of target order items in the warehouse is the overall removal process of each target order item in the warehouse. When the item removal coefficient in the storage area is greater than the predetermined threshold, the above-mentioned execution subject will instruct the handling equipment to perform the entire removal process of the items. For example, the above-mentioned predetermined threshold may be 0.7. The above-mentioned preset condition may be the inventory amount of the entire storage area with the smallest inventory amount among the inventory amounts of each entire storage area. For example, the inventory of each integrated storage area includes: the inventory of the first integrated storage area, the inventory of the second integrated storage area, and the inventory of the third integrated storage area. The inventory quantity in the first entire storage area is 30. The inventory in the second entire storage area is 60. The inventory in the third storage area is 90. Then the inventory in the target storage area is the inventory in the first storage area.

Step 403: Multiply the above-mentioned target storage area inventory and the above-mentioned item removal coefficient in the storage area to obtain a multiplication value.

In some embodiments, the above-mentioned execution subject may multiply the above-mentioned target storage area inventory amount and the above-mentioned storage area item removal coefficient to obtain a multiplication value. The above-mentioned multiplied value may be the number of goods shipped from the target storage area corresponding to the inventory in the target storage area.

Step 404: In response to determining that the number of orders is less than the multiplication value and that the number of orders is less than or equal to the inventory in the zero-picking area, determine that the information in the zero-picking area is the item storage warehouse information corresponding to the order.

In some embodiments, in response to determining that the number of orders is less than the multiplied value and the number of orders is less than or equal to the inventory in the zero-picking area, the execution subject may determine that the information in the zero-picking area is the item storage warehouse information corresponding to the order. Among them, the item storage warehouse information corresponding to the target order item is the picking warehouse information of the subsequent target order item. For example, the order quantity is 50. The multiplied value is 100. The inventory level in the picking area is 80. Then the picking area information is determined as the item storage warehouse information corresponding to the above order.

In some optional implementations of some embodiments, after step 404, the steps may further include:

In the first step, in response to determining that the number of orders is less than the multiplied value and that the number of orders is greater than the inventory in the picking area, the execution subject may generate replenishment task information for the target order items. Among them, the replenishment task information is the task information of the replenishment task. Specifically, the above-mentioned replenishment task information may include but is not limited to at least one of the following: the task name of the replenishment task, the replenishment number of the replenishment task, and the replenishment item information of the replenishment task.

For example, the order quantity is 80. The multiplied value is 100. The inventory level in the picking area is 80. Then the above execution subject generates replenishment task information.

In the second step, the above-mentioned execution subject can execute the replenishment task corresponding to the above-mentioned replenishment task information.

Optionally, in response to determining that the replenishment task is completed, the execution subject may determine that the picking area information is the item storage warehouse information corresponding to the order.

In response to determining that the number of orders is greater than or equal to the multiplied value, and the number of orders is less than the inventory in the target storage area, it is determined that the information in the storage area is the item storage warehouse information corresponding to the order. For example, the order quantity is 120. The multiplied value is 100. The target inventory level in the storage area is 200. Then it is determined that the storage area information is the item storage warehouse information corresponding to the above order.

In some optional implementations of some embodiments, after step 404, the steps further include:

In the first step, the above-mentioned execution entity can add up the inventory amounts in each of the above-mentioned storage areas to obtain the added inventory amount.

For example, the inventory amount of each storage area can be: {100, 200, 300}. After adding up, the inventory is 600.

In the second step, the above-mentioned execution subject can add the above-mentioned added inventory and the above-mentioned picking area inventory to obtain the added value.

For example, the inventory level in the picking area is 80. After adding up, the inventory is 600. The added value is 680.

In the third step, in response to determining that the number of the above orders is greater than or equal to the above added value, the above execution subject may determine the priority of the above orders and the order wave of the above orders. Among them, the priority of the order can represent the priority processing order of the order. The order wave of an order can represent which batch of orders the order belongs to.

As an example, the above execution entity can determine the priority of the order and the order wave of the order based on the time when the order is generated. Among them, the earlier the order is generated, the higher the priority of the corresponding order, and the higher the order wave.

For example, the order set includes: first order, second order, third order, and fourth order. The order generation time corresponding to the first order is: November 1. The order generation time corresponding to the second order is: November 2. The order generation time corresponding to the third order is: November 14. The order corresponding to the fourth order was generated on November 16th. Then the priority of the first order is the first level. The priority of the second order is level 2. The priority of the third order is level three. The priority of the fourth order is level four. The first order and the second order belong to the first wave of orders. The third order and the fourth order belong to the second wave of orders.

In the fourth step, the above-mentioned execution entity can determine the item storage warehouse information of the above-mentioned order based on the priority of the above-mentioned order and the order wave of the above-mentioned order.

As an example, first, the above execution subject can sort the order set according to the priority and order wave of each order in the order set to obtain the order sequence. Then, according to the priority of the above order and the order wave of the order, the target position of the above order in the order sequence is determined. In response to determining that the target location is located in the first tenth of each location corresponding to the order sequence, it is determined that the picking area information is the item storage warehouse information of the above order. In response to determining that the target location is not located in the first tenth of each location corresponding to the order sequence, the entire storage area information is determined to be the item storage warehouse information of the above order.

Optionally, determining the item storage warehouse information of the above order based on the priority of the above order and the order wave of the above order may include the following steps:

In response to determining that the priority satisfies the first priority condition and the order wave satisfies the first wave condition, the execution subject may determine that the picking area information is the item storage warehouse information of the order. The first priority condition may be a preset condition. The above-mentioned first priority condition may be that the priority of the order is higher than the first predetermined level. For example, the first predetermined level is the third level. Likewise, the first wave condition can be a preset condition. The above first wave condition may be that the wave of the order is higher than the first predetermined wave. For example, the first scheduled wave is the third wave.

In response to determining that the above-mentioned priority meets the second priority condition and the above-mentioned order wave satisfies the second wave condition, the above-mentioned execution subject may determine that the storage area information is the item storage warehouse information of the above-mentioned order. Wherein, the above-mentioned second priority condition may be a preset condition. The above-mentioned second priority condition may be that the priority of the order is higher than the second predetermined level. For example, the second predetermined level is the fifth level. Likewise, the second wave condition can be a preset condition. The above second wave condition may be that the wave of the order is higher than the second predetermined wave. For example, the second predetermined wave is the fifth wave.

Optionally, the above-mentioned second predetermined level is lower than the first predetermined level. The above-mentioned second predetermined wave is lower than the first predetermined wave.

Optionally, in response to determining that the priority does not satisfy the second priority condition and/or the order wave does not satisfy the second wave condition, the execution subject may add the order information of the order to the exception interface. The order information of the above-mentioned order may include but is not limited to at least one of the following: the order name of the order, the priority of the order, and the wave of the order. Among them, the abnormal page is a page whose display priority does not meet the second priority condition and the order wave does not meet the second wave condition.

For example, the order's priority is level six. The order wave of the order is the sixth wave. Then the above execution subject can add the order to the exception page.

In the third step, in response to determining that the number of orders is greater than or equal to the multiplication value, the number of orders is greater than or equal to the inventory in the target storage area, and the number of orders is less than the addition value, the execution entity may subtract the addition value. Go to the above order number and get the subtracted value. For example, the multiplied value is 100. The target inventory level in the storage area is 200. The added value is 680. The order quantity is 630. The subtraction value is 50.

In the fourth step, the above-mentioned execution entity can remove the target inventory of the entire storage area from the inventory of each of the above-mentioned entire storage areas, and obtain the inventory of each entire storage area after removal.

For example, the inventory amount of each storage area can be: {100, 200, 300}. The target inventory level in the storage area is 100. Then the inventory in each storage area after removal is: {200, 300}.

In the fifth step, the above-mentioned execution entity can determine the item storage warehouse information corresponding to the above-mentioned order based on the above-mentioned subtraction value and the inventory amount in each storage area after the above-mentioned removal.

As an example, first, the above-mentioned execution subject can add the inventory amounts of each storage area after the above removal to obtain the added inventory amount. Then, determine the difference between the subtracted value and the added inventory. In response to determining that the subtraction value is less than or equal to the added inventory, at least one integrated storage area inventory is arbitrarily selected from the above-mentioned removed inventory in each integrated storage area as the item storage warehouse information set. Among them, the added value corresponding to the inventory in at least one storage area is greater than or equal to the subtracted value, and the difference between the added value and the subtracted value is less than 50. For determining the item storage warehouse information corresponding to each order, see step 202. In response to determining that the subtraction value is greater than the added inventory amount, it is determined to determine at least one item storage warehouse information as the item storage warehouse information set, and execute a replenishment task corresponding to the replenishment task information. Among them, the item storage warehouse information corresponding to each order can be determined based on the priority corresponding to the order. The higher the priority order, the higher the position of the corresponding item storage warehouse information in the item storage warehouse information sequence.

Optionally, determining the item storage warehouse information corresponding to the order based on the subtraction value and the inventory amount of each storage area after the removal may include the following steps:

Perform the following steps to determine item storage warehouse information:

The first sub-step is to select the inventory in the entire storage area that meets the above preset conditions from the inventory in each integrated storage area after the above removal, as the candidate inventory in the integrated storage area.

For example, the inventory in each storage area after removal is: {200, 300}. The inventory amount in the candidate storage area is 200.

The second sub-step is to multiply the inventory amount in the candidate storage area by the item removal coefficient in the storage area to obtain the multiplication result.

For example, the delisting coefficient of items in the storage area is 0.7. The inventory amount in the candidate storage area is 200. The multiplication result is 140.

In the third sub-step, the above-mentioned execution entity can determine the priority of the above-mentioned order and the order wave of the order.

The fourth sub-step, in response to determining that the above-mentioned subtraction value is less than the above-mentioned multiplication result, and the above-mentioned subtraction value is less than or equal to the above-mentioned inventory quantity in the zero picking area, determine the above-mentioned order concentration based on the priority of the above-mentioned order and the order wave of the above-mentioned order. The item storage warehouse information corresponding to each order.

As an example, in response to determining that the priority satisfies the first priority condition and the order wave satisfies the first wave condition, the execution subject may determine that the picking area information is the item storage warehouse information of the order. In response to determining that the above-mentioned priority meets the second priority condition and the above-mentioned order wave satisfies the second wave condition, the above-mentioned execution subject may determine that the storage area information is the item storage warehouse information of the above-mentioned order.

Optionally, after the fourth sub-step, the steps further include:

In the fifth sub-step, the above-mentioned execution subject can add the inventory amounts in each integrated storage area after the above removal to obtain the added inventory amount.

For example, the inventory in each storage area after removal is: {200, 300}. The total inventory quantity is 500.

In the sixth sub-step, the above-mentioned execution subject can add the above-mentioned added inventory and the above-mentioned picking area inventory to obtain the total added inventory.

For example, the total inventory amount is 500. The inventory level in the picking area is 80. The total added inventory is 580.

The seventh sub-step, in response to determining that the above-mentioned subtraction value is greater than or equal to the above-mentioned multiplication result, the above-mentioned subtraction value is greater than or equal to the above-mentioned candidate storage area inventory, and the above-mentioned subtraction value is less than the above-mentioned total addition inventory, the above-mentioned execution subject may Subtract the above-mentioned subtraction value from the above-mentioned total inventory amount to obtain the subtraction result.

For example, the multiplication result is 140. The inventory amount in the candidate storage area is 200. The total inventory added up is 500. The subtracted value is 250. The subtraction result is 250.

In the eighth sub-step, the above-mentioned execution subject can remove the above-mentioned candidate integrated storage area inventory amounts from the above-mentioned removed inventory amounts in each integrated storage area to obtain a set of removed integrated storage area inventory amounts.

For example, the inventory in each storage area after removal is: {200, 300}. The inventory amount in the candidate storage area is 200, then the inventory set in the entire storage area after removal is: {300}.

In the ninth sub-step, the above-mentioned execution subject can use the above-mentioned subtraction result as the subtraction value, the above-mentioned integrated storage area inventory set after removal as the inventory amount of each integrated storage area after removal, and continue to execute the above-mentioned item storage warehouse information determination step.

Optionally, after the fourth sub-step, the steps further include:

In the fifth sub-step, in response to determining that the subtraction value is less than the multiplication result and the subtraction value is greater than the inventory in the zero picking area, the execution subject may generate replenishment task information for the target order item.

In the sixth sub-step, the above-mentioned execution subject can execute the replenishment task corresponding to the above-mentioned replenishment task information.

In the seventh sub-step, the above-mentioned execution entity can determine the priority of the above-mentioned order and the order wave of the order.

In the eighth sub-step, the above-mentioned execution entity can determine the item storage warehouse information corresponding to the above-mentioned order based on the priority of the above-mentioned order and the order wave of the above-mentioned order.

Optionally, after the fourth sub-step, the steps further include:

The fifth sub-step: in response to determining that the subtraction value is greater than or equal to the multiplication result and that the subtraction value is less than the inventory in the candidate storage area, the execution subject may determine the priority of the order and the order wave of the order.

In the sixth sub-step, the above-mentioned execution subject can determine the item storage warehouse information corresponding to the above-mentioned order based on the priority of the above-mentioned order and the order wave of the above-mentioned order.

Step 405: Determine the number of divisions corresponding to the above order set based on the pre-obtained picking area configuration information.

In some embodiments, the above-mentioned execution subject may determine the number of divisions corresponding to the above-mentioned order set based on the pre-obtained picking area configuration information. Among them, the configuration information of the picking area can set information for the configuration of the picking area. For example, the above zero-picking area configuration information may include but is not limited to at least one of the following: equipment information of the zero-picking area, and picking and replenishment mode information of the zero-picking area. The above equipment information of the picking area is the equipment information of each equipment used in the picking area.

As an example, first, the above-mentioned execution subject can predict the order processing speed of the zero-picking area based on the configuration information of the zero-picking area obtained in advance. The order processing speed can represent the number of orders that can be processed in the picking area within a predetermined time. Then, based on the order processing speed of the picking area, determine the number of divisions corresponding to the above order set. The faster the order processing speed, the fewer the number of partitions corresponding to the order set.

Step 406: Divide the above order set into the above at least one order subset.

In some embodiments, the above-mentioned execution subject may divide the above-mentioned order set into the above-mentioned at least one order subset. The number of order subsets included in the at least one order subset is the division number.

As an example, the above execution subject may randomly divide the order set into at least one order subset. Wherein, the number of order subsets included in at least one order subset is the above-mentioned number of divisions.

As another example, the above execution subject can sort the order set according to the order generation time to obtain the order sequence. Then, according to the order of the order sequence, the above order set is divided into at least one order subset. The number of order subsets included in the at least one order subset is the division number.

Step 407: Generate a picking task order information set corresponding to the order subset based on the loadable cargo capacity of the picking device.

In some embodiments, the execution subject may generate a picking task order information set corresponding to the order subset based on the loadable cargo capacity of the picking device.

As an example, the above execution subject can sort each order in the order subset according to the number of items in the target order corresponding to the order to obtain the order subsequence. Then, each order in the order sub-sequence is divided according to the loadable cargo capacity, and the order division result set is obtained. The total order capacity of at least one order corresponding to each order division result is less than or equal to the above loadable cargo capacity. Finally, for each order division result in the order division result set, the picking task order information corresponding to the above order division result is generated.

Step 408: Control the picking device to complete multiple picking task sets corresponding to the multiple picking task order information sets.

In some embodiments, for the specific implementation of

steps

401 and 408 and the technical effects they bring, reference can be made to

steps

201 and 205 in the corresponding embodiment of Figure 2, which will not be described again here.

As can be seen from Figure 4, compared with the description of some embodiments corresponding to Figure 2, the process 400 of the picking task execution method in some embodiments corresponding to Figure 4 more prominently focuses on the inventory level of each unit according to the zero picking area. The specific steps to generate multiple picking task order information sets based on the storage area inventory amount and the entire storage area inventory coefficient. Therefore, the solutions described in these embodiments can generate more reasonable multiple picking task order information sets based on the inventory in the zero picking area, the inventory in each storage area, and the inventory coefficient in the storage area. Through the generated multiple picking task order information sets, order items can be shipped out of the warehouse more efficiently, thereby further saving labor costs.

Referring to Figure 5, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a picking task execution device. These device embodiments correspond to those method embodiments shown in Figure 2. The device Specifically, it can be applied to various electronic devices.

As shown in Figure 5, a picking task execution device 500 includes: a first determination unit 501, a second determination unit 502, a first generation unit 503, a second generation unit 504 and a control unit 505. Among them, the first determination unit 501 is configured to determine the order number of the order set for the target order item and the inventory information of the target order item; the second determination unit 502 is configured to determine based on the order number and the inventory information. The item storage warehouse information corresponding to each order in the above order set is used to obtain the item storage warehouse information set; the first generation unit 503 is configured to generate at least one order subset based on the above item storage warehouse information set and the above order set; second The generation unit 504 is configured to generate a picking task order information set corresponding to each order subset in the at least one order subset to obtain multiple picking task order information sets; the control unit 505 is configured to control the picking device Execute multiple picking task sets corresponding to the above multiple picking task order information sets.

In some optional implementations of some embodiments, the above inventory information includes: inventory in the picking area, inventory in each storage area, and item removal coefficient in the storage area; and the second determination unit 502 can be configured to: From the inventory in each of the above integrated storage areas, the inventory in the integrated storage area that meets the preset conditions is selected as the target integrated storage area inventory; the above target integrated storage area inventory is multiplied by the above mentioned integrated storage area item removal coefficient, The multiplication value is obtained; in response to determining that the above-mentioned order number is less than the above-mentioned multiplication value, and the above-mentioned order number is less than or equal to the above-mentioned zero-picking area inventory, it is determined that the zero-picking area information is the item storage warehouse information corresponding to the above-mentioned order.

In some optional implementations of some embodiments, the second determining unit 502 may be configured to: in response to determining that the number of orders is less than the multiplication value, and the number of orders is greater than the inventory in the picking area, generate the Replenishment task information of the target order item; execute the replenishment task corresponding to the above replenishment task information.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: in response to determining that the above-mentioned replenishment task is completed, determine that the above-mentioned zero picking area information is the item storage warehouse information corresponding to the above-mentioned order.

In some optional implementations of some embodiments, the first generation unit 503 may be configured to: determine the number of divisions corresponding to the above-mentioned order set based on the pre-obtained zero picking area configuration information; divide the above-mentioned order set into at least the above-mentioned An order subset, wherein the number of order subsets included in the at least one order subset is the division number.

In some optional implementations of some embodiments, the second generation unit 504 may be configured to: generate a picking task order information set corresponding to the above-mentioned order subset according to the loadable cargo capacity of the above-mentioned picking device.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: in response to determining that the number of orders is greater than or equal to the multiplication value, and the number of orders is less than the target storage area inventory, determine The storage area information is the item storage warehouse information corresponding to the above order.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: add the above-mentioned inventory amounts in each storage area to obtain the added inventory amount; and compare the above-mentioned added inventory amount with The above-mentioned inventory in the picking area is added to obtain the additive value; in response to determining that the above-mentioned order number is greater than or equal to the above-mentioned multiplication value, the above-mentioned order number is greater than or equal to the above-mentioned target storage area inventory, and the above-mentioned order number is less than the above-mentioned additive value, Subtract the above-mentioned order number from the above-mentioned added value to obtain the subtraction value; remove the target entire storage area inventory from the above-mentioned inventory in each entire storage area to obtain the inventory in each entire storage area after removal; according to the above-mentioned subtraction value and the above-mentioned After removing the inventory in each storage area, determine the item storage warehouse information corresponding to the above order.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: perform the following steps of determining item storage warehouse information: filter out the inventory in each storage area after the above removal to meet the above preset conditions The inventory of the entire storage area is used as the inventory of the candidate entire storage area; multiply the inventory of the above-mentioned candidate entire storage area and the above-mentioned delisting coefficient of items in the entire storage area to obtain the multiplication result; determine the priority of the above order and the order of the order Wave; in response to determining that the above-mentioned subtraction value is less than the above-mentioned multiplication result, and the above-mentioned subtraction value is less than or equal to the above-mentioned inventory in the picking area, determine the items corresponding to the above-mentioned order based on the priority of the above-mentioned order and the order wave of the above-mentioned order. Store warehouse information.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: add the inventory amounts of each integrated storage area after the above removal to obtain the added inventory amount; and combine the above added inventory amount with The above-mentioned picking area inventory is added to obtain the total added inventory; in response to determining that the above-mentioned subtraction value is greater than or equal to the above-mentioned multiplication result, the above-mentioned subtraction value is greater than or equal to the above-mentioned candidate storage area inventory, and the above-mentioned subtraction value is less than For the total amount of the above-mentioned added inventory, subtract the above-mentioned subtraction value from the above-mentioned total amount of inventory to obtain the subtraction result; remove the above-mentioned candidate inventory area from the above-mentioned inventory amount in each integrated storage area after removal, and obtain the entire inventory amount after removal. Storage area inventory set; use the above-mentioned subtraction result as the subtraction value, the above-mentioned entire storage area inventory set after removal as the inventory amount of each entire storage area after removal, and continue to perform the above-mentioned item storage warehouse information determination steps.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: add the above-mentioned inventory amounts in each storage area to obtain the added inventory amount; and compare the above-mentioned added inventory amount with The inventory amounts in the picking area are added up to obtain the added value; in response to determining that the number of the above orders is greater than or equal to the above added value, the priority of the above order and the order wave of the above order are determined; according to the priority of the above order and the above order The order wave determines the item storage warehouse information of the above order.

In some optional implementations of some embodiments, the second determining unit 502 may be configured to: in response to determining that the above-mentioned priority satisfies the first priority condition and the above-mentioned order wave satisfies the first wave condition, determine that the above-mentioned The picking area information is the item storage warehouse information for the above order.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: in response to determining that the above priority satisfies the second priority condition and the above order wave satisfies the second wave condition, determine that the entire order wave satisfies the second wave condition. The storage area information is the item storage warehouse information for the above order.

In some optional implementations of some embodiments, the second determination unit 502 may be configured to: in response to determining that the above priority does not satisfy the above second priority condition and/or the above order wave does not satisfy the above second wave Secondly, add the order information of the above order to the exception interface.

It can be understood that the units recorded in the device 500 correspond to various steps in the method described with reference to FIG. 2 . Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 500 and the units included therein, and will not be described again here.

Referring now to FIG. 6 , a schematic structural diagram of an electronic device (such as the electronic device 101 in FIG. 1 ) 600 suitable for implementing some embodiments of the present disclosure is shown. The electronic device shown in FIG. 6 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present disclosure.

As shown in FIG. 6, the electronic device 600 may include a processing device (eg, central processing unit, graphics processor, etc.) 601, which may be loaded into a random access device according to a program stored in a read-only memory (ROM) 602 or from a storage device 608. The program in the memory (RAM) 603 executes various appropriate actions and processes. In the RAM 603, various programs and data required for the operation of the electronic device 600 are also stored. The processing device 601, ROM 602 and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speakers, vibration An output device 607 such as a computer; a storage device 608 including a magnetic tape, a hard disk, etc.; and a communication device 609. Communication device 609 may allow electronic device 600 to communicate wirelessly or wiredly with other devices to exchange data. Although FIG. 6 illustrates electronic device 600 with various means, it should be understood that implementation or availability of all illustrated means is not required. More or fewer means may alternatively be implemented or provided. Each block shown in Figure 6 may represent one device, or may represent multiple devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In some such embodiments, the computer program may be downloaded and installed from the network via communication device 609, or from storage device 608, or from ROM 602. When the computer program is executed by the processing device 601, the above-described functions defined in the methods of some embodiments of the present disclosure are performed.

It should be noted that the computer-readable medium mentioned above in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having at least one conductor, a portable computer disk, a hard disk, random access memory (RAM), read only memory (ROM), erasable programmable memory Read memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device . Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wire, optical cable, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and server can communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and can communicate with digital data in any form or medium. Communications (e.g., communications network) interconnections. Examples of communications networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or developed in the future network of.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; it may also exist independently without being assembled into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: determines the order number of the order set for the target order item and the inventory of the target order item. information; based on the above-mentioned order number and the above-mentioned inventory information, determine the item storage warehouse information corresponding to each order in the above-mentioned order set, and obtain the item storage warehouse information set; based on the above-mentioned item storage warehouse information set and the above-mentioned order set, generate at least one order subset ; Generate a picking task order information set corresponding to each order subset in at least one of the order subsets, and obtain multiple picking task order information sets; control the picking device to execute multiple picking task order information sets corresponding to the above-mentioned multiple picking task order information sets. Picking task set.

Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages, including object-oriented programming languages—such as Java, Smalltalk, C++, or a combination thereof, Also included are conventional procedural programming languages—such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In situations involving remote computers, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as an Internet service provider). connected via the Internet).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains at least one operable function for implementing the specified logical function. Execute instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved. It will also be noted that each block of the block diagram and/or flowchart illustration, and combinations of blocks in the block diagram and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or operations. , or can be implemented using a combination of specialized hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented in software or hardware. The described unit may also be provided in a processor. For example, it may be described as follows: a processor includes a first determining unit, a second determining unit, a first generating unit, a second generating unit and a control unit. The names of these units do not constitute a limitation on the unit itself under certain circumstances. For example, the first determining unit can also be described as “determining the order number of the order set for the target order item and the number of orders for the target order item. Unit of Inventory Information".

The functions described above herein may be performed, at least in part, by at least one hardware logic component. For example, and without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), Systems on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

The above description is only an illustration of some preferred embodiments of the present disclosure and the technical principles applied. Persons skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to technical solutions composed of specific combinations of the above technical features, and should also cover the above-mentioned technical solutions without departing from the above-mentioned inventive concept. Other technical solutions formed by any combination of technical features or their equivalent features. For example, a technical solution is formed by replacing the above features with technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to).

Claims

A method for executing picking tasks, including:

Determine the order number of the order set for the target order item and the inventory information of the target order item;

According to the order number and the inventory information, determine the item storage warehouse information corresponding to each order in the order set, and obtain an item storage warehouse information set;

Generate at least one order subset based on the item storage warehouse information set and the order set;

Generate a picking task order information set corresponding to each order subset in the at least one order subset, and obtain multiple picking task order information sets;

The picking device is controlled to execute multiple picking task sets corresponding to the multiple picking task order information sets.
The method according to claim 1, wherein the inventory information includes: inventory in the picking area, inventory in each storage area, and item removal coefficient in the storage area; and

Determining the item storage warehouse information corresponding to each order in the order set based on the order number and the inventory information includes:

Screen out the inventory in the entire storage area that meets the preset conditions from the inventory in each of the entire storage areas, and use it as the target inventory in the entire storage area;

Multiply the inventory in the target storage area and the item removal coefficient in the storage area to obtain the multiplied value;

In response to determining that the number of orders is less than the multiplied value and that the number of orders is less than or equal to the inventory in the zero-picking area, it is determined that the information in the zero-picking area is the item storage warehouse information corresponding to the order.
The method of claim 2, further comprising:

In response to determining that the number of orders is less than the multiplied value and the number of orders is greater than the inventory in the picking area, generate replenishment task information for the target order item;

Execute the replenishment task corresponding to the replenishment task information.
The method of claim 3, further comprising:

In response to determining that the replenishment task is completed, it is determined that the picking area information is the item storage warehouse information corresponding to the order.
The method according to claim 2 or 4, wherein generating at least one order subset according to the item storage warehouse information set and the order set includes:

Determine the number of divisions corresponding to the order set based on the pre-obtained picking area configuration information;

The order set is divided into the at least one order subset, wherein the number of order subsets included in the at least one order subset is the division number.
The method according to claim 2 or 4, wherein the generating a picking task order information set corresponding to each order subset in the at least one order subset includes:

According to the loadable capacity of the picking device, a picking task order information set corresponding to the order subset is generated.
The method according to one of claims 2-4, wherein the method further includes:

In response to determining that the number of orders is greater than or equal to the multiplied value and that the number of orders is less than the target storage area inventory, it is determined that the storage area information is the item storage warehouse information corresponding to the order.
The method according to one of claims 2-4, wherein the method further includes:

Add the inventory in each storage area to obtain the added inventory;

Add the added inventory amount to the inventory amount in the picking area to obtain the added value;

In response to determining that the number of orders is greater than or equal to the multiplied value, the number of orders is greater than or equal to the target storage area inventory, and the number of orders is less than the added value, subtract the added value. The number of orders is subtracted to obtain the subtracted value;

Remove the target storage area inventory from the inventory in each storage area to obtain the inventory in each storage area after removal;

According to the subtraction value and the inventory amount of each storage area after the removal, the item storage warehouse information corresponding to the order is determined.
The method according to claim 8, wherein determining the item storage warehouse information corresponding to the order based on the subtraction value and the inventory amount of each storage area after removal includes:

Perform the following steps to determine item storage warehouse information:

Select the inventory in the entire storage area that meets the preset conditions from the inventory in each integrated storage area after the removal, and use it as the candidate inventory in the entire storage area;

Multiply the inventory amount of the candidate storage area and the item removal coefficient of the storage area to obtain the multiplication result;

Determine the priority of said order and the order wave of the order;

In response to determining that the subtraction value is less than the multiplication result and that the subtraction value is less than or equal to the stock quantity in the picking area, the order is determined based on the priority of the order and the order wave of the order. The item storage warehouse information corresponding to the order.
The method according to claim 9, wherein in the response to determining that the subtraction value is less than the multiplication result and the subtraction value is less than or equal to the inventory amount in the picking area, according to the order After determining the priority and order wave of the order and determining the item storage warehouse information corresponding to the order, the method further includes:

Add the inventory in each storage area after the removal to obtain the added inventory;

Add the added inventory amount to the inventory amount in the picking area to obtain the total added inventory amount;

In response to determining that the subtraction value is greater than or equal to the multiplication result, the subtraction value is greater than or equal to the candidate storage area inventory, and the subtraction value is less than the total addition inventory, the Add the total inventory and subtract the subtraction value to obtain the subtraction result;

Remove the inventory amount of the candidate integrated storage area from the inventory amount of each integrated storage area after the removal, and obtain the inventory amount set of the integrated storage area after removal;

The subtraction result is used as the subtraction value, the inventory amount set of the entire storage area after removal is used as the inventory amount of each entire storage area after removal, and the step of determining the item storage warehouse information is continued.
The method according to one of claims 2-4, wherein the method further includes:

Add the inventory in each storage area to obtain the added inventory;

Add the added inventory amount to the inventory amount in the picking area to obtain the added value;

In response to determining that the number of orders is greater than or equal to the added value, determine the priority of the order and the order wave of the order;

According to the priority of the order and the order wave of the order, the item storage warehouse information of the order is determined.
The method according to claim 11, wherein determining the item storage warehouse information of the order based on the priority of the order and the order wave of the order includes:

In response to determining that the priority satisfies the first priority condition and the order wave satisfies the first wave condition, it is determined that the picking area information is the item storage warehouse information of the order.
The method according to claim 11, wherein determining the item storage warehouse information of the order based on the priority of the order and the order wave of the order includes:

In response to determining that the priority satisfies the second priority condition and the order wave satisfies the second wave condition, the storage area information is determined to be the item storage warehouse information of the order.
The method of claim 13, wherein the method further includes:

In response to determining that the priority does not satisfy the second priority condition and/or that the order wave does not satisfy the second wave condition, order information for the order is added to the exception interface.
A picking task execution device, including:

A first determining unit configured to determine the order number of the order set for the target order item and the inventory information of the target order item;

The second determination unit is configured to determine the item storage warehouse information corresponding to each order in the order set based on the order number and the inventory information, and obtain an item storage warehouse information set;

A first generation unit configured to generate at least one order subset based on the item storage warehouse information set and the order set;

The second generation unit is configured to generate a picking task order information set corresponding to each order subset in the at least one order subset, and obtain a plurality of picking task order information sets;

The control unit is configured to control the picking device to execute multiple picking task sets corresponding to the multiple picking task order information sets.
An electronic device including:

at least one processor;

a storage device having at least one program stored thereon,

When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1-14.
A computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method according to any one of claims 1-14 is implemented.