WO2019071930A1 - 用于分拣货物的方法和装置 - Google Patents

用于分拣货物的方法和装置 Download PDF

Info

Publication number
WO2019071930A1
WO2019071930A1 PCT/CN2018/082686 CN2018082686W WO2019071930A1 WO 2019071930 A1 WO2019071930 A1 WO 2019071930A1 CN 2018082686 W CN2018082686 W CN 2018082686W WO 2019071930 A1 WO2019071930 A1 WO 2019071930A1
Authority
WO
WIPO (PCT)
Prior art keywords
order
allocated
goods
sorted
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2018/082686
Other languages
English (en)
French (fr)
Chinese (zh)
Inventor
陈鲲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to JP2020515708A priority Critical patent/JP7072054B2/ja
Publication of WO2019071930A1 publication Critical patent/WO2019071930A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C3/00—Sorting according to destination
    • B07C3/02—Apparatus characterised by the means used for distribution
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism

Definitions

  • the present application relates to the field of computer technology, and in particular to the field of warehousing logistics technology, and more particularly to a method and apparatus for sorting goods.
  • warehousing and logistics technology is also particularly important.
  • how to quickly sort out the goods indicated by the order from the warehouse is a technical problem involved in the warehousing logistics technology.
  • the existing sorting method of goods is usually to assign the order to the sorting unit with the least number of orders to be sorted.
  • this method has the problem of low sorting efficiency.
  • the embodiment of the present application provides a method for sorting goods, where the method includes: obtaining goods information included in each order to be allocated in an order group to be allocated; and acquiring a to-be-sorted order associated with the target sorting unit.
  • the included goods information according to the matching degree of the goods information included in each order to be allocated and the goods information included in the order to be sorted, the order to be allocated is selected from the group to be allocated; the selected order to be allocated is allocated to the target sorting unit.
  • the method before acquiring the goods information included in each to-be-allocated order in the to-be-distributed order group, the method further includes: acquiring order information of each to-be-allocated order in the to-be-distributed order set, wherein the order information includes priority information and time Information: According to the priority information and the time interval between the time indicated by the time information and the current time is greater than the preset duration threshold, each to-be-allocated order in the set of the order to be allocated is grouped to obtain an order group to be allocated.
  • each of the to-be-allocated orders in the set of the order to be allocated is grouped to obtain an order group to be allocated.
  • the method includes: searching for the priority information in the to-be-distributed order set to match the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold; and determining the priority information
  • the order to be allocated is matched with the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold, and the found order to be allocated is determined as the order in the order group to be allocated; If the priority information is not matched with the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold, the order in the order to be allocated is determined to be Assign orders in the order group.
  • the target sorting unit is determined by acquiring the number of orders to be sorted associated with each sorting unit; and determining the sorting unit having the smallest number of orders to be sorted as the target sorting unit.
  • obtaining the cargo information included in each to-be-allocated order in the to-be-distributed order group includes: determining whether there is a sorting unit whose number of orders to be sorted is smaller than a threshold of the to-be-ordered order; and determining that there is no waiting to be determined
  • the sorting unit whose number of orders is smaller than the threshold of the order to be sorted is obtained, and the goods information included in each order to be allocated in the order group to be allocated is obtained.
  • the matching degree of the cargo information included in each of the to-be-distributed orders and the cargo information included in the order to be sorted is determined by the following steps: the cargo information included in each of the orders to be dispensed and the goods included in the order to be sorted Information, determining the number of types of goods to be sorted for each order to be sorted associated with the target sorting unit; determining the number of types of goods included in each order to be allocated according to the information of the goods to be allocated for each order; according to the determined type of goods The coincidence number and the determined number of goods types determine the degree of matching of the cargo information included in each of the orders to be dispensed and the cargo information included in the order to be sorted.
  • determining the matching degree of the cargo information included in each of the to-be-distributed orders and the cargo information included in the order to be sorted according to the determined number of coincidences of the goods and the determined number of goods including: calculating the determined goods The ratio of the type coincidence number to the determined square of the cargo type; the calculated ratio is determined as the matching degree of the cargo information included in each of the orders to be dispensed and the cargo information included in the order to be sorted.
  • the embodiment of the present application provides an apparatus for sorting goods, where the apparatus includes: a first obtaining unit, configured to acquire goods information included in each to-be-distributed order in an order group to be allocated; and a second acquiring unit For obtaining the goods information included in the to-be-sorted order associated with the target sorting unit; the selecting unit is configured to select the order to be allocated according to the matching degree of the goods information included in each of the to-be-distributed orders and the goods information included in the order to be sorted The order to be allocated is selected in the group; the allocation unit is used to allocate the selected order to be allocated to the target sorting unit.
  • the apparatus further includes: a third obtaining unit, configured to acquire order information of each to-be-allocated order in the to-be-distributed order set, wherein the order information includes priority information and time information; and the grouping unit is configured to The level information and the interval between the time indicated by the time information and the current time are greater than the preset time threshold, and each of the to-be-allocated orders in the order to be allocated is grouped to obtain an order group to be allocated.
  • a third obtaining unit configured to acquire order information of each to-be-allocated order in the to-be-distributed order set, wherein the order information includes priority information and time information
  • the grouping unit is configured to The level information and the interval between the time indicated by the time information and the current time are greater than the preset time threshold, and each of the to-be-allocated orders in the order to be allocated is grouped to obtain an order group to be allocated.
  • the grouping unit is further configured to: find that the priority information in the to-be-distributed order set matches the preset information, or the interval between the time indicated by the time information and the current time is not greater than a preset duration threshold.
  • the to-be-allocated order that is to be allocated in response to the finding that the priority information matches the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold, and the to-be-allocated order to be allocated is found.
  • the order is determined as an order in the order group to be allocated; in response to the unfinished priority information matching the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold for the order to be allocated , the order in the order to be assigned is determined as the order in the order group to be allocated.
  • the apparatus further includes a target sorting unit determining unit, configured to: acquire the number of orders to be sorted associated with each sorting unit; determine the sorting unit that minimizes the number of orders to be sorted Sort the unit for the target.
  • a target sorting unit determining unit configured to: acquire the number of orders to be sorted associated with each sorting unit; determine the sorting unit that minimizes the number of orders to be sorted Sort the unit for the target.
  • the first obtaining unit is further configured to: determine whether there is a sorting unit whose number of orders to be sorted is smaller than a threshold of the order to be sorted; and in response to determining that there is no number of orders to be sorted, the number of orders to be sorted is smaller than that to be sorted
  • the sorting unit of the order threshold obtains the goods information included in each order to be allocated in the order group to be allocated.
  • the apparatus further includes a matching degree determining unit, configured to: determine each of the to-be-allocated orders and the target sorting unit according to the cargo information included in each of the to-be-distributed orders and the cargo information included in the order to be sorted The number of the goods of the associated order to be sorted is determined; the number of goods included in each order to be allocated is determined according to the information of the goods included in each order to be dispensed; and the number of goods to be determined according to the determined number of types of goods and the number of goods determined The matching degree between the goods information included in the order and the goods information included in the order to be sorted.
  • the matching degree determining unit is further configured to: calculate a ratio of the determined number of coincidences of the goods and the determined square of the goods; determine the calculated ratio as the cargo information and the to-be-score included in each of the orders to be allocated The matching degree of the goods information included in the order.
  • an embodiment of the present application provides an apparatus, where the apparatus includes: one or more processors; and a storage device, configured to store one or more programs, when the one or more programs are one or more of the foregoing
  • the processor when executed, causes the one or more processors described above to implement the method of the first aspect.
  • an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program, the program being implemented by the processor to implement the method of the first aspect.
  • the method and apparatus for sorting goods provided by the embodiment of the present application, by selecting the matching degree of the goods information included in each to-be-allocated order and the goods information included in the order to be sorted, selecting an order to be allocated from the group to be allocated, The selected orders to be allocated are allocated to the target sorting unit, which improves the sorting efficiency of the goods.
  • FIG. 1 is an exemplary system architecture diagram to which the present application can be applied;
  • FIG. 2 is a flow chart of one embodiment of a method for sorting goods in accordance with the present application
  • FIG. 3 is a schematic diagram of an application scenario of a method for sorting goods according to the present application.
  • FIG. 4 is a flow chart of still another embodiment of a method for sorting goods in accordance with the present application.
  • Figure 5 is a schematic structural view of one embodiment of an apparatus for sorting goods according to the present application.
  • FIG. 6 is a schematic structural diagram of a computer system suitable for implementing an electronic device of an embodiment of the present application.
  • FIG. 1 shows an exemplary system architecture 100 of an embodiment of a method for sorting goods or for sorting goods that can be applied to the present application.
  • the system architecture 100 can include a shelf shuttle 101, an intelligent handling robot 102, a sorting robot 103, a network 104, and a server 105.
  • the network 104 is used to provide a medium for communication links between the shelf shuttle 101, the intelligent handling robot 102, the sorting robot 103, and the server 105.
  • Network 104 may include various types of connections, such as wired, wireless communication links, fiber optic cables, and the like.
  • the shelf shuttle 101, the intelligent handling robot 102, and the sorting robot 103 can interact with the server 105 via the network 104 to receive or transmit messages and the like.
  • the sorting unit may include a sorting robot 103 and a plurality of slots for storing the goods sorted by the sorting robot 103.
  • the server 105 may be a server that provides various services, for example, may obtain the cargo information included in each to-be-allocated order in the to-be-distributed order group, and the cargo information included in the to-be-sorted order associated with the target sorting unit, and then according to each to-be-allocated order. The matching of the included cargo information and the cargo information included in the order to be sorted, finally selecting the to-be-allocated order from the to-be-allocated order group, and assigning the selected to-be-allocated order to the target sorting unit. Then, the server can control the rack shuttle 101, the intelligent handling robot 102, the sorting robot 103, and the like to move the goods included in the order to the slots of the target sorting unit.
  • the method for sorting goods provided by the embodiments of the present application is generally performed by the server 105. Accordingly, the device for sorting goods is generally disposed in the server 105.
  • shelf shuttles, smart handling robots, sorting robots, networks, and servers in Figure 1 is merely illustrative. Depending on the needs of the implementation, there can be any number of shelf shuttles, smart handling robots, sorting robots, networks and servers.
  • the system architecture 100 may also include other mechanical devices for transporting or sorting goods, such as a six-axis robot.
  • a flow 200 of one embodiment of a method for sorting goods in accordance with the present application is illustrated.
  • the above method for sorting goods includes the following steps:
  • Step 201 Acquire the goods information included in each to-be-allocated order in the order group to be allocated.
  • the electronic device on which the method for sorting goods is run can obtain each to-be-distributed in the group to be allocated from a local or other electronic device (for example, a database server).
  • the order group to be assigned may include an order submitted by a user in the e-commerce platform. Usually, after the user submits the order, it can determine from which warehouse the goods indicated in the order need to be sorted, and send the order related information to the server of the determined warehouse.
  • the server may acquire a set of unprocessed orders at predetermined time intervals, and perform part or all of the orders in the set of acquired orders as an order group for subsequent processing.
  • the predetermined time interval can be set according to actual needs, for example, it can be 1 second.
  • the cargo information may be related to the location where the goods are placed, such as the information of the shelves on which the goods are placed, and the shelves on which the goods are placed are generally related to the type of the goods. Therefore, the cargo information may also be the type of goods, the type of goods.
  • the classification can be pre-classified according to actual experience. As an example, shampoo and shower gel can be classified as daily necessities; all brands of shampoo can be classified as shampoo; and shampoos of different brands can be returned. For different types of shampoo.
  • the type of goods can be determined according to the mark of the goods.
  • the goods identification may be a Stock Keeping Unit (SKU), which may determine whether the goods are of the same kind according to the SKU, and if the SKUs are the same, the same goods, if the SKUs are different, the different types of acquisitions .
  • SKU Stock Keeping Unit
  • the method before acquiring the goods information included in each of the to-be-allocated orders in the to-be-distributed order group, the method further includes: obtaining order information of each to-be-allocated order in the to-be-distributed order set, where the order The information includes the priority information and the time information. The time interval between the time indicated by the priority information and the time information and the current time is greater than the preset duration threshold, and each of the to-be-allocated orders in the set of the order to be allocated is grouped to be allocated. Order group.
  • the time interval between the time indicated by the priority information and the time information and the current time is greater than a preset duration threshold, and each of the to-be-allocated orders in the set of the order to be allocated is grouped. And obtaining an order group to be allocated, including: searching for an order to be allocated in which the priority information in the to-be-assigned order set matches the preset information, or the interval between the time indicated by the time information and the current time is not longer than the preset time threshold; In response to finding that the priority information matches the preset information, or the time interval between the time indicated by the time information and the current time is not greater than the preset time threshold, the found order to be allocated is determined to be allocated.
  • the order to be assigned in the order group ; the order to be allocated in response to the fact that the priority information is not matched with the preset information, or the time between the time indicated by the time information and the current time is not greater than the preset time threshold,
  • the order in the collection is determined as the order in the order group to be assigned.
  • the priority information may include information indicating that the order is a rush order or a normal order, and the rush order may be an order to be assigned based on the priority information.
  • the normal order For a normal order, if the interval between the time indicated by the time information of the normal order (which may be the order time or the order time) and the current time is greater than the preset duration threshold, the normal order is determined as the order to be allocated. . It can be understood that if the interval between the time indicated by the time information of the ordinary order and the current time is greater than the preset duration threshold, it indicates that the pending order may be placed for a longer period of time and should be allocated as soon as possible, otherwise the order may be caused. Delivery delay.
  • acquiring the goods information included in each to-be-allocated order in the to-be-distributed order group includes: determining whether there is a sorting unit whose number of orders to be sorted is smaller than a threshold of the to-be-ordered order; After determining that there is no sorting unit whose number of orders to be sorted is smaller than the threshold of the order to be sorted, the information of the goods included in each order to be allocated in the order group to be allocated is obtained.
  • the threshold of the order to be sorted may be set according to actual needs, for example, may be half of the total number of orders that can be sorted by the sorting unit, and the number of orders to be sorted may determine whether the sorting task assigned by the sorting unit is Saturation, in the case that the sorting tasks assigned to each sorting unit are relatively saturated, the sorting efficiency can be improved by analyzing the matching degree of the goods.
  • Step 202 Acquire the cargo information included in the to-be-sorted order associated with the target sorting unit.
  • the electronic device may acquire the cargo information included in the to-be-sorted order associated with the target sorting unit.
  • the sorting unit may be a unit capable of completing the sorting task of the goods indicated by the order, and may sort the goods indicated by one or more orders. For example, there may be several slot stations in the warehouse for storing goods.
  • Target sorting unit may be a sorting unit to which an order is to be assigned, and the sorting unit may be selected from all sorting units as a target sorting unit according to a preset rule.
  • the target sorting unit is determined by acquiring the number of orders to be sorted associated with each sorting unit; determining the sorting unit having the smallest number of orders to be sorted as Target sorting unit.
  • each sorting unit is balanced by determining the sorting unit that minimizes the number of orders to be sorted as the target sorting unit.
  • the target sorting unit may be determined according to other rules, for example, each sorting unit may be determined to be the target sorting unit in turn in order.
  • Step 203 Select an order to be allocated from the to-be-allocated order group according to the matching degree of the goods information included in each to-be-distributed order and the goods information included in the to-be-ordered order.
  • the electronic device may select, according to the matching degree of the cargo information included in each of the to-be-distributed orders acquired in step 201 and the cargo information included in the to-be-sorted order acquired in step 202, from the to-be-distributed order group. Assign an order.
  • the matching of the cargo information can be used to characterize the distance of the goods.
  • the cargo information is the kind of goods, the goods belong to the same kind, the goods will be placed in the same position or placed close to each other, so that the goods are transported to the target sorting unit. It can reduce the workload of cargo handling.
  • Step 204 Assign the selected order to be allocated to the target sorting unit.
  • the electronic device may allocate the to-be-allocated order selected in step 203 to the target sorting unit, so as to control the transportation tool to transport the selected goods to be allocated to the selected target sorting unit. , causing the target sorting unit to sort out the goods indicated by the above-mentioned order to be dispensed.
  • FIG. 3 is a schematic diagram of an application scenario of a method for sorting goods according to the present embodiment.
  • the server 301 can obtain the cargo information included in each to-be-allocated order in the to-be-distributed order group, and the to-be-sorted order associated with the target sorting unit 302, such as the order 1, the order 2, and the included cargo information.
  • the order to be allocated is selected from the group to be allocated; the selected order to be allocated is allocated to the target sorting unit 302.
  • the foregoing embodiment of the present application provides a method for selecting an item to be allocated from the to-be-assigned order group by using the matching degree of the goods information included in each to-be-distributed order and the item information included in the order to be sorted, and the selected order to be allocated is selected. Assignment to the target sorting unit improves the efficiency of sorting the goods.
  • the process 400 of the method for sorting goods includes the following steps:
  • Step 401 Acquire the goods information included in each to-be-allocated order in the order group to be allocated.
  • the electronic device on which the method for sorting goods is run (for example, the server shown in FIG. 1) can obtain each to-be-distributed in the group to be allocated from a local or other electronic device (for example, a database server).
  • the goods information included in the order can be obtained from a local or other electronic device (for example, a database server).
  • Step 402 Acquire the cargo information included in the to-be-sorted order associated with the target sorting unit.
  • the electronic device may acquire the cargo information included in the to-be-sorted order associated with the target sorting unit.
  • Step 403 Determine, according to the cargo information included in each to-be-distributed order and the cargo information included in the to-be-ordered order, the number of combinations of the goods to be sorted associated with the target sorting unit.
  • the electronic device may determine, according to the cargo information included in each of the to-be-distributed orders acquired in step 401 and the cargo information included in the to-be-sorted order acquired in step 402, that each of the to-be-distributed orders is associated with the target sorting unit.
  • the number of goods in the sort order is the same.
  • two types of goods are indicated in the order to be dispensed, namely shampoo and shower gel.
  • Three kinds of goods are indicated in the to-be-sorted order of the target sorting unit A, namely shampoo, shower gel and biscuits, and the same goods to be dispensed with the target sorting unit A are shampoo and shower gel.
  • Step 404 Determine the number of types of goods included in each order to be allocated according to the goods information included in each order to be allocated.
  • the electronic device may determine the number of types of goods included in each to-be-allocated order according to the item information included in each order to be allocated.
  • Step 405 Determine, according to the determined number of coincidences of the types of goods and the determined number of types of goods, the matching degree of the goods information included in each of the orders to be allocated and the goods information included in the order to be sorted.
  • the electronic device may determine the matching degree of the cargo information included in each of the to-be-distributed orders and the cargo information included in the order to be sorted according to the number of types of goods determined in step 403 and the number of types of goods determined in step 404. For example, the ratio of the determined number of coincidences of each cargo type and the number of cargo categories may be calculated; the calculated ratio is determined as the matching degree of the cargo information included in each of the orders to be dispensed and the cargo information included in the order to be sorted.
  • the number of goods to be assigned to order A is 4, and the number of goods to be assigned to order B is 5.
  • the number of coincidences of the goods to be dispensed between the order A and the target sorting unit C is 1, and the number of matches of the goods to be allocated B and the target sorting unit C is 3.
  • the ratio of the cargo type coincidence number 1 to the cargo type number 4 can be determined as the coincidence degree of the cargo type between the order A to be dispensed and the target sorting unit C, that is, 1/4.
  • the ratio of the number of goods type 3 to the number of goods type 5 can be determined as the degree of coincidence of the goods type between the order B to be dispensed and the target sorting unit C, that is, 3/5.
  • determining the matching degree between the cargo information included in each of the to-be-distributed orders and the cargo information included in the order to be sorted according to the determined number of coincidences of the goods and the determined number of goods includes: calculating a ratio of the determined number of coincidences of each cargo type and the square of the number of cargo categories; determining the calculated ratio as the matching degree of the cargo information included in each of the orders to be allocated and the cargo information included in the order to be sorted. It should be noted that, because some orders need to take a lot of goods, this method of squared the number of goods can enlarge the difference of the base number of the goods, and the sorting efficiency can be improved compared with the method of not taking the square.
  • Step 406 Select an order to be allocated from the to-be-allocated order group according to the matching degree of the goods information included in each to-be-distributed order and the goods information included in the order to be sorted.
  • the electronic device may select an order to be allocated from the to-be-allocated order group according to the matching degree of the cargo information included in each to-be-allocated order and the cargo information included in the order to be sorted.
  • Step 407 the selected order to be allocated is allocated to the target sorting unit.
  • the electronic device may allocate the to-be-allocated order selected in step 406 to the target sorting unit, so as to control the transportation tool to transport the selected goods to be allocated to the selected target sorting unit. , causing the target sorting unit to sort out the goods indicated by the above-mentioned order to be dispensed.
  • the flow 400 of the method for sorting goods in the present embodiment highlights the step of determining the degree of matching of the cargo information based on the degree of coincidence of the goods, as compared with the embodiment corresponding to Fig. 2. Therefore, the solution described in this embodiment only needs to obtain the regular order information, and does not need to obtain other information such as the storage location of the goods, and improves the sorting efficiency of the goods on the basis of increasing the amount of calculation.
  • the present application provides an embodiment of an apparatus for sorting goods, the apparatus embodiment corresponding to the method embodiment shown in FIG.
  • the device can be specifically applied to various electronic devices.
  • the apparatus 500 for sorting goods includes a first acquiring unit 501, a second obtaining unit 502, a selecting unit 503, and an allocating unit 504.
  • the first obtaining unit 501 is configured to obtain the cargo information included in each to-be-allocated order in the to-be-distributed order group
  • the second acquiring unit 502 is configured to obtain the cargo information included in the to-be-sorted order associated with the target sorting unit
  • the unit 503 is configured to select an order to be allocated from the to-be-distributed order group according to the matching degree of the goods information included in each of the to-be-distributed orders and the goods information to be sorted
  • the allocation unit 504 is configured to select the to-be-allocated The order is assigned to the target sorting unit.
  • step 201 and step 202 in the corresponding embodiment of FIG. 2, respectively.
  • step 203 and step 204 are not described herein again.
  • the device further includes: a third acquiring unit (not shown), configured to acquire order information of each to-be-allocated order in the to-be-distributed order set, where the order information includes Priority information and time information; a grouping unit (not shown) for determining whether the interval between the time indicated by the priority information and the time information and the current time is greater than a preset duration threshold, and is to be allocated in the order set Each of the orders to be allocated is grouped to obtain an order group to be allocated.
  • the grouping unit (not shown) is further configured to: find that the priority information in the to-be-distributed order set matches the preset information, or the time indicated by the time information.
  • the time interval between the current time and the current time is not greater than the preset time threshold; the time interval between the time indicated by the time information and the current time is not greater than the pre-requisite in response to the finding that the priority information matches the preset information.
  • an order to be allocated with a duration threshold determining the found order to be allocated as an order in the order group to be allocated; matching the priority information with the preset information in response to the unfinished priority information, or the time indicated by the time information and the current time
  • the order to be allocated is not longer than the preset time threshold, and the order in the order to be allocated is determined as the order in the order group to be allocated.
  • the apparatus further includes a target sorting unit determining unit (not shown), and the target sorting unit determining unit (not shown) is configured to: acquire each sorting The number of orders to be sorted associated with the unit (not shown); the sorting unit (not shown) that minimizes the number of orders to be sorted is determined as the target sorting unit.
  • the first obtaining unit 501 is further configured to: determine whether there is a sorting unit (not shown) whose number of orders to be sorted is smaller than a threshold of the order to be sorted; In response to determining that there is no sorting unit (not shown) whose number of orders to be sorted is less than the threshold of the order to be sorted, the goods information included in each order to be dispensed in the order group to be allocated is obtained.
  • the apparatus further includes a matching degree determining unit (not shown), and the matching degree determining unit (not shown) is configured to: include the goods according to each of the orders to be allocated The information and the goods information included in the order to be sorted, determining the number of the goods of the order to be sorted associated with the target sorting unit, and determining the goods included in each order to be allocated according to the goods information included in each order to be allocated The number of categories; determining the matching degree of the cargo information included in each of the orders to be dispensed and the cargo information included in the order to be sorted according to the determined number of coincidences of the goods and the determined number of goods.
  • the matching degree determining unit (not shown in the figure) is further configured to: calculate the determined ratio of the number of coincidences of each cargo type and the square of the number of goods; the ratio to be calculated The degree of matching of the cargo information included in each of the orders to be dispensed and the cargo information included in the order to be sorted is determined.
  • FIG. 6 a block diagram of a computer system 600 suitable for use in implementing the electronic device of the embodiments of the present application is shown.
  • the electronic device shown in FIG. 6 is merely an example, and should not impose any limitation on the function and scope of use of the embodiments of the present application.
  • computer system 600 includes a central processing unit (CPU) 601 that can be loaded into a program in random access memory (RAM) 603 according to a program stored in read only memory (ROM) 602 or from storage portion 608. And perform various appropriate actions and processes.
  • RAM random access memory
  • ROM read only memory
  • RAM random access memory
  • various programs and data required for the operation of the system 600 are also stored.
  • the CPU 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604.
  • An input/output (I/O) interface 605 is also coupled to bus 604.
  • the following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a storage portion 608 including a hard disk or the like. And a communication portion 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the Internet.
  • Driver 610 is also coupled to I/O interface 605 as needed.
  • a removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like, is mounted on the drive 610 as needed so that a computer program read therefrom is installed into the storage portion 608 as needed.
  • an embodiment of the present disclosure includes a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for executing the method illustrated in the flowchart.
  • the computer program can be downloaded and installed from the network via communication portion 609, and/or installed from removable media 611.
  • the central processing unit (CPU) 601 the above-described functions defined in the method of the present application are performed.
  • the computer readable medium described above may be a computer readable signal medium or a computer readable storage medium or any combination of the two.
  • the computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only 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 foregoing.
  • a computer readable storage medium may be any tangible medium that can contain or store a program, which can be used by or in connection with an instruction execution system, apparatus or device.
  • a computer readable signal medium may include a data signal that is propagated in the baseband or as part of a carrier, carrying computer readable program code. Such propagated data signals can take a variety of forms including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer readable signal medium can also be any computer readable medium other than a computer readable storage medium, which can transmit, propagate, or transport a program for use by or in connection with the instruction execution system, apparatus, or device.
  • Program code embodied on a computer readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
  • each block of the flowchart or block diagram can represent a module, a program segment, or a portion of code that includes one or more of the logic functions for implementing the specified.
  • Executable instructions can also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented in a dedicated hardware-based system that performs the specified function or operation. Or it can be implemented by a combination of dedicated hardware and computer instructions.
  • the units involved in the embodiments of the present application may be implemented by software or by hardware.
  • the described unit may also be disposed in the processor.
  • a processor includes a first acquiring unit, a second acquiring unit, a selecting unit, and an allocating unit.
  • the name of these units does not constitute a limitation on the unit itself in some cases.
  • the first obtaining unit may also be described as “a unit for obtaining the goods information included in each order to be allocated in the order group to be allocated”. .
  • the present application also provides a computer readable medium, which may be included in the apparatus described in the above embodiments, or may be separately present and not incorporated into the apparatus.
  • the computer readable medium carries one or more programs, and when the one or more programs are executed by the device, the device is configured to: obtain the cargo information included in each to-be-distributed order in the to-be-distributed order group; and acquire the target sorting unit.

Landscapes

  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
PCT/CN2018/082686 2017-10-11 2018-04-11 用于分拣货物的方法和装置 Ceased WO2019071930A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2020515708A JP7072054B2 (ja) 2017-10-11 2018-04-11 貨物を仕分けるための方法および装置

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710940128.X 2017-10-11
CN201710940128.XA CN109647719B (zh) 2017-10-11 2017-10-11 用于分拣货物的方法和装置

Publications (1)

Publication Number Publication Date
WO2019071930A1 true WO2019071930A1 (zh) 2019-04-18

Family

ID=66100353

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/082686 Ceased WO2019071930A1 (zh) 2017-10-11 2018-04-11 用于分拣货物的方法和装置

Country Status (3)

Country Link
JP (1) JP7072054B2 (https=)
CN (1) CN109647719B (https=)
WO (1) WO2019071930A1 (https=)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110694953A (zh) * 2019-10-11 2020-01-17 北京旷视机器人技术有限公司 轮盘分拣机的物品投递方法、装置及电子设备
CN111382974A (zh) * 2020-03-09 2020-07-07 北京旷视机器人技术有限公司 货架位置的确定方法及装置、仓储系统、计算机设备
CN111754059A (zh) * 2019-05-28 2020-10-09 北京京东乾石科技有限公司 一种任务组合方法和装置
CN111784469A (zh) * 2020-06-29 2020-10-16 北京京东振世信息技术有限公司 一种订单分播复核方法、装置、设备及存储介质
CN112446754A (zh) * 2019-09-04 2021-03-05 北京京东乾石科技有限公司 用于处理订单的方法和装置
CN112766833A (zh) * 2019-10-21 2021-05-07 北京京东振世信息技术有限公司 确定拣货容器的方法、装置、电子设备和存储介质
CN112801323A (zh) * 2019-11-13 2021-05-14 顺丰科技有限公司 分拣设备调度方法、装置、电子设备及存储介质
CN113205299A (zh) * 2021-05-20 2021-08-03 北京京东乾石科技有限公司 一种生成拣货任务单的方法、装置和存储介质
CN113283708A (zh) * 2021-04-29 2021-08-20 北京京东振世信息技术有限公司 任务单分配方法、装置、电子设备和计算机可读介质
CN113705974A (zh) * 2021-07-30 2021-11-26 广州佳帆计算机有限公司 一种基于多路径分拣策略的商品分拣方法及装置
CN113793087A (zh) * 2021-02-26 2021-12-14 北京京东振世信息技术有限公司 用于分拣物品的方法和装置
CN115239084A (zh) * 2022-06-30 2022-10-25 岭澳核电有限公司 核电站物料二次分拣方法、装置、计算机设备及存储介质
CN115619489A (zh) * 2022-11-08 2023-01-17 湖北凯乐仕通达科技有限公司 订单分拣方法、装置和计算机设备
CN116187718A (zh) * 2023-04-24 2023-05-30 深圳市宏大供应链服务有限公司 基于计算机视觉的智慧货物识别分拣方法及系统
CN119227977A (zh) * 2024-12-03 2024-12-31 中科云谷科技有限公司 用于仓储多工作站的订单分配方法、装置和存储介质

Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110223011A (zh) * 2019-05-22 2019-09-10 杭州海仓科技有限公司 智能仓储设备调度方法、系统、存储介质及电子设备
CN112053017B (zh) * 2019-06-05 2024-08-02 顺丰科技有限公司 一种分拣装置分配方法、系统、终端及存储介质
CN112070330A (zh) * 2019-06-11 2020-12-11 北京京东振世信息技术有限公司 一种出库方法和装置
JP7339038B2 (ja) * 2019-07-10 2023-09-05 Juki株式会社 部品管理システム及び部品管理方法
CN112214731B (zh) * 2019-07-11 2024-04-09 北京京东振世信息技术有限公司 确定目标集合的方法和装置
CN111080187A (zh) * 2019-11-13 2020-04-28 北京旷视机器人技术有限公司 订单分配方法、装置、计算机设备和存储介质
CN111105184B (zh) * 2019-11-27 2023-09-05 深圳友宝科斯科技有限公司 售货机备货方法及其控制系统和计算机可读存储介质
CN111080207A (zh) * 2019-12-26 2020-04-28 北京每日优鲜电子商务有限公司 订单处理方法、装置、设备及存储介质
CN113450044B (zh) * 2020-03-26 2024-06-18 北京京东乾石科技有限公司 用于工作站的订单处理方法及订单处理装置
CN111652544A (zh) * 2020-05-26 2020-09-11 希杰物流(上海)有限公司 一种包裹集运上架的方法、集运上架智能设备及系统
CN113762664B (zh) * 2020-06-22 2024-12-13 北京京东乾石科技有限公司 拣货任务的分配方法、装置及计算机可读介质
CN113780701B (zh) * 2020-07-30 2025-07-15 北京京东乾石科技有限公司 订单分流方法及装置
CN113762831B (zh) * 2020-08-07 2024-06-18 北京京东乾石科技有限公司 一种自动化进行物品分播的方法、装置和存储介质
CN113762854B (zh) * 2020-11-17 2024-09-24 北京沃东天骏信息技术有限公司 一种订单处理方法和装置
CN113743856A (zh) * 2021-01-05 2021-12-03 北京京东乾石科技有限公司 物品分拣方法及装置、存储介质
CN113762315B (zh) * 2021-02-04 2025-01-17 北京京东振世信息技术有限公司 图像检测方法、装置、电子设备和计算机可读介质
CN113065820B (zh) * 2021-03-25 2025-02-28 北京京东乾石科技有限公司 信息生成方法、装置、电子设备和计算机可读介质
CN113578757A (zh) * 2021-06-30 2021-11-02 北京迈格威科技有限公司 分拣方法、电子设备和分拣系统
CN113955362B (zh) * 2021-08-11 2024-02-06 浙江立镖机器人有限公司 立体分拣控制方法、立体分拣机器人和相关设备
CN114013891B (zh) * 2021-08-11 2024-02-27 浙江立镖机器人有限公司 一种立体分拣方法、立体分拣机器人和系统
CN113695235B (zh) * 2021-09-01 2023-09-01 北京京东乾石科技有限公司 一种物流拣选方法、装置、系统以及可读存储介质
CN116119243A (zh) * 2021-11-12 2023-05-16 汉海信息技术(上海)有限公司 一种货物分拣的方法及装置
CN115156090B (zh) * 2022-05-31 2024-04-05 北京旷视机器人技术有限公司 料箱分配方法、电子设备及存储介质
CN115660348A (zh) * 2022-10-26 2023-01-31 珠海格力智能装备有限公司 订单调度方法、装置及系统
CN115660380B (zh) * 2022-12-08 2023-08-15 无锡凯乐士科技有限公司 货到人拣选的订单处理方法及装置
CN118333532B (zh) * 2024-06-17 2024-09-17 浙江凯乐士科技集团股份有限公司 订单拣选方法、系统、电子设备及存储介质
CN119227976B (zh) * 2024-12-03 2025-03-25 中科云谷科技有限公司 用于仓储工作站的订单分配方法及其装置

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140136255A1 (en) * 2012-11-14 2014-05-15 Wal-Mart Stores, Inc. Dynamic Task Management
CN105719110A (zh) * 2015-05-22 2016-06-29 北京小度信息科技有限公司 订单处理方法和装置
CN105719010A (zh) * 2015-07-24 2016-06-29 北京小度信息科技有限公司 配送任务的处理方法及装置
CN106779526A (zh) * 2016-11-23 2017-05-31 北京小度信息科技有限公司 订单组分配方法及装置
CN106897852A (zh) * 2017-01-27 2017-06-27 华南理工大学 用于物流的订单排序优化方法
CN107025533A (zh) * 2017-03-29 2017-08-08 上海极络智能科技有限公司 货物拣选方法、货物拣选系统、计算装置和计算机可读存储介质
CN107092997A (zh) * 2016-07-29 2017-08-25 北京小度信息科技有限公司 一种物流调度方法及装置
CN107844882A (zh) * 2017-08-24 2018-03-27 北京小度信息科技有限公司 配送任务处理方法、装置及电子设备
CN107844879A (zh) * 2017-06-27 2018-03-27 北京小度信息科技有限公司 订单分配方法和装置
CN107886245A (zh) * 2017-11-10 2018-04-06 北京小度信息科技有限公司 订单推送方法和装置

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002114326A (ja) * 2000-10-12 2002-04-16 Nkk Corp 自動倉庫のレーン管理方法および装置
JP5417034B2 (ja) * 2009-05-19 2014-02-12 株式会社イシダ ピッキングシステム
WO2013083146A1 (en) * 2011-12-09 2013-06-13 Georg-August-Universität Göttingen Stiftung Öffentlichen Rechts Method and device for estimating development parameters of plants
CN104205135B (zh) * 2012-02-05 2018-06-19 麦修斯资源有限公司 持续批订单履行
CN105117777A (zh) * 2015-07-28 2015-12-02 北京嘀嘀无限科技发展有限公司 一种订单分配的方法及装置
CN104624508A (zh) * 2015-02-16 2015-05-20 北京任我在线电子商务有限公司 高效分拣方法及系统
CN104751272A (zh) * 2015-03-04 2015-07-01 径圆（上海）信息技术有限公司 智能订单调度方法、服务器、电动车、移动终端及系统
CN105858045B (zh) * 2016-06-03 2019-01-29 北京极智嘉科技有限公司 货物自动拣选系统和货物自动拣选方法
CN106447186B (zh) * 2016-09-21 2018-05-04 广东工业大学 一种智能仓储中运输设备任务分配的方法及装置
CN109472523B (zh) * 2017-09-07 2022-09-30 北京京东振世信息技术有限公司 用于分拣货物的方法和装置

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140136255A1 (en) * 2012-11-14 2014-05-15 Wal-Mart Stores, Inc. Dynamic Task Management
CN105719110A (zh) * 2015-05-22 2016-06-29 北京小度信息科技有限公司 订单处理方法和装置
CN105719010A (zh) * 2015-07-24 2016-06-29 北京小度信息科技有限公司 配送任务的处理方法及装置
CN107092997A (zh) * 2016-07-29 2017-08-25 北京小度信息科技有限公司 一种物流调度方法及装置
CN106779526A (zh) * 2016-11-23 2017-05-31 北京小度信息科技有限公司 订单组分配方法及装置
CN106897852A (zh) * 2017-01-27 2017-06-27 华南理工大学 用于物流的订单排序优化方法
CN107025533A (zh) * 2017-03-29 2017-08-08 上海极络智能科技有限公司 货物拣选方法、货物拣选系统、计算装置和计算机可读存储介质
CN107844879A (zh) * 2017-06-27 2018-03-27 北京小度信息科技有限公司 订单分配方法和装置
CN107844882A (zh) * 2017-08-24 2018-03-27 北京小度信息科技有限公司 配送任务处理方法、装置及电子设备
CN107886245A (zh) * 2017-11-10 2018-04-06 北京小度信息科技有限公司 订单推送方法和装置

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111754059A (zh) * 2019-05-28 2020-10-09 北京京东乾石科技有限公司 一种任务组合方法和装置
CN112446754A (zh) * 2019-09-04 2021-03-05 北京京东乾石科技有限公司 用于处理订单的方法和装置
CN110694953A (zh) * 2019-10-11 2020-01-17 北京旷视机器人技术有限公司 轮盘分拣机的物品投递方法、装置及电子设备
CN110694953B (zh) * 2019-10-11 2021-11-16 北京旷视机器人技术有限公司 轮盘分拣机的物品投递方法、装置及电子设备
CN112766833B (zh) * 2019-10-21 2023-11-07 北京京东振世信息技术有限公司 确定拣货容器的方法、装置、电子设备和存储介质
CN112766833A (zh) * 2019-10-21 2021-05-07 北京京东振世信息技术有限公司 确定拣货容器的方法、装置、电子设备和存储介质
CN112801323A (zh) * 2019-11-13 2021-05-14 顺丰科技有限公司 分拣设备调度方法、装置、电子设备及存储介质
CN111382974B (zh) * 2020-03-09 2024-01-19 北京旷视机器人技术有限公司 货架位置的确定方法及装置、仓储系统、计算机设备
CN111382974A (zh) * 2020-03-09 2020-07-07 北京旷视机器人技术有限公司 货架位置的确定方法及装置、仓储系统、计算机设备
CN111784469A (zh) * 2020-06-29 2020-10-16 北京京东振世信息技术有限公司 一种订单分播复核方法、装置、设备及存储介质
CN111784469B (zh) * 2020-06-29 2024-04-09 北京京东振世信息技术有限公司 一种订单分播复核方法、装置、设备及存储介质
CN113793087B (zh) * 2021-02-26 2024-04-16 北京京东振世信息技术有限公司 用于分拣物品的方法和装置
CN113793087A (zh) * 2021-02-26 2021-12-14 北京京东振世信息技术有限公司 用于分拣物品的方法和装置
CN113283708A (zh) * 2021-04-29 2021-08-20 北京京东振世信息技术有限公司 任务单分配方法、装置、电子设备和计算机可读介质
CN113205299B (zh) * 2021-05-20 2024-05-17 北京京东乾石科技有限公司 一种生成拣货任务单的方法、装置和存储介质
CN113205299A (zh) * 2021-05-20 2021-08-03 北京京东乾石科技有限公司 一种生成拣货任务单的方法、装置和存储介质
CN113705974A (zh) * 2021-07-30 2021-11-26 广州佳帆计算机有限公司 一种基于多路径分拣策略的商品分拣方法及装置
CN115239084A (zh) * 2022-06-30 2022-10-25 岭澳核电有限公司 核电站物料二次分拣方法、装置、计算机设备及存储介质
CN115619489A (zh) * 2022-11-08 2023-01-17 湖北凯乐仕通达科技有限公司 订单分拣方法、装置和计算机设备
CN116187718B (zh) * 2023-04-24 2023-08-04 深圳市宏大供应链服务有限公司 基于计算机视觉的智慧货物识别分拣方法及系统
CN116187718A (zh) * 2023-04-24 2023-05-30 深圳市宏大供应链服务有限公司 基于计算机视觉的智慧货物识别分拣方法及系统
CN119227977A (zh) * 2024-12-03 2024-12-31 中科云谷科技有限公司 用于仓储多工作站的订单分配方法、装置和存储介质

Also Published As

Publication number Publication date
CN109647719A (zh) 2019-04-19
JP7072054B2 (ja) 2022-05-19
JP2020533254A (ja) 2020-11-19
CN109647719B (zh) 2020-07-31

Similar Documents

Publication Publication Date Title
WO2019071930A1 (zh) 用于分拣货物的方法和装置
US11325780B2 (en) Method and device for sorting cargo
CN106980955B (zh) 用于输出信息的方法和装置
CN109840648B (zh) 用于输出储位信息的方法和装置
CN110866709B (zh) 合并订单的方法和装置
CN110371548B (zh) 一种货物入库方法和装置
CN110929981B (zh) 一种订单分配方法、装置、系统及存储介质
WO2019114391A1 (zh) 信息输出方法和装置
CN111523977B (zh) 波次订单集合的创建方法、装置、计算设备和介质
WO2018188473A1 (zh) 订单处理方法、装置、服务器和存储介质
CN110348771B (zh) 一种对订单进行组单的方法和装置
CN111507651B (zh) 应用于人机混合仓库的订单数据处理方法和装置
CN110059993B (zh) 一种仓储管理的方法和装置
CN112529346B (zh) 任务分配方法和装置
CN109978213B (zh) 一种任务路径规划方法和装置
CN110304385B (zh) 一种仓库上架方法和装置
CN112101831A (zh) 货物的出库方法、装置、介质及电子设备
CN110189065B (zh) 一种确定种子订单的方法和装置
CN111415110A (zh) 一种盘点货架的方法和装置
CN109816283B (zh) 用于确定物品出库时间的方法和装置
CN110472900B (zh) 用于确定物品存储位置的方法和装置
CN110766348B (zh) 一种组合拣货任务的方法和装置
WO2019015254A1 (zh) 信息处理方法和装置
CN113379173B (zh) 为仓库商品标记标签的方法和装置
CN109255563B (zh) 物品的储位区域的确定方法和装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18866217

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2020515708

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 17/08/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 18866217

Country of ref document: EP

Kind code of ref document: A1