CN113052655A - Order picking method and system - Google Patents
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Abstract
The application discloses an order picking method and system, and relates to the technical field of order processing. One embodiment of the method comprises: in response to the current-time task list to be delivered, calculating the required capacity of the goods-to-person picking device based on the information of the task list to be delivered; calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number; and in response to determining that the demanded capacity is greater than the remaining capacity, performing offline picking on the excess task order. The implementation method effectively saves the order processing time and guarantees the timeliness of order processing.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for order picking.
Background
With the rapid development of electronic commerce, especially, the commodity order quantity of fresh and fresh cold chain products, and the requirements of customers on the quality of the fresh and fresh commodity cold chain and the delivery timeliness are higher and higher, so that the efficient operation and connection of each operation link in the fresh and fresh cold chain storage are required. The commodity is selected to be very important link in the storage operation, and the commodity storage distribution area is very big simultaneously, and personnel select the operation route big, and the environment generally is at-18 ℃ freezing environment, and operating personnel just need to have a rest to the environment of relatively comfortable every operation period, leads to in the fresh cold chain storage personnel to run off the proportion far beyond ordinary storage, and then leads to the average proficiency of operating personnel not high, seriously restricts the efficiency and the customer experience of whole fresh cold chain supply chain.
The fresh food freezer is put into the automation goods to human equipment and can be fine solution operating environment (set up the heat preservation between the independent operation, operating environment temperature is about 5 ~ 10 ℃), but the general rigidity of automation equipment is great, and how on the basis of the automation equipment is put into to the current, the problem that the productivity that the maximize promoted automation equipment is waited to solve is urgent.
Disclosure of Invention
The embodiment of the application provides an order picking method, an order picking device, order picking equipment and a storage medium.
According to a first aspect, an embodiment of the present application provides an order picking method, including: in response to the current-time task list to be delivered, calculating the required capacity of the goods-to-person picking device based on the information of the task list to be delivered; calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number; and in response to the fact that the required capacity is larger than the residual capacity, carrying out offline picking on the excess task list, wherein the excess task list is used for indicating the task list in the to-be-delivered task list corresponding to the difference value between the required capacity and the residual capacity.
According to a second aspect, an embodiment of the present application provides an order picking system, including: a first processor for performing an order picking method.
According to a third aspect, embodiments of the present application provide an electronic device, which includes one or more processors; a storage device having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to implement the order picking method as any embodiment of the first aspect.
According to a fourth aspect, embodiments of the present application provide a computer-readable medium, on which a computer program is stored, which when executed by a processor, implements an order picking method as in any of the embodiments of the first aspect.
According to the method, the required capacity of the goods-to-person picking device is calculated based on the information of the task list to be delivered from the warehouse in response to the current-time task list to be delivered from the warehouse; calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number; and responding to the fact that the required capacity is larger than the residual capacity, carrying out offline picking on the excess task list, wherein the excess task list is used for indicating the task list in the to-be-delivered task list corresponding to the difference value between the required capacity and the residual capacity, so that the problem that in the prior art, when the to-be-delivered task list cannot be processed in a specified time, the operation time of the goods-to-person picking device is properly prolonged, and the timeliness of order processing cannot be guaranteed is solved, the order processing time is effectively saved, and the timeliness of order processing is guaranteed.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of an order picking method according to the present application;
FIG. 3 is a schematic diagram of an application scenario of an order picking method according to the present application;
FIG. 4 is a flow diagram of another embodiment of an order picking method according to the present application;
FIG. 5 is a flow diagram of one embodiment of an order picking system according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
FIG. 1 illustrates an exemplary system architecture 100 to which embodiments of the order picking method of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102, 103 interact with a server 105 via a network 104 to receive or send messages or the like. Various communication client applications, such as a communication application, an order processing application, and the like, may be installed on the terminal devices 101, 102, and 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices having a display screen, including but not limited to a mobile phone and a notebook computer. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple software or software modules (e.g., to provide order picking services) or as a single software or software module. And is not particularly limited herein.
The server 105 may be a server that provides various services, such as calculating required capacity of a required goods-to-person picking device based on information of a to-be-delivered job ticket in response to acquiring a current time of the to-be-delivered job ticket; calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number; and in response to determining that the demanded capacity is greater than the remaining capacity, performing offline picking on the excess task order.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple software or software modules (e.g., to provide order picking services) or as a single software or software module. And is not particularly limited herein.
It should be noted that the order picking method provided by the embodiment of the present disclosure may be executed by the server 105, or may be executed by the terminal devices 101, 102, and 103, or may be executed by the server 105 and the terminal devices 101, 102, and 103 in cooperation with each other. Accordingly, each part (for example, each unit, subunit, module, and submodule) included in the order picking apparatus may be entirely provided in the server 105, may be entirely provided in the terminal devices 101, 102, and 103, and may be provided in the server 105 and the terminal devices 101, 102, and 103, respectively.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
FIG. 2 shows a flow diagram 200 of an embodiment of an order picking method that may be applied to the present application. In this embodiment, the order picking method includes the following steps:
In the embodiment, in response to receiving the current time of the to-be-delivered job ticket issued by the WMS (Warehouse Management System), the executive body (e.g., the server 105 or the terminal devices 101, 102, 103 shown in fig. 1) calculates the required capacity of the to-be-delivered person picking device for picking the to-be-delivered job ticket according to the information of the to-be-delivered job ticket.
The WMS system is used for combining orders corresponding to the order warehouse-out tasks into one or more task sheets in an order pool after receiving the current-time order warehouse-out tasks, and taking the one or more task sheets as the task sheets to be warehoused out, wherein one task sheet can comprise a plurality of orders.
Here, the information of the to-be-ex-warehouse job ticket may include the number of commodities, the number of kinds of commodities, commodity storage location information, and the like corresponding to the to-be-ex-warehouse job ticket.
The goods-to-person sorting device may be a sorting device in the prior art or future development technology that automatically transports goods to the front of people for people to sort, for example, a goods-to-person sorting device based on a fresh cold chain, a goods-to-person sorting device based on medical logistics, and the like, which is not limited in this application.
In some optional modes, the information of the task list to be exported comprises at least one of the following items: the method comprises the steps of obtaining quantity information of commodities corresponding to a task order to be delivered, storage position information of the commodities corresponding to the task order to be delivered, and quantity information of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the task order to be delivered.
In this implementation manner, the execution main body may calculate the required capacity of the goods-to-person sorting device according to one or more items of quantity information of the goods corresponding to the to-be-ex-warehouse task order, storage location information of the goods corresponding to the to-be-ex-warehouse task order, quantity information of the goods that need to be subjected to manual relay sorting in the goods corresponding to the to-be-ex-warehouse task order, and the corresponding weight.
According to the implementation mode, the required capacity of the goods to the human picking device is calculated according to one or more items of quantity information of the goods corresponding to the task order to be delivered, storage position information of the goods corresponding to the task order to be delivered and quantity information of the goods needing to be subjected to manual relay picking in the goods corresponding to the task order to be delivered, so that the accuracy of calculating the required capacity is improved.
In some alternatives, calculating the required capacity of the goods-to-person picking device based on the information of the to-be-delivered order includes: and calculating the required capacity of the goods to the human picking device based on the type total quantity and the number total quantity of the goods corresponding to the task list to be delivered, the storage position quantity and the shelf quantity corresponding to the goods corresponding to the task list to be delivered, and the type total quantity and the number total quantity of the goods to be subjected to manual relay picking in the goods corresponding to the task list to be delivered.
In this implementation manner, the quantity information of the commodities corresponding to the to-be-delivered task list may include the total quantity of the types and the total quantity of the numbers of the commodities corresponding to the to-be-delivered task list. The storage position information of the commodities corresponding to the to-be-ex-warehouse task order can include the total quantity of picking task rows (storage position quantity) and the quantity of shelves of the commodities corresponding to the to-be-ex-warehouse task order, wherein the picking task rows are used for indicating the storage position quantity of the commodities corresponding to the to-be-ex-warehouse task order after the commodities are positioned in the commodity-to-person picking device, each storage position can pick a plurality of quantities of the same commodities at one time, each storage position can also pick a certain quantity of the commodities required in a plurality of task orders at the same time, the fewer the commodity picking task rows with the same ex-warehouse quantity are, the higher the quantity of the commodities which can be ex-warehouse at one time is represented by each picking, and the higher the.
The information of the number of commodities to be subjected to manual relay picking in the commodities corresponding to the to-be-delivered task list may include the total number of types and the total number of pieces of the commodities to be subjected to manual relay picking in the commodities corresponding to the to-be-delivered task list.
Here, the manual relay picking means that a part of the to-be-delivered task sheets need to complete picking tasks of a first baton in the goods-to-person picking device (machine area), and a second baton of the manual relay picking is carried out in a manual picking area (person area).
Specifically, the information of the task list to be exported includes: the quantity information of the commodities corresponding to the to-be-ex-warehouse task order, the storage position information of the commodities corresponding to the to-be-ex-warehouse task order, the quantity information of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the to-be-ex-warehouse task order, and the required capacity of the current to-be-ex-warehouse task order corresponding to the goods-to-person picking device can be represented by the following formula:
wherein i represents the current wave order i;
wherein t represents the current system time in minutes;
wherein
Representing the required capacity of the goods-to-people picking device at the system time t of the current wave i, and the unit is the number of pieces;
wherein P isiIndicating the total number of the types of the commodities corresponding to the task list to be delivered in the current wave number i;
wherein N isiIndicating the total number of the commodities corresponding to the task list to be delivered in the current wave number i;
wherein R isiIndicating the total number of the picked task rows (the number of the storage positions) of the commodities corresponding to the tasks to be delivered from the warehouse;
wherein SiRepresenting the total number of commodity types needing to be subjected to manual relay picking in commodities corresponding to the task list to be delivered from the warehouse within the current time i;
wherein KiRepresenting the total number of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the task list to be delivered from the warehouse within the current wave number i;
wherein HiRepresenting the total number of shelves positioned by all the commodities corresponding to the task order to be delivered from the warehouse within the current time i (the goods-to-person picking device automatically conveys one shelf to a person for picking each time, so that the fewer the number of shelves automatically positioned by the commodities with the same delivery quantity, the less the waiting time of the goods-to-person system, the higher the delivery efficiency);
wherein alpha is1、α2、β1、β2、β3、β4And respectively configuring the weight coefficients of the parameter.
According to the implementation mode, the required demand capacity of the goods-to-person picking device is calculated based on the type total amount and the number total amount of the commodities corresponding to the task order to be delivered, the storage position number and the goods shelf number corresponding to the commodities corresponding to the task order to be delivered, and the type total amount and the number total amount of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the task order to be delivered, so that the accuracy of the calculated demand capacity is further improved, and the timeliness of processing the order delivery task is effectively guaranteed.
In this embodiment, the executive body further calculates the remaining capacity of the picking device corresponding to the current time, that is, the current system time, and the remaining capacity corresponding to the on-line picking mode of the picking device corresponding to the current time.
In some alternatives, calculating the remaining capacity of the goods-to-person picking device corresponding to the current time comprises: and calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave time based on the current system time, the order cutting time corresponding to the current wave time and the picking and delivery efficiency of the goods-to-person picking device.
In this implementation, the executive agent may calculate the remaining capacity of the goods-to-person picking device corresponding to the current time according to the current system time, the order-picking time corresponding to the current time, and the picking delivery efficiency of the goods-to-person picking device.
Specifically, according to the current system time, the order cutting time corresponding to the current time and the picking delivery efficiency of the goods-to-person picking device, the calculated remaining capacity in the on-line picking mode of the goods-to-person picking device is represented by the following formula:
wherein
Representing that when the system time t is reached, the current wave number i adopts an online picking mode W to reach all the residual capacities and units of the human picking device;
wherein T isiRepresenting the order interception time corresponding to the current wave order i;
wherein q represents the picking delivery efficiency of the goods-to-person device in the on-line picking mode, and the unit is piece/h.
According to the implementation mode, the remaining capacity of the goods-to-person picking device corresponding to the current wave number is calculated based on the current system time, the order cutting time corresponding to the current wave number and the picking delivery efficiency of the goods-to-person picking device, and the accuracy of calculating the remaining capacity is effectively improved.
In step 203, in response to determining that the demanded capacity is greater than the remaining capacity, the excess task list is picked offline.
In this embodiment, the execution main body compares the residual capacity with the required capacity after acquiring the residual capacity and the required capacity corresponding to the current-time to-be-delivered task list, and if it is determined that the required capacity is greater than the residual capacity, performs offline picking on excess task lists in the to-be-delivered task lists, and performs online picking on task lists except the excess task lists in the to-be-delivered task lists by the goods-to-people picking device.
The excess task list is mainly used for indicating a task list corresponding to the difference value between the required capacity and the residual capacity.
Here, the off-line picking in the excess task list may be performed by outputting information of the excess task list to prompt manual picking, or by using a goods-to-person picking device to start an off-line picking mode to perform off-line picking, which is not limited in the present application.
In some alternatives, in response to determining that the demanded capacity is less than or equal to the remaining capacity, the to-be-delivered job ticket is picked online via the person-to-person picking device.
In the implementation mode, after the execution main body obtains the residual capacity and the required capacity corresponding to the current to-be-delivered-from-warehouse task list, the residual capacity and the required capacity are compared, and if the required capacity is determined to be less than or equal to the residual capacity, the commodities corresponding to the to-be-delivered-from-warehouse task list are picked on line through the commodity-to-person picking device.
According to the implementation mode, the order to be delivered out of the warehouse is picked on line through the goods-to-person picking device in response to the fact that the required capacity is smaller than or equal to the residual capacity, so that the order to be delivered out of the warehouse is picked when the required capacity is smaller than or equal to the residual capacity, and the processing effectiveness of the order is guaranteed.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the order picking method according to the present embodiment.
In the application scenario of fig. 3, in response to acquiring the current time of the to-be-delivered task order, the executive agent 301 calculates the required capacity 302 of the to-be-delivered picking device based on the information of the to-be-delivered task order; calculating the remaining capacity 303 of the goods-to-person picking device corresponding to the current time; and comparing the residual capacity with the required capacity, and if the required capacity is determined to be larger than the residual capacity 304, performing offline picking on excess task orders in the to-be-delivered task orders 305, and performing online picking on task orders except the excess task orders in the to-be-delivered task orders through the goods-to-people picking device.
According to the order picking method, the required capacity of the goods-to-person picking device is calculated based on the information of the task list to be delivered by responding to the current-time task list to be delivered; calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number; and in response to the fact that the required capacity is larger than the residual capacity, offline picking is carried out on the excess task list, so that the order processing time is effectively saved, and the timeliness of order processing is guaranteed.
With further reference to FIG. 4, a flow 400 of yet another embodiment of an order picking method is illustrated. The process 400 of the order picking method of the embodiment may include the following steps:
In this embodiment, details of implementation and technical effects of step 401 may refer to the description of step 201, and are not described herein again.
In this embodiment, reference may be made to the description of step 202 for details of implementation and technical effects of step 402, which are not described herein again.
In step 403, in response to determining that the demanded capacity is greater than the remaining capacity, first registration information of each offline empty unit container corresponding to the excess task list is obtained.
In this embodiment, the execution main body compares the remaining capacity with the demanded capacity after acquiring the remaining capacity and the demanded capacity corresponding to the current waiting-to-export task list, and acquires first registration information of each offline empty unit container corresponding to the excess task list if it is determined that the demanded capacity is greater than the remaining capacity.
The first registration information is used for indicating an identification code of the offline empty unit container, an identification code of an offline picking cache road junction used for placing the offline empty unit container and information of a task order corresponding to the offline empty unit container, wherein the identification code of the offline picking cache road junction corresponds to the identification code of the offline picking cache road junction.
In this embodiment, the execution subject sends the first registration information to the consignor sorting device after acquiring the first registration information.
After receiving the first registration information corresponding to the excess task list, the goods-to-person picking device can synchronously pick goods based on the first registration information corresponding to the excess task list and the second registration information corresponding to the non-excess task list.
Compared with the embodiment corresponding to fig. 2, in the above embodiment of the present application, the process 400 of the order picking method in this embodiment represents obtaining the first registration information of each offline empty unit container corresponding to the excess task order; and sending the first registration information to a goods-to-person picking device so that the goods-to-person picking device can synchronously pick excess task sheets and non-excess task sheets based on the first registration information, and the automation degree of equipment is improved while the timeliness of order processing is guaranteed.
Further, the present application provides an embodiment of an order picking system, which corresponds to the embodiment of the method shown in fig. 2, and which is particularly applicable to various electronic devices.
The order picking system of the present embodiment includes: the first processor is configured to perform an implement order picking method.
In some optional aspects of this embodiment, the order picking system further comprises: and the goods-to-person picking device is used for receiving the first registration information sent by the processor and picking the excess task list and the non-excess task list synchronously based on the first registration information.
In some alternatives of this embodiment, the goods-to-person picking apparatus comprises: the second processor is used for acquiring second registration information of the online empty unit containers corresponding to the non-excess task order, performing shelf positioning based on the first registration information and the second registration information in response to receiving first registration information of the offline empty unit containers corresponding to the excess task order to obtain positioned shelf information, sending the positioned shelf information to the rotary shelf unit to enable the shelf rotary unit to rotate the positioned shelf to the automatic door, sending an opening instruction to the automatic door unit in response to receiving indication information of completion of rotation sent by the rotary shelf unit, and sending distribution information of the unit containers on the online sorting cache crossing and the unit containers on the online sorting cache crossing for the commodities on the positioned shelf to the electronic display unit; the rotating shelf unit is used for rotating the positioned shelf to the automatic door in response to receiving the positioned shelf information sent by the second processor and sending rotating completion indication information to the second processor after the rotation is completed; the automatic door unit is used for responding to the received opening instruction sent by the second processor and opening the automatic door; and the electronic display unit is used for receiving the distribution information sent by the second processor and displaying the distribution information.
In this implementation manner, the second processor obtains second registration information of the empty unit container on the line corresponding to the non-excess task list, where the second registration information is used to indicate an identification code of the empty unit container on the line, an identification code of an on-line sorting cache road junction for placing the empty unit container on the line, and information of the task list corresponding to the empty unit container on the line.
After the second processor acquires the first registration information and the second registration information, the first registration information and the second registration information are automatically combined and shelf positioning is carried out (if the number of the online picking cache road junctions is the same as that of the offline picking cache road junctions, the single number of picking tasks which are taken out of the warehouse at one time can be doubled).
Specifically, as shown in fig. 5, when the rotating shelf unit 501 rotates the located shelf 502 to the automatic door unit 503, the corresponding automatic door is opened, and the electronic display unit 504 corresponding to the automatic door outputs the allocation information of the unit container 506 on the offline picking cache crossing 505 and the unit container 508 on the online picking cache crossing 507 of the item on the located shelf 502, that is, the item and the number of the picking order corresponding to the offline and online picking cache crossings corresponding to the currently located shelf.
Here, the rotary shelf unit 501 may include a rotary shelf frame, a shelf, a driving motor, a transmission protective net, and the like, wherein the shelf is fixed on the transmission, and the driving motor drives the transmission, thereby realizing the integral rotation of the shelf. The goods shelf comprises a plurality of laminates, the laminates divide the goods shelf into a plurality of layers for storage, and each layer of laminate is provided with a plurality of storage positions for storage of different commodities.
In addition, the electronic display unit 504 can also display logistics attribute information (commodity name, number of shelves, specification model, commodity code, etc.) of all commodities on the located shelves, and corresponding shelf layer number, storage location information, etc.
The picker 509 may place items on shelves positioned according to the allocation information displayed by the electronic display unit 504 (which may be disposed proximate to the automated gate) into corresponding unit receptacles at off-line, on-line pick buffer gates (a pick may require the items at multiple on-line and off-line pick buffer gates).
The electronic display unit 504 may also perform corresponding goods picking confirmation, and after the completion of the above operations to the goods to be picked in all storage positions of the shelf located above, the automatic door is automatically closed, and the rotary shelf unit automatically rotates to other shelf located above for subsequent picking.
Further, the electronic display unit 504 may also output an indication of completion of picking after confirming completion of picking of the unit containers corresponding to the offline picking buffer crossing to prompt the picker 509 to drop the unit containers 506 on the offline picking buffer crossing 505 to the online unit container conveyor line 510 for subsequent processing.
It should be pointed out that, with the goods to people sorting device position based on living bright cold chain, goods to people sorting device can also include a plurality of heat preservation walls, a plurality of air curtains, conveying unit etc. rotatory goods shelves unit sets up in the freezing district, conveying unit and electronic display unit can set up in the operation room that comprises heat preservation wall, air curtain and automatically-controlled door unit, the operation room temperature is comfortable relatively, operating personnel carries out the relevant operation that the commodity put on the shelf was put in storage under this comfortable ambient temperature, very big improvement personnel operational environment.
In some alternatives of this embodiment, the goods-to-person picking apparatus further comprises: and the first scanner is used for scanning the identification code of the on-line empty unit container and sending the identification code to the second processor so that the second processor can acquire second registration information of the on-line empty unit container corresponding to the non-excess task list.
In some optional manners of this embodiment, the goods-to-person sorting device further includes a conveying line and a second scanner, and the second processor is further configured to receive the identification code sent by the second scanner, determine whether the task sheet corresponding to the identification code needs to be subjected to manual relay sorting, and send the determination result to the conveying line; the conveying line is connected with the online picking cache road junction and used for conveying unit containers, the unit containers comprise online unit containers which are picked completely and offline unit containers which are picked completely, the judging result sent by the second processor is received, the unit containers corresponding to the identification codes are conveyed to a manual relay picking area in response to the fact that the identification result is determined to be that manual relay picking is needed, and the unit containers corresponding to the identification codes are conveyed to a non-manual relay picking area in response to the fact that the identification result is determined to be that the manual relay picking is not needed to be conducted so as to conduct follow-up operation; and the second scanner is used for scanning the identification codes of the unit containers on the conveying line and sending the identification codes to the second processor.
In some optional manners of this embodiment, the goods-to-person sorting apparatus further includes an electronic tag unit disposed on the in-line sorting buffer crossing, and the second processor is further configured to, in response to receiving indication information that the rotation transmitted by the rotating shelf unit is completed, transmit allocation information of the unit containers on the in-line buffer crossing of the goods of the located shelf on the corresponding line of the electronic tag unit to the electronic tag unit, receive and display the allocation information transmitted by the second processor, and control the indicator light to light up.
In this implementation, the electronic tag system may be disposed at a barcode groove on a side of the on-line sorting cache road junction, and the electronic tag system corresponds to the on-line sorting cache road junction one to one. The electronic label system displays after receiving the distribution information sent by the second processor, and controls the indicator light to light up to prompt the picking personnel to place the commodities into the corresponding unit container, and after the picking personnel complete commodity placement, the picking personnel can press the button of the electronic label system of the corresponding unit container to confirm the completion of picking of the commodities and the quantity corresponding to the on-line picking cache road junction.
After all picking tasks of the on-line unit containers corresponding to the on-line picking cache road junction are completed, the on-line picking cache road junction automatically enters the conveying line unit for subsequent processing.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 6 is a block diagram of an electronic device of an order picking method according to an embodiment of the present application.
600 is a block diagram of an electronic device for an order picking method according to an embodiment of the application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 6, the electronic apparatus includes: one or more processors 601, memory 602, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 6, one processor 601 is taken as an example.
The memory 602 is a non-transitory computer readable storage medium as provided herein. Wherein the memory stores instructions executable by at least one processor to cause the at least one processor to perform the order picking method provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the order picking method provided herein.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of the electronic device for order picking, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 602 may optionally include memory located remotely from processor 601, which may be connected to the order picking electronics over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the order picking method may further include: an input device 603 and an output device 604. The processor 601, the memory 602, the input device 603 and the output device 604 may be connected by a bus or other means, and fig. 6 illustrates the connection by a bus as an example.
The input device 603 may receive input numeric or character information, such as an input device like a touch screen, keypad, mouse, track pad, touch pad, pointer, one or more mouse buttons, track ball, joystick, etc. The output devices 604 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the order processing time is effectively saved, and the timeliness of order processing is guaranteed.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (14)
1. A method of order picking, the method comprising:
responding to the current-time task list to be delivered, and calculating the required capacity of the goods-to-person picking device based on the information of the task list to be delivered;
calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave number;
and in response to the fact that the required capacity is larger than the residual capacity, carrying out offline picking on excess task sheets, wherein the excess task sheets are used for indicating the task sheets in the to-be-delivered task sheets corresponding to the difference value of the required capacity and the residual capacity.
2. The method of claim 1, wherein said picking excess orders off-line comprises
Acquiring first registration information of each offline empty unit container corresponding to an excess task order, wherein the offline empty unit containers correspond to the task orders one by one, the first registration information is used for indicating an identification code of the offline empty unit container, an identification code of an offline sorting cache crossing for placing the offline empty unit container and information of the task order corresponding to the offline sorting cache crossing, and the identification code of the offline sorting cache crossing corresponds to the identification code of the online sorting cache crossing;
and sending the first registration information to a goods-to-person picking device so that the goods-to-person picking device can synchronously pick excess task sheets and non-excess task sheets based on the first registration information, wherein the non-excess task sheets are used for indicating the task sheets except the excess task sheets in the task sheets to be delivered out of the warehouse.
3. The method of claim 1, wherein the information of the to-be-ex-warehouse job ticket comprises at least one of: the system comprises the information of the quantity of commodities corresponding to the to-be-delivered task order, the information of the storage positions of the commodities corresponding to the to-be-delivered task order and the information of the quantity of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the to-be-delivered task order.
4. The method of claim 3, wherein the information of the to-be-ex-warehouse task order comprises: the quantity information of the commodities corresponding to the to-be-ex-warehouse task order, the storage position information of the commodities corresponding to the to-be-ex-warehouse task order, and the quantity information of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the to-be-ex-warehouse task order include: the category total number and the number of pieces total number of the commodities corresponding to the task list to be delivered from the warehouse are determined, and the position storage information of the commodities corresponding to the task list to be delivered from the warehouse comprises: the storage position number and the shelf number corresponding to the commodities corresponding to the task order to be delivered from the warehouse are as follows, and the quantity information of the commodities needing to be subjected to manual relay picking in the commodities corresponding to the task order to be delivered from the warehouse comprises: the method comprises the following steps of calculating the total number of types and the total number of pieces of commodities needing to be subjected to manual relay picking in commodities corresponding to the to-be-delivered task list, and calculating the required capacity of a required goods-to-person picking device based on information of the to-be-delivered task list, and comprises the following steps:
and calculating the required capacity of the goods-to-person picking device based on the type total quantity and the number total quantity of the goods corresponding to the task list to be delivered, the storage position quantity and the shelf quantity corresponding to the goods corresponding to the task list to be delivered, and the type total quantity and the number total quantity of the goods which need to be subjected to manual relay picking in the goods corresponding to the task list to be delivered.
5. The method of any one of claims 1 to 4, wherein the calculating the remaining capacity of the goods-to-person picking device corresponding to the current time comprises:
and calculating the remaining capacity of the goods-to-person picking device corresponding to the current wave time based on the current system time, the order cutting time corresponding to the current wave time and the picking delivery efficiency of the goods-to-person picking device.
6. The method of claim 1, further comprising:
and in response to determining that the required capacity is less than or equal to the residual capacity, performing online picking on the to-be-delivered task list through a goods-to-people picking device.
7. An order picking system, the system comprising a first processor for performing the method of any of claims 1-6.
8. The system of claim 7, further comprising an item-to-person picking device, and the item-to-person picking device is configured to receive the first registration information sent by the processor and to pick excess order sheets synchronously with non-excess order sheets based on the first registration information.
9. The system of claim 8, wherein the item-to-person picking device comprises: a second processor, a rotary shelf unit, an automatic door unit and an electronic display unit, an
The second processor is used for acquiring second registration information of the online empty unit container corresponding to the non-excess task order, performing shelf positioning based on the first registration information and the second registration information in response to receiving first registration information of the offline empty unit container corresponding to the excess task order to obtain positioned shelf information, sending the positioned shelf information to the rotary shelf unit to enable the shelf rotatably positioned by the shelf rotating unit to reach the automatic door, sending an opening instruction to the automatic door unit in response to receiving indication information of completion of rotation sent by the rotary shelf unit, and sending distribution information of the unit containers on the online offline sorting cache crossing and the unit containers on the online sorting cache crossing for commodities on the positioned shelf to the electronic display unit;
the rotating shelf unit is used for rotating the positioned shelf to the automatic door in response to receiving the positioned shelf information sent by the second processor, and sending rotating completion indication information to the second processor after the rotation is completed;
the automatic door unit is used for responding to the received opening instruction sent by the second processor and opening the automatic door;
and the electronic display unit is used for receiving the distribution information sent by the second processor and displaying the distribution information.
10. The system of claim 9, wherein the person-to-person picking device further comprises a first scanner, and
and the first scanner is used for scanning the identification code of the on-line empty unit container and sending the identification code to the second processor so that the second processor can acquire second registration information of the on-line empty unit container corresponding to the non-excess task list.
11. The system of claim 9, wherein the item-to-person picking apparatus further comprises a conveyor line and a second scanner, and
the second processor is further used for receiving the identification code sent by the second scanner, judging whether the task list corresponding to the identification code needs to be subjected to manual relay picking or not and sending the judgment result to the conveying line;
the conveying line is connected with the online picking cache road junction and used for conveying unit containers, the unit containers comprise online unit containers which are picked and offline unit containers which are picked, the judgment result sent by the second processor is received, the unit containers corresponding to the identification codes are conveyed to a manual relay picking area in response to the fact that the identification result is determined to be that manual relay picking is needed, and the unit containers corresponding to the identification codes are conveyed to a non-manual relay picking area in response to the fact that the identification result is determined to be that the manual relay picking is not needed to be conducted so as to conduct follow-up operation;
and the second scanner is used for scanning the identification codes of the unit containers on the conveying line and sending the identification codes to the second processor.
12. The system of claim 9, wherein the person-to-person picking device further comprises an electronic tag unit disposed on the online pick buffer crossing, and
the second processor is further used for responding to the received indication information of the completion of the rotation sent by the rotating shelf unit, and sending the distribution information of the unit containers on the cache road junction of the goods on the positioned shelf on the line corresponding to the electronic label unit
And the electronic tag unit is used for receiving and displaying the distribution information sent by the second processor and controlling the indicator light to be turned on.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory is stored with instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
14. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6.
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| CN202110333376.4A CN113052655B (en) | 2021-03-29 | Order picking method and system |
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| CN202110333376.4A CN113052655B (en) | 2021-03-29 | Order picking method and system |
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| CN113052655A true CN113052655A (en) | 2021-06-29 |
| CN113052655B CN113052655B (en) | 2024-07-16 |
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