KR102629431B1 - Apparatus and method for classifying goods by invoice through location matching - Google Patents

Abstract

A device and method for classifying products by invoice through location matching are provided. The method includes assigning an invoice to each of a plurality of order information collected from a plurality of shopping malls, setting the number of locations for product storage, matching the plurality of invoices with the plurality of locations, and It includes the step of confirming the location matched to the invoice of each product through barcode scanning, and the step of classifying and completing invoices in which all products included in each of the plurality of invoices are inserted into the matched location.

Description

Apparatus and method for classifying products by invoice through location matching {APPARATUS AND METHOD FOR CLASSIFYING GOODS BY INVOICE THROUGH LOCATION MATCHING}

This disclosure relates to an apparatus and method for classifying products by invoice through location matching.

A warehouse management system (WMS) is a system that integrates and manages the entire process from the moment a product is received at a logistics center to the moment it is shipped.

In a warehouse management system, the task of classifying goods according to invoice can be said to be a core task that is directly related to user service satisfaction. However, in this sorting process, there is a high risk of misdelivery due to misclassification because the worker checks the information with the naked eye, and there is a problem that the time to sort the products by invoice increases when there are many products that must be packaged by invoice.

Therefore, a system is needed to quickly and accurately classify products.

Korean Patent Publication No. 10-2003-0004739, 2003.01.15.

The purpose of the embodiment disclosed in this disclosure is to provide an apparatus and method for classifying products by invoice through location matching.

The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

A method of classifying products by invoice through location matching according to an aspect of the present disclosure for achieving the above-described technical problem includes the steps of assigning an invoice to each of a plurality of order information collected from a plurality of shopping malls, and the number of locations for product storage. Setting a step, matching the plurality of invoices with the plurality of locations, checking the location matched to the invoice of each product through barcode scanning on a product basis, and matching the location to each of the plurality of invoices. Comprising the step of completing classification processing for invoices in which all products included in each are input, and when a plurality of products are included in one invoice, at least two of the plurality of products are classified by different workers. It can be.

In addition, in the invoice granting step, the plurality of order information is grouped into a plurality of groups according to delivery area, the plurality of groups are arranged in order based on a preset standard, and the plurality of order information included in each group is grouped into a plurality of groups according to delivery area. The same product combinations may be sorted and invoices may be assigned to the sorted plurality of order information in order.

Additionally, in the step of setting the number of locations, the number may be set based on the size of the distribution center and order trends during a preset period.

In addition, in the location matching step, when the number of invoices is greater than the number of locations, a work order corresponding to the number of invoices divided by the number of locations is generated, and each work order is performed at one location. A single invoice can be matched.

Additionally, when all of the plurality of invoices included in the current order are classified and processed, the classification operation may be performed on the plurality of invoices included in the next order of the current order.

In addition, the method may further include providing a UI (User Interface) through which the progress of the classification task can be checked based on the classification completion process to the worker's terminal.

In addition, the UI includes classification status by invoice, classification status by product, location configuration, number by location, invoice number matched by location, number of products to be input by location, and number of products input compared to the number of products to be input by location. Can include numbers.

Additionally, the location configuration included in the UI and the location configuration installed in the distribution center may have the same number of rows, number of columns, and arrangement order.

In addition, an invoice-specific product classification device through location matching according to another aspect of the present disclosure for achieving the above-described technical problem assigns an invoice to each of a plurality of order information collected from the communication department and a plurality of shopping malls, and provides an invoice for product storage. Set the number of locations, match the plurality of invoices with the plurality of locations, check the location matched to the invoice of each product through barcode scanning on a product basis, and select the location matched to each of the plurality of invoices. and a processor that completes the classification process for invoices in which all products included in each are input, and when a plurality of products are included in one invoice, at least two of the plurality of products are classified by different workers. It can be.

In addition to this, a computer program stored in a computer-readable recording medium for executing the method for implementing the present disclosure may be further provided.

In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.

According to the means for solving the above-described problem of the present disclosure, by matching one invoice to one location for each work order and performing a classification operation on a product basis rather than an invoice basis, when all products allocated to a specific location are input, they are stored in a specific location. It can be determined that the classification task for the matched invoice has been completed. As a result, product classification work can be performed more quickly and accurately, and further, the misdelivery rate due to misclassification can be reduced and user satisfaction can be increased.

Additionally, workers can check the progress of the current classification task in real time through their terminal.

Additionally, because the classification work is performed on a product basis, multiple workers can simultaneously perform the classification work on one invoice for each product, enabling more efficient work.

The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description below.

1 is a diagram illustrating a system for providing a product classification service for each invoice through location matching according to an embodiment of the present disclosure.
Figure 2 is a block diagram of a device for classifying products by invoice through location matching according to an embodiment of the present disclosure.
Figure 3 is a flowchart of a method for classifying products by invoice through location matching according to an embodiment of the present disclosure.
4A and 4B are diagrams for explaining an invoice sorting method according to an embodiment of the present disclosure.
Figure 5 is a diagram for explaining the creation of a work order according to the number of invoices and the number of locations according to an embodiment of the present disclosure.
Figure 6 is a diagram for illustrating classification of a plurality of invoices into product units according to an embodiment of the present disclosure.
FIG. 7 is a diagram illustrating providing location information where the product should be input on a product basis according to an embodiment of the present disclosure.
FIGS. 8A and 8B are diagrams for explaining information displayed on the screen of a worker terminal through barcode scanning according to an embodiment of the present disclosure.
Figure 9 is a diagram for explaining a UI that can monitor the status of classification work by order displayed on the screen of a worker terminal according to an embodiment of the present disclosure.

Like reference numerals refer to like elements throughout this disclosure. The present disclosure does not describe all elements of the embodiments, and general content or overlapping content between the embodiments in the technical field to which the present disclosure pertains is omitted. The term 'unit, module, member, block' used in the specification may be implemented as software or hardware, and depending on the embodiment, a plurality of 'unit, module, member, block' may be implemented as a single component, or It is also possible for one 'part, module, member, or block' to include multiple components. Throughout the specification, when a part is said to be “connected” to another part, this includes not only direct connection but also indirect connection, and indirect connection includes connection through a wireless communication network. do.

Additionally, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components, unless specifically stated to the contrary.

Throughout the specification, when a member is said to be located “on” another member, this includes not only cases where a member is in contact with another member, but also cases where another member exists between the two members.

Terms such as first and second are used to distinguish one component from another component, and the components are not limited by the above-mentioned terms.

Singular expressions include plural expressions unless the context clearly makes an exception.

The identification code for each step is used for convenience of explanation. The identification code does not explain the order of each step, and each step may be performed differently from the specified order unless a specific order is clearly stated in the context. there is.

Hereinafter, the operating principle and embodiments of the present disclosure will be described with reference to the attached drawings.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

Prior to explanation, the meaning of terms used in this specification will be briefly explained. However, since the explanation of terms is intended to aid understanding of the present specification, it should be noted that if it is not explicitly described as limiting the present disclosure, it is not used in the sense of limiting the technical idea of the present disclosure.

In this specification, “device” includes all various devices that can perform computational processing and provide results to the user. For example, the device may include all of a computer, a server device, and a portable terminal, or may be in the form of any one.

Here, the computer may include, for example, a laptop, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

The server device is a server that processes information by communicating with external devices, and may include an application server, computing server, database server, file server, game server, mail server, proxy server, and web server.

The portable terminal is, for example, a wireless communication device that guarantees portability and mobility, such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), and PDA. (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, smart phone ), all types of handheld wireless communication devices, and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted-device (HMD). may include.

This disclosure relates to a system that allows work to be performed more quickly and accurately in relation to product classification work (packing work) during the process of a distribution center. The contents described below are related to the environment when performing product sorting work (packing work). It can be based on . In this disclosure, operations other than the product sorting operation (packing operation) can be understood from known information about the warehouse management system (WMS) even without specific explanation.

1 is a diagram illustrating a system for providing a product classification service for each invoice through location matching according to an embodiment of the present disclosure.

Referring to FIG. 1, a system (hereinafter referred to as system) for providing a product classification service for each invoice through location matching according to an embodiment may include a service server 10 and a worker terminal 20. However, in some embodiments, the system may include fewer or more components than those shown in FIG. 1.

The service server 10 may be a server device of a company that provides a product classification service by invoice through location matching in a warehouse management system (WMS). In addition, the service server 10 can provide a service that manages the entire process performed in a warehouse management system (WMS).

When the service server 10 receives scan information about a product from the worker terminal 20, it provides the location number where the product should be inserted and the invoice number matched to the location to the worker terminal 20 so that the worker can purchase the product. Ensures accurate injection into the designated location.

The service server 10 may process the classification task for the invoice matched to the location as being completed when all products to be input to the location are input.

The worker terminal 20 may be a terminal device of a worker performing a product sorting task at a distribution center. However, it is not limited to this, and the worker can perform work on the entire process performed in the warehouse management system (WMS) through the worker terminal 20.

The worker terminal 20 may be provided with information necessary for product classification and may be installed with a service program including a smart phone application or mobile web capable of checking the progress of the product classification task. Workers can use all services provided by the service server 10 through the service program.

The worker terminal 20 may be an information processing means such as a computer, and may include a processor such as a control unit, a photographing means such as a camera, an input/output means including a touch screen, and may mean any device including a communication function. . In other words, it can be applied to any device such as a smartphone, tablet, PDA, laptop, desktop, etc.

Referring to FIG. 1, when a worker scans the barcode of a product through the worker terminal 20, scan information is transmitted to the service server 10, and the service server 10 scans the product containing the product based on the scan information. The location where the invoice is matched is confirmed, and location information (location number) is provided to the worker terminal 20. The worker can check the location information and invoice information (location number and invoice number) displayed on the worker terminal 20 and put the product in question at the designated location.

Figure 2 is a block diagram of a device for classifying products by invoice through location matching according to an embodiment of the present disclosure.

Referring to FIG. 2, a product classification device 100 for each invoice through location matching (hereinafter referred to as a product classification device) may include a communication unit 110, a memory 120, and a processor 130. The processor 130 may include an invoice management module 131, a location management module 132, a classification task management module 133, and a UI management module 134. However, in some embodiments, the product classification device 100 and the processor 130 may include fewer or more components than the components shown in FIG. 2 . The product classification device 100 to be described with reference to FIG. 2 may be the service server 10 described above with reference to FIG. 1 .

The communication unit 110 is wireless or wired between the product sorting device 100 and the worker terminal 20, between the product sorting device 100 and an external device (not shown), and between the product sorting device 100 and a communication network. It may contain one or more modules that enable communication. For example, it may include at least one of a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

Various types of communication networks can be used, for example, wireless communication methods such as WLAN (Wireless LAN), Wi-Fi, Wibro, Wimax, and HSDPA (High Speed Downlink Packet Access). Alternatively, wired communication methods such as Ethernet, xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coax), FTTC (Fiber to The Curb), and FTTH (Fiber To The Home) may be used.

Meanwhile, the communication network is not limited to the communication methods presented above, and may include all types of communication methods that are widely known or will be developed in the future in addition to the communication methods described above.

Wired communication modules include various wired communication modules such as Local Area Network (LAN) modules, Wide Area Network (WAN) modules, or Value Added Network (VAN) modules, as well as USB (Universal Serial Bus) modules. ), HDMI (High Definition Multimedia Interface), DVI (Digital Visual Interface), RS-232 (recommended standard 232), power line communication, or POTS (plain old telephone service).

In addition to Wi-Fi modules and WiBro (Wireless broadband) modules, wireless communication modules include GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), and UMTS (universal mobile telecommunications system). ), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, 6G, etc. may include a wireless communication module that supports various wireless communication methods.

The short-range communication module is for short-range communication and includes Bluetooth™, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, and NFC (Near Field). Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technology can be used to support short-distance communication.

The memory 120 may store at least one process for providing a product classification service for each invoice through location matching.

The memory 120 can store data supporting various functions of the product classification device 100 and a program for the operation of the processor 130, and input/output data (e.g., music files, images, videos, etc.), a number of applications (application programs or applications) running on the original model compression device 100, data and commands for the operation of the product classification device 100. You can save them. At least some of these applications may be downloaded from an external server via wireless communication.

The memory 120 includes a flash memory type, a hard disk type, a solid state disk type, an SDD type (Silicon Disk Drive type), and a multimedia card micro type. micro type), card type memory (e.g. SD or XD memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), EEPROM (electrically erasable) It may include at least one type of storage medium among programmable read-only memory (PROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk. In addition, the memory 120 is separate from the product classification device 100, but may be a database connected by wire or wirelessly.

The processor 130 may perform the above-described operations using a memory that stores data for an algorithm for controlling the operation of components within the product sorting device 100 or a program that reproduces the algorithm, and the data stored in the memory. You can. At this time, the memory and processor 130 may each be implemented as separate chips. Alternatively, the memory and processor 130 may be implemented as a single chip.

The invoice management module 131 of the processor 130 is a module that performs invoice-related operations. Specifically, the invoice management module 131 may perform the operation of sorting the collected order information according to preset standards and assigning an invoice to the sorted order information.

The location management module 132 of the processor 130 is a module that performs operations related to the location within the distribution center. Specifically, the location management module 132 may perform operations such as setting the number of locations, setting location numbers, and matching invoices to locations for each work order.

The classification task management module 133 of the processor 130 is a module that performs operations related to the classification task of products. Specifically, when the product scan information is received from the user terminal 20, the classification task management module 133 provides the location number and invoice number to the user terminal 20 so that the worker can classify the product. there is. Additionally, the classification task management module 133 may process the classification task for the invoice matched to the location as being completed when all products included in the corresponding invoice are input to the location.

The UI management module 134 of the processor 130 is a module that performs operations related to the UI displayed on the screen of the user terminal 20. Specifically, the UI management module 134 may update the current order and progress of the classification task at the current time in real time and display them on the screen.

In addition, the processor 130 combines any one or a plurality of the above-described components to implement various embodiments according to the present disclosure described in FIGS. 3 to 9 below on the product classification device 100. You can control it.

Hereinafter, a method for classifying products will be described in detail with reference to FIGS. 3 to 9.

Figure 3 is a flowchart of a method for classifying products by invoice through location matching according to an embodiment of the present disclosure.

4A and 4B are diagrams for explaining an invoice sorting method according to an embodiment of the present disclosure.

Figure 5 is a diagram for explaining the creation of a work order according to the number of invoices and the number of locations according to an embodiment of the present disclosure.

Figure 6 is a diagram for illustrating classification of a plurality of invoices into product units according to an embodiment of the present disclosure.

FIG. 7 is a diagram illustrating providing location information where the product should be input on a product basis according to an embodiment of the present disclosure.

FIGS. 8A and 8B are diagrams for explaining information displayed on the screen of a worker terminal through barcode scanning according to an embodiment of the present disclosure.

Figure 9 is a diagram for explaining a UI that can monitor the status of classification work by order displayed on the screen of a worker terminal according to an embodiment of the present disclosure.

The method of FIG. 3 may be performed by the product classification device 100 disclosed in FIG. 2, but is not limited thereto and may be performed by the service server 10 disclosed in FIG. 1, or may be performed by another external device. It may be possible.

In addition, below, for convenience of explanation, each step is described as being performed by the processor 130, but each step is performed by the invoice management module 131, location management module 132, and classification task management included in the processor 130. It may be understood that it is performed by any one of the module 133, the UI management module 134, and modules not shown in FIG. 2.

Referring to FIG. 3, the processor 130 of the product classification device 100 may assign an invoice to each of a plurality of order information collected from a plurality of shopping malls (S310).

Here, the shopping mall may refer to an online shopping mall or an offline store that uses the service provided by the product classification device 100 (service server 10) without limitation to the product line.

Depending on the embodiment, the processor 130 may group a plurality of order information received from each shopping mall into a plurality of groups according to delivery area, and sort the grouped groups in order based on a preset standard. Additionally, invoices can be assigned to multiple sorted order information in order.

Specifically, the processor 130 may group the same delivery areas into a plurality of groups and sort the plurality of groups in order of proximity to the delivery area based on the distribution center. However, it is not limited to this, and various sorting methods such as alphabetical order can be applied.

At this time, order information included in the same group may be sorted in order of earliest order time.

Referring to Figure 4a, among the plurality of order information (A, B, C, D, E, F...) collected through API in the shopping mall, orders A, C, D whose delivery area is XX are group 1, and the delivery area is OO. Poet orders B, E and F are grouped into group 2. Groups are sorted in order of closer proximity to the distribution center (Group 1 → Group 2), and orders within each group are sorted in order of fastest order time (Order A → Order C → Order D, Order B → Order E → Order F). do. Each ordered order is given one invoice.

According to an embodiment, the processor 130 groups a plurality of order information received from each shopping mall into a plurality of groups according to delivery area, sorts the grouped plurality groups in order based on a preset standard, and groups each group. The plurality of order information included in can be sorted by the same product combination, and invoices can be assigned to the sorted plurality of order information in order.

Referring to Figure 4b, among the plurality of order information (A, B, C, D, E, F...) collected through API in the shopping mall, orders A, C, D, F with delivery area at XX are group 1, delivery area. These OO poems, spells B and E, are grouped into group 2. Groups are sorted in order of proximity to the distribution center (Group 1 → Group 2). In addition, the orders in Group 1 are classified into the same product combinations: Orders A and C (Product 1 and Product 2), Order D and Order F (Product 1 and Product 3), and ordered in order of fastest order time (Order A → Order C). → Order D, Order B → Order F). Each ordered order is given one invoice.

Referring to FIG. 3, the processor 130 of the product sorting device 100 can set the number of locations for product storage (S320).

Here, the location may refer to a cell that matches the invoice and stores the products included in the invoice. The number of locations may refer to the number of orders (invoices) that can be processed by one or more workers during one work cycle.

The processor 130 may set the number based on the size of the distribution center and order trends during a preset period. For example, the number can be increased depending on the order growth rate over 3 months. Conversely, the number can be reduced depending on the order decline rate over the past 3 months.

Specifically, the processor 130 can set the number of locations within the distribution center according to the size of space available at the current time and order trends. At this time, the processor 130 can set the number of rows and columns of the location, respectively.

Depending on the embodiment, the number of locations may be set differently for each floor depending on the size of each floor of the distribution center.

When locations are created according to the set number, the processor 130 can sequentially assign numbers to the created locations.

Although it has been described above that the processor 130 sets the number, it is not limited to this and may be set by the operator depending on the embodiment.

Referring to FIG. 3, the processor 130 of the product classification device 100 may match the plurality of invoices and the plurality of locations (S330).

The processor 130 may match one invoice to one location in the order of the location number and the invoice number. Accordingly, only products included in the invoice matched to that location can be put into a specific location.

At this time, if the number of invoices (number of orders) is greater than the number of locations, the processor 130 generates a work order corresponding to the number of invoices divided by the number of locations, and one work order for each work order. You can match one invoice to a location.

Referring to FIG. 5, when the number of locations is 50 and the number of invoices is 150, 3 work orders are created. Specifically, invoices 1 to 50 are matched to locations 1-1 to 5-10 and worked at the first level, invoices 51 to 100 are matched to locations 1-1 to 5-10 and worked at the second level, and invoices 101 to 150 are matched to locations 1-1 to 5-10, respectively, and are worked on in order 3.

At this time, the next order of work can begin only when all of the previous order of work is completed. In other words, the classification process for invoices 1 to 50 of the first round must be completed before moving on to the second round.

In the present disclosure, the classification operation is not performed on an invoice basis but on a product basis. That is, the first batch of 50 invoices (invoices 1 to 50) can be classified into product units. Accordingly, products are put into each location on a product-by-product basis, and when all products are completed at each location, the process moves on to the next round, the second round.

Referring to FIG. 6, when three invoices are included in the first order, if they are classified by product, they can be classified as product 1, product 2, product 3, and product 4. Product 1 is included in invoices 1 and 2, Product 2 is included in invoices 1 and 3, Product 3 is included in invoice 2, and Product 4 is included in invoice 3.

Accordingly, product 1 is inputted in each quantity into locations 1 and 2 that match invoices 1 and 2 for product 1, respectively, and products are placed in each quantity into locations 1 and 3 that match invoices 1 and 3 for product 2, respectively. 2 can be put in, product 3 can be put in according to the quantity in location 2 that matches invoice 2 for product 3, and product 4 can be put in according to the quantity in location 3 that matches invoice 3 for product 4. Detailed description will be made with reference to step S340.

Referring to FIG. 3, the processor 130 of the product classification device 100 can check the location matched to the invoice of each product through scanning on a product basis (S340). That is, when the worker performs a barcode scan on a product basis through the worker terminal 20, the processor 130 can confirm the location matched to the invoice of the product based on the scan information received from the worker terminal 20. .

The processor 130 may transmit information on the confirmed location, invoice information matched thereto, and the quantity of the corresponding product to the worker terminal 20. The worker checks the location information through the worker terminal 20 and performs the task of inserting the quantity of products into the corresponding location.

Referring to FIG. 7, when a worker scans the barcode of product 1, the processor 130 may provide the worker terminal 20 with information on the invoice containing product 1 and information on the location matched thereto.

Specifically, the processor 130 displays the above information on the screen of the worker terminal 20. At this time, information on invoice 1 and location 1-1 is displayed on screen 1, and information on invoice 3 and location 1-3 is displayed on screen 1. It can be displayed on screen 2. The operator checks screen 1 to place product 1 in location 1-1 in the indicated quantity (e.g., 2 units), and checks screen 2 to place product 1 in location 1-3 in the indicated quantity (e.g., 2 units). 1) can be put in.

In the above, it has been explained that one worker performs the task of inserting products into location 1-1 and location 1-3 for product 1, but this is not limited to this, and depending on the embodiment, multiple workers are installed for each invoice for product 1. Workers may perform the task of inserting products into each location. That is, the invoice information and location information for product 1 are each transmitted to the plurality of worker terminals 20, so that the plurality of workers can each put product 1 in different locations. For example, worker 1 may put product 1 in location 1-1 in the indicated quantity (e.g., 2 pieces), and worker 2 may put product 1 in location 1-3 in the indicated quantity (e.g., 2 pieces). 1) can be put in.

Hereinafter, the screen of the worker terminal 20 on which location information and invoice information is displayed will be described with reference to FIGS. 8A and 8B.

Referring to FIG. 8A, by scanning the barcode of a product on the worker terminal 20, scan information 81, product information 82, location number 84, invoice number 85, Product quantity information 86 may be displayed. The worker can check the screen, insert one product into location 2-1, and then select (touch) the sorting completion button (87).

Additionally, the worker can check how much product has been put into location 2-1 through the completion percentage display icon 83 on the corresponding screen. In other words, the invoice matched to location 2-1 includes a total of 4 products, but it can be seen that currently, no products have been put into location 2-1.

If the worker presses the sorting completion button (87) on the current screen, the completion percentage display icon (83) may be displayed as “1/4” on the screen of the worker terminal (20) to which the input task for the next product is assigned. there is.

Additionally, when the worker selects (touches) the skip button 88 on the screen, the screen of the worker terminal 20 may be switched as shown in FIG. 8B.

If the worker scans a specific product and is assigned the task of putting the product in location 2-1, but is unable to perform the assigned task for a specific reason, such as when the worker's current location is far from location 2-1, skip. You can select (touch) the button 88.

Processor 130 may provide the operator with different location numbers and invoice numbers for specific products. The worker can check the screen and insert two specific products into location 3-2. In this way, since the work is performed in the form of putting products into each location on a product basis, the worker selects the product classification task for the same product through the skip button 88 according to the distance between his current location and the location. This makes it possible to perform it.

Referring to FIG. 3, the processor 130 of the product classification device 100 may complete the classification process for invoices in which all products included in each of the plurality of invoices are entered into the locations matched to each (S350).

Referring to FIG. 7, product 1 and product 2 must be input (stored) in location 1-1. When worker 1 performs the task of putting product 1 into location 1-1 and worker 2 performs the task of putting product 2 into location 1-1, the processor 130 processes invoice 1 matched to location 1-1. It can be determined that the classification work has been completed.

In addition, when all of the plurality of invoices included in the current order are classified and processed, the processor 130 may perform the classification task on the plurality of invoices included in the next order of the current order.

Referring to FIG. 7, when all classification tasks for invoices 1 to 50 included in the first batch are completed (i.e., all products have been placed in locations 1-1 to 5-10), the processor 130 You can start a new classification process for invoices 51 to 100 included in the second round. At this time, the second task, like the first task, can be performed by scanning on a product basis.

Although not shown in FIG. 3, the present disclosure may further include the step of providing the worker terminal 20 with a UI (User Interface) through which the processor 130 can check the progress of the classification task based on the classification completion process. You can.

The UI displays the company name, date, current work order, number of invoices in the current work order, number of skews (SKUs) included in the invoice in the current work order, total quantity of products included in the invoice in the current work order, and number of invoices in the current work order. Progress status, classification status by invoice, classification status by skew, classification status by product, location configuration, number by location, invoice number matched by location, number of products to be input by location, and number of products to be input by location. Can include the number of input products.

Referring to FIG. 9, the location configuration 91 included in the UI may be displayed in the same number of rows, number of columns, and arrangement order as the location configuration installed in the actual distribution center. By configuring the location identically to the actual location configuration, workers can intuitively check the status of the classification task. That is, through the UI displayed on the screen of the worker terminal 20, the worker can check which location has currently been sorted and how many more products should be put into which location.

Figure 3 describes steps as being sequentially executed, but this is merely an illustrative explanation of the technical idea of this embodiment, and those skilled in the art will not deviate from the essential characteristics of this embodiment. Since the order described in FIG. 3 can be modified and applied in various ways by changing the order or executing in parallel, FIG. 3 is not limited to a time-series order.

Meanwhile, in the above description, the steps described in FIG. 3 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present disclosure. Additionally, some steps may be omitted or the order between steps may be changed as needed.

Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. Instructions may be stored in the form of program code, and when executed by a processor, may create program modules to perform operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

Computer-readable recording media include all types of recording media storing instructions that can be decoded by a computer. For example, there may be Read Only Memory (ROM), Random Access Memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage device, etc.

As described above, the disclosed embodiments have been described with reference to the attached drawings. A person skilled in the art to which this disclosure pertains will understand that the present disclosure may be practiced in forms different from the disclosed embodiments without changing the technical idea or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

10: Service server
20: worker terminal
100: Product sorting device
110: Department of Communications
120: memory
130: processor
131: Invoice management module
132: Location management module
133: Classification task management module
134: UI management module

Claims (10)

In a method performed by a device,
assigning an invoice to each of a plurality of order information collected from a plurality of shopping malls;
Setting the number of locations for product storage;
Matching a plurality of invoices and a plurality of locations;
Confirming the location matched to the invoice of each product by scanning the barcode on a product basis; and
Comprising: classifying and completing processing for invoices in which all products included in each of the plurality of invoices are inserted into the locations matched to each of the plurality of invoices,
When a plurality of products are included in one invoice, classification work is performed on at least two of the plurality of products by different workers,
The invoice granting step is,
Grouping the plurality of order information into a plurality of groups according to delivery area, sorting the plurality of groups in order based on preset criteria, and sorting the plurality of order information included in each group with the same product combination, A method of classifying products by invoice through location matching, wherein invoices are assigned in order to the plurality of ordered order information. delete According to paragraph 1,
The location number setting step is,
A method of classifying products by invoice through location matching, where the number is set based on the size of the distribution center and order trends over a preset period. According to paragraph 1,
The location matching step is,
When the number of invoices is greater than the number of locations, a location generates a work order corresponding to the number of invoices divided by the number of locations, and matches one invoice to one location for each work order. Method of product classification by invoice through matching. According to clause 4,
When the plurality of invoices included in the current order are all classified and processed, the classification operation is performed on the plurality of invoices included in the next order of the current order. A method of classifying products by invoice through location matching. According to paragraph 1,
A method of classifying products by invoice through location matching, further comprising providing a UI (User Interface) that can check the progress of the classification task based on the classification completion process to the worker's terminal. According to clause 6,
The UI includes classification status by invoice, classification status by product, location configuration, number by location, invoice number matched by location, number of products to be input by location, and number of products input compared to the number of products to be input by location. Including, a method of classifying products by invoice through location matching. In clause 7,
The location configuration included in the UI and the location configuration installed in the distribution center have the same number of rows, number of columns, and arrangement order. A method of classifying products by invoice through location matching. A program coupled to a computer and stored in a computer-readable recording medium to execute the method of any one of claims 1, 3 to 8. Ministry of Communications; and
Assign an invoice to each of multiple order information collected from multiple shopping malls, set the number of locations for product storage, match multiple invoices and multiple locations, and scan the barcode for each product to invoice each product. A processor that checks the matched location and classifies and completes the invoices in which all products included in each of the plurality of invoices are inserted into the matched location.
When a plurality of products are included in one invoice, classification work is performed on at least two of the plurality of products by different workers,
When granting the invoice, the processor:
Grouping the plurality of order information into a plurality of groups according to delivery area, sorting the plurality of groups in order based on preset criteria, and sorting the plurality of order information included in each group with the same product combination, A device for classifying products by invoice through location matching, which assigns invoices in order to the plurality of ordered order information.