KR102648207B1 - Method, apparatus and program for managing individual orders and production - Google Patents

Abstract

An individual order and production management method according to various embodiments of the present invention is disclosed. The method includes: receiving individual order information; generating production manual information based on the individual order information; generating production and delivery schedule information based on the parts list included in the production manual information; generating production request information based on the individual order information, production manual information, and schedule information; and transmitting the production request information to the production factory server.

Description

Individual order and production management methods, devices and programs {METHOD, APPARATUS AND PROGRAM FOR MANAGING INDIVIDUAL ORDERS AND PRODUCTION}

The present invention relates to an individual order and production management method, device, and program, and specifically to an individual order and production management method for one-stop processing from receiving an individual order from a user to production and delivery.

As the untact culture, such as working from home and online classes, has become established, the range of activities done at home has expanded to include not only relaxation but also work, study, and hobbies. As the time spent at home increases, the individual order market for furniture, home appliances, and accessories that occupy residential space is expanding.

In other words, in the recent manufacturing market, orders that mostly consisted of mass production of small varieties are changing to individual orders that require small quantity production of many varieties. It is becoming difficult to efficiently respond to individual orders using existing methods aimed at mass production.

In response to these market demands, the manufacturing market in various fields such as furniture, home appliances, clothing, and machinery is changing to a manufacturing method for small quantity production of various products.

Accordingly, there is a need in the industry for individual ordering and production management methods associated with high-mix, low-volume production. In this regard, Republic of Korea Patent Publication No. 10-2263308 discloses a production support system for custom products.

The present invention was created in response to the above-described background technology and is intended to provide individual order and production management methods, devices, and programs.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

According to an embodiment of the present invention for solving the problems described above, an individual order and production management method is disclosed. The method includes: receiving individual order information; generating production manual information based on the individual order information; generating production and delivery schedule information based on the parts list included in the production manual information; generating production request information based on the individual order information, production manual information, and schedule information; and transmitting the production request information to the production factory server.

In an alternative embodiment, the individual order information includes preset selection information associated with the ordered product, size information associated with the product, material information associated with the product, color information associated with the product, and orderer information, and the manufacturing The manual information may include information about the parts list, the part size mapped to each item of the parts list, and the quantity of parts mapped to each item of the parts list.

In an alternative embodiment, generating production manual information based on the individual order information includes generating a preview image of the product based on the preset selection information, the size information, the material information, and the color information. ; Obtaining object information about objects constituting the product included in the preview image; and generating the parts list based on the object information.

In an alternative embodiment, generating production and delivery schedule information based on a parts list included in the manufacturing manual information includes: a first production parts list associated with a previously ordered product and a second production parts list associated with a currently ordered product. Recognizing a production parts list; Recognizing inventory quantity information of parts included in each of the first production parts list and the second production parts list; and generating the schedule information based on the inventory quantity information.

In an alternative embodiment, the step of generating production request information based on the individual order information, the production manual, and the schedule information includes generating first label information attached to at least one of the parts included in the parts list. ; and generating second label information attached to the finished product of the ordered product, wherein the production request information includes the first label information and the second label information, and the first label information includes, It may include information related to production of the ordered product, and the second label information may include information related to delivery of the ordered product.

In an alternative embodiment, the method includes obtaining misproduction history information from the production plant server; and generating quality control information based on the misproduction history information and transmitting the quality control information to the production factory server, wherein the misproduction history information includes parts constituting a product for which production has been completed. It is generated by comparing the first label information attached to the second label information to be attached to the finished product, and the incorrect production history information includes information about defective parts and information about production defects, and the quality The management information may include information about strengthening quality verification for the defective parts and information about strengthening quality verification of the production stage related to the production defect.

In an alternative embodiment, receiving the individual order information includes providing a user interface for receiving the individual order information to a user terminal; and receiving the individual order information through the user interface, wherein the user interface includes a type selection area for the ordered product, a preset selection area with a minimum set value applied, a size input area, a material selection area, and a color selection. Can include areas.

In an alternative embodiment, receiving the individual order information includes generating first recommendation information recommending the material and the color for each preset grade of parts used to produce the ordered product; generating second recommendation information recommending the material and color for each payment amount of the ordered product; and providing the first recommendation information and the second recommendation information to the user terminal through the user interface.

In an alternative embodiment, receiving the individual order information includes obtaining an image of a space where the ordered product is to be installed from the user terminal; Recognizing the size of the space, the brightness of the space, the color of the space, and the shape of the space based on the image; generating third recommendation information recommending the size of the ordered product based on the size of the space; generating fourth recommendation information recommending a preset, material, and color of the ordered product based on the brightness of the space, the color of the space, and the shape of the space; and providing the third recommendation information and the fourth recommendation information to the user terminal through the user interface.

According to one embodiment of the present invention for solving the above-described problems, a device is disclosed. The device includes: a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, and the processor may perform the above-described methods by executing the one or more instructions.

According to an embodiment of the present invention for solving the above-described problem, a computer program is disclosed that is combined with a computer as hardware and stored in a computer-readable recording medium to perform the above-described methods.

Other specific details of the invention are included in the detailed description and drawings.

The present invention provides an individual order and production management method, device, and program to prevent misproduction of individually ordered products and further increase the efficiency of the individual order process.

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

1 is a diagram illustrating a system according to an embodiment of the present invention.
Figure 2 is a hardware configuration diagram of a server according to an embodiment of the present invention.
Figure 3 is a schematic diagram illustrating an individual order and production management method according to an embodiment of the present invention.
Figure 4 is a flowchart illustrating an example of an individual order and production management method according to an embodiment of the present invention.
5 and 6 are diagrams for explaining an example of a method for receiving individual order information according to an embodiment of the present invention.
Figure 7 is a diagram for explaining an example of a method for generating production manual information according to an embodiment of the present invention.
Figure 8 is a diagram for explaining another example of a method for generating production manual information according to an embodiment of the present invention.
Figure 9 is a flowchart illustrating an example of a method for generating schedule information according to an embodiment of the present invention.

Various embodiments are now described with reference to the drawings. In this specification, various descriptions are presented to provide an understanding of the invention. However, it is clear that these embodiments may be practiced without these specific descriptions.

As used herein, the terms “component,” “module,” “system,” and the like refer to a computer-related entity, hardware, firmware, software, a combination of software and hardware, or an implementation of software. For example, a component may be, but is not limited to, a process running on a processor, a processor, an object, a thread of execution, a program, and/or a computer. For example, both an application running on a computing device and the computing device can be a component. One or more components may reside within a processor and/or thread of execution. A component may be localized within one computer. A component may be distributed between two or more computers. Additionally, these components can execute from various computer-readable media having various data structures stored thereon. Components can transmit signals, for example, with one or more data packets (e.g., data and/or signals from one component interacting with other components in a local system, a distributed system, to other systems and over a network such as the Internet). Depending on the data being transmitted, they may communicate through local and/or remote processes.

Additionally, the term “or” is intended to mean an inclusive “or” and not an exclusive “or.” That is, unless otherwise specified or clear from context, “X utilizes A or B” is intended to mean one of the natural implicit substitutions. That is, either X uses A; X uses B; Or, if X uses both A and B, “X uses A or B” can apply to either of these cases. Additionally, the term “and/or” as used herein should be understood to refer to and include all possible combinations of one or more of the related listed items.

Additionally, the terms “comprise” and/or “comprising” should be understood to mean that the corresponding feature and/or element is present. However, the terms “comprise” and/or “comprising” should be understood as not excluding the presence or addition of one or more other features, elements and/or groups thereof. Additionally, unless otherwise specified or the context is clear to indicate a singular form, the singular terms herein and in the claims should generally be construed to mean “one or more.”

Those skilled in the art will additionally recognize that the various illustrative logical blocks, components, modules, circuits, means, logic, and algorithm steps described in connection with the embodiments disclosed herein may be implemented using electronic hardware, computer software, or a combination of both. It must be recognized that it can be implemented with To clearly illustrate the interchangeability of hardware and software, various illustrative components, blocks, configurations, means, logics, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented in hardware or software will depend on the specific application and design constraints imposed on the overall system. A skilled technician can implement the described functionality in a variety of ways for each specific application. However, such implementation decisions should not be construed as departing from the scope of the present invention.

The description of the presented embodiments is provided to enable anyone skilled in the art to use or practice the present invention. Various modifications to these embodiments will be apparent to those skilled in the art. The general principles defined herein may be applied to other embodiments without departing from the scope of the invention. Therefore, the present invention is not limited to the embodiments presented herein. The present invention is to be interpreted in the broadest scope consistent with the principles and novel features presented herein.

In this specification, a computer refers to all types of hardware devices including at least one processor, and depending on the embodiment, it may be understood as encompassing software configurations that operate on the hardware device. For example, a computer can be understood to include, but is not limited to, a smartphone, tablet PC, desktop, laptop, and user clients and applications running on each device.

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

Each step described in this specification is described as being performed by a computer, but the subject of each step is not limited thereto, and depending on the embodiment, at least part of each step may be performed in a different device.

1 is a diagram illustrating a system according to an embodiment of the present invention.

Referring to FIG. 1, a system according to an embodiment of the present invention may include a server 100, a terminal 200, and an external server 300. Here, the server 100 is a server that performs individual ordering and production management of the present invention, the user terminal 200 is an orderer's terminal that places an individual order, and the external server 300 is a production plant that produces individually ordered products. It may be a server, but is not limited to this.

The system shown in FIG. 1 is according to one embodiment, and its components are not limited to the embodiment shown in FIG. 1, and may be added, changed, or deleted as necessary.

In one embodiment, server 100 may perform individual ordering and production management processes.

Specifically, the server 100 may receive individual order information from the user terminal 200. Additionally, the server 100 may generate production manual information based on individual order information. Additionally, the server 100 may generate production and delivery schedule information based on the parts list included in the production manual information. Additionally, the server 100 may generate production request information based on individual order information, production manual information, and schedule information. Additionally, the server 100 may transmit production request information to the production factory server.

Accordingly, the server 100 of the present invention processes from receiving individual orders from users to production and delivery in one stop, preventing misproduction of individually ordered products and further increasing the efficiency of the individual ordering process.

Hereinafter, an example of how the server 100 performs individual order and production management processes will be described with reference to FIGS. 3 to 9.

In various embodiments, the server 100 may provide web- or application-based services. However, it is not limited to this.

Server 100 may include any type of computer system or computer device, such as, for example, microprocessors, mainframe computers, digital processors, portable devices, and device controllers. However, it is not limited to this.

Hereinafter, the hardware configuration of the server 100 will be described with reference to FIG. 2.

Meanwhile, the user terminal 200 may be connected to the server 100 through the network 400 and may be a user terminal that purchases individually orderable products provided by the server 100.

Here, the user terminal 200 may include, for example, various types of computer devices. For example, the user terminal 200 may refer to various terminal devices such as a smartphone, tablet PC, desktop, or laptop.

The user terminal 200 includes a display in at least a portion of the terminal, and may include an operating system for running an application or extension program-based service provided from the server 100. For example, the user terminal 200 may be a smartphone, but is not limited to this. The user terminal 200 is a wireless communication device that guarantees portability and mobility, and is a personal communication system (PCS). , GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, This includes all types of handheld-based wireless communication devices such as W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartpads, tablet PCs, etc. You can.

The external server 300 can be connected to the server 100 through the network 400, and can transmit and receive various information/data necessary for the server 100 to perform individual order and production management, and the server 100 It is possible to store and manage various information/data generated as individual orders and production management are performed.

For example, the external server 300 may be a database server that stores information used in individual order and production management. For another example, the external server 300 may be a server at a production plant that produces individually ordered products.

The network 400 may refer to a connection structure that allows information exchange between nodes such as a computing device, a plurality of terminals, and servers. For example, the network 400 includes a local area network (LAN), a wide area network (WAN), the World Wide Web (WWW), a wired and wireless data communication network, a telephone network, and a wired and wireless television communication network. do.

Wireless data communication networks include 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, and Internet. (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC (Near- Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc., but is not limited thereto.

Figure 2 is a hardware configuration diagram of a server according to an embodiment of the present invention.

Referring to FIG. 2, the server 100 according to an embodiment of the present invention includes one or more processors 110, a memory 120 that loads a computer program 151 executed by the processor 110, It may include a bus 130, a communication interface 140, and a storage 150 that stores a computer program 151. Here, only components related to the embodiment of the present invention are shown in Figure 2. Accordingly, anyone skilled in the art to which the present invention pertains will know that other general-purpose components may be included in addition to the components shown in FIG. 2.

The processor 110 controls the overall operation of each component of the server 100. The processor 110 may be composed of one or more cores, and may include a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), and a tensor processing unit (TPU) of the computing device. unit) may include a processor for data analysis and deep learning. Alternatively, it may be configured to include any type of processor well known in the art of the present invention.

Additionally, the processor 110 may perform operations on at least one application or program for executing methods according to embodiments of the present invention, and the server 100 may include one or more processors.

In various embodiments, the processor 110 includes random access memory (RAM) (not shown) and read memory (ROM) that temporarily and/or permanently store signals (or data) processed within the processor 110. -Only Memory, not shown) may be further included. Additionally, the processor 110 may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

Memory 120 stores various data, commands and/or information. Memory 120 may load a computer program 151 from storage 150 to execute methods/operations according to various embodiments of the present invention. When the computer program 151 is loaded into the memory 120, the processor 110 can perform the method/operation by executing one or more instructions constituting the computer program 151. The memory 120 may be implemented as a volatile memory such as RAM, but the technical scope of the present invention is not limited thereto.

The bus 130 provides communication functions between components of the server 100. The bus 130 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

The communication interface 140 supports wired and wireless Internet communication of the server 100. Additionally, the communication interface 140 may support various communication methods other than Internet communication. To this end, the communication interface 140 may be configured to include a communication module well known in the technical field of the present invention. In some embodiments, communication interface 140 may be omitted.

Storage 150 may store the computer program 151 non-temporarily. When performing a process according to an embodiment of the present invention through the server 100, the storage 150 may store various information necessary to perform analysis according to the disclosed embodiment.

The storage 150 is a non-volatile memory such as Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), flash memory, a hard disk, a removable disk, or a device well known in the technical field to which the present invention pertains. It may be configured to include any known type of computer-readable recording medium.

The computer program 151, when loaded into the memory 120, may include one or more instructions that cause the processor 110 to perform methods/operations according to various embodiments of the present invention. That is, the processor 110 can perform the method/operation according to various embodiments of the present invention by executing the one or more instructions.

In one embodiment, computer program 151 may include one or more instructions to perform various methods related to various tasks related to training a neural network model.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , may be implemented in a programming or scripting language such as Java, assembler, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Figure 3 is a schematic diagram illustrating an individual order and production management method according to an embodiment of the present invention.

According to the individual order and production management method of the present invention, everything from receiving an individual order from a user to production and delivery can be processed in one stop. Here, individually ordered products may include, for example, bed-related frames, mattresses, bedding, etc., but are not limited thereto.

Referring to FIG. 3, when individual order information for a bed is received from a user, the server 100 may generate production manual information corresponding to the individual order information. Additionally, the server 100 may transmit production manual information to the server of the production plant.

Once production manual information is received at the production plant, the first frame processing work can proceed (S1).

Meanwhile, when transmitting production manual information to the server of the production plant, the server 100 may additionally transmit first label information attached to the part and second label information attached to the finished product of the ordered product.

When the first frame processing is completed in the production plant, the process of attaching the first label to the frame parts for which the first frame processing has been completed may proceed (S2). In addition, secondary processing may be performed based on the first label attached to the frame part in the production plant (S3). Additionally, in a production factory, a finished product may be produced by thirdly assembling the secondly processed frame based on the first label attached to the frame part (S4). And, when a finished product is produced in a production plant, the task of attaching a second label to the finished product can be performed (S5).

Inspection work on the final product may be performed by comparing the information contained in the first label attached to the frame part at the production plant with the information contained in the second label attached to the finished product. And, if it is determined that there is no problem as a result of comparing the first label and the second label at the production plant, packaging and delivery operations can proceed (S6).

Accordingly, the server 100 of the present invention generates a variety of information that can manage individual order information and production thereof in one stop, and provides this to the production plant to prevent incorrect production of individually ordered products. Furthermore, the present invention can increase the efficiency of the individual ordering process.

Figure 4 is a flowchart illustrating an example of an individual order and production management method according to an embodiment of the present invention.

According to one embodiment of the present invention, the server 100 can perform individual order and production management processes.

Referring to FIG. 4, the server 100 may receive individual order information (S110). Here, the individual order information may include, but is not limited to, at least one of preset selection information related to the ordered product, size information related to the product, material information related to the product, color information related to the product, and orderer information.

Specifically, the server 100 may provide a user interface for receiving individual order information to the user terminal 200 and receive individual order information through the user interface. Additionally, the server 100 may receive individual information from a web server that sells individually ordered products. However, it is not limited to this.

Hereinafter, a description of how the server 100 receives individual order information will be described later with reference to FIGS. 5 and 6.

When receiving individual order information, the server 100 may generate production manual information based on the individual order information (S120). Here, the production manual information may include information about the parts list, the part size mapped to each item of the parts list, and the quantity of parts mapped to each item of the parts list, but is not limited to this.

For example, the server 100 may generate a preview image based on individual order information. Additionally, the server 100 may recognize objects constituting the product included in the preview image. Additionally, the server 100 may generate a parts list included in the manufacturing manual information based on the recognized object.

As another example, the server 100 may recognize a product name based on individual order information and a parts list corresponding to the product name. Here, the parts list corresponding to the product name may be pre-stored in the memory 120 of the server 100.

Hereinafter, a description of how the server 100 generates production manual information will be described later with reference to FIGS. 7 and 8.

When the server 100 generates production manual information, it can generate production and delivery schedule information based on the parts list included in the production manual information (S130).

Specifically, the server 100 may recognize whether there is an inventory quantity of a part corresponding to each item in the parts list. Additionally, the server 100 can recognize the parts warehousing schedule. Additionally, the server 100 may generate production and delivery schedule information based on the inventory quantity and warehousing schedule of parts.

Hereinafter, a description of how the server 100 generates production and delivery schedule information will be described later with reference to FIG. 9.

After generating the schedule information, the server 100 may generate production request information based on the individual order information, production manual, and schedule information (S140). Then, the server 100 may transmit production request information to the production factory server (S150).

Specifically, the server 100 may generate first label information attached to at least one of the parts included in the parts list. Additionally, the server 100 may generate second label information attached to the finished product of the ordered product. Here, the production request information may include first label information and second label information. Additionally, the first label information may include information related to the production of the ordered product, and the second label information may include information related to the delivery of the ordered product.

In various embodiments, the server 100 may obtain misproduction history information from a production plant server. In this case, the server 100 may generate quality control information based on the incorrect production history information and transmit the quality control information to the production plant server.

Here, the incorrect production history information may be generated by comparing first label information attached to the parts constituting the finished product with second label information to be attached to the finished product. In addition, the incorrect production history information includes information about defective parts and information about production defects, and the quality control information includes information about strengthening quality verification for defective parts and information about strengthening quality verification at the production stage related to production defects. may include.

For example, the production plant server that has received the quality control information may transmit the quality control information to the terminal of the manager of the production plant or to the terminal of the quality control manager. In this case, the manager or quality control manager of the production plant can easily perform quality control related to product production by strengthening monitoring of parts with a defective history or strengthening monitoring of production steps with a defective history. there is.

Additionally, the server 100 can recognize the supplier that supplied the defective part and transmit information about the occurrence of the defective part to the manager terminal of the supplier. In this case, compensation for defective parts can be received from the supplier, or the supplier can be forced to strengthen quality inspection work. Accordingly, the server 100 can prevent defective parts and increase product production efficiency.

5 and 6 are diagrams for explaining an example of a method for receiving individual order information according to an embodiment of the present invention.

According to one embodiment of the present invention, the server 100 may receive individual order information through a user interface.

Referring to FIG. 5, the server 100 may provide a user interface for receiving individual order information to the user terminal 200 (S111). Additionally, the server 100 may receive individual order information through the user interface (S112).

Specifically, the user of the user terminal 200 can input various information related to individual orders in the provided user interface. In this case, the server 100 may receive various information input from the user terminal 200 as individual order information.

Referring to Figure 6, the user interface 10 includes a product type selection area 11, a preset selection area 12, a size, material and color input area 13, an additional information input area 14, and an orderer information input area. It may include area 15.

The user may be provided with the user interface 10 provided by the server 100 through the user terminal 200. The user can select the type of product he or she wishes to order from among the types of products included in the product type selection area 11 of the user interface 10. For example, the user can select a product type, such as a bed foundation, headboard, or mattress, in the product type selection area 11 of the user interface 10.

Additionally, the user can select a product preset in the preset selection area 12 of the user interface 10. For example, the user can select a preset of products such as a float headboard bed, a basic high-type headboard bed, and a basic low-type headboard bed in the preset selection area 12 of the user interface 10.

Additionally, the user can select each of the product size, product material, and product color in the size, material, and color input area 13 of the user interface 10. Additionally, the user can input additional options, requests, etc. in the additional information input area 14 of the user interface. Additionally, the user can input the user's name, contact information, delivery address, etc. in the orderer information input area 15 of the user interface 10.

In various embodiments, when receiving individual order information, the server 100 may provide recommendation information related to the grade of a part or the price range of a product to the user terminal 200.

For example, the server 100 may generate first recommendation information recommending materials and colors for each preset grade of parts used in the production of ordered products. Additionally, the server 100 may provide the first recommendation information to the user terminal 200 through the user interface.

For example, the bed's foundation and headboard are classified into 1st, 2nd, and 3rd grades and may have different materials and colors. In this case, the server 100 may receive a selection input for any one of level 1, level 2, and level 3 from the user terminal 200. Additionally, the server 100 may recommend materials and colors corresponding to the selected grade.

As another example, the server 100 may generate second recommendation information recommending the material and color according to the payment amount of the ordered product. Additionally, the server 100 may provide second recommendation information to the user terminal 200 through the user interface.

For example, the server 100 provides information about the material and color of products that can be purchased at a price of 1 million to 1.5 million won, information about the material and color of products that can be purchased at a price of 1.5 million to 2 million won, and information about the material and color of products that can be purchased at a price of 1.5 million to 2 million won. Second recommendation information including information on the material and color of products that can be purchased at a price may be provided to the user terminal 200. In this case, the server 100 may receive information about a specific price range from the user terminal 200. Additionally, the server 100 may recommend the material and color of a product corresponding to information about a specific price range.

In various embodiments, when receiving individual order information, the server 100 may provide recommendation information related to the space where the product will be installed to the user terminal 200.

For example, the server 100 may obtain an image of the space where the ordered product will be installed from the user terminal 200. Additionally, the server 100 may recognize the size of the space, the brightness of the space, the color of the space, and the shape of the space based on the image. In this case, the server 100 may generate third recommendation information that recommends the size of the ordered product based on the size of the space. Additionally, the server 100 may provide third recommendation information to the user terminal 200 through the user interface.

As another example, the server 100 may obtain an image of the space where the ordered product will be installed from the user terminal 200. Additionally, the server 100 can recognize the size of the space, the brightness of the space, the color of the space, and the shape of the space based on the image. In this case, the server 100 may generate fourth recommendation information that recommends the preset, material, and color of the ordered product based on the brightness of the space, the color of the space, and the shape of the space. Additionally, the server 100 may provide the fourth recommendation information to the user terminal 200 through the user interface.

In an additional embodiment, when receiving individual order information, the server 100 may provide recommended information related to the user's physical condition to the user terminal 200.

For example, the server 100 may receive information about the user's height and weight from the user terminal 200. In this case, the server 100 may determine the size and height of the bed corresponding to the user's height. Additionally, the server 100 may determine the type of mattress corresponding to the user's weight. Additionally, the server 100 may provide fifth recommendation information recommending the size and height of the bed and the type of mattress to the user terminal 200 through the user interface.

For example, the server 100 may recommend a size whose vertical length is longer than the user's height by a preset length, and may recommend a height whose length is divided by the user's height by a preset value. Additionally, the server 100 stores the elasticity and repulsion strengths of mattresses for each user's weight range in the memory 120 and can recommend a mattress with elasticity and repulsion strengths corresponding to the user's weight.

In an additional embodiment, the server 100 may provide the user terminal 200 with a simulation function that allows the user to place a product in a virtual space corresponding to the space where the product will be installed through a user interface.

Specifically, the server 100 may receive size information about the space in which the product will be installed from the user terminal 200, or may receive an input for selecting one of a plurality of spaces having various sizes.

The server 100 may create a virtual space based on size information about the space where the product will be installed or selection information about a space with a specific size. Additionally, the server 100 may provide the user terminal 200 with a function to select furniture and electronic products, adjust the size of the selected objects, and place them in the created virtual space. Additionally, the server 100 may provide the user terminal 200 with a function to select colors for the walls and floors constituting the virtual space.

When the arrangement of furniture and electronic products and the selection of colors for the walls and floors in the virtual space are completed, the server 100 may generate sixth recommendation information that recommends individually ordered products that can be installed in the space. Additionally, the server 100 may provide the sixth recommendation information to the user terminal 200 through the user interface.

That is, through the user terminal 200, the user can arbitrarily place the product they wish to order or recommended products, as well as furniture and electronic products they already own, in a virtual space corresponding to the space where the product will be installed.

Meanwhile, the server 100 may disclose the arrangement of furniture and electronic products in the virtual space set by the user to other users. Additionally, the server 100 may provide the user with a reward corresponding to the number of views of other users or a reward according to the number of times the batch is connected to an order. Here, the reward may include a discount for individually ordered products.

Figure 7 is a diagram for explaining an example of a method for generating production manual information according to an embodiment of the present invention.

According to one embodiment of the present invention, the server 100 may generate production manual information based on individual order information.

Specifically, the server 100 may generate a preview image of the ordered product based on individual order information, recognize parts from the generated preview image, and obtain production manual information.

More specifically, referring to FIG. 7, the server 100 may generate a preview image of the product based on preset selection information, size information, material information, and color information (S121). Additionally, the server 100 may obtain object information about objects constituting the product included in the preview image (S122). Then, the server 100 may generate a parts list based on the object information (S123).

Figure 8 is a diagram for explaining another example of a method for generating production manual information according to an embodiment of the present invention.

According to one embodiment of the present invention, the server 100 may generate production manual information based on individual order information.

Specifically, referring to FIG. 8, the server 100 can recognize the product name included in the individual order information 20. Additionally, the server 100 can recognize a parts list corresponding to the recognized product name. Here, the parts list corresponding to the product name may be pre-stored in the memory 120 of the server 100.

The server 100 may determine the part size and part quantity to be mapped to each item in the parts list based on the color, size, and standard included in the individual order information 20.

For example, the server 100 determines the part size of 2010X760 based on the standard of 1500 It can be mapped to a part item.

When the server 100 recognizes the parts list and determines the part size and part quantity to be mapped to each item of the parts list, it can generate manufacturing manual information 30 including these.

Figure 9 is a flowchart illustrating an example of a method for generating schedule information according to an embodiment of the present invention.

According to an embodiment of the present invention, the server 100 may generate production and delivery schedule information based on production parts of ordered products, previously ordered production parts, and inventory quantities of parts.

Referring to FIG. 9, the server 100 may recognize a first production parts list related to a previously ordered product and a second production parts list related to a currently ordered product (S131). Additionally, the server 100 may recognize inventory quantity information of parts included in each of the first production parts list and the second production parts list (S132). Then, the server 100 may generate certain information based on the inventory quantity information (S133).

For example, a first production parts list associated with a previously ordered product would include Part A, Part B, Part C, Part D, and Part E, and a second list of manufactured parts associated with a currently ordered product would include Part A, Part C. When parts and D parts are included, the server 100 can recognize the total inventory quantity of each of A parts, C parts, and D parts. Additionally, the server 100 may recognize whether the quantity used in the previously ordered product subtracted from the total inventory quantity is greater than the quantity used in the currently ordered product.

If the server 100 determines that the total inventory quantity minus the quantity used in the previously ordered product is greater than the quantity used in the currently ordered product, it determines that production is possible immediately, and a preset period from the current date is determined. This elapsed date can be recognized as the production completion and delivery start schedule.

Meanwhile, if the server 100 determines that the quantity used in the previously ordered product subtracted from the total inventory quantity is less than the quantity used in the currently ordered product, it can recognize the receipt date of the corresponding part.

When the server 100 recognizes the warehousing date, it may recognize the date on which a preset period has elapsed from the warehousing date as the production completion and delivery start schedule.

Additionally, if the receipt date for the corresponding part is not confirmed, the server 100 may recognize the supplier that supplies the corresponding part. Additionally, the server 100 may request an order for the corresponding part from the supplier.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

Claims (11)

In a method of individual ordering and production management performed by one or more processors included in a server,
receiving individual order information;
generating production manual information based on the individual order information;
generating production and delivery schedule information based on the parts list included in the production manual information;
generating production request information based on the individual order information, production manual information, and schedule information; and
Transmitting the production request information to a production plant server;
Including,
The step of generating production request information based on the individual order information, the production manual, and the schedule information,
generating first label information attached to at least one of the parts included in the parts list; and
Generating second label information attached to the finished product of the ordered product;
Including,
The above production request information is,
Includes the first label information and the second label information,
The first label information is,
Contains information related to the production of the products ordered above,
The second label information is,
Containing information related to the delivery of the ordered products,
How to manage individual orders and production.
According to claim 1,
The individual order information above is:
Contains preset selection information related to the ordered product, size information related to the product, material information related to the product, color information related to the product, and orderer information,
The production manual information above is,
Containing information about the parts list, the part size mapped to each item of the parts list, and the quantity of parts mapped to each item of the parts list,
How to manage individual orders and production.
According to clause 2,
The step of generating production manual information based on the individual order information is,
generating a preview image of the product based on the preset selection information, the size information, the material information, and the color information;
Obtaining object information about objects constituting the product included in the preview image; and
generating the parts list based on the object information;
Including,
How to manage individual orders and production.
According to claim 1,
The step of generating production and delivery schedule information based on the parts list included in the production manual information is,
recognizing a first production parts list associated with a previously ordered product and a second production parts list associated with a currently ordered product;
Recognizing inventory quantity information of parts included in each of the first production parts list and the second production parts list; and
generating the schedule information based on the inventory quantity information;
Including,
How to manage individual orders and production.
delete According to claim 1,
The method is:
Obtaining incorrect production history information from the production plant server; and
Generating quality control information based on the erroneous production history information and transmitting the quality control information to the production plant server;
It further includes,
The above incorrect production history information is,
Generated by comparing first label information attached to the parts constituting the finished product with second label information to be attached to the finished product,
The above incorrect production history information is,
Contains information about defective parts and production defects;
The above quality control information is,
Containing information on strengthening quality verification for the defective parts and information on strengthening quality verification of the production stage related to the production defect,
How to manage individual orders and production.
According to claim 1,
The step of receiving the individual order information is,
providing a user interface for receiving the individual order information to a user terminal; and
Receiving the individual order information through the user interface;
Including,
The user interface is,
Containing a selection area for the type of ordered product, a preset selection area with the minimum setting value applied, a size input area, a material selection area, and a color selection area,
How to manage individual orders and production.
According to clause 7,
The step of receiving the individual order information is,
generating first recommendation information recommending the material and color for each preset grade of parts used in producing the ordered product;
generating second recommendation information recommending the material and color for each payment amount of the ordered product; and
providing the first recommendation information and the second recommendation information to the user terminal through the user interface;
Containing more,
How to manage individual orders and production.
According to clause 7,
The step of receiving the individual order information is,
Obtaining an image of the space where the ordered product will be installed from the user terminal;
Recognizing the size of the space, the brightness of the space, the color of the space, and the shape of the space based on the image;
generating third recommendation information recommending the size of the ordered product based on the size of the space;
generating fourth recommendation information recommending a preset, material, and color of the ordered product based on the brightness of the space, the color of the space, and the shape of the space; and
providing the third recommendation information and the fourth recommendation information to the user terminal through the user interface;
Containing more,
How to manage individual orders and production.
A memory that stores one or more instructions; and
A processor that executes the one or more instructions stored in the memory
Contains,
The processor executes the one or more instructions,
An apparatus for performing the method of claim 1.
A computer program combined with a computer as hardware and stored on a computer-readable recording medium so as to perform the method of claim 1.