WO2023214698A1 - Textile product collaboration management server and textile product collaboration management method using same - Google Patents

Textile product collaboration management server and textile product collaboration management method using same Download PDF

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Publication number
WO2023214698A1
WO2023214698A1 PCT/KR2023/004657 KR2023004657W WO2023214698A1 WO 2023214698 A1 WO2023214698 A1 WO 2023214698A1 KR 2023004657 W KR2023004657 W KR 2023004657W WO 2023214698 A1 WO2023214698 A1 WO 2023214698A1
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textile product
information
textile
collaboration management
production
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PCT/KR2023/004657
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French (fr)
Korean (ko)
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김창수
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부경대학교 산학협력단
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing

Definitions

  • the present invention relates to a textile product collaboration management server and a textile product collaboration management method using the same.
  • receives textile product requirement information from a buyer terminal and current order quantity information from a producer terminal and uses AI (Artificial Intelligence) based on these information.
  • AI Artificial Intelligence
  • Intelligence analysis to determine whether textile products can be produced
  • a textile product collaboration management server that matches buyers and producers by providing information on possible production companies to the buyer terminal to select a production company
  • a textile product collaboration management method using the same It's about.
  • Patent Document 1 Korean Registered Patent No. 10-0306664 (Title of invention: Trade transaction system and method using the Internet)
  • the present invention was made in consideration of the above points, and the purpose of the present invention is to provide a textile product collaboration management server and a textile product collaboration management server that can improve the competitiveness of poor textile companies by enabling smart collaboration between buyers and producers in the textile industry.
  • the goal is to provide a textile product collaboration management method using this.
  • the textile product collaboration management server receives textile product requirement information from the purchaser terminal, transmits the textile product requirement information to producer terminals, and produces the textile product requirement information.
  • a requirements information management unit configured to transmit a request signal for information on the current textile product order quantity to company terminals;
  • a producer order quantity information receiving unit configured to receive current textile product order quantity information from the production company terminals;
  • a textile product production feasibility determination unit configured to analyze the textile product requirement information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile product production is possible for each manufacturer;
  • a capable production company information provider configured to select a production company capable of producing textile products based on the determined information on whether or not each production company can produce textile products, and provide information about the selected production company possible to the buyer terminal; and
  • a production order information providing unit configured to receive production company selection information from the buyer terminal and provide textile product production order information to the selected production company terminal.
  • the textile product requirement information may include purchase items, quantity for each purchase item, and delivery date for each purchase item
  • the textile product order quantity information may include the order quantity for each ordered item.
  • the textile product production possibility determination unit determines whether textile product production is possible for each producer based on the received textile product requirement information and current textile product order quantity information, Data sets of textile product requirements information, textile product order quantity information, and textile product production availability information may be input into a machine-learned artificial neural network to determine whether textile products can be produced.
  • the textile product collaboration management method is such that the textile product collaboration management server receives textile product requirement information from a purchaser terminal, and sends the textile product requirement information to producer terminals. In addition to transmitting a request signal for information on the current textile product order quantity to the production company terminals; The textile product collaboration management server receiving current textile product order quantity information from the production company terminals; The textile product collaboration management server analyzes the textile product requirements information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced for each manufacturer; The textile product collaboration management server selecting a production company capable of producing textile products based on the determined information on whether or not each production company can produce textile products, and providing information about the selected production company capable of producing the product to the buyer terminal; and the step of the textile product collaboration management server receiving producer selection information from the buyer terminal and providing textile product production order information to the selected producer terminal.
  • AI Artificial Intelligence
  • the textile product requirement information includes purchase items, quantities for each purchase item, and delivery dates for each purchase item
  • the textile product order quantity information may include the order quantity for each ordered item. You can.
  • the step of determining whether the textile product can be produced is performed by the textile product collaboration management server using the received textile product requirement information and current textile product order quantity information to determine the textile product request. It may include the step of determining whether or not textile products can be produced by inputting them into an artificial neural network machine-learned based on data sets of details information, textile product order quantity information, and textile product production availability information.
  • textile product requirement information is received from the purchaser terminal, and the corresponding textile product requirement information is transmitted to the producer terminals.
  • the current textile product order quantity information is received by sending a request signal for information on the current textile product order quantity to the production company terminals, and the textile product requirement information and the current textile product order quantity information are analyzed using AI (Artificial Intelligence) to produce the product.
  • AI Artificial Intelligence
  • FIG. 1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.
  • FIG. 2 is a flowchart explaining a textile product collaboration management method using the textile product collaboration management server of FIG. 1.
  • one component when one component 'transmits', 'delivers', or 'provides' data or signals to another component, it means that one component transmits data or signals directly to another component. It involves transmitting data or signals to another component through at least one other component.
  • FIG. 1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.
  • the textile product collaboration management system including the textile product collaboration management server includes a purchaser terminal (M1) and a plurality of producer terminals (M2) using a textile product collaboration management server. It is connected to (100) wired or wirelessly, and the communication method is not particularly limited.
  • the buyer terminal (M1) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) owned by a buyer (buyer) who purchases textile products, and receives information from the textile product collaboration management server 100.
  • the downloaded textile product collaboration management app is saved.
  • the producer terminal (M2) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) owned by an employee of a company that produces textile products requested for production by the buyer terminal (M1), and is a terminal that produces textile products.
  • the textile product collaboration management app downloaded from the product collaboration management server 100 is stored.
  • the textile product collaboration management server 100 includes a requirements information management unit 110, a manufacturer order quantity information reception unit 120, a textile product production availability determination unit 130, and production capability company information. It includes a provision unit 140 and a production order information provision unit 150.
  • the requirements information management unit 110 receives textile product requirement information (including purchase specifications of textile products, such as purchase items, quantity for each purchase item, and delivery date for each purchase item) from the buyer terminal (M1), and receives the received textile product requirements.
  • textile product requirement information including purchase specifications of textile products, such as purchase items, quantity for each purchase item, and delivery date for each purchase item
  • M2 receives the received textile product requirements.
  • a signal requesting information on the current textile product order quantity (a signal requesting information including the order quantity for each item of textile products ordered from the relevant production companies) is sent to the production company terminals (M2). It serves to transmit to M2).
  • the production company order quantity information receiving unit 120 serves to receive information on the current textile product order quantity from the production company terminals (M2).
  • the textile product production availability determination unit 130 analyzes the textile product requirement information received from the buyer terminal M1 and the current textile product order quantity information received from the producer order quantity information reception unit 120 using AI (Artificial Intelligence). It plays a role in determining whether each manufacturer can produce textile products.
  • AI Artificial Intelligence
  • Textile products are produced by inputting the current textile product order quantity information received from (120) into an artificial neural network machine-learned using a dataset of textile product requirements information, textile product order quantity information, and textile product production availability information. Decide whether it is possible.
  • the information providing unit 140 capable of producing a production company selects a production company based on the information on the ability to produce textile products for each producer determined by the determination unit 130, and provides information about the selected production company capable of producing the product. It serves to provide to the buyer terminal (M1).
  • Information about the selected production company includes the producer's history information (e.g., company information such as company status, company overview, financial information, delivery performance, etc.), and integrated evaluation score information (weighted for delivery history, reliability, and delivery price). (score information calculated by assigning) is included.
  • producer's history information e.g., company information such as company status, company overview, financial information, delivery performance, etc.
  • integrated evaluation score information weighted for delivery history, reliability, and delivery price.
  • the production order information provider 140 receives information on the selection of a finally selected production company from the buyer terminal (M1) and provides textile product production order information to the terminal (M2) of the selected production company.
  • FIG. 2 is a flowchart for explaining a textile product collaboration management method using the textile product collaboration management server of FIG. 1, where S stands for step.
  • the textile product collaboration management server 100 receives textile product requirement information from the buyer terminal (M1) (S10), and transmits the textile product requirement information to a plurality of producer terminals (M2).
  • a request signal for information on the current textile product order quantity is transmitted to a plurality of production company terminals (M2) (S20).
  • the textile product collaboration management server 100 receives information on the current textile product order quantity from the production company terminals (M2) (S30).
  • the textile product collaboration management server 100 analyzes the textile product requirements information and current textile product order quantity information received from steps S10 and S30 using AI (Artificial Intelligence) to produce textile products for each manufacturer. Decide whether or not (S40).
  • AI Artificial Intelligence
  • the textile product collaboration management server 100 selects a production company capable of producing textile products based on the information on whether or not each production company can produce textile products determined in step S40 (S50), and provides information on the selected production company capable of production (production company (including history information and integrated evaluation score information) is provided to the buyer terminal (M1) (S60).
  • the textile product collaboration management server 100 receives producer selection information (meaning information on the producer finally selected by the buyer terminal) from the buyer terminal (M1) (S70), and the selected producer terminal ( Provides textile product production order information to M2) (S80).
  • producer selection information meaning information on the producer finally selected by the buyer terminal
  • step (S60) is described in detail as follows.
  • the textile product collaboration management server 100 includes information (including producer history information, delivery history information, reliability information, and delivery price information) of producers selected from a database (existing in the server itself or separately externally). ) is collected (S61).
  • the textile product collaboration management server 100 calculates an integrated evaluation score for each manufacturer by weighting the delivery history information, reliability information, and delivery price information collected in step S61 (S63).
  • the textile product collaboration management server 100 matches the producer's history information [information collected in step S63] and integrated evaluation score information [information calculated in step S63] for each producer, and the matched The relevant information is provided to the purchaser terminal (M1) (S65).
  • textile product requirement information is received from the purchaser terminal, and the textile product requirement information and current fiber are sent to the producer terminals.
  • Receive current textile product order quantity information by sending a product order quantity information request signal, analyze the textile product requirements information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether or not textile products can be produced by each manufacturer.
  • AI Artificial Intelligence
  • select a producer capable of producing the textile product based on the determined information on the ability to produce textile products for each producer, provide information on the selected production capable producer to the buyer terminal, receive producer selection information, and send information to the selected producer terminal.

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Abstract

The present invention relates to a textile product collaboration management server and a textile product collaboration management method using same and, more particularly, to a textile product collaboration management server and a textile product collaboration management method using same which: receive textile product requirement information from a purchaser terminal, receive current order quantity information from a production company terminal, and determine whether or not textile products are producible, by performing artificial intelligence (AI) analysis on the basis of the pieces of information; and match a purchaser and a production company by providing production-capable company information to the purchaser terminal to enable the purchaser terminal to select a production company.

Description

섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법Textile product collaboration management server and textile product collaboration management method using it
본 발명은 섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법에 관한 것으로, 특히 구매자 단말로부터 섬유제품 요구 사항 정보를 수신하고 생산 업체 단말로부터 현재 수주량 정보를 수신하여 이들 정보를 기초로 AI(Artificial Intelligence) 분석하여 섬유제품 생산가능 여부를 결정하고, 생산 가능 업체 정보를 구매자 단말에 제공하여 생산 업체를 선택하게 함으로써 구매자와 생산 업체를 매칭시켜주는 섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법에 관한 것이다. The present invention relates to a textile product collaboration management server and a textile product collaboration management method using the same. In particular, it receives textile product requirement information from a buyer terminal and current order quantity information from a producer terminal, and uses AI (Artificial Intelligence) based on these information. Intelligence) analysis to determine whether textile products can be produced, a textile product collaboration management server that matches buyers and producers by providing information on possible production companies to the buyer terminal to select a production company, and a textile product collaboration management method using the same. It's about.
일반적으로, 섬유산업은 수평적 기업간 분업/협업 구조로 인해 섬유 생산 현장 기업 현황 파악에 어려움이 존재하고, 바이어의 새로운 원단 소재 소싱을 위해 영세한 중소 브랜드, 패션 기업, 신진 디자이너들이 섬유산업 관련 컨버트들을 활용하고 있으며, 대량 오더에 의존하는 생산자들이 다품종 소량 위주의 생산가동으로 소량 생산, 단기 납기의 필요성이 증가하고 있다. In general, in the textile industry, there are difficulties in identifying the status of companies at textile production sites due to the horizontal division of labor/collaboration structure between companies, and small and medium-sized brands, fashion companies, and new designers are involved in the textile industry in order to source new fabric materials for buyers. Converters are being used, and the need for small quantity production and short-term delivery is increasing as producers who rely on large orders are focusing on producing small quantities of various products.
섬유산업은 바이어(구매자)와 생산자간에 미스 매칭이 발생하면 주문량이 감소하게 되고 오더 수주에 애로사항이 발생하게 되며, 신규 거래처 발굴이 어렵우며, 영업직원이 이동하면서 주문 기업의 정보 변동이 발생하게 되며, 컨버터와 기업 간에 의사소통 한계의 문제점이 발생하게 된다In the textile industry, when a mismatch occurs between a buyer and a producer, the order quantity decreases, difficulties arise in receiving orders, it is difficult to discover new customers, and information of the ordering company changes as sales staff move. This causes problems with communication limitations between the converter and the company.
따라서, 생산기업은 바이어의 다양한 요구사항을 적절하게 처리할 수 있는 스마트 협업 체계 필요가 되었다.Therefore, production companies need a smart collaboration system that can appropriately handle the diverse requirements of buyers.
[선행기술문헌][Prior art literature]
[특허문헌][Patent Document]
(특허문헌 1) 한국 등록 특허 제10-0306664호 공보(발명의 명칭: 인터넷을 이용한 무역 거래 시스템 및 그 방법)(Patent Document 1) Korean Registered Patent No. 10-0306664 (Title of invention: Trade transaction system and method using the Internet)
따라서 본 발명은 상기와 같은 점에 착안하여 이루어진 것으로서, 본 발명의 목적은 섬유산업에서 구매자와 생산 업체 간의 스마트 협업을 가능하게 하여 열악한 섬유 업체의 경쟁력 향상을 도모할 수 있는 섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법을 제공하는 데 있다.Therefore, the present invention was made in consideration of the above points, and the purpose of the present invention is to provide a textile product collaboration management server and a textile product collaboration management server that can improve the competitiveness of poor textile companies by enabling smart collaboration between buyers and producers in the textile industry. The goal is to provide a textile product collaboration management method using this.
상기 목적을 달성하기 위해, 본 발명의 실시형태에 의한 섬유제품 협업 관리 서버는 구매자 단말로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들에 상기 섬유제품 요구 사항 정보를 송신함과 아울러 상기 생산 업체 단말들에 현재의 섬유제품 수주량 정보 요청 신호를 송신하도록 구성된 요구 사항 정보 관리부; 상기 생산 업체 단말들로부터 현재의 섬유제품 수주량 정보를 수신하도록 구성된 생산 업체 수주량 정보 수신부; 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하도록 구성된 섬유제품 생산 가능 여부 결정부; 결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하도록 구성된 생산 가능 업체 정보 제공부; 및 상기 구매자 단말로부터 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하도록 구성된 생산 오더 정보 제공부;를 포함하는 것을 특징으로 한다.In order to achieve the above object, the textile product collaboration management server according to an embodiment of the present invention receives textile product requirement information from the purchaser terminal, transmits the textile product requirement information to producer terminals, and produces the textile product requirement information. a requirements information management unit configured to transmit a request signal for information on the current textile product order quantity to company terminals; a producer order quantity information receiving unit configured to receive current textile product order quantity information from the production company terminals; A textile product production feasibility determination unit configured to analyze the textile product requirement information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile product production is possible for each manufacturer; A capable production company information provider configured to select a production company capable of producing textile products based on the determined information on whether or not each production company can produce textile products, and provide information about the selected production company possible to the buyer terminal; and a production order information providing unit configured to receive production company selection information from the buyer terminal and provide textile product production order information to the selected production company terminal.
상기 실시형태에 의한 섬유제품 협업 관리 서버에 있어서, 상기 섬유제품 요구 사항 정보는 구매 품목, 구매 품목별 수량, 및 구매 품목별 납기 일을 포함하고, 상기 섬유제품 수주량 정보는 수주한 품목별 수주량을 포함할 수 있다.In the textile product collaboration management server according to the above embodiment, the textile product requirement information may include purchase items, quantity for each purchase item, and delivery date for each purchase item, and the textile product order quantity information may include the order quantity for each ordered item. there is.
상기 실시형태에 의한 섬유제품 협업 관리 서버에 있어서, 상기 섬유제품 생산 가능 여부 결정부가 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 것은 수신된 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를, 섬유제품 요구 사항 정보, 섬유제품 수주량 정보 및 섬유제품 생산가능 여부 정보의 데이터셋에 의해 기계학습된 인공신경망에 입력시켜 섬유제품 생산 가능 여부를 결정하는 것일 수 있다.In the textile product collaboration management server according to the above embodiment, the textile product production possibility determination unit determines whether textile product production is possible for each producer based on the received textile product requirement information and current textile product order quantity information, Data sets of textile product requirements information, textile product order quantity information, and textile product production availability information may be input into a machine-learned artificial neural network to determine whether textile products can be produced.
상기 목적을 달성하기 위해, 본 발명의 다른 실시형태에 의한 섬유제품 협업 관리 방법은 섬유제품 협업 관리 서버가 구매자 단말로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들에 상기 섬유제품 요구 사항 정보를 송신함과 아울러 상기 생산 업체 단말들에 현재의 섬유제품 수주량 정보 요청 신호를 송신하는 단계; 상기 섬유제품 협업 관리 서버가 상기 생산 업체 단말들로부터 현재의 섬유제품 수주량 정보를 수신하는 단계; 상기 섬유제품 협업 관리 서버가 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 단계; 상기 섬유제품 협업 관리 서버가 결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하는 단계; 및 상기 섬유제품 협업 관리 서버가 상기 구매자 단말로부터 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하는 단계;를 포함하는 것을 특징으로 한다.In order to achieve the above object, the textile product collaboration management method according to another embodiment of the present invention is such that the textile product collaboration management server receives textile product requirement information from a purchaser terminal, and sends the textile product requirement information to producer terminals. In addition to transmitting a request signal for information on the current textile product order quantity to the production company terminals; The textile product collaboration management server receiving current textile product order quantity information from the production company terminals; The textile product collaboration management server analyzes the textile product requirements information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced for each manufacturer; The textile product collaboration management server selecting a production company capable of producing textile products based on the determined information on whether or not each production company can produce textile products, and providing information about the selected production company capable of producing the product to the buyer terminal; and the step of the textile product collaboration management server receiving producer selection information from the buyer terminal and providing textile product production order information to the selected producer terminal.
상기 다른 실시형태에 의한 섬유제품 협업 관리 방법에 있어서, 상기 섬유제품 요구 사항 정보는 구매 품목, 구매 품목별 수량, 및 구매 품목별 납기 일을 포함하고, 상기 섬유제품 수주량 정보는 수주한 품목별 수주량을 포함할 수 있다.In the textile product collaboration management method according to the other embodiment, the textile product requirement information includes purchase items, quantities for each purchase item, and delivery dates for each purchase item, and the textile product order quantity information may include the order quantity for each ordered item. You can.
상기 다른 실시형태에 의한 섬유제품 협업 관리 방법에 있어서, 상기 섬유제품 생산 가능 여부 결정 단계는 상기 섬유제품 협업 관리 서버가 수신된 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를, 섬유제품 요구 사항 정보, 섬유제품 수주량 정보 및 섬유제품 생산가능 여부 정보의 데이터셋에 의해 기계학습된 인공신경망에 입력시켜 섬유제품 생산 가능 여부를 결정하는 단계를 포함할 수 있다. In the textile product collaboration management method according to the other embodiment, the step of determining whether the textile product can be produced is performed by the textile product collaboration management server using the received textile product requirement information and current textile product order quantity information to determine the textile product request. It may include the step of determining whether or not textile products can be produced by inputting them into an artificial neural network machine-learned based on data sets of details information, textile product order quantity information, and textile product production availability information.
본 발명의 실시형태에 의한 섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법에 의하면, 구매자 단말로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들에 해당 섬유제품 요구 사항 정보를 송신함과 아울러 상기 생산 업체 단말들에 현재의 섬유제품 수주량 정보요청 신호를 송신하여 현재의 섬유제품 수주량 정보를 수신하고, 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하고, 결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하여 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하도록 구성됨으로써, 섬유산업에서 구매자와 생산 업체 간의 스마트 협업을 가능하게 하여 열악한 섬유 업체의 경쟁력 향상을 도모할 수 있다는 뛰어난 효과가 있다. According to the textile product collaboration management server and the textile product collaboration management method using the same according to an embodiment of the present invention, textile product requirement information is received from the purchaser terminal, and the corresponding textile product requirement information is transmitted to the producer terminals. In addition, the current textile product order quantity information is received by sending a request signal for information on the current textile product order quantity to the production company terminals, and the textile product requirement information and the current textile product order quantity information are analyzed using AI (Artificial Intelligence) to produce the product. Determine whether or not each company can produce textile products, select a production company based on the determined information on whether or not each company can produce textile products, and select a producer by providing information on the selected production company to the buyer terminal. By being configured to receive information and provide textile product production order information to selected production company terminals, it has the outstanding effect of enabling smart collaboration between buyers and producers in the textile industry, thereby improving the competitiveness of poor textile companies. .
도 1은 본 발명의 실시예에 의한 섬유제품 협업 관리 서버를 포함하는 섬유제품 협업 관리 시스템의 블록 구성도이다.1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.
도 2는 도 1의 섬유제품 협업 관리 서버를 이용한 섬유제품 협업 관리 방법을 설명하기 위한 플로우챠트이다.FIG. 2 is a flowchart explaining a textile product collaboration management method using the textile product collaboration management server of FIG. 1.
본 발명의 실시예를 설명함에 있어서, 본 발명과 관련된 공지기술에 대한 구체적인 설명이 본 발명의 요지를 불필요하게 흐릴 수 있다고 판단되는 경우에는 그 상세한 설명을 생략하기로 한다. 그리고 후술되는 용어들은 본 발명에서의 기능을 고려하여 정의된 용어들로서 이는 사용자, 운용자의 의도 또는 관례 등에 따라 달라질 수 있다. 그러므로 그 정의는 본 명세서 전반에 걸친 내용을 토대로 내려져야 할 것이다. 상세한 설명에서 사용되는 용어는 단지 본 발명의 실시예를 기술하기 위한 것이며, 결코 제한적으로 해석되어서는 안 된다. 명확하게 달리 사용되지 않는 한, 단수 형태의 표현은 복수 형태의 의미를 포함한다. 본 설명에서, "포함" 또는 "구비"와 같은 표현은 어떤 특성들, 숫자들, 단계들, 동작들, 요소들, 이들의 일부 또는 조합을 가리키기 위한 것이며, 기술된 것 이외에 하나 또는 그 이상의 다른 특성, 숫자, 단계, 동작, 요소, 이들의 일부 또는 조합의 존재 또는 가능성을 배제하는 것으로 해석되어서는 안 된다.In describing embodiments of the present invention, if it is determined that a detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are defined in consideration of the functions in the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the contents throughout this specification. The terms used in the detailed description are only for describing embodiments of the present invention and should in no way be construed as limiting. Unless explicitly stated otherwise, singular forms include plural meanings. In this description, expressions such as “comprising” or “comprising” are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, and one or more than those described. It should not be construed to exclude the existence or possibility of any other characteristic, number, step, operation, element, or part or combination thereof.
도면에서 도시된 각 시스템에서, 몇몇 경우에서의 요소는 각각 동일한 참조 번호 또는 상이한 참조 번호를 가져서 표현된 요소가 상이하거나 유사할 수가 있음을 시사할 수 있다. 그러나 요소는 상이한 구현을 가지고 본 명세서에서 보여지거나 기술된 시스템 중 몇몇 또는 전부와 작동할 수 있다. 도면에서 도시된 다양한 요소는 동일하거나 상이할 수 있다. 어느 것이 제1 요소로 지칭되는지 및 어느 것이 제2 요소로 불리는지는 임의적이다.In each system shown in the drawings, elements in some cases may each have the same reference number or different reference numbers, indicating that the elements represented may be different or similar. However, elements may have different implementations and operate with any or all of the systems shown or described herein. Various elements shown in the drawings may be the same or different. Which is called the first element and which is called the second element is arbitrary.
본 명세서에서 어느 하나의 구성요소가 다른 구성요소로 데이터 또는 신호를 '전송', '전달' 또는 '제공'한다 함은 어느 한 구성요소가 다른 구성요소로 직접 데이터 또는 신호를 전송하는 것은 물론, 적어도 하나의 또 다른 구성요소를 통하여 데이터 또는 신호를 다른 구성요소로 전송하는 것을 포함한다.In this specification, when one component 'transmits', 'delivers', or 'provides' data or signals to another component, it means that one component transmits data or signals directly to another component. It involves transmitting data or signals to another component through at least one other component.
이하, 본 발명의 실시예를 도면을 참조하여 상세히 설명하기로 한다.Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
도 1은 본 발명의 실시예에 의한 섬유제품 협업 관리 서버를 포함하는 섬유제품 협업 관리 시스템의 블록 구성도이다.1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.
본 발명의 실시예에 의한 섬유제품 협업 관리 서버를 포함하는 섬유제품 협업 관리 시스템은, 도 1에 도시된 바와 같이, 구매자 단말(M1) 및 복수의 생산 업체 단말(M2)이 섬유제품 협업 관리 서버(100)와 유, 무선으로 연결된 형태를 이루며, 통신방식은 특별히 제한되지는 않는다.As shown in FIG. 1, the textile product collaboration management system including the textile product collaboration management server according to an embodiment of the present invention includes a purchaser terminal (M1) and a plurality of producer terminals (M2) using a textile product collaboration management server. It is connected to (100) wired or wirelessly, and the communication method is not particularly limited.
구매자 단말(M1)은 섬유제품을 구매하고 하는 구매자(바이어)가 소지한 단말(예컨대, 스마트폰, 테블릿 PC, 노트북, 넷북 등이 사용될 수 있음)로서, 섬유제품 협업 관리 서버(100)로부터 다운로드 된 섬유제품 협업 관리 앱이 저장되어 있다.The buyer terminal (M1) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) owned by a buyer (buyer) who purchases textile products, and receives information from the textile product collaboration management server 100. The downloaded textile product collaboration management app is saved.
생산 업체 단말(M2)은 구매자 단말(M1)에 의해 생산 의뢰된 섬유제품을 생산하는 업체 직원이 소지한 단말(예컨대, 스마트폰, 테블릿 PC, 노트북, 넷북 등이 사용될 수 있음)로서, 섬유제품 협업 관리 서버(100)로부터 다운로드 된 섬유제품 협업 관리 앱이 저장되어 있다. The producer terminal (M2) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) owned by an employee of a company that produces textile products requested for production by the buyer terminal (M1), and is a terminal that produces textile products. The textile product collaboration management app downloaded from the product collaboration management server 100 is stored.
섬유제품 협업 관리 서버(100)는, 도 1에 도시된 바와 같이, 요구 사항 정보 관리부(110), 생산 업체 수주량 정보 수신부(120), 섬유제품 생산 가능 여부 결정부(130), 생산 가능 업체 정보 제공부(140), 및 생산 오더 정보 제공부(150)를 포함한다.As shown in FIG. 1, the textile product collaboration management server 100 includes a requirements information management unit 110, a manufacturer order quantity information reception unit 120, a textile product production availability determination unit 130, and production capability company information. It includes a provision unit 140 and a production order information provision unit 150.
요구 사항 정보 관리부(110)는 구매자 단말(M1)로부터 섬유제품 요구 사항 정보(구매 품목, 구매 품목별 수량, 구매 품목별 납기 일 등 섬유제품의 구매 사양을 포함)를 수신하고, 수신된 섬유제품 요구 사항 정보를 생산 업체 단말들(M2)에 송신함과 아울러 현재의 섬유제품 수주량 정보 요청 신호(해당 생산 업체들에서 수주한 섬유제품의 품목별 수주량을 포함하는 정보를 요청하는 신호)를 생산 업체 단말들(M2)에 송신하는 역할을 한다.The requirements information management unit 110 receives textile product requirement information (including purchase specifications of textile products, such as purchase items, quantity for each purchase item, and delivery date for each purchase item) from the buyer terminal (M1), and receives the received textile product requirements. In addition to transmitting information to the production company terminals (M2), a signal requesting information on the current textile product order quantity (a signal requesting information including the order quantity for each item of textile products ordered from the relevant production companies) is sent to the production company terminals (M2). It serves to transmit to M2).
생산 업체 수주량 정보 수신부(120)는 생산 업체 단말들(M2)로부터 현재의 섬유제품 수주량 정보를 수신하는 역할을 한다.The production company order quantity information receiving unit 120 serves to receive information on the current textile product order quantity from the production company terminals (M2).
섬유제품 생산 가능 여부 결정부(130)는 구매자 단말(M1)로부터 수신한 섬유제품 요구 사항 정보, 및 생산 업체 수주량 정보 수신부(120)에서 수신한 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 역할을 한다.The textile product production availability determination unit 130 analyzes the textile product requirement information received from the buyer terminal M1 and the current textile product order quantity information received from the producer order quantity information reception unit 120 using AI (Artificial Intelligence). It plays a role in determining whether each manufacturer can produce textile products.
섬유제품 생산 가능 여부 결정부(130)가 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 방법에 대해 구체적으로 설명하면, 구매자 단말(M1)로부터 수신한 섬유제품 요구 사항 정보, 및 생산 업체 수주량 정보 수신부(120)에서 수신한 현재의 섬유제품 수주량 정보를, 섬유제품 요구 사항 정보, 섬유제품 수주량 정보 및 섬유제품 생산 가능 여부 정보의 데이터셋(dataset)에 의해 기계학습된 인공신경망에 입력시켜 섬유제품 생산 가능 여부를 결정한다.Describing in detail how the textile product production feasibility determination unit 130 determines the feasibility of textile product production for each producer, the textile product requirement information received from the buyer terminal M1, and the producer order quantity information reception unit Textile products are produced by inputting the current textile product order quantity information received from (120) into an artificial neural network machine-learned using a dataset of textile product requirements information, textile product order quantity information, and textile product production availability information. Decide whether it is possible.
생산 가능 업체 정보 제공부(140)는 섬유제품 생산 가능 여부 결정부(130)에 의해 결정된 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 구매자 단말(M1)에 제공하는 역할을 한다.The information providing unit 140 capable of producing a production company selects a production company based on the information on the ability to produce textile products for each producer determined by the determination unit 130, and provides information about the selected production company capable of producing the product. It serves to provide to the buyer terminal (M1).
선택된 생산 가능 생산 업체에 대한 정보에는 생산 업체의 이력 정보(예컨대, 회사 현황, 회사 개요, 재무 정보, 납품 실적 등의 회사 정보), 및 통합 평가 점수 정보(납품 이력, 신뢰도 및 납품 가격에 대해 가중치를 부여하여 산정한 점수 정보)가 포함되어 있다.Information about the selected production company includes the producer's history information (e.g., company information such as company status, company overview, financial information, delivery performance, etc.), and integrated evaluation score information (weighted for delivery history, reliability, and delivery price). (score information calculated by assigning) is included.
생산 오더 정보 제공부(140)는 구매자 단말(M1)로부터 최종적으로 선택된 하나의 생산 업체 선택 정보를 수신하고, 선택된 해당 생산 업체의 단말(M2)에 섬유제품 생산 오더 정보를 제공하는 역할을 한다.The production order information provider 140 receives information on the selection of a finally selected production company from the buyer terminal (M1) and provides textile product production order information to the terminal (M2) of the selected production company.
이하, 상기한 바와 같이 구성된 본 발명의 실시예에 의한 섬유제품 협업 관리 서버를 이용한 섬유제품 협업 관리 방법에 대해서 설명하기로 한다.Hereinafter, a textile product collaboration management method using a textile product collaboration management server according to an embodiment of the present invention configured as described above will be described.
도 2는 도 1의 섬유제품 협업 관리 서버를 이용한 섬유제품 협업 관리 방법을 설명하기 위한 플로우챠트로서, 여기서 S는 스텝(step)을 의미한다.FIG. 2 is a flowchart for explaining a textile product collaboration management method using the textile product collaboration management server of FIG. 1, where S stands for step.
먼저, 섬유제품 협업 관리 서버(100)가 구매자 단말(M1)로부터 섬유제품 요구 사항 정보를 수신하고(S10), 해당 섬유제품 요구 사항 정보를 복수의 생산 업체 단말들(M2)에 송신함과 아울러 현재의 섬유제품 수주량 정보 요청 신호를 복수의 생산 업체 단말들(M2)에 송신한다(S20).First, the textile product collaboration management server 100 receives textile product requirement information from the buyer terminal (M1) (S10), and transmits the textile product requirement information to a plurality of producer terminals (M2). A request signal for information on the current textile product order quantity is transmitted to a plurality of production company terminals (M2) (S20).
다음, 섬유제품 협업 관리 서버(100)가 생산 업체 단말들(M2)로부터 현재의 섬유제품 수주량 정보를 수신한다(S30).Next, the textile product collaboration management server 100 receives information on the current textile product order quantity from the production company terminals (M2) (S30).
다음, 섬유제품 협업 관리 서버(100)가 스텝(S10) 및 스텝(S30)에서 수신된 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정한다(S40).Next, the textile product collaboration management server 100 analyzes the textile product requirements information and current textile product order quantity information received from steps S10 and S30 using AI (Artificial Intelligence) to produce textile products for each manufacturer. Decide whether or not (S40).
다음, 섬유제품 협업 관리 서버(100)가 스텝(S40)에서 결정된 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고(S50), 선택된 생산 가능 생산 업체에 대한 정보(생산 업체의 이력 정보 및 통합 평가 점수 정보를 포함)를 구매자 단말(M1)에 제공한다(S60).Next, the textile product collaboration management server 100 selects a production company capable of producing textile products based on the information on whether or not each production company can produce textile products determined in step S40 (S50), and provides information on the selected production company capable of production (production company (including history information and integrated evaluation score information) is provided to the buyer terminal (M1) (S60).
다음, 섬유제품 협업 관리 서버(100)가 구매자 단말(M1)로부터 생산 업체 선택 정보(구매자 단말에 의해 최종적으로 선택한 생산 업체의 정보를 의미함)를 수신하고(S70), 선택된 해당 생산 업체 단말(M2)에 섬유제품 생산 오더 정보를 제공한다(S80). Next, the textile product collaboration management server 100 receives producer selection information (meaning information on the producer finally selected by the buyer terminal) from the buyer terminal (M1) (S70), and the selected producer terminal ( Provides textile product production order information to M2) (S80).
한편, 상기 스텝(S60)에 대해 상세히 설명하면 다음과 같습니다.Meanwhile, the above step (S60) is described in detail as follows.
먼저, 섬유제품 협업 관리 서버(100)가 데이터베이스(해당 서버 자체에 존재하거나 외부에 별도로 존재함)로부터 선택된 생산 업체들의 정보(생산 업체의 이력 정보, 납품 이력 정보, 신뢰도 정보, 납품 가격 정보를 포함)를 수집한다(S61).First, the textile product collaboration management server 100 includes information (including producer history information, delivery history information, reliability information, and delivery price information) of producers selected from a database (existing in the server itself or separately externally). ) is collected (S61).
다음, 섬유제품 협업 관리 서버(100)가 스텝(S61)에서 수집된 납품 이력 정보, 신뢰도 정보 및 납품 가격 정보에 대해 가중치를 부여하여 생산 업체별로 통합 평가 점수를 산정한다(S63).Next, the textile product collaboration management server 100 calculates an integrated evaluation score for each manufacturer by weighting the delivery history information, reliability information, and delivery price information collected in step S61 (S63).
다음, 섬유제품 협업 관리 서버(100)가 생산 업체별로 생산 업체의 이력 정보[스텝(S63)에서 수집된 정보] 및 통합 평가 점수 정보[스텝(S63)에서 산정된 정보]를 매칭시키고, 매칭된 해당 정보를 구매자 단말(M1)에 제공한다(S65). Next, the textile product collaboration management server 100 matches the producer's history information [information collected in step S63] and integrated evaluation score information [information calculated in step S63] for each producer, and the matched The relevant information is provided to the purchaser terminal (M1) (S65).
본 발명의 실시예에 의한 섬유제품 협업 관리 서버 및 이를 이용한 섬유제품 협업 관리 방법에 의하면, 구매자 단말로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들에 해당 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보요청 신호를 송신하여 현재의 섬유제품 수주량 정보를 수신하고, 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하고, 결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하여 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하도록 구성됨으로써, 섬유산업에서 구매자와 생산 업체 간의 스마트 협업을 가능하게 하여 열악한 섬유 업체의 경쟁력 향상을 도모할 수 있다. According to the textile product collaboration management server and the textile product collaboration management method using the same according to an embodiment of the present invention, textile product requirement information is received from the purchaser terminal, and the textile product requirement information and current fiber are sent to the producer terminals. Receive current textile product order quantity information by sending a product order quantity information request signal, analyze the textile product requirements information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether or not textile products can be produced by each manufacturer. , select a producer capable of producing the textile product based on the determined information on the ability to produce textile products for each producer, provide information on the selected production capable producer to the buyer terminal, receive producer selection information, and send information to the selected producer terminal. By being configured to provide textile product production order information, it can enable smart collaboration between buyers and producers in the textile industry, thereby improving the competitiveness of underprivileged textile companies.
도면과 명세서에는 최적의 실시예가 개시되었으며, 특정한 용어들이 사용되었으나 이는 단지 본 발명의 실시형태를 설명하기 위한 목적으로 사용된 것이지 의미를 한정하거나 특허청구범위에 기재된 본 발명의 범위를 제한하기 위하여 사용된 것은 아니다. 그러므로 본 기술 분야의 통상의 지식을 가진 자라면 이로부터 다양한 변형 및 균등한 타 실시예가 가능하다는 점을 이해할 수 있을 것이다. 따라서 본 발명의 진정한 기술적 보호범위는 첨부된 특허청구범위의 기술적 사상에 의해 정해져야 할 것이다.In the drawings and specification, optimal embodiments are disclosed, and specific terms are used, but these are used only for the purpose of describing embodiments of the present invention, and are used to limit the meaning or limit the scope of the present invention described in the patent claims. It didn't happen. Therefore, those skilled in the art will understand that various modifications and other equivalent embodiments are possible. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the attached patent claims.

Claims (6)

  1. 구매자 단말(M1)로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들(M2)에 상기 섬유제품 요구 사항 정보를 송신함과 아울러 상기 생산 업체 단말들에 현재의 섬유제품 수주량 정보 요청 신호를 송신하도록 구성된 요구 사항 정보 관리부(110);Receiving textile product requirement information from the buyer terminal (M1), transmitting the textile product requirement information to the production company terminals (M2), and transmitting a request signal for information on the current textile product order quantity to the production company terminals. a requirements information management unit 110 configured to;
    상기 생산 업체 단말들로부터 현재의 섬유제품 수주량 정보를 수신하도록 구성된 생산 업체 수주량 정보 수신부(120);a producer order quantity information receiving unit 120 configured to receive information on the current textile product order quantity from the production company terminals;
    상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하도록 구성된 섬유제품 생산 가능 여부 결정부(130);A textile product production feasibility determination unit 130 configured to analyze the textile product requirements information and current textile product order information using AI (Artificial Intelligence) to determine whether textile products can be produced for each manufacturer;
    결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하도록 구성된 생산 가능 업체 정보 제공부(140); 및A capable production company information provider 140 configured to select a production company capable of producing textile products based on the determined information on the possibility of producing textile products for each production company and provide information about the selected production company capable of producing the product to the buyer terminal; and
    상기 구매자 단말로부터 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하도록 구성된 생산 오더 정보 제공부(150);를 포함하는 섬유제품 협업 관리 서버.A textile product collaboration management server comprising a production order information provider (150) configured to receive production company selection information from the buyer terminal and provide textile product production order information to the selected producer terminal.
  2. 제1 항에 있어서,According to claim 1,
    상기 섬유제품 요구 사항 정보는 구매 품목, 구매 품목별 수량, 및 구매 품목별 납기 일을 포함하고,The textile product requirements information includes purchase items, quantity for each purchase item, and delivery date for each purchase item,
    상기 섬유제품 수주량 정보는 수주한 품목별 수주량을 포함하는 섬유제품 협업 관리 서버.The textile product order quantity information is a textile product collaboration management server that includes the order quantity for each item ordered.
  3. 제1 항에 있어서,According to claim 1,
    상기 섬유제품 생산 가능 여부 결정부가 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 것은 수신된 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를, 섬유제품 요구 사항 정보, 섬유제품 수주량 정보 및 섬유제품 생산가능 여부 정보의 데이터셋에 의해 기계학습된 인공신경망에 입력시켜 섬유제품 생산 가능 여부를 결정하는 것인 섬유제품 협업 관리 서버.The determination department of whether textile products can be produced is determined by each producer based on the received textile product requirements information and current textile product order quantity information, textile product requirements information, textile product order quantity information, and textile product information. A textile product collaboration management server that determines whether textile products can be produced by inputting a data set of production availability information into a machine-learned artificial neural network.
  4. 섬유제품 협업 관리 서버를 이용한 섬유제품 협업 관리 방법으로서,As a textile product collaboration management method using a textile product collaboration management server,
    섬유제품 협업 관리 서버(100)가 구매자 단말(M1)로부터 섬유제품 요구 사항 정보를 수신하고, 생산 업체 단말들(M2)에 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보요청 신호를 송신하는 단계;The textile product collaboration management server 100 receives textile product requirement information from the buyer terminal (M1) and transmits the textile product requirement information and the current textile product order quantity information request signal to the producer terminals (M2). step;
    상기 섬유제품 협업 관리 서버가 상기 생산 업체 단말들로부터 현재의 섬유제품 수주량 정보를 수신하는 단계;The textile product collaboration management server receiving current textile product order quantity information from the production company terminals;
    상기 섬유제품 협업 관리 서버가 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를 AI(Artificial Intelligence) 분석하여 생산 업체별로 섬유제품 생산 가능 여부를 결정하는 단계;The textile product collaboration management server analyzes the textile product requirements information and current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced for each manufacturer;
    상기 섬유제품 협업 관리 서버가 결정된 상기 생산 업체별 섬유제품 생산 가능 여부 정보를 기초로 생산 가능 생산 업체를 선택하고, 선택된 생산 가능 생산 업체에 대한 정보를 상기 구매자 단말에 제공하는 단계; 및The textile product collaboration management server selecting a production company capable of producing textile products based on the determined information on whether or not each production company can produce textile products, and providing information about the selected production company capable of producing the product to the buyer terminal; and
    상기 섬유제품 협업 관리 서버가 상기 구매자 단말로부터 생산 업체 선택 정보를 수신하고, 선택된 생산 업체 단말에 섬유제품 생산 오더 정보를 제공하는 단계;를 포함하는 섬유제품 협업 관리 방법.A textile product collaboration management method comprising: the textile product collaboration management server receiving producer selection information from the buyer terminal and providing textile product production order information to the selected producer terminal.
  5. 제4 항에 있어서,According to clause 4,
    상기 섬유제품 요구 사항 정보는 구매 품목, 구매 품목별 수량, 및 구매 품목별 납기 일을 포함하고,The textile product requirements information includes purchase items, quantity for each purchase item, and delivery date for each purchase item,
    상기 섬유제품 수주량 정보는 수주한 품목별 수주량을 포함하는 섬유제품 협업 관리 방법.The textile product order quantity information is a textile product collaboration management method including the order quantity for each ordered item.
  6. 제4 항에 있어서,According to clause 4,
    상기 섬유제품 생산 가능 여부 결정 단계는 상기 섬유제품 협업 관리 서버가 수신된 상기 섬유제품 요구 사항 정보 및 현재의 섬유제품 수주량 정보를, 섬유제품 요구 사항 정보, 섬유제품 수주량 정보 및 섬유제품 생산가능 여부 정보의 데이터셋에 의해 기계학습된 인공신경망에 입력시켜 섬유제품 생산 가능 여부를 결정하는 단계를 포함하는 섬유제품 협업 관리 방법.In the step of determining whether the textile product can be produced, the textile product collaboration management server determines the received textile product requirements information and current textile product order quantity information, textile product requirement information, textile product order quantity information, and textile product production availability information. A textile product collaboration management method that includes the step of determining whether textile products can be produced by inputting the data set into an artificial neural network machine-learned.
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