WO2023158121A1 - Procédé de création de données en vue de l'établissement d'un système de fabrication intelligent global et d'une normalisation internationale - Google Patents

Procédé de création de données en vue de l'établissement d'un système de fabrication intelligent global et d'une normalisation internationale Download PDF

Info

Publication number
WO2023158121A1
WO2023158121A1 PCT/KR2023/000990 KR2023000990W WO2023158121A1 WO 2023158121 A1 WO2023158121 A1 WO 2023158121A1 KR 2023000990 W KR2023000990 W KR 2023000990W WO 2023158121 A1 WO2023158121 A1 WO 2023158121A1
Authority
WO
WIPO (PCT)
Prior art keywords
product
raw
supply
supplier
information
Prior art date
Application number
PCT/KR2023/000990
Other languages
English (en)
Korean (ko)
Inventor
박관영
Original Assignee
화이트타이거그라운드 유한책임회사
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 화이트타이거그라운드 유한책임회사 filed Critical 화이트타이거그라운드 유한책임회사
Publication of WO2023158121A1 publication Critical patent/WO2023158121A1/fr

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Definitions

  • the present invention generates supplier production orders that are automatically performed in a server system.
  • a product supplier score is calculated for each of one or more product suppliers that
  • each raw and subsidiary material supply For one or more raw and subsidiary material supplies that supply related raw and subsidiary materials, each raw and subsidiary material supply
  • the core is calculated, and the supply order date for the product is determined according to the raw and subsidiary material prices of the product.
  • It relates to a method of automatically determining and generating a supplier production order that is automatically performed in a server system.
  • Manufacturing facilities such as linters, robots, and post-processing equipment (fumigation, polishing, painting, etc.)
  • the system intelligently plans by itself by automating the production process and grasping the real-time factory situation.
  • the accumulated order data is learned through deep learning and developed.
  • the present invention generates supplier production orders that are automatically performed in a server system.
  • a product supplier score is calculated for each of one or more product suppliers that
  • each raw and subsidiary material supply For one or more raw and subsidiary material supplies that supply related raw and subsidiary materials, each raw and subsidiary material supply
  • the core is calculated, and the supply order date for the product is determined according to the raw and subsidiary material prices of the product.
  • an embodiment of the present invention is a server
  • a method of generating a supplier's production order automatically performed by a system comprising: an order information receiving step of receiving information about a corresponding order when a consumer orders a product; For each of the product supplying companies that supply the product, the standard wages of the country where the product supplying company is located
  • Second product supply score according to wage information, exchange rate of the country where the product supply company is located
  • a score is calculated, and one or more products are supplied based on the calculated product supplier score.
  • the first raw and subsidiary material supply score according to the quasi-price, the raw and subsidiary material supply company
  • the raw and subsidiary material supplier score is calculated for each of the raw and subsidiary material supplying companies.
  • Raw and subsidiary material supplier decision step For each of the raw and subsidiary materials related to the product,
  • the raw and subsidiary material supplier candidates and prizes for the product are selected by the user.
  • the final raw and subsidiary material supplier and the final product supplier are determined from among the existing product supplier candidates, and the final raw and subsidiary material supplier and the final product supplier are provided with the relevant product on the supply order date.
  • Automatically in the server system including; supply order step of ordering the order quantity for
  • the product supplier determination step is a country-specific table
  • a product supplier score is calculated for each period, and the first product supply score is
  • the standard wage policy of the country where the company supplying the product is located Based on the semi-wage information, the standard wage policy of the country where the company supplying the product is located
  • a method for automatically generating a production order for a supplier which determines a product supplier candidate and provides the determined one or more product supplier candidates to a user at each predetermined period.
  • the step of determining the supplier of raw and subsidiary materials is a step of determining the supplier of raw and subsidiary materials
  • the first raw and subsidiary material supply score is based on the international standard price information for each raw and subsidiary material.
  • the second raw and subsidiary material supply score is the supply price information for each raw and subsidiary material supplier
  • the lower the value, the higher the calculation, and the third raw material supply score is the exchange rate information for each country.
  • One or more companies corresponding to the re-supplier score are determined as candidates for raw and subsidiary material suppliers, and
  • One or more predetermined raw and subsidiary material supplier candidates are provided to the user at each predetermined period.
  • the step of determining the supply order date is
  • the current date can be determined as the order date.
  • the absolute value of the change in the current price of the raw and subsidiary material for 3 months is the absolute value of the price change trend information for the raw and subsidiary material related to the product.
  • the current date may be determined as the order date.
  • the server system the consumer is the main
  • Big data is generated from a plurality of pieces of information, stored in a database, and the data
  • a machine learning module may be included.
  • an order information receiving unit for receiving information about the order; the product
  • the first product supply score according to the gold information, the product supply company entered into the server system
  • Second product supply score according to corporate wage information, exchange rate of the country where the product supply company is located
  • a supplier score is calculated, and one or more products are selected based on the calculated product supplier score.
  • a product supplier decision unit that determines supplier candidates; Based on a pre-stored mapping table, a raw and subsidiary material derivation unit for deriving one or more raw and subsidiary materials related to the product; related to the product
  • the first raw and subsidiary material supply score according to the quasi-price, the raw and subsidiary material supply company
  • the raw and subsidiary material supplier score is calculated for each of the raw and subsidiary material supplying companies.
  • a supply order date determination unit for determining the supply order date of the corresponding product; and supply order date
  • the final raw material supplier and the final product supplier are determined, and the above
  • It provides a server system comprising a; supply ordering unit for ordering the order amount.
  • biometrics capable of communicating with a consumer terminal
  • the server system By transmitting bio information to the server system through the consumer terminal, the server system
  • one or more that can produce a specific product are provided. According to one embodiment of the present invention, one or more that can produce a specific product
  • the sub-wage the exchange rate of the country in which the company is located, the location of the company and the company
  • the server system provides raw and subsidiary materials online.
  • FIG. 2 schematically illustrates a configuration in which a server system according to an embodiment of the present invention generates a supplier production order based on a plurality of pieces of information.
  • FIG. 3 schematically shows the process of product supplier determination step according to an embodiment of the present invention
  • Figure 4 outlines the process of the raw and subsidiary material supplier determination step according to an embodiment of the present invention
  • 5 shows raw and subsidiary materials related to the corresponding product for each product according to an embodiment of the present invention.
  • mapping table that can be derived is schematically shown.
  • 6 to 7 show the main price change trend information according to an embodiment of the present invention.
  • FIG. 8 shows two or more raw and subsidiary materials related to a specific product according to an embodiment of the present invention.
  • the process of determining the order date is schematically shown.
  • FIG 9 schematically shows a global smart manufacturing system according to an embodiment of the present invention.
  • FIG. 10 schematically illustrates the internal configuration of a computing device according to an embodiment of the present invention.
  • systems may include additional devices, components and/or modules, etc.
  • 'network', 'module', 'system', 'interface', etc. are generally computer-related entities.
  • the component may be named a second component, and similarly, the second component may also be referred to as the first component.
  • It can be implemented as a computer or portable terminal that can access a server or other terminal through
  • the computer is, for example, a laptop equipped with a web browser (WEB Browser),
  • a portable terminal includes, for example, a portable terminal.
  • PCS Personal Communications Service
  • GSM Global System for Mobile communications
  • PDC Personal Digital Cellular
  • PHS Personal Handyphone System
  • PDA Personal Handyphone System
  • CDMA Code Division Multiple Access
  • W-CDMA Wideband Code Division Multiple Access
  • Wibro Wireless Broadband Internet
  • network means
  • LAN Local Area Network
  • WAN Wide Area Network
  • VAN Value Added Network
  • the first wage For each business, the first wage according to the standard wage information of the country where the product supply company is located
  • a product supplier score is obtained for each of the product supply companies.
  • the first raw and subsidiary material supply score according to the standard price, the raw and subsidiary material supply company is the above raw and subsidiary material
  • Third-party subsidiary material supply score that is set higher as the exchange rate of the country where the class company is located is lower
  • Supply order date determination group that determines the supply order date of the product supplier candidate
  • It includes a supply order step (S600) of ordering the order quantity for the product on the door date.
  • the consumer orders a certain product.
  • a consumer can purchase a product desired by the consumer through a consumer terminal, and the server system 1000 includes a plurality of consumer terminals.
  • bio information may include the person's bio information and survey information.
  • the bio information, the consumer group may include the person's bio information and survey information.
  • the bio information, the consumer group may include the person's bio information and survey information.
  • the survey information includes the server system (1000)
  • the server system 1000 receives information from the plurality of terminals.
  • a product supplier score is calculated, and 1 or more is calculated based on the product supplier score.
  • the first product supply score produces or
  • the first product supply score is calculated higher as the country's standard wage information is lower.
  • the second product supply score is based on the average wage information of the product supply company.
  • the second product supply score is the average wage information of the product supply company
  • the third product supply score is the exchange rate of the country where the product supply company is located.
  • the exchange rate of the corresponding country may be low.
  • the terminal uses wired communication from an external system that provides real-time exchange rate information for each country.
  • the information is processed into data that can be used in the present invention and transferred to the server system (1000).
  • the fourth product supply score is based on location information where the product supply company is located.
  • the fourth product supply score is for producing or supplying the product.
  • the distance information is the product supply company
  • the fifth product supply score is the corresponding product supply company's
  • the fifth product supply score is the product supply
  • the inventory quantity of the product held by the company is large, and the stock holding period of the product is long.
  • the information on the average wage for each company is transmitted to the external system.
  • the external system that transmits the inventory quantity information for each company is the same system, and the product supply
  • mapping table is
  • the server system 1000 is a source for supplying the raw and subsidiary materials.
  • the 1st raw material supply score, the 2nd raw material supply score, and the 3rd raw material supply score are subsidiary material supply companies.
  • a raw and subsidiary material supplier score is calculated, and 1 or more is calculated based on the raw and subsidiary material supplier score.
  • the first raw and subsidiary material supply score is the country of the raw and subsidiary materials.
  • the first raw and subsidiary material supply score is the raw and subsidiary material
  • the second raw and subsidiary material supply score is the raw and subsidiary material supplier
  • the third raw material supply score is the country where the raw material supplier is located.
  • the third raw material supply score is
  • the user terminal is an external system that provides exchange rate information for each country in real time.
  • the terminal processes the information into data that can be used in the present invention.
  • the price change trend information is related to the price of the raw and subsidiary materials over time.
  • the user terminal from an external system
  • the corresponding price change trend information is transmitted to the server system (1000).
  • the order date of the product can be determined according to the first or second standard set in the
  • the supply order step (S600) corresponds to the supply order date determination step (S500).
  • the user decides in the product supplier determination step (S200).
  • the final product supplier can be determined for one or more product supplier candidates
  • the final product supplier provides one or more of the above products.
  • the final raw and subsidiary material supplier has the highest raw material supplier among the above one or more raw and subsidiary material supplier candidates
  • the server system 1000 automatically performs the first operation as described above.
  • the company with the highest product supplier score is selected as the final product supplier, and the company with the highest score
  • a company that records the subsidiary material supplier score is selected as the final raw material supplier
  • one or more companies may be determined as the final supplier by a user's operation.
  • the stem 1000 is determined in the supply order date determination step (S500) for the corresponding product.
  • the supply order may be placed.
  • FIG. 2 is a server system 1000 according to an embodiment of the present invention a plurality of information
  • the server system 1000 is a consumer terminal and a user terminal
  • the server system 1000 receives data from the consumer terminal.
  • the order information is for FIG.
  • (1000) may perform the order information receiving step (S100) by receiving the order information.
  • the order information is the bio information of the consumer.
  • the survey information is
  • Product A may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the bio tablet may include one or more of price and design satisfaction.
  • the view includes the consumer's body shape information, constitutional information, nutritional status, and life pattern,
  • the biometric information can be measured through a biometric sensor, and the biometric sensor is
  • It is capable of communicating with the consumer terminal, and transmits the biometric information of the consumer to the consumer terminal.
  • the server system 1000 is a station from the user terminal.
  • Standard wage information by category company wage information by product supply company, exchange rate information by country, product supplier company
  • the server system 1000 from the first external system,
  • the first external system Receives standard wage information by category and exchange rate information by country.
  • the first external system receives standard wage information by category and exchange rate information by country.
  • the user terminal receives the standard wage for each country from the first external system.
  • the standard wage information for each country and the exchange rate information for each country can be used in the present invention.
  • the server system 1000 the standard wage information for each country received from the user terminal
  • the server system 1000 from the second external system, the product
  • the second external system for example, of the product supply company
  • the user terminal is the product supplier from the second external system
  • Quantity information is received at predetermined intervals, and the user terminal is the product supply company.
  • Wage information for each company location information of the product supply company, and inventory count of the product supplier company
  • the server system 1000 After processing the quantity information into data that can be used in the present invention, the server system 1000
  • the second product supply of the product supplier company Based on the inventory quantity information of the product supply company, the second product supply of the product supplier company
  • a score, a fourth product supply score, and a fifth product supply score are calculated.
  • the server system 1000 is a source from the user terminal.
  • the server system 1000 from the third external system,
  • the third external system is one of the present invention
  • It may correspond to a service server that provides a number of commodity indexes and prices of raw and subsidiary materials.
  • the user terminal is configured by the raw and subsidiary materials from the third external system.
  • the server system 1000 It is desirable to transmit to the server system (1000).
  • server system 1000 from the fourth external system,
  • the fourth external system for example,
  • the user terminal supplies the raw and subsidiary materials from the fourth external system.
  • the server system (100) is preferable to transmit to the server system 1000.
  • the server system (100) is preferable to transmit to the server system 1000.
  • the second raw and subsidiary material supply score of the corresponding raw and subsidiary material supply company is calculated.
  • server system 1000 may perform the raw subsidiary material derivation step (S300).
  • mapping table is received from the user terminal.
  • raw and subsidiary material information related to the corresponding product is sent to the user terminal.
  • mapping table is created from An embodiment of the mapping table is shown in FIG. 5 .
  • the order date for the product can be determined.
  • server system 1000 corresponds to the customer's order.
  • Big data is generated from beams, stored in a database, and stored in the database.
  • Machine learning module that generates data for international standardization based on the accumulated big data
  • the server system 1000 the plurality of information shown in FIG.
  • the server system 1000 generates big data based on the plurality of pieces of information.
  • the system 1000 through the machine learning model provided in the inside of the server system 1000,
  • Figure 3 is a product supplier determination step (S200) according to an embodiment of the present invention
  • the product supplier determination step (S200) is
  • Standard wage information for each product corporate wage information for each product supply company, exchange rate information for each country,
  • server system 1000 receiving location information and inventory quantity information of product supply companies
  • a product supplier score is calculated for each predetermined period, and the first product supply score is
  • the company that supplies the product is the server system
  • the product supply score is based on the exchange rate information for each country, and the company that supplies the product
  • One or more companies are determined as product supplier candidates, and the determined one or more product supplier candidates are selected.
  • the system 1000 based on the standard wage information for each country received from the user terminal,
  • a first product supply score for each product supply company that supplies the corresponding product is calculated.
  • the first product supply score is previously stored in the server system (1000).
  • the mapping table is a table in which scores corresponding to standard wage information are mapped according to preset criteria.
  • the first product for each of the above product supply companies according to the updated standard wage information for each country
  • the server system 1000 supplies products received from the user terminal.
  • a second product supply score is calculated. More specifically, the second product supply score is
  • the second product supply score mapping table is calculated for each company according to a predetermined criterion.
  • the server system 1000 is configured for each updated product supply company.
  • the server system 1000 is configured for each country received from the user terminal.
  • the third product supply score is the server time
  • the third product supply score mapping table is calculated according to the preset criteria.
  • Exchange rate information for each country above is based on a preset period.
  • the preset cycle is 8 hours or 12 hours
  • the server system 1000 supplies each of the products according to the updated exchange rate information for each country.
  • a third product supply score for the company is calculated.
  • the server system 1000 supplies products received from the user terminal.
  • the fourth product is provided for each company that supplies the product.
  • the fourth product supply score is the server system
  • the fourth product supply score mapping table corresponds to the product supply company and the
  • the fourth product supply score is not only the physical distance between the product supply company and the consumer
  • product supplier A has consumer A and
  • Person B is different from the country of origin and can only move logistics by air or ship.
  • Consumer B orders more than the 4th product supply score of product supplier A for the product ordered by child A
  • the fourth product supply score of product supplier A for one product is calculated lower.
  • the location of the consumer is the final delivery position of the product ordered by the consumer.
  • the server system 1000 supplies products received from the user terminal.
  • a fifth product supply score is calculated. More specifically, the fifth product supply score is
  • the fifth product supply score mapping table is calculated, and the fifth product supply score mapping table is calculated according to a preset standard.
  • the product supply company has a large number of stocks of the product, and the corresponding product
  • the server system 1000 Whenever the information is updated, the server system 1000, the inventory of the updated product supply company
  • the 5th product supply score for each product supply company is calculated
  • the server system 1000 sums the first to fifth product supply scores.
  • the server system 1000 is each of a plurality of product supply companies that supply the corresponding product.
  • a product supplier score is calculated for each, and among them, one or more products with a high product supplier score
  • step S600 After the supply order date of the product is determined in step S500, in step S600,
  • S400 a raw subsidiary material supplier determination step
  • the server system (1000) receiving the information, the raw and subsidiary material supplier JASCO is performed at a preset period.
  • the first raw and subsidiary material supply score is calculated, and the first raw and subsidiary material supply score is the international standard price information for each raw and subsidiary material.
  • the second raw and subsidiary material supply score is based on the supply price information for each raw and subsidiary material supplier.
  • the stem 1000 is based on the international standard price information for each raw and subsidiary material received from the user terminal.
  • a first raw subsidiary material supply score is calculated. More specifically, the first raw subsidiary material supply
  • the core is a first raw subsidiary material supply score mapping table previously stored in the server system 1000 (not shown).
  • the first raw and subsidiary material supply score mapping table is based on a preset standard
  • the server system 1000 is the raw and subsidiary materials received from the user terminal
  • the second product supply score for each raw and subsidiary material supplier is calculated. More specifically,
  • the second raw and subsidiary material supply score is the second raw and subsidiary material supply pre-stored in the server system 1000.
  • the table shows the year of raw and subsidiary material supply companies that supply the raw and subsidiary materials according to the preset criteria.
  • the server system 1000 Whenever the supply price information of the business is updated, the server system 1000
  • the server system 1000 is configured for each country received from the user terminal.
  • each raw and subsidiary material that supplies raw and subsidiary materials related to the product
  • the subsidiary material supply score is mapped to the third raw subsidiary material supply score previously stored in the server system (1000).
  • the individual exchange rate information is updated every predetermined period, and as an embodiment of the present invention, the above
  • the preset period is preferably set to 8 hours or 12 hours. by country above
  • the server system 1000 updates the exchange rate for each country.
  • the table is preferably the same mapping table as the third raw material supply score mapping table.
  • the server system 1000 stores the first to third raw subsidiary material supply scores.
  • the raw and subsidiary material supplier score is calculated, and the raw and subsidiary material supplier score is
  • the server system 1000 is a raw subsidiary material related to the product
  • raw and subsidiary material suppliers with a high raw and subsidiary material supplier score of 1 or more
  • step S600 After the supply order date of the product is determined in step S500, in step S600,
  • the business is determined as the final raw material supplier.
  • 5 is a source related to a corresponding product for each product according to an embodiment of the present invention.
  • mapping table from which sub-materials can be derived is schematically shown.
  • mapping table is related to the service operated by the user.
  • X 4 corresponds to raw materials or subsidiary materials provided by raw and subsidiary material suppliers.
  • product A uses raw material X 1
  • product B uses raw material X 1
  • product B uses raw material X 1
  • product B uses raw material X 1
  • product B uses raw material X 1
  • the product uses subsidiary materials X 4 .
  • product C uses both raw material X 1 and subsidiary material X 3
  • product D uses both raw material X 2 and subsidiary material X 4 .
  • the mapping table may show the respective ratios of the raw and subsidiary materials used in the product.
  • 6 to 7 show price change trend information according to an embodiment of the present invention.
  • the supply order date determination step (S500) is
  • the current date is determined as the order date.
  • the supply order date determination step (S500) is
  • the price of goods meets the second standard in which the absolute value of the change in the raw and subsidiary materials for 3 months is preset.
  • the current date is determined as the order date.
  • Figures 6 to 7 are original and rich according to an embodiment of the present invention
  • the price trend information shown in FIGS. 6 to 7 is as described above.
  • the price trend information is transmitted to the user terminal in the form of a chart.
  • the server system 1000 records the current date.
  • the average price of the raw and subsidiary materials for 6 months is calculated, and the current price of the raw and subsidiary materials is calculated.
  • the current date is determined as the order date.
  • the preset first criterion is set to 20%
  • server system 1000 is currently
  • the date of the order is determined by the date of the order.
  • the price change amount is the amount of the raw and subsidiary materials during the period.
  • the change in price during the month is less than 20% of the average price of the raw material for 3 months
  • the predetermined first criterion and the second criterion are used
  • 6 and 7 are price change trend information and public information for explanation.
  • the server system 1000 Preferably, as an embodiment of the present invention, the server system 1000
  • the current price of the raw and subsidiary material is the corresponding price for 6 months.
  • the average price of raw and subsidiary materials is less than the first standard above, and the price of the raw and subsidiary materials for 3 months
  • the server system 1000 uses
  • the order date is the price of the raw and subsidiary materials
  • the user determines the supplier.
  • a final supplier is determined for one or more supplier candidates determined in step S400. This
  • the user determines the supply order date step
  • the optimal order date is selected from the server system (1000) or
  • raw and subsidiary materials satisfy the order date determination condition.
  • the server system 1000 determines the price change trend of the raw and subsidiary materials.
  • FIG. 8 is the raw and subsidiary materials of product C shown in the mapping table of FIG. 5
  • Figure 8 (a) shows price change trend information for raw and subsidiary material X1
  • Figure 8 (b) shows price change trend information for raw and subsidiary material X 3 .
  • the order date can be determined through the method described later. if
  • both raw and subsidiary materials X 1 and X 3 satisfy the order date determination condition.
  • Raw and subsidiary materials X 1 and X 3 for one raw and subsidiary material, the applicable raw and subsidiary material for 3 months
  • the time when the average price for the month falls below the first standard can be determined as the order date.
  • the server system 1000 is fast and at a reasonable cost.
  • each of the raw and subsidiary materials X 1 and X 3 is the main
  • the order date can be determined even when the door date determination condition is satisfied, and at the same time
  • the absolute value of the change in price during the month is less than or equal to the second criterion, or
  • the order date may be determined even when the absolute value of the change in price of the subsidiary material X 1 for 3 months is less than or equal to the second criterion and the average price of the raw material X 1 for 6 months is less than or equal to the first criterion.
  • Figure 8 requires two or more raw and subsidiary materials in the present invention for explanation.
  • FIG. 9 shows a global smart manufacturing system according to an embodiment of the present invention.
  • the location corresponds to the shipping address information for the product ordered by the consumer, and shown in FIG.
  • the illustrated raw and subsidiary material supplier corresponds to the above-mentioned raw and subsidiary material supply company, and is shown in FIG.
  • a manufacturing plant corresponds to a product supply company.
  • the supply order date of the product can be automatically determined according to the raw and subsidiary material prices of the product.
  • the supplier production order creation method is used.
  • FIG. 10 illustrates an internal configuration of a computing device according to an embodiment of the present invention.
  • FIG. 10 illustrates an internal configuration of a computing device according to an embodiment of the present invention.
  • the computing device 11000 includes at least one
  • Processor 11100 memory 11200, peripheral interface
  • the computing device may include at least circuitry 11500 and communication circuitry 11600. At this time, the computing device may include at least circuitry 11500 and communication circuitry 11600. At this time, the computing device may include at least circuitry 11500 and communication circuitry 11600. At this time, the computing device may include at least circuitry 11500 and communication circuitry 11600. At this time, the computing device may include at least circuitry 11500 and communication circuitry 11600. At this time, the computing device
  • (11000) may correspond to the server system (1000).
  • the memory 11200 is, for example, a high-speed random access memory (high-speed
  • the memory 11200 is a computing device
  • Access to the memory 11200 in the component may be controlled by the processor 11100.
  • the peripheral device interface 11300 is an input and/or
  • Output peripherals can be coupled to processor 11100 and memory 11200. process
  • the processor 11100 executes a software module or set of instructions stored in the memory 11200.
  • Input/output subsystem 11400 connects various input/output peripherals to peripheral devices.
  • the input/output subsystem 1140 can be coupled to the tooth interface 11300.
  • the input/output subsystem 1140 can be coupled to the tooth interface 11300.
  • the input/output subsystem 1140 can be coupled to the tooth interface 11300.
  • 0) is a monitor, keyboard, mouse, printer, or touch screen or sensor as needed.
  • It may include a controller for coupling the peripherals of the peripherals to the peripherals interface 11300.
  • input/output peripherals use input/output subsystem 11400.
  • the power circuit 11500 supplies power to all or some of the terminal's components.
  • the power circuit 11500 may include a power management system, battery or alternating current.
  • One or more power sources such as (AC), charging system, and power failure detection circuits (power
  • It may contain any other components for creation, management and distribution.
  • the communication circuit 11600 is connected to another computer using at least one external port.
  • the communication circuit 11600 uses an RF circuit as necessary.
  • a computing field for a communication terminal in a mobile environment can have a batch.
  • a computing field for a communication terminal in a mobile environment can have a batch.
  • the device may further include a touch screen or a sensor.
  • a circuit for RF communication of Zigbee, etc. may be included. included in computing device 11000
  • Possible components are one or more signal processing or application specific integrated circuits.
  • Methods according to embodiments of the present invention can be performed through various computing devices.
  • a computer readable medium implemented in the form of program instructions that can be executed
  • the program according to this embodiment is a PC-based program or
  • It may be configured as an application dedicated to a mobile terminal. Apple to which the present invention is applied
  • the application can be installed on the user terminal through the file provided by the file distribution system.
  • the file distribution system provides the file according to the request of the user terminal.
  • It may include a file transmission unit (not shown) for transmission.
  • biometrics capable of communicating with a consumer terminal
  • the server system By transmitting bio information to the server system through the consumer terminal, the server system
  • (1000) has the effect of easily collecting and classifying the bio information of a large number of consumers.
  • one or more capable of producing a specific product one or more capable of producing a specific product
  • the sub-wage the exchange rate of the country in which the company is located, the location of the company and the company
  • the server system 1000 is online

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Software Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Primary Health Care (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne un procédé de génération de commande de production de fournisseur qui est automatiquement effectué dans un système de serveur. Plus particulièrement, un procédé de génération de commande de production de fournisseur est automatiquement effectué dans un système de serveur, afin de fournir un système d'approvisionnement stable et efficace en fonction d'un donneur d'ordre et d'un lieu de livraison final sans être limité par un pays, un score de fournisseur de produit étant calculé pour chacun d'un ou plusieurs fournisseurs de produit fournissant un produit correspondant, un score d'alimentation en matières premières et auxiliaires étant calculé pour chacun d'un ou plusieurs fournisseurs de matières premières et auxiliaires fournissant des matières premières et auxiliaires associées au produit correspondant, et la date de commande d'approvisionnement du produit correspondant étant automatiquement déterminée en fonction du prix des matières premières et auxiliaires du produit correspondant.
PCT/KR2023/000990 2022-02-17 2023-01-19 Procédé de création de données en vue de l'établissement d'un système de fabrication intelligent global et d'une normalisation internationale WO2023158121A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020220020657A KR102484405B1 (ko) 2022-02-17 2022-02-17 글로벌 스마트 제조시스템 구축 및 국제 표준화를 위한 데이터 생성방법
KR10-2022-0020657 2022-02-17

Publications (1)

Publication Number Publication Date
WO2023158121A1 true WO2023158121A1 (fr) 2023-08-24

Family

ID=84924471

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2023/000990 WO2023158121A1 (fr) 2022-02-17 2023-01-19 Procédé de création de données en vue de l'établissement d'un système de fabrication intelligent global et d'une normalisation internationale

Country Status (2)

Country Link
KR (1) KR102484405B1 (fr)
WO (1) WO2023158121A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102484405B1 (ko) * 2022-02-17 2023-01-03 화이트타이거그라운드 유한책임회사 글로벌 스마트 제조시스템 구축 및 국제 표준화를 위한 데이터 생성방법

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003271797A (ja) * 2002-03-14 2003-09-26 Hitachi Ltd 生産計画支援方法、生産計画支援システム、および、生産計画支援プログラム
KR20100123390A (ko) * 2009-05-15 2010-11-24 공경용 환율과 연동된 재화/서비스 거래 시스템 및 방법
KR20150018219A (ko) * 2013-08-09 2015-02-23 주식회사 에스에이치글로벌 사용자 발주관리 시스템
KR20150131422A (ko) * 2014-05-14 2015-11-25 황덕삼 제품 제조 플랫폼 서비스를 제공하는 서버의 동작 방법
KR101909925B1 (ko) * 2016-01-20 2018-10-22 한국전자통신연구원 고객 맞춤 제품 생산을 위한 스마트 제조 시스템 및 방법
KR102484405B1 (ko) * 2022-02-17 2023-01-03 화이트타이거그라운드 유한책임회사 글로벌 스마트 제조시스템 구축 및 국제 표준화를 위한 데이터 생성방법

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003271797A (ja) * 2002-03-14 2003-09-26 Hitachi Ltd 生産計画支援方法、生産計画支援システム、および、生産計画支援プログラム
KR20100123390A (ko) * 2009-05-15 2010-11-24 공경용 환율과 연동된 재화/서비스 거래 시스템 및 방법
KR20150018219A (ko) * 2013-08-09 2015-02-23 주식회사 에스에이치글로벌 사용자 발주관리 시스템
KR20150131422A (ko) * 2014-05-14 2015-11-25 황덕삼 제품 제조 플랫폼 서비스를 제공하는 서버의 동작 방법
KR101909925B1 (ko) * 2016-01-20 2018-10-22 한국전자통신연구원 고객 맞춤 제품 생산을 위한 스마트 제조 시스템 및 방법
KR102484405B1 (ko) * 2022-02-17 2023-01-03 화이트타이거그라운드 유한책임회사 글로벌 스마트 제조시스템 구축 및 국제 표준화를 위한 데이터 생성방법

Also Published As

Publication number Publication date
KR102484405B1 (ko) 2023-01-03

Similar Documents

Publication Publication Date Title
WO2021071012A1 (fr) Appareil et procédé permettant de fournir un service d'achat de produit par identification sans support
WO2023158121A1 (fr) Procédé de création de données en vue de l'établissement d'un système de fabrication intelligent global et d'une normalisation internationale
WO2012153947A2 (fr) Dispositif de commande de del et procédé de commande d'une del l'utilisant
WO2016003233A1 (fr) Procédé de gestion de calendrier, et support d'enregistrement pour l'enregistrement d'un programme pour la mise en oeuvre du procédé
WO2016003108A1 (fr) Appareil de formation d'image, et procédé de guidage de position et système de formation d'image associés
WO2016018017A1 (fr) Système de communication mobile, différents dispositifs mobiles partageant le même numéro de téléphone sur un système de communication mobile et procédé de fourniture de service de communication mobile entre différents dispositifs mobiles partageant un même numéro de téléphone
CN108291952A (zh) 无人机及其飞行状态的监管方法与监控系统
WO2015139232A1 (fr) Procédé, système et serveur de recommandation d'application
WO2021150014A1 (fr) Procédé et dispositif d'auto-optimisation
WO2020067715A1 (fr) Procédé et dispositif pour configurer un nœud en vue de la transmission et de la réception de données
WO2018070669A1 (fr) Système de demande de service et procédé de demande de service utilisant un dispositif de demande de service pour chambre assurant une prise en charge multilingue
WO2019225806A1 (fr) Procédé et dispositif de transmission de puissance sans fil
WO2019177343A1 (fr) Réfrigérateur, et système et son procédé de commande
WO2014030930A2 (fr) Procédé de gestion d'énergie par modélisation d'objet de gestion d'énergie
WO2018004304A1 (fr) Procédé de détection de matériau étranger, et dispositif et système associés
WO2020213941A1 (fr) Système et procédé permettant de fournir du contenu dans un ordiphone
WO2022086178A1 (fr) Procédé de détection d'un objet étranger à l'aide d'une bobine de capteur et dispositif électronique
WO2023008938A1 (fr) Procédé et système de prédiction de dysfonctionnement de la thyroïde d'un sujet
WO2016148377A1 (fr) Appareil plateforme publicitaire
WO2020149713A1 (fr) Procédé et système de paiement par qr de liaison
WO2022139083A1 (fr) Appareil de compensation active de courant permettant de détecter un dysfonctionnement
WO2024191140A1 (fr) Procédé pour l'exécution d'un programme et la commande d'un dispositif sur un téléphone intelligent
WO2015141932A1 (fr) Procédé pour fournir des publicités et appareil correspondant
WO2018155858A1 (fr) Module multi-bobine et récepteur d'énergie sans fil
Durán Nebreda et al. Cryptocurrency whitepaper networks

Legal Events

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

Ref document number: 23756534

Country of ref document: EP

Kind code of ref document: A1