KR20220004797A - Computer applications that implement smart factory, including steps to monitor product production processes. - Google Patents

Computer applications that implement smart factory, including steps to monitor product production processes. Download PDF

Info

Publication number
KR20220004797A
KR20220004797A KR1020200082444A KR20200082444A KR20220004797A KR 20220004797 A KR20220004797 A KR 20220004797A KR 1020200082444 A KR1020200082444 A KR 1020200082444A KR 20200082444 A KR20200082444 A KR 20200082444A KR 20220004797 A KR20220004797 A KR 20220004797A
Authority
KR
South Korea
Prior art keywords
production processes
data
product
smart factory
production
Prior art date
Application number
KR1020200082444A
Other languages
Korean (ko)
Inventor
양수모
Original Assignee
양수모
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 양수모 filed Critical 양수모
Priority to KR1020200082444A priority Critical patent/KR20220004797A/en
Publication of KR20220004797A publication Critical patent/KR20220004797A/en

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41835—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by programme execution
    • 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/25—Manufacturing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Automation & Control Theory (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

Provided is an operating method of a system implementing a smart factory comprising: a step of collecting data for production processes of a product produced from at least one component; a step of predicting, from the data, at least one error process with a high frequency of error occurrences among the production processes; a step of generating at least one verification process unit for verifying the production processes of the product based on the at least one error process; and a step of monitoring the production process of the product according to the at least one verification process unit. Therefore, the present invention is capable of realizing efficient inventory management.

Description

제품의 생산 프로세스들을 모니터링 하는 단계를 포함하는, 스마트팩토리를 구현하는 컴퓨터 응용프로그램{Computer applications that implement smart factory, including steps to monitor product production processes.}Computer applications that implement smart factory, including steps to monitor product production processes.

스마트팩토리를 구현하는 시스템에 관한 것이다.It is about a system that implements a smart factory.

스마트팩토리는 설계, 개발, 제조 및 유통, 물류 등 생산과정에 디지털 자동화 솔루션이 결합된 정보통신기술(ICT)을 적용하여 생산성, 품질, 고객만족도를 향상시키는 지능형 생산공장을 의미한다.Smart factory refers to an intelligent production factory that improves productivity, quality, and customer satisfaction by applying information and communication technology (ICT) combined with digital automation solutions in the production process such as design, development, manufacturing and distribution, and logistics.

근래 대기업들을 위주로 스마트팩토리의 실현에 필요한 설비의 개발 및 도입이 어느 정도 이루어지고 있으나,중소기업들의 경우 대부분 이러한 내용을 자체적으로 추진할 여건이나 역량이 부족하여, 아직까지 중소기업의 제조현장은 ICT 미적용 단계에 머무르는 경우가 많다.따라서, ICT 미적용 단계의 중소기업이 스마트팩토리 기초 수준을 달성하도록 하는 기술이 요구된다.Recently, large enterprises have mainly developed and introduced the facilities necessary for the realization of smart factories to some extent, but most of the small and medium-sized enterprises lack the conditions or capacity to promote these contents on their own. There are many cases where they stay. Therefore, technology is required to enable SMEs in the stage of not applying ICT to achieve the basic level of the smart factory.

제품의 각 생산 프로세스에서 산출되는 데이터를 처리하는 소프트웨어 모듈 및 제품의 생산 현장의 각 생산 프로세스에서 산출되는 데이터를 센싱하는 하드웨어 모듈에 의해 스마트팩토리를 구현하고자 한다.A smart factory is implemented by a software module that processes data generated in each production process of a product and a hardware module that senses data generated in each production process at the production site of a product.

적어도 하나의 부품으로부터 생산되는 제품의 생산 프로세스들에 대한 데이터를 수집하는 데이터 획득 장치; 상기 데이터로부터, 상기 생산 프로세스들 중에서 에러의 발생 빈도가 높은 적어도 하나의 에러 프로세스를 예측하고, 상기 적어도 하나의 에러 프로세스에 기초하여, 상기 제품의 생산 프로세스들을 검증하기 위한 적어도 하나의 검증 프로세스 단위를 생성하는 멀티센서 게이트웨이 장치; 및 상기 적어도 하나의 검증 프로세스 단위에 따라, 상기 제품의 생산 프로세스들을 모니터링 하는 모니터링 장치를 포함하는 스마트팩토리를 구현하는 시스템이 제공된다.a data acquisition device for collecting data on production processes of products produced from at least one part; Predict, from the data, at least one error process having a high frequency of occurrence of errors among the production processes, and based on the at least one error process, at least one verification process unit for verifying the production processes of the product generating a multi-sensor gateway device; and a monitoring device for monitoring the production processes of the product according to the at least one verification process unit.

또 다른 일측에 따르면, 스마트팩토리를 구현하는 시스템의 동작 방법을 하드웨어와 결합하여 실행시키기 위해 매체에 저장된 컴퓨터 프로그램이 제공된다.According to another side, there is provided a computer program stored in the medium to execute the operating method of the system implementing the smart factory in combination with hardware.

각 생산 프로세스에서 산출되는 데이터를 처리하는 소프트웨어 모듈 및 제품의 생산 현장의 각 생산 프로세스에서 산출되는 데이터를 센싱하는 하드웨어 모듈을 포함하는 스마트팩토리를 구현하는 시스템은 제품의 생산성 증가, 재고 감소, 재고의 효율적 관리를 실현할 수 있다.A system that implements a smart factory including a software module that processes data generated in each production process and a hardware module that senses data generated in each production process at the production site of a product is a system that increases product productivity, reduces inventory, and reduces inventory. Efficient management can be realized.

소재 입고 계획에 대한 정보는, 입고 시점, 입고 계획량, 규격 등의 입고 계획 관리 등의 정보를 포함할 수 있다. 소재 입고 현황에 대한 정보는, 입고된 자재의 현황 관리 정보를 포함할 수 있다. 업체별 입고 현황 분석에 대한 정보는, 발주수량, 실적 수량, 입고 지연일 등을 고려하여 달성율 및 반품율을 확인하는 정보를 포함할 수 있다. 자사 기초 재고에 대한 정보는, 기초 재고에 관련된 재고 관리 정보를 포함할 수 있다. 재고 조회에 대한 정보는, 바코드를 이용한 재고 품목 관리 정보를 포함할 수 있다.The information on the material stocking plan may include information such as stocking time, stocking planned amount, stocking plan management such as specifications. The information on the material stocking status may include status management information of the stocked material. The information on the analysis of the stock status for each company may include information for checking the achievement rate and the return rate in consideration of the order quantity, the performance quantity, the date of arrival delay, and the like. The information on the company's basic inventory may include inventory management information related to the basic inventory. Information on inventory inquiry may include inventory item management information using barcodes.

Claims (1)

멀티센서 게이트웨이 장치, 프로세서, 및 모니터링 장치를 포함하는 스마트팩토리를 구현하는 시스템의 동작 방법에 있어서,상기 멀티센서 게이트웨이 장치에 의해, 적어도 하나의 부품으로부터 생산되는 제품의 생산 프로세스들에 대한
데이터를 수집하는 단계;상기 프로세서에 의해, 상기 데이터로부터, 상기 생산 프로세스들 중에서 에러의 발생 빈도가 소정 범위를 벗어나는 적어도 하나의 에러 프로세스를 예측하는 단계;상기 프로세서에 의해, 상기 적어도 하나의 에러 프로세스에 기초하여, 상기 제품의 생산 프로세스들을 검증하기 위한 적어도 하나의 검증 프로세스 단위를 생성하는 단계; 및 상기 모니터링 장치에 의해, 상기 적어도 하나의 검증 프로세스 단위에 따라, 상기 제품의 생산 프로세스들을
모니터링 하는 단계를 포함하고,상기 적어도 하나의 에러 프로세스를 예측하는 단계는,상기 데이터에 기초하여, 상기 생산 프로세스들 중에서 상기 제품에 대한 실제 데이터와 참조 데이터의 차이가제1 소정 범위를 벗어나는 프로세스를 적어도 하나의 에러 프로세스로 결정하는 단계; 및 상기 데이터에 기초하여, 상기 제품에 대한 불량 제품의 누적 생산 횟수가 소정 횟수를 초과하는 프로세스를 적어도 하나의 에러 프로세스로 결정하는 단계를 포함하고,상기 적어도 하나의 검증 프로세스 단위를 생성하는 단계는,상기 적어도 하나의 에러 프로세스의 속성과 상기 생산 프로세스들의 속성의 상관 관계에 기초하여, 상기 생산프로세스들을 그룹핑하는 단계; 및그룹핑 결과에 기초하여, 상기 생산 프로세스들을 검증하기 위한 적어도 하나의 검증 프로세스 단위를 생성하는 단계를 포함되고,In the method of operating a system for implementing a smart factory including a multi-sensor gateway device, a processor, and a monitoring device, by the multi-sensor gateway device, for production processes of products produced from at least one component
collecting data; predicting, by the processor, from the data, at least one error process in which the frequency of occurrence of errors among the production processes is outside a predetermined range; by the processor, the at least one error process generating at least one verification process unit for verifying production processes of the product; and by the monitoring device, according to the at least one verification process unit, the production processes of the product.
The method comprising: monitoring, and predicting the at least one error process: Based on the data, a process in which a difference between actual data and reference data for the product among the production processes is out of a first predetermined range determining at least one error process; and determining, based on the data, a process in which the cumulative number of production of defective products for the product exceeds a predetermined number as at least one error process, wherein the generating of the at least one verification process unit comprises: , grouping the production processes based on a correlation between the attribute of the at least one error process and the attribute of the production processes; and generating, based on the grouping result, at least one verification process unit for verifying the production processes,
KR1020200082444A 2020-07-04 2020-07-04 Computer applications that implement smart factory, including steps to monitor product production processes. KR20220004797A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020200082444A KR20220004797A (en) 2020-07-04 2020-07-04 Computer applications that implement smart factory, including steps to monitor product production processes.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020200082444A KR20220004797A (en) 2020-07-04 2020-07-04 Computer applications that implement smart factory, including steps to monitor product production processes.

Publications (1)

Publication Number Publication Date
KR20220004797A true KR20220004797A (en) 2022-01-11

Family

ID=79355967

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020200082444A KR20220004797A (en) 2020-07-04 2020-07-04 Computer applications that implement smart factory, including steps to monitor product production processes.

Country Status (1)

Country Link
KR (1) KR20220004797A (en)

Similar Documents

Publication Publication Date Title
US8571904B2 (en) Self sensing component interface system
Tsao et al. Closed-loop supply chain network designs considering RFID adoption
Van Horenbeek et al. Joint maintenance and inventory optimization systems: A review
Lee et al. Predictive manufacturing system-Trends of next-generation production systems
Fusko et al. Basics of designing maintenance processes in Industry 4.0.
JP5072863B2 (en) Stock management of spare parts
Yildirim et al. Integrated maintenance and production planning with energy consumption and minimal repair
US20160282859A1 (en) Systems and methods for maintaining equipment in an industrial automation environment
Etienne et al. Cost engineering for variation management during the product and process development
Salama et al. A decision support system architecture based on simulation optimization for cyber-physical systems
CN102004954A (en) Product information system and information integration method of product design system
Cheng et al. Evaluation models for service oriented process in spare parts management
Morabito et al. A discrete event simulation based approach for digital twin implementation
CN101000663A (en) Bonded goods monitoring system and method
Nguyen et al. Optimization of preventive maintenance scheduling in processing plants
Utiyama et al. An alternative for improving setup times and time between failures aiming at manufacturing lead time reduction
Zhang et al. Big data-enabled intelligent synchronisation for the complex production logistics system under the opti-state control strategy
KR20220004797A (en) Computer applications that implement smart factory, including steps to monitor product production processes.
Baier et al. Identifying failure root causes by visualizing parameter interdependencies with spectrograms
KR101367550B1 (en) Collaborative facilities production system
KR102102591B1 (en) System implementing smart factory
Lamparter et al. Event-based reactive production order scheduling for manufacturing execution systems
CN101000664A (en) Logistics check system and method
Salmasnia et al. Integration of inventory control, maintenance policy, and quality control for selling products under warranty
Lin An integrated digital twin simulation and scheduling system under cyber-physical digital twin environment