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WO2019112380A1 - Procédé et système d'évaluation d'efficacité d'aménagement d'usine intelligente - Google Patents

Procédé et système d'évaluation d'efficacité d'aménagement d'usine intelligente Download PDF

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Publication number
WO2019112380A1
WO2019112380A1 PCT/KR2018/015548 KR2018015548W WO2019112380A1 WO 2019112380 A1 WO2019112380 A1 WO 2019112380A1 KR 2018015548 W KR2018015548 W KR 2018015548W WO 2019112380 A1 WO2019112380 A1 WO 2019112380A1
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WIPO (PCT)
Prior art keywords
layout
indicators
evaluation
candidate layouts
index
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/KR2018/015548
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English (en)
Korean (ko)
Inventor
반재만
임정우
김두만
이영훈
박성현
김예은
배찬우
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Industry Academic Cooperation Foundation of Yonsei University
SK Inc
Original Assignee
Industry Academic Cooperation Foundation of Yonsei University
SK Holdings Co Ltd
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Publication date
Application filed by Industry Academic Cooperation Foundation of Yonsei University, SK Holdings Co Ltd filed Critical Industry Academic Cooperation Foundation of Yonsei University
Publication of WO2019112380A1 publication Critical patent/WO2019112380A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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

Definitions

  • the present invention relates to a Smart Factory related technology, and more particularly, to a method and system for automatically evaluating a Layout of a Smart Factory.
  • Smart Factory is a factory with high rate of automation that automatically senses the environment and makes intelligent decision-making automatically, thus enhancing the productivity and flexibility of the factory.
  • Smart Factory's intelligent decision making is based on environmental data that includes pre-defined form of production line layout
  • the first decision in the smart factory construction phase the basic production system determination and assembly line layout optimization It has a fundamental impact on the performance of the plant.
  • optimization of the cell layout design that can improve productivity and flexibility considering automation and logistics is a stepping stone for smart factory to achieve optimum performance.
  • the present invention has been made in order to solve the above-mentioned problems, and it is an object of the present invention to provide a method and system for objectively and automatically evaluating the efficiency of a smart factory layout through various organized indexes, .
  • a smart factory layout evaluation method comprising: a first evaluation step of evaluating candidate layouts of a smart factory in a first manner; Selecting some of the candidate layouts as excellent candidate layouts based on the evaluation result of the first evaluation step; A second evaluation step of evaluating excellent candidate layouts in a second manner; And selecting one of the excellent candidate layouts as the final layout based on the evaluation result of the second evaluation step.
  • the first evaluation step may be to evaluate the candidate layouts in such a manner that the first indicators are summed and summed from the drawing of the layout.
  • an index indicating the amount of production per unit time with respect to the use area of the layout may be included.
  • the first indicators may include an index proportional to the distance between the process modules of the layout and the work associations.
  • the work associations may include at least one of logistics between process modules, volume of logistics between process modules, frequency of exchanges between process modules, and risk of logistics between process modules.
  • the first indicators may include an indicator that represents the sum of the average WIP (Work In Process) quantities in each process.
  • the first indicators may include an indicator proportional to the ratio of the logistics and the travel distance.
  • the first indicators may include indicia indicative of operational complexity by switching and stopping the logistics in the process.
  • the first indicators may include an index indicating a degree of balance of the time required between jobs.
  • the second evaluation step may be to evaluate the excellent candidate layouts in such a manner that the second indicators are calculated and summed through simulations on the layout.
  • the second indicators may include an index indicating the ratio between the time required for product production and the cycle time.
  • the second indicators may include indicators indicative of the degree of congestion in the process.
  • the second indicators may include indicators indicative of the amount of WIP between each step.
  • the second indicators may include indicators indicative of total output over a unit time in the entire lines.
  • a smart factory layout evaluation system comprising: a collecting unit collecting information necessary for layout evaluation of a smart factory; Evaluating the candidate layouts of the smart factory in a first manner with reference to the collected information, selecting some of the candidate layouts as excellent candidate layouts based on the evaluation result of the first scheme, And a processor for selecting one of the best candidate layouts as the final layout based on the evaluation result of the second scheme.
  • FIG. 1 is a flowchart provided in the description of a smart factory layout efficiency evaluation method according to an embodiment of the present invention
  • Figure 2 is a drawing listing the aggregate indicators
  • FIG. 3 is a diagram listing the analysis indexes
  • Figure 5 illustrates working relationships between process modules for calculating a work associativity indicator
  • FIG. 6 is a diagram illustrating a result of calculating a work relevance index with respect to a quantity of goods
  • FIG. 7 is a diagram illustrating a result of calculating the WIP reserve index
  • FIG. 10 is a diagram illustrating a result of line balancing index calculation
  • FIG. 11 is a diagram illustrating a situation in which a line balancing index is improved through operator replacement
  • FIG. 14 is a diagram illustrating a congestion index calculation result
  • FIG. 15 is a diagram illustrating a result of throughput index calculation
  • 16 is a block diagram of a layout evaluation system according to another embodiment of the present invention.
  • FIG. 1 is a flow chart provided in the description of a smart factory layout efficiency evaluation method according to an embodiment of the present invention.
  • a smart factory layout efficiency evaluation method is performed by a 'smart factory layout efficiency evaluation system' (hereinafter abbreviated as 'layout evaluation system') which is a computing system.
  • 'layout evaluation system' a 'smart factory layout efficiency evaluation system'
  • the layout evaluation system performs a drawing-based evaluation on the designed candidate layouts (S110).
  • the evaluation in the step S110 is performed by calculating and integrating the integrated indexes from the layout drawings. The same / different weights can be applied to each integrated indicator at the time of summing.
  • the integrated indicators are listed in FIG. As shown in FIG. 2, the integrated indicators are indicators relating to layout, logistics, process attributes (space utilization, logistics volume, logistics line, complexity, operation order), space productivity index, work association index, , Logistics indicators, complexity indicators and line balancing indicators. Each of the indicators will be described in detail later.
  • the layout evaluation system selects some (2 to 3) candidate layouts as excellent candidate layouts based on the evaluation result in step S110 (S120).
  • step S130 the layout evaluation system performs an evaluation based on the computer simulation on the selected excellent candidate layouts in step S120.
  • step S130 is performed by calculating and adding the analysis indices through layout simulation. The same / different weights can be applied to the analysis indicators at the time of summing.
  • the analysis indicators are product productivity indicators, including the cycle time indicator, the congestion indicator, the WIP indicator, and the throughput indicator. Each of the indicators will be described in detail later.
  • the layout evaluation system selects one of the excellent candidate layouts as the final layout (S140).
  • the layout evaluation system performs on-site evaluation of the constructed layout (S160).
  • the layout evaluation system If the on-scene evaluation score is not less than the reference value (S170-Y), the layout evaluation system maintains the layout. On the other hand, if the on-scene score is less than the reference value (S170-N), the layout evaluation system regenerates alternative candidate layouts for the current smart factory layout and performs subsequent procedures.
  • the space productivity index is an index showing the space efficiency of smart factory layout. It shows how much is produced in relation to the area used, and can be expressed by the following formula.
  • FIG. 4 illustrates the result of the calculation of the space productivity index. According to the results shown in Fig. 4, it can be seen that the alternative A layout has a higher production yield than the alternative B layout, compared to the used area.
  • the work relevance index is an indicator of the proximity to the work relation (activity related degree) by reflecting the quality factor (communication and accessibility, etc.) between the process modules on the design drawing of the smart factory layout. Can be expressed.
  • Work relevance index ⁇ [(distance between each process module) ⁇ (penalty score according to work relation)]
  • Figure 5 illustrates working relationships between process modules for calculating work relevance indicators.
  • Exemplary work associations include logistics volume, volume of logistics, interchange frequency, and risk of logistics. At least one of the exemplified work associations is used in calculating the work associativity indicator.
  • FIG. 6 illustrates a result of calculating the work relevance index by calculating the penalty score according to the distance between the process modules and the work relevance of the work relationships among the work associations illustrated in FIG.
  • the WIP reserve index is an indicator of the amount of WIP (work in process) in the whole process, and can be expressed by the following equation. It can also be referenced to ensure responsiveness and flexibility in response to demand changes.
  • WIP reserve index ⁇ (average WIP amount in each process module)
  • FIG. 7 illustrates the result of calculating the WIP reserve amount index by summing the average WIP amounts in each process module.
  • the logarithmic value index is an index showing the degree of logistics and copper lines in the entire production process, and can be expressed by the following equation.
  • Fig. 8 illustrates the results of calculating the distribution index for the alternative A layout and the alternative B layout having the same productivity.
  • the distribution index calculation shown in Fig. 8 can be confirmed that the alternative A layout is designed optimally in terms of the supply and circulation of the material, rather than the alternative B layout, and the distribution flow and flow line are smaller.
  • the complexity index is an indicator of the degree of complexity of operations by switching and stopping logistics in the process. Switching and stopping the logistics within the process can also be referred to in order to achieve the simplicity of the entire process and ensure operational safety.
  • FIG. 9 shows the result of calculating the sum 30 of the in-process direction conversions, and the lower part of FIG. 9 shows the result of calculating the sum 44 of the number of nodes that can be stopped in the process.
  • the line balancing index is an index indicating the degree of balance between the time required for the operation and can be expressed by the following equation.
  • Line balancing index (pure water production time) / [(number of processes) ⁇ (maximum work time)]
  • Fig. 10 shows the results of calculating the balancing index between the processes (workers) in the line, the interline balancing index, and the balancing index between the works in the workplace.
  • FIG. 11 illustrates the situation in which the line balancing index is improved by replacing the worker.
  • the line balancing index can be improved through work placement planning when preliminary preparation work is available.
  • the Cycle Time index is a measure of the time efficiency of the smart factory layout, which can be expressed as:
  • Cycle Time index (average cycle time) / (pure production time)
  • FIG. 12 shows a smart factory layout for illustrating the cycle time index calculation
  • FIG. 13 shows a cycle time index calculation process.
  • the Congestion Index is a measure of congestion in the process and can be expressed as:
  • Congestion indicator max (WIP per process) / Avg (WIP per process)
  • Fig. 14 shows the result of Congestion index calculation.
  • the WIP index is an index indicating the amount of WIP (work in process) between each process, and can be expressed by the following equation.
  • WIP index (WIP amount in line) / (hourly output)
  • the throughput index is an index representing the total amount produced over a unit time (1 hour) in all lines, and can be expressed by the following equation.
  • a layout evaluation system includes a communication unit 210, a display 220, a processor 230, an input unit 240, and a storage unit 250, as shown in FIG. to be.
  • the communication unit 210 receives information necessary for layout evaluation from an external device or an external network, and the input unit 240 receives information necessary for layout evaluation from the user.
  • the processor 230 evaluates the layout according to the smart factory layout evaluation method shown in Fig.
  • the storage unit 250 stores information necessary for layout evaluation, and provides a storage space necessary for the processor 230 to perform the layout evaluation.
  • the communication unit 210, the input unit 240, and the storage unit 250 function as information collecting means for collecting information necessary for layout evaluation.
  • the drawing-based evaluation is performed for the candidate layouts and the simulation-based evaluation is performed for the excellent candidate layouts, but the evaluation method may be changed. That is, it is possible to perform a simulation-based evaluation on candidate layouts and to perform a drawing-based evaluation on excellent candidate layouts.
  • the technical idea of the present invention can also be applied to a computer-readable recording medium having a computer program for performing the functions of the apparatus and method according to the present embodiment.
  • the technical idea according to various embodiments of the present invention may be embodied in computer-readable code form recorded on a computer-readable recording medium.
  • the computer-readable recording medium is any data storage device that can be read by a computer and can store data.
  • the computer-readable recording medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical disk, a hard disk drive, or the like.
  • the computer readable code or program stored in the computer readable recording medium may be transmitted through a network connected between the computers.

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Abstract

L'invention concerne un procédé et un système d'évaluation d'efficacité d'aménagement d'usine intelligente. Un procédé d'évaluation d'efficacité d'aménagement d'usine intelligente selon un mode de réalisation de la présente invention consiste à : évaluer des aménagements candidats d'une usine intelligente dans un premier système de façon à sélectionner certains aménagements candidats en tant qu'excellents aménagements candidats ; et évaluer les excellents aménagements candidats dans un second système de façon à sélectionner, en tant qu'aménagement final, l'un des excellents aménagements candidats. En conséquence, la présente invention permet une évaluation automatique de l'efficacité d'un aménagement d'usine intelligente par l'intermédiaire de divers indicateurs systématiques autres que la subjectivité d'une personne, et permet ainsi de garantir l'objectivité d'évaluation.
PCT/KR2018/015548 2017-12-08 2018-12-07 Procédé et système d'évaluation d'efficacité d'aménagement d'usine intelligente Ceased WO2019112380A1 (fr)

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KR1020170168360A KR102003616B1 (ko) 2017-12-08 2017-12-08 스마트 팩토리 레이아웃 효율성 평가 방법 및 시스템
KR10-2017-0168360 2017-12-08

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113298429A (zh) * 2021-06-21 2021-08-24 柳州市索创智能科技有限公司 一种自动化生产线的智能模拟评估方法及系统
CN117314263A (zh) * 2023-11-27 2023-12-29 中国电子工程设计院股份有限公司 一种电子工厂生产线布局的评价方法及装置
CN118917452A (zh) * 2024-06-07 2024-11-08 中国人民解放军国防科技大学 一种工厂布局评估及优化方法及装置
CN119476825A (zh) * 2024-11-07 2025-02-18 山东大学日照研究院 宠物笼包装线布局优化方法

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JPH07160739A (ja) * 1993-12-03 1995-06-23 Nissan Motor Co Ltd 生産ラインレイアウト作成装置
JPH08229779A (ja) * 1995-03-02 1996-09-10 Hitachi Ltd 生産ライン構成評価装置、及びこの装置を使用して生産ラインを構築する方法
JPH1185852A (ja) * 1997-09-01 1999-03-30 Toyota Motor Corp 生産ライン情報自動作成装置
JP2000039905A (ja) * 1998-07-24 2000-02-08 Mitsubishi Electric Corp 工場計画作成装置
JP2010122866A (ja) * 2008-11-19 2010-06-03 Dainippon Printing Co Ltd レイアウト設計支援装置及び方法

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KR20160099250A (ko) 2015-02-12 2016-08-22 삼성전자주식회사 반도체 제조 공장의 설계 방법 및 설계 시뮬레이션 장치
KR20170131082A (ko) 2016-05-20 2017-11-29 연세대학교 산학협력단 평가장치 및 평가방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07160739A (ja) * 1993-12-03 1995-06-23 Nissan Motor Co Ltd 生産ラインレイアウト作成装置
JPH08229779A (ja) * 1995-03-02 1996-09-10 Hitachi Ltd 生産ライン構成評価装置、及びこの装置を使用して生産ラインを構築する方法
JPH1185852A (ja) * 1997-09-01 1999-03-30 Toyota Motor Corp 生産ライン情報自動作成装置
JP2000039905A (ja) * 1998-07-24 2000-02-08 Mitsubishi Electric Corp 工場計画作成装置
JP2010122866A (ja) * 2008-11-19 2010-06-03 Dainippon Printing Co Ltd レイアウト設計支援装置及び方法

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113298429A (zh) * 2021-06-21 2021-08-24 柳州市索创智能科技有限公司 一种自动化生产线的智能模拟评估方法及系统
CN117314263A (zh) * 2023-11-27 2023-12-29 中国电子工程设计院股份有限公司 一种电子工厂生产线布局的评价方法及装置
CN117314263B (zh) * 2023-11-27 2024-03-26 中国电子工程设计院股份有限公司 一种电子工厂生产线布局的评价方法及装置
CN118917452A (zh) * 2024-06-07 2024-11-08 中国人民解放军国防科技大学 一种工厂布局评估及优化方法及装置
CN119476825A (zh) * 2024-11-07 2025-02-18 山东大学日照研究院 宠物笼包装线布局优化方法

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