• Title, Summary, Keyword: factory automation

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Present Situation and Propulsion Strategy of Factory Automation in Manufacturing Company (제조기업의 공장자동화 현황과 추진전략에 관한 연구)

  • 이덕수;박노국;송문익
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.18 no.36
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    • pp.233-241
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    • 1995
  • Many companies worldwide today are pursuing to make diversified and highly qualified products. Factory automation aims at maximizing profits through the lessened inventory and shortened delivery time, which will enable the company to become more responsive to market changes. This research analyzes the following feartures in the process of factory automation. first, the automation level according to the company class. second, productivity according to the automation level. third, the organization menber's interest in the automation. finally, the possible problems in factory automation.

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An automaticity indicator computation and a factory automation procedure (자동화 지표 계산 및 공장자동화 순서 결정을 위한 방법)

  • Cho, Hyun-Bo;Jeong, Ki-Yong;Lee, In-Bom;Joo, Jae-Koo;Lee, Joo-Kang;Jeon, Jong-Hag
    • IE interfaces
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    • v.10 no.1
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    • pp.209-222
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    • 1997
  • The paper provides a methodology to obtain the automaticity indicator of a factory and the sequence of enabling technologies of factory automation. The automaticity indicator is the measure of the current automation status of a factory and can be used as a crucial criteria for the future automation schedule and investment. Although most industries have their own computation methods which usually consider the number of workers in the shop floor, this research covers five evaluation items of automation, such as, production facility, material transfer system, inspection and test system, information system, and flexibility. The detailed evaluation models are developed for each item. Automation sequencing prioritizes the enabling technologies of factory automation on the basis of several criteria which consist of two phases. The first phase includes the automation indicator and the second phase includes six sub-criteria such as production rate, quality, number of workers, capital investment, development duration, development difficulty. For this evaluation, AHP(Analytical Hierarchy Process) is introduced to prevent the decision maker's subject intention. As results of the automaticity indicator and automation sequence, the manager can save time and cost in building constructive and transparent automation plans.

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Design and Implementation of Quality Evaluation Tool for factory Automation Software (공장자동화용 소프트웨어에 대한 품질평가 도구의 설계 및 구현)

  • 양해술;이하용;황석형
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.1 no.1
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    • pp.55-62
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    • 2000
  • Factory automation of enterprise has become one of the most important method that acquire competition power. Therefore, it is necessary to evaluate quality of automation software for quality enhancement of factory automation system. duality is affected to technical quality of software in automation of making. In this study, we established a quality evaluation system, evaluation Process and metrics for factory automation software, and implemented quality evaluation tool which can support quality progress of automated software.

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The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology Use on Smart Factory Technology Introduction level and Manufacturing Performance (종업원 기술수용태도와 기술 사용용이성이 스마트공장 기술 도입수준과 제조성과에 미치는 영향)

  • Oh, Ju Hwan;Seo, Jin Hee;Kim, Ji Dae
    • Journal of Information Technology Applications and Management
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    • v.26 no.2
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    • pp.13-26
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    • 2019
  • The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

Trends of communication network technologies for factory automation (공장 자동화용 네트워크의 기술 동향)

  • Choi, Yobb
    • 제어로봇시스템학회:학술대회논문집
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    • pp.376-381
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    • 1987
  • There are many kinds of intelligent devices on the factory floor nowadays. Standardized communication methods became a necessity for efficient flow of production information among various systems. MAP (Manufacturing Automation Protocol) based on ISO (International Standard Organization) OSI (Open Systems Interconnection) is gaining acceptance of major industries worldwide.

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Trends Analysis and Future Direction of Business Process Automation, RPA(Robotic Process Automation) in the Times of Convergence (융복합 시대의 비즈니스 프로세스 자동화, RPA(Robotic Process Automation) 동향분석 및 미래방향)

  • Hyun, Young Geun;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.313-327
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    • 2018
  • In this era that technology is replacing human labor is coming. Like the introduction of Factory Automation and Smart Factory to enhance the productivity in manufacturing works in companies, RPA (Robotic Process Automation) is being applied to strengthen the competiveness in service & office work of companies. But, RPA itself is not mature enough to be the specific technology or solution, but burgeoning as the conceptual technology alternatives to automate the business process harnessed with the concept of software robots, artificial intelligence etc. The biggest difference that the introduction of RPA can make is the transition of the work based on 'human labor', to the 'digital labor' that could result in the replacement of human labor itself with that. Considering this kind of impact to change the concept of labor, the discussion for the future policy for this is inevitable. In this paper, beginning from the overview of RPA, relevant concerns & consideration for the application of RPA will be described based on the understanding of industrial & technology trends and expected future of RPA.