• Title/Summary/Keyword: factory management

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A Study on the Supply Process of Unit Modular Housing through a Comparison of Cases

  • Kim, Kyoon-Tai;Jun, Young-Hun;Kim, Tae-Yeong
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.411-414
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    • 2015
  • The purpose of this study is to conduct a comparative analysis between Korea and the United States of the supply process of unit modular housing at both the factory production phase and the transportation and lifting phase, as part of an attempt to invigorate the unit modular housing market in Korea. Unlike the practice in the United States, one of Korea's unique characteristics is that the floor is constructed with reinforced concrete and hot water heating system. To do this, the wet method in Korea is used that includes concrete placement, curing and constructing hot water floor heating system at the factory production phase, which results in a longer production time and also requires the lifting of heavier loads. In the United States, interior and exterior finishing works of modular housing are performed by different companies, and the distance between the unit module factory and the construction site is quite far. This kind of dualized production structure may cause confusion when it comes to schedule management, procurement management, and stock management. Moreover, problems caused by external environmental factors such as wind and rainfall were reported in the course of long-distance transportation. The results of this case comparison are expected to provide fundamental data that will reduce the amount of trial and error in the unit module production, transportation and lifting work in Korea, which has a comparatively small number of unit modular housing cases.

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A Survey on Characteristics and Application Domains of 3D Factory Simulation Technology (3D 팩토리 시뮬레이션 기술의 특징과 응용 분야에 대한 고찰)

  • Jo, Da-Seol;Kim, Jun-Woo
    • The Journal of Information Systems
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    • v.27 no.4
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    • pp.35-70
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    • 2018
  • Purpose Recently, 3D factory simulation technology has emeged as a powerful tool for modeling and analysis of a wide range of production systems, however, it has been not paid much attention in Korea. In this context, this paper aims to provide a comprehensive literature review on discrete event simulation softwares and introduce a promising 3D factory simulation software called FlexSim and its application domains. Design/methodology/approach In order to demonstrate worldwide popularity and technical superiority of FlexSim software, we analyzed the recent list of rankings for commercial discrete simulation softwares released by winter simulation conference and users' opinions collected from business software review site. Moreover, several main application domains are derived from a review of the previous research papers that deal with applications of FlexSim software. Findings FlexSim software recently moved up the list of major commercial simulation softwares, and technical superiorities of the software demonstrate that it is a promising tool for practical 3D factory simulation. Moreover, recent research papers suggest that FlexSim software can be used as a component of smart factory system. In this context, it is expected that FlexSim software becomes more popular in the era of industry 4.0.

Development of a Financial Product Factory System (맞춤형 금융상품 설계시스템의 개발)

  • 최성철;이성하;주정은;구상회
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.119-133
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    • 2003
  • 맞춤형 금융상품 설계시스템(Financial Product Factory System)이란 온라인으로 접근하는 고객의 요구사항을 고려하여 고객에게 가장 적합한 금융상품을 실시간으로 설계하여 제공하는 시스템이다. 최근 들어 인터넷 뱅킹 고객의 수가 급증함에 따라 맞춤형 금융상품 설계시스템의 필요성이 대두되고 있으나, 이러한 시스템의 정의나 성격, 필요 기능, 구축 방안에 대한 연구가 되어 있지 않은 실정이다. 본 연구에서는 맞춤형 금융상품 설계시스템의 정의를 내리고, 이 시스템이 갖추어야 할 요구사항을 시스템과 서비스 측면에서 분석한 후, 이 요구사항을 반영하는 시스템의 아키텍처를 제안ㆍ구현한다

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A Study Of the Construction Management Applied to BAT Korea Factory Construction Project in Korea (BAT Korea Factory 건설 프로젝트의 CM 적용사례 연구 - Cost Management 사례를 중심으로 -)

  • Kim Duk-Kon;Kwon O-Kyung;Kim Jong-Hoon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.48-57
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    • 2003
  • BAT Korea's Factory is the one of the major projects that clearly confirms and demonstrates that Construction Management (CM), provided by a Korean CM Company to the foreign clients, enables them to successfully complete projects; with savings in time and reduction in cost, which it is $15\%$ lower than the cost of the overseas construction. Also, throughout the thorough schedule management, it was possible to commence with manufacturing one month after the completion date. The Key Success Factors was generated by the excellent construction management skills, and more importantly by the confidence gained by the client in giving a CM company full authority for the construction management of the project. This study has focus on elements of construction management applied to this project throughout the concept of 'One Stop Shop', including cost managements, contract management and value engineering etc. We hope that this study will provide useful data to enable public clients to take advantages of construction management, in a similar way to. the private clients, who have already implemented CM actively.

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Design and Implementation of M2M-based Smart Factory Management Systems that controls with Smart Phone (스마트폰과 연동되는 M2M 기반 스마트 팩토리 관리시스템의 설계 및 구현)

  • Park, Byoung-Seob
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.4
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    • pp.189-196
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    • 2011
  • The main issues of the researches are monitoring environment such as weather or temperature variation and natural accident, and sensor gateways which have mobile device, applications for mobile health care. In this paper, we propose the SFMS(Smart Factory Management System) that can effectively monitor and manage a green smart factory area based on M2M service and smart phone with android OS platform. The proposed system is performed based on the TinyOS-based IEEE 802.15.4 protocol stack. To validate system functionality, we built sensor network environments where were equipped with four application sensors such as Temp/Hum, PIR, door, and camera sensor. We also built and tested the SFMS system to provide a novel model for event detection systems with smart phone.

Analysis of Smart Factory Research Trends Based on Big Data Analysis (빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석)

  • Lee, Eun-Ji;Cho, Chul-Ho
    • Journal of Korean Society for Quality Management
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    • v.49 no.4
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    • pp.551-567
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    • 2021
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

A Study on Organizational Competence and Organizational Performance for Smart Factory Implementation of Korean Small and Medium Enterprises (국내 중소기업의 스마트공장 구축을 위한 조직역량과 조직성과에 관한 연구)

  • Seo, Pan Jong;Kim, Dong Hui;Moon, Tae Soo
    • The Journal of Information Systems
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    • v.31 no.1
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    • pp.197-218
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    • 2022
  • Purpose This study examines the roles of firm-level smart factory implementation in the relationship between organizational competence and organizational performance in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study presents and empirically tests a research model with evaluation data conducted by industrial experts on how organizational competence can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach Organizational competence are based on the research construct developed by Odważny et al.(2018). Research constructs on smart factory are based on the measurement model developed by Korea Technology and Information Promotion Agency for Korea small and medium Enterprises (TIPA) (2020) and organizational performance are based on the performance construct developed by Kwon(2019). To complete the investigation, we collected 31 firm data conducted by industrial experts in Korea from Dec 2018 to Dec 2020. Most of firm was implemented officially by government budget granted for smart factory of Korea SMEs. To test our hypotheses, partial least squares (PLS) method was employed. Findings The findings indicate that organizational competence is antecedent to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competence and organizational performance through smart factory implementation. So companies should focus on enhancing organizational competence and implementing smart factory to obtain sustainable competitiveness.

A Study for Space-based Energy Management System to Minimizing Power Consumption in the Big Data Environments (소비전력 최소화를 위한 빅데이터 환경에서의 공간기반 에너지 관리 시스템에 관한 연구)

  • Lee, Yong-Soo;Heo, Jun;Choi, Yong-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.6
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    • pp.229-235
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    • 2013
  • This paper proposed the method to reduce and manage the amount of using power by using the Self-Learning of inference engine that evolves through learning increasingly smart ways for each spaces with in the Space-Based Energy Management System (SEMS, Space-based Energy Management System) that is defined as smallest unit space with constant size and similar characteristics by using the collectible Big Data from the various information networks and the informations of various sensors from the existing Energy Management System(EMS), mostly including such as the Energy Management Systems for the Factory (FEMS, Factory Energy Management System), the Energy Management Systems for Buildings (BEMS, Building Energy Management System), and Energy Management Systems for Residential (HEMS, Home Energy Management System), that is monitoring and controlling the power of systems through various sensors and administrators by measuring the temperature and illumination.

A Case Study of Layout Problem in a Automobile-Parts Factory (자동차부품 생산공장의 Layout 문제에 대한 사례연구)

  • 문덕희;장구길;김대경
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.04a
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    • pp.152-155
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    • 2000
  • Layout 문제는 매우 복잡한 의사결정과정이며, 이론적인 면보다는 논리를 바탕으로 한 경험적 결정이 많이 필요한 분야다. 이 논문에서는 프레스와 용접공정을 중심으로 하는 두 자동차 부품 생산업체가 한 업체로 통합되면서 새로운 공장으로 이전하는 과정에서 발생한 Layout 문제를 해결해 나가는 방법을 소개하였다. 추진하는 과정에서 기존의 개념모델을 일부 수정하여 적용하였으며, AutoCAD, FactoryFlow와 같은 소프트웨어를 이용하여 정량적 평가를 지원하였다.

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무연탄 수요예측 및 공장규모 결정에 관한 사례연구

  • 오형술;김명수;박동권;김용택
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1990.04a
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    • pp.111-124
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    • 1990
  • All most factories producing briquets in Seoul are currently located at residential districts. The coal dusts scattered from these factories are making serious problems in living. To get rid of this environmental pollution, moving thesis factories to places of mining coals is considered now. For doing this project, first, annual briquet demands are forecasted using regression analysis and then, optimal factory capacities to be built are obtained based on forecast demands using LP. To validate factory capacities obtained above simulation is conducted using SLAM II.

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