• Title/Summary/Keyword: 제조업

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The Convergence between Manufacturing and ICT: The Exploring Strategies for Manufacturing version 3.0 in Korea (제조업과 정보통신기술의 융합: 스마트 팩토리 4.0에 기반한 한국 제조업 3.0 성공 전략)

  • Yim, Myung-Seong
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.219-226
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    • 2016
  • The aim of this study is to suggest the strategic implications for manufacturing 3.0 in Korea by reviewing an innovation approaches of German that is a source of manufacturing innovation in Europe. Today, growth potential of korean economy has been weakened by the rise of emerging economies. Furthermore, technological advantage of emerging economies has been strengthened. In this situation, Korea needs to make efforts to enhance global competitiveness. The growth of developing countries provides a new opportunities for Korea for export demand. However, this situation can be recognized as threats for Korea because Korea has to compete with those countries to expand market share. In this regard, reviewing the approaches of manufacturing innovation in German is important because German keeps remaining a high levels of competitiveness in spite of a rise of emerging economies and European recession. To do this, this research can give hints to advance the industrial policy improvements.

Changes in Industrial Structure and Competitiveness of Manufacturing Crisis Region: Focusing on Gunsan City (제조업 위기지역의 산업구조 및 경쟁력 변화: 군산시를 사례로)

  • Song, Juyoun
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.3
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    • pp.299-319
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    • 2022
  • Since 2010, there have been phenomena that the recession of key industries has spreaded into a regional crisis, affecting the overall regional economy in Korea. The purpose of this study is to analyze how the regional industrial structure and manufacturing competitiveness has been changed in Gunsan, which is in crisis due to the decline of the shipbuilding and automobile industries. As a result, the pace of change in industrial structure of Gunsan has accelerated, and this is because the mass employment released from the key industries has been absorbed into other industries, but there were no manufacturing fields that could replace the recession of the key industries. Among the manufacturing of Gunsan, the degree of specialization of the basic industries has been gradually weakened, and in addtion, the weakening of location competitiveness has brought a negative impact on the growth rate differential of the manufacturing. It is necessary to closely examine changes in characteristics of regional industrial structure for Gusan to find an alternative direction in order to respond to the manufacturing crisis.

동물약사

  • 한국동물약품협회
    • 동물약계
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    • no.81
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    • pp.2-3
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    • 2002
  • [ $\cdot$ ]동물용의료용구 제조업 신고 허가 $\cdot$동물용의약외품 제조업 신고 수리 $\cdot$동물용의약품등 제조업 허가사항 변경 $\cdot$동물용의약품등 수입자 확인사항 변경 $\cdot$동물용의약품 품질관리우수업체 신규 지정 $\cdot$수의사법 개정 $\cdot$사료공정서 제정 고시 $\cdot$주의동물용의약품취급요령 제정(안) 공고

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중소 화학제품 제조업의 인적오류 분석 지원시스템 개발

  • 정광태;정병용;김두환
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2000.11a
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    • pp.223-227
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    • 2000
  • 화학제품 제조업에서 발생하는 사고는 인체에 치명적인 영향을 줄 수 있기 때문에 다른 어떤 작업장에서보다 높은 안전성과 신뢰도가 요구된다. 이전의 화학 제품 제조업에서 발생한 사고의 분석으로부터 작업자들의 인적오류가 사고의 주요 원인이라는 것이 입증되어 왔다.(중략)

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동물약사

  • Korea Animal Health Products Association
    • 동물약계
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    • no.111
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    • pp.2-3
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    • 2007
  • 동물의약품등 제조업 신규 허가/동물의약품등 휴업 신고 수리/동물의약품등 제조업 허가사항 변경/동물의약품등 수입자 확인사항 변경/유해사료의 범위와 기준 개정안 입안예고/동물의약품등 제조업.수입자와 판매업의 시설기준령 개정안 의견조회/가금인플루엔자 방역실시요령 개정안 입안예고

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중소제조업 경기국면 분석과 전망

  • Korea Corrugated Packaging Case Industry Association
    • Corrugated packaging logistics
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    • s.66
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    • pp.30-35
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    • 2006
  • '05년 12월중 중소제조업 경영환경지수를 활용하여 향후 '06년 1월 ~ 5월까지의 중소제조업 경기국면지수를 예측한 결과 3월 이후 상승세를 지속할 것으로 전망 경기국면지수는 '06년 3월 104.1, 4월 104.1, 5월 104.6로 예상됨

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해운이슈: 대지진 이후 일본 제조업의 변화 전망과 시사점 -포스크 경영연구소, 일본 기업유치 방안 검토

  • 한국선주협회
    • 해운
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    • s.82
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    • pp.16-21
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    • 2011
  • 일본 산업에 내재된 구조적인 문제점에 지진 영향이 더해지면서 일본 제조업이 구조적인 변화를 겪을 가능성 증대되고 있다. 기존 일본 제조업의 공급사슬 모델은 그동안 효율성이 높다는 평가를 받아 왔으나, 지진과 같은 위기상황에서는 전체 생산 시스템이 중단되는 등 리스크 대응 측면에서는 취약한 모습을 보이고 있다. 일본 기업의 국내 경영 리스크 증대 및 제조업의 공급사슬 변화 영향으로 일본 기업의 해외 이전 현상이 점진적이고 지속적으로 진행될 것으로 예상된다. 일본 기업의 해외이전 과정에서 한일 기업의 협력 가능성도 증대할 것으로 예상되므로 한국 기업은 적극적으로 비즈니스 기회를 발굴하는 노력이 필요하다. 이 시점에서 한국 정부 및 지자체는 이전 기업에 대한 인센티브 부여 등 일본 기업유치 방안을 적극적으로 검토할 필요가 있다. 다음은 포스코 경영연구소에서 발표한 "대지진 이후 일본 제조업의 변화 전망과 시사점"의 주요 내용을 정리 요약한 것이다.

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The Effect of Founder's Experience and Technical Competence on Performance in Contexts of Manufacturing Start-up Companies (창업자의 경험과 기술 능력이 창업 기업의 성과에 미치는 영향: 제조업을 중심으로)

  • Lee, Jung Seung;Lim, Yeongjun;Choi, Seong-Woo
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.317-323
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    • 2020
  • Although the start-up companies in the manufacturing industry have a great job creation effect, there is a lack of research on start-up and development in the manufacturing industry. Using a sample of 201 in manufacturing start-up companies, we proposed that founder's experience and technical competencies will positively influence performance in manufacturing star-up companies. We also proposed that founder's technical competence will mediate the relationship between founder's experience and performance. The results of this study supported most of our hypotheses, implying that founder's experience and technical competence could be crucial especially in the beginning stage of manufacturing start-up companies.

A Study on the Economic Impacts of Korean R&D Expenditure on the Manufacturing Industry by Technological Levels: Using the Input-Output Table (한국 R&D투자의 기술수준별 제조업 구분에 따른 경제적 파급효과 분석: 산업연관표 활용)

  • Park, Chang-Dae;Ahn, Seung-Ku;Park, Jung-Gu
    • Journal of Technology Innovation
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    • v.26 no.1
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    • pp.85-105
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    • 2018
  • This study analyzes the economic impacts of Korean R&D expenditure on the industrial structure by technological levels using 2010~2014 Input-Output table data. The industrial structure is reclassified into 4 manufacturing industries by OECD's Technology Intensity Definition. Then, we analyzes the production-inducing and value added-inducing of those industries. As the results of the analysis, it is found that the production-inducing effect by the R&D expenditure has been higher in the middle-high and middle-low technology manufacturing and that the value added-inducing effect has been higher in the middle-high technology manufacturing. On the other hand, the production and value added-inducing effects has been lower in the high-tech manufacturing which is highest in the R&D expenditure. The above results indicate that industrial structure has not been linked with the quality ladder that expresses the enhancement of tech level through R&D expenditure. Based on these results, the policy recommendation implies that R&D expenditure should be concentrated to improve the production- and value-added effects of the high technology manufacturing in order to advance the industrial structure. However, this study has the limitation that the analyses on the dynamic-inducing effects are not carried out due to the lack of fixed capital formation data.

Operational Big Data Analytics platform for Smart Factory (스마트팩토리를 위한 운영빅데이터 분석 플랫폼)

  • Bae, Hyerim;Park, Sanghyuck;Choi, Yulim;Joo, Byeongjun;Sutrisnowati, Riska Asriana;Pulshashi, Iq Reviessay;Putra, Ahmad Dzulfikar Adi;Adi, Taufik Nur;Lee, Sanghwa;Won, Seokrae
    • The Journal of Bigdata
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    • v.1 no.2
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    • pp.9-19
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    • 2016
  • Since ICT convergence became a major issue, German government has carried forward a policy 'Industry 4.0' that triggered ICT convergence with manufacturing. Now this trend gets into our stride. From this facts, we can expect great leap up to quality perfection in low cost. Recently Korean government also enforces policy with 'Manufacturing 3.0' for upgrading Korean manufacturing industry with being accelerated by many related technologies. We, in the paper, developed a custom-made operational big data analysis platform for the implementation of operational intelligence to improve industry capability. Our platform is designed based on spring framework and web. In addition, HDFS and spark architectures helps our system analyze massive data on the field with streamed data processed by process mining algorithm. Extracted knowledge from data will support enhancement of manufacturing performance.

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