• Title/Summary/Keyword: 통신원가

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GVC Case Analysis of the Motor Industry : Focusing on Hyundai Motor (자동차 산업의 글로벌가치사슬(GVC) 사례 분석 : 현대자동차를 중심으로)

  • Choi, Soo-Ho;Choi, Jeong-Il
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.73-84
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    • 2016
  • The purpose of this study is to examine the global value chain of the global automotive industry to investigate the success factors through the example of the value chain of Hyundai Motor. It looks at the value chain of the well-known Korean automaker, Hyundai Motor, to find success factors with cases. It examines the process to build the supply chain of Hyundai Motor to analyze what impact it has on the growth of Hyundai Motor to look closely at the vertical division of labor of vehicle parts manufacturers. Korea's automobile industry has been expanding cooperation between two sectors as a multifunctional promotion focusing on electronic communications technology in machinery and technology center. Through introducing the nation's first vertical integration in the sector, Hyundai Motor has secured competitiveness of cost reduction and prestige car production. Hyundai Motor has operated and established factories in the United States, India, Turkey, the Czech Republic, Russia, and Brazil. Hyundai Motor operates 51 affiliates, such as Hyundai Mobis, by restructuring, mergers and acquisitions, and building their own vertical division of labor around it. Hyundai Motor has been overcoming dependence on foreign modules businesses and maintaining the supply value chain around Hyundai Mobis.

An Empirical Analysis on the Presumption of Public Apartment's Construction Cost in Housing Land Development Project (택지개발사업의 공공주택건설공사비 추정의 실증적 분석)

  • Kim, Seong-Hee
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.2
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    • pp.81-88
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    • 2011
  • Providers haven't recently had a flexible construction cost estimation system to meet various needs of consumers about public housing. So the subject of this study is to estimate construction cost reasonably in early project stage of public housing and then develop reliable means which is able to support construction cost management and establish a adequate funding investment plan as a provider. In this study, Regression analysis was performed by the case on 20 public apartment complex which were designed from the first half of 2007 to the first half of 2008. A total construction cost of construction, civil engineering, machinery, elevator, land scape, electricity and communication work was used as one sample for increasing explanation and representativeness of the case. In addition, The total construction cost which is devided into design, contract and completion cost was variously analysed for increasing relevance of model and actual utilization. The result of estimation model based on a total construction cost set up completion and design cost showed that error rate is within 2%, which is a excellent result. The estimation model of the construction cost developed by this study is expected to estimate approximate construction cost which is adjacent real construction cost in early stage of the project by using some data.

Optimization Model for the Mixing Ratio of Coatings Based on the Design of Experiments Using Big Data Analysis (빅데이터 분석을 활용한 실험계획법 기반의 코팅제 배합비율 최적화 모형)

  • Noh, Seong Yeo;Kim, Young-Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.10
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    • pp.383-392
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    • 2014
  • The research for coatings is one of the most popular and active research in the polymer industry. For the coatings, electronics industry, medical and optical fields are growing more important. In particular, the trend is the increasing of the technical requirements for the performance and accuracy of the coatings by the development of automotive and electronic parts. In addition, the industry has a need of more intelligent and automated system in the industry is increasing by introduction of the IoT and big data analysis based on the environmental information and the context information. In this paper, we propose an optimization model for the design of experiments based coating formulation data objects using the Internet technologies and big data analytics. In this paper, the coating formulation was calculated based on the best data analysis is based on the experimental design, modify the operator with respect to the error caused based on the coating formulation used in the actual production site data and the corrected result data. Further optimization model to correct the reference value by leveraging big data analysis and Internet of things technology only existing coating formulation is applied as the reference data using a manufacturing environment and context information retrieval in color and quality, the most important factor in maintaining and was derived. Based on data obtained from an experiment and analysis is improving the accuracy of the combination data and making it possible to give a LOT shorter working hours per data. Also the data shortens the production time due to the reduction in the delivery time per treatment and It can contribute to cost reduction or the like defect rate reduced. Further, it is possible to obtain a standard data in the manufacturing process for the various models.