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        검색결과 3

        1.
        2019.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The purpose of this study is to provide the priority of the front-loading factors in the design stage of the automotive parts development process in order to efficiently and effectively respond to the demands of the car maker (customer). Front-loading is defined as a strategy in order to improve development performance by shifting the identification and solving of design problems to earlier phases of a product development process. Two approaches of the front-loading are project-to-project knowledge transfer and rapid problem solving. For the study, a survey was conducted on the R&D department in the automobile parts company and analyzed by AHP (Analytic Hierarchy Process) method. The result of the survey shows the cost savings is the highest weight in terms of front-loading effect and in terms of front-loading factors, it gives priorities as “the problems of past project” first, “Design Review” second, “CAE (Computer Aided Engineering)” third, “FMEA (Failure Mode and Effects Analysis)” fourth, “benchmarking” and SR (Sourcing of Requirements). The results of the study will be helpful to provide practical value for improving product design of component development.
        4,000원
        2.
        2015.04 서비스 종료(열람 제한)
        This study proposes the equation of development length of GFRP bar using regression analysis and each variable(concrete compression strength, the position of the GFRP bar, cross sectional area) in the equation of development length confirms the effect on the development length. If the bar is located in the lower, development length is shorter. In the case of concrete compression strength is the bigger, the development length get the shorter. But the case of cross sectional area has a minimal effects on the development length.
        3.
        2013.10 서비스 종료(열람 제한)
        The objective of this study is to suggest an equation of development length of GFRP rebar. A regression analysis was performed based on the experimental results failed by splitting failure. By regression analysis, this study can suggest to development length and it is possible to make more efficient design than the equations of ACI and JSCE.