• Title/Summary/Keyword: R&D planning process

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Performance Evaluation of Private R&D Projects using BSC/DEA (BSC/DEA를 활용한 기업 연구개발 프로젝트 성과평가)

  • Jeon, IkJin;Lee, Hakyeon
    • Korean Management Science Review
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    • v.34 no.2
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    • pp.67-83
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    • 2017
  • This paper proposes a R&D project performance measurement model for private firms combining balanced scorecard (BSC) and data envelopment analysis (DEA). The efficiency of R&D projects is measured in terms of each of the three perspectives of BSC by using DEA : the internal process perspective (DEA-P), the customer perspective (DEA-C), and the financial perspective (DEA-F). The performance indicators of the three perspectives of BSC are considered as outputs of the corresponding DEA models. To provide strategic implications for R&D planning, we also propose the R&D project performance matrices composed of two different types of efficiency dimensions. The proposed model is expected to be fruitfully utilized for R&D performance measurement of private firms.

A Study on Strategic Factors for the Application of Digitalized Korean Human Dataset (한국인의 인체정보 활용을 위한 전략적 요인에 관한 연구)

  • Park, Dong-Jin;Lee, Sang-Tae;Lee, Sang-Ho;Lee, Seung-Bok;Shin, Dong-Sun
    • Journal of Digital Convergence
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    • v.8 no.2
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    • pp.203-216
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    • 2010
  • This study corresponds to an exploratory survey that identifies and organizes important decision factors for establishing R&D strategic portfolio in the application of digitalized Korean human-dataset. In the case of countries that have performed the above, the digitalized human-dataset and its visualization application development research are regarded as strategic R&D projects selected and supervised in national level. To achieve the goal of this study, we organize a professional group that reviews articles, suggests research topics, considers alternatives and answers questionnaires. With this study, we draw and refine the detailed factors; these are reflected during a strategic planning phase that includes R&D vision setting, SWOT analysis and strategy development, research area and project selection. In addition to this contribution for supporting the strategic planning, the study also shows the detailed research area's definition/scope and their priorities in terms of importance and urgency. This addition will act as a guideline for investigating further research and as a framework for assessing the current status of research investment.

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R&D Investment Model for the Information and Telecommunications Technology by Multiple Objective Linear Programming (다목적선형계획법을 이용한 한국 정보통신 기술분야별 R&D 투자규모결정 모형개발 및 사례연구)

  • 이동엽
    • Korean Management Science Review
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    • v.16 no.1
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    • pp.63-74
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    • 1999
  • This paper presents a R&D investment model for the Information and telecommunications(l&T) technology using multiple objective linear programming(MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. It yields a suitable R&D investment ratio to each technology field. Its application to the National R&D Project in l&t Industry is also presented. In this application, the Analytic Hierarchy Process(AHP) is proposed to estimate the weights, which used as the coefficients in each objective function of the MOLP model. Then the problem is solved using the interactive method STEM. It is showed that with the aid of STEM, the MOLP model can be useful decision aid in formulation R&D investment plan in l&t industry. It is expected that the MOLP model works as the basis for planning R&D investment strategy in l&T industry.

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Priority Setting for Future Core Technologies using the AHP - With Major Fields in Rural Development and Resources - (AHP를 이용한 미래유망기술 투자의 우선순위 설정 - 농촌개발 및 자원분야를 중심으로 -)

  • Cho, Keun-Tae;Kim, Seong-Joon;Kim, Dae-Sik;Cho, Young-Woo;Lee, Jong-In
    • Journal of Korean Society of Rural Planning
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    • v.9 no.3 s.20
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    • pp.41-46
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    • 2003
  • The study was focused on setting priority for future core technologies in rural development and resources using AHP. The technologies were derived by Delphi method. Evaluation criteria for the priority setting were decided as 'technology', 'market oriented', and 'public concerns' by council. The future core technologies were divided as four groups by importance and R&D level. Technologies in upper two groups were considered in the study. Group I had high importance and high R&D level. Group II had high importance and lower R&D level. Questionnaires were given to 9 specialists in agricultural resources. As the results, 'public concerns' was decided as a most important evaluation criterion. The most important technologies are "technology developing for animal feces and urine treatment, and restoration it to farm land" in group I, and "technology developing for agricultural by-products as energy source" in group II.

How is the Social Problem-Solving R&D Done? (사회문제 해결형 연구개발은 어떻게 수행되는가?)

  • Song, Wichin;Seong, Ji-Eun
    • Journal of Science and Technology Studies
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    • v.18 no.3
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    • pp.255-289
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    • 2018
  • The social problem-solving R&D is different from the goal and process in comparison with research aimed at scientific excellence and industrial innovation. It pursues social values and active participation of the end-user civil society. In this study, we try to derive its characteristics by analyzing the cases that are evaluated as successful social problem solving R&D project. In order to analyse the social problem-solving R & D case, these four variables are selected; 1) social and technological planning for problem solving 2) participatory technological development 3) law, system and delivery system development for innovation deployment 4) scale-up of new R&D process. Those are important issues identified through case studies: 1) the tools and support services needed to carry out social and technical planning effectively, 2) the role of the Living Lab to coordinate opinions with experts and users, 3) the legislative and institutional improvement activities as important as technological development, 4) researcher's change through interaction with end user.

National R&D planning for information and telecommunication technologies (정보통신분야 국책연구개발과제 도출체계)

  • 이병남;이성덕;이효은;이용복
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1997.10a
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    • pp.94-97
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    • 1997
  • The purpose of this paper is to publish IITA's R&D planning and selection procedures for review by outside panels and by industry. The paper illustrates the detailed procedure and criteria used at each phase of evaluation process to the results of National Survey for Information and Telecommunication Technology Needs. Total 293 project ideas come from industry, government-supported research institutes, and universities. Candidate projects are not evaluated on the basis of what technology is proposed, but on how sound the proposed idea is within that technology and on the potential economic impact. In addition, an industrial assessment of the project ideas was performed as part of an evaluation process. At a final stage, 90 projects are selected.

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Supporting Systematic Software Test Process in R&D Project with Behavioral Models

  • Choi, Hyorin;Lee, Jung-Won;Lee, Byungjeong
    • Journal of Internet Computing and Services
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    • v.19 no.2
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    • pp.43-48
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    • 2018
  • Various artifacts that are produced as software R&D project progresses contain research plan, research report, software requirements and design descriptions, etc. When conducting a software R&D project, it is necessary to confirm that the developed system has implemented its research requirements well. However, various research results make it difficult to design appropriate tests. So, there is a practical need for us to comprehensively handle the planning, execution, and reporting of software test for finding and verifying information related to the research. In this paper, we propose a useful method for software test process in R&D project which supports model based software testing. The proposed method supports automation of test design and generation of test data by explicitly separating each step of System Under Test (SUT). The method utilizes the various models representing the control flow of the function to extract the information necessary for testing the system. And it supports a systematic testing process based on TMMi and ISO 29119. Finally, we show the validity of the method by implementing a prototype with basic functionality to generate test data from software behavioral models.

Development of Digital Twin platform using Smart Factory based CPPS (스마트팩토리 기반 CPPS를 활용한 Digital Twin 플랫폼 개발)

  • Lee, Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.305-307
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    • 2021
  • In this paper, we propose a study related to the development of a Digital-Twin platform using a smart factory based CPPS (Cyber Pysical Production System) using ICT (Information Communication Technology) technology. The platform developed through this study performs a 3D model simulation function in conjunction with P3R (Product, Process, Plant, Resource) including BOP (Bill of Process) management function from the preceding manufacturing process planning stage. In addition, we propose a digital twin platform that can predict production processes, equipment, layout, and production. The platform proposed through this paper proposes a feature that can manage the entire smart factory manufacturing process from the initial planning design stage to the manufacturing, production, operation, and maintenance stages.

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An Exploratory Study on the Korean National R&D Trends Using Co-Word Analysis (단어동시출현분석을 통한 한국의 국가 R&D 연구동향에 관한 탐색적 연구)

  • Seo, Wonchul;Park, Hyunseok;Yoon, Janghyeok
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.1-18
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    • 2012
  • This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.