• Journal of Korea Technology Innovation Society
• /
• v.19 no.4
• /
• pp.711-735
• /
• 2016

Drug Development is very important for promoting public health and pharmaceutical industry. There has been many studies on the efficiency of drug development, but there are few studies on the drug development R&D performed by government. Since CCR model assumes unidirectional influence of input and output, it is not appropriate to analyze the efficiency of R&D due to the time-lag and spill-over effect. Also, BBC model which assumes variable returns to scale has difficulty in deriving priorities between decision making units. Recently, Range Adjusted Measure (RAM) model has been suggested in R&D efficiency analysis. RAM model measures the efficincy by eliminating inefficiencies under variable returns to scale assumption, and its strong monotonicity enables to provide clear priorities between decision making units. In this study, we analyzed the efficiency of national R&D programs for drug development using the two-step approach, including RAM model and Tobit regression analysis, and discussed major policy implications.

• Journal of Korean Institute of Industrial Engineers
• /
• v.43 no.3
• /
• pp.154-163
• /
• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.27 no.3
• /
• pp.90-97
• /
• 2019

The International Civil Aviation Organization(ICAO) recently established the Global Aviation Safety Plan(GASP) for national aviation safety management, along with the enactment of Annex 19, Safety Management System(SMS). ICAO require the establishment of the 'States Safety Programs(SSP)' for countries with excellent safety evaluation, including Korea, and the establishment of aviation safety supervision systems for all Contracting States by 2017 under the enactment of ICAO Annex 19. Required. The Ministry of Land, Infrastructure, and Transport has continuously invested in R&D to secure such aviation safety systematically, and is making efforts to develop and disseminate related technologies by establishing long-term R&D roadmaps. A study on aviation safety supervision among the system-based aviation safety supervision support technology development R&D project, which is underway as part of the aviation safety technology development project of the Ministry of Land, Infrastructure and Transport. We conducted a study to see if this methodology logically guarantees reasonableness.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.04a
• /
• pp.122-125
• /
• 2000

The Analytic Hierarchy Process (AHP), a decision making model, which is more applicable than other methods to R&D project selection, particularly when it is applied to intangibles. The objective of this paper is to develop an extended model of the AHP which Is linked to Cross Impact Analysis to assist in the ranking of a large number of technological alternatives. In this study, we developed a priority setting algorithm which considers the cross-impact of the future technology alternatives and thus developed an integrated cross-impact hierarchical decision-making model, which sets the priority by considering technological forecasting and technology dependency

• Asian Journal of Innovation and Policy
• /
• v.5 no.2
• /
• pp.197-207
• /
• 2016

This paper seeks to measure the monetary value of technical development in the deep seabed manganese nodule mining by applying the compound option model (COM). The COM is appropriate for the project in terms of its decision-making structure and embedded uncertainty. The estimation results show that the deep seabed mining project has more economic potential than shown by the previously obtained results from the discounted cash flow (DCF) analysis. In addition, it is reasonable to invest in the project taking the various uncertainty factors into consideration, because the ratio of the value to the cost of the project is far higher than one. This information can be utilized in national ocean policy decision-making.

• Journal of the Korean Society of Systems Engineering
• /
• v.5 no.1
• /
• pp.49-56
• /
• 2009

This research attempts to acquire technical performance measure information based on identifying the Critical To Quality(CTQ) parameters of user requirement by using Quality Function Deployment(QFD) methodology in the initial phase of a defense R&D project. This results will contribute to the integration of technical progress to the Work Breakdown Structure(WBS) based project performance tracking. It also improve the bridging of systems engineering activities to the project management and the project decision making process.

• Proceedings of the KIEE Conference
• /
• 2001.11c
• /
• pp.123-126
• /
• 2001

종합적인 공정 제어 자동화 시스템 구현을 위해 계층적이고 개방형 방식에 의한 시스템 구축이 이루어지고 있다. 상위 계층 시스템은 하위 계층 제어 시스템의 제어기 설정치를 결정하는 방법으로 다양한 의사결정(Decision Making)방법을 도입하여 하위 계층 시스템과 연계하여 계층적인 종합 공정 제어 자동화 시스템 구축을 시도하고 있다. 본 연구에서는 상위 계층 시스템 구현을 위해 신경회로망 방식을 채택한 상위 지능형 제어 시스템을 제안하여 연속형 프로세스의 최적 의사 결정을 효과적으로 할 수 있도록 하였고 이를 실현화 하는데 있어 UML방식의 객체지향 설계방식을 도입함으로써 시스템의 재 사용성 및 확장성을 가지는 개방형 상위 의사 결정 시스템을 개발하였다. 개발된 시스템을 수처리 연속 공정인 약품주입 공정에 적용하였다.

• Journal of Agricultural Extension & Community Development
• /
• v.23 no.4
• /
• pp.419-429
• /
• 2016

This study focuses on the policy priorities for training agro-healing experts. Training agro-healing experts is an important task that should boost local community in rural areas. In order to make an efficient decision making, the study analyses priority of relevant policies using the AHP(Analytic Hierarchy Process) method. According to the results, R&D comes out first. Human Resource Development(HRD), financial support, and the construction of legal system comes after R&D. In R&D, qualifications and guidelines for participants comes out the most significant issue. In the aspect of HRD, it is very important to develop and utilize regional personnel such as unemployed youth and retirees from related fields. As for financial support, funding for educational facilities (i.e. classrooms and farmland for practice) is needed. In case of legal system, it is desirable to introduce the recruiting experts system and qualification system certified by government.

• Journal of Korean Institute of Industrial Engineers
• /
• v.40 no.2
• /
• pp.172-183
• /
• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• Transactions of the Korean hydrogen and new energy society
• /
• v.20 no.1
• /
• pp.22-30
• /
• 2009

Energy environment has been changing rapidly such as the fluctuation of oil prices and the effect on UNFCCC. Oil price change affects Korea's economy heavily due to her poor natural resources and large dependence of consumed energy resources. Korea takes the 4th place of importing the crude oil and 9th place in $CO_2$ emissions with the 1st place of $CO_2$ emissions increasing rate. Considering the current statue of Korea including oil price change and UNFCCC, Korea will be expected to be the Annex I nation due to Korean energy environments and the quantity of $CO_2$ emission. Energy technology development is a crucial key to cope with Korea's national energy security and environments. In this study, we establish the framework, which allocates the relative weights of assessment criteria and sub-criteria, for assessing and selecting R&D programs of energy technologies strategically. We integrated fuzzy theory and analytic hierarchy process (AHP) approach since the fuzzy AHP approach reflects the vagueness of human thoughts and perception effectively as making pairwise comparisons of criteria and alternatives. The fundamental data of this research results will support R&D planning phase for policy-makers and the production of well focused R&D outcomes.