• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.106-123
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• 2019

Demand for performance analysis is increasing for efficient use of limited budgets such as improving investment efficiency and strategic budget allocation in accordance with the continuous increase demand of R&D budget for developing advanced weapon systems in the future battlefields. In accordance with the Act on the Performance Evaluation and Performance Management of the National R&D Projects established in March 2006, the performance analysis has been conducted for the systematic management and utilization of the R&D project performance. It was recognized as a project to achieve self-defense through strengthening the weapons system development capability, however, efficiency evaluation of Defense R&D projects was not much emphasized. Research on the efficiency analysis of defense R&D projects has been conducted in recent years, but most studies focused on corporate efficiency and productivity of defense companies. In this study, we analyzed the three-stage performance of defence R&D projects based on the logical model using the data envelope analysis(DEA) model. We also analyzed performance analysis from various perspectives through R&D type, technology classification and performance model. This study is expected to help defense department improve defense R&D projects and make decision.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.6
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• pp.107-116
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• 2006

Recently, it has been important not only to evaluate environmental effects but also to assess cumulative and comprehensive effects by the development projects. This paper concentrates on temporal and spatial cumulative impacts on Suji district in Yongin, Gyunggi-do. This paper adopted two methods to assess the cumulative impacts. First, it assesses the temporal change of forest patch size and land cover according to the patch size. Second, it compares housing development zones with the neighborhood. The result of the research appears that the damage is very serious, especially in small forest. The Forest area is changed to farm land, most of them become to built-up area later. In addition, it is assessed that the secondary housing development projects did more harm than the initial one. By assessing the cumulative impacts on Suji district, this research suggests to minimize two kinds of solutions : comprehensive environmental assessments in regional unit and regulation on total forest quantity.

• International journal of advanced smart convergence
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• v.5 no.2
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• pp.47-52
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• 2016

In this study there was the analysis of government incentives and resident support of public crematoriums, typically identified in Korea as a locally unwanted land use (LULUs), in the metropolitan area. The study looked at what government programs would be potential incentives for allowing the crematoriums to exist in metropolitan communities. Such programs were diverse, with projects focused on: enhancing resident welfare, increasing resident income, funeral facilities and management consignment, community oriented programs, education, funding, and others. Among them, it was found that residents were most in support of programs for enhancing resident welfare and increasing income among residents. In order to resolve the complexities of community support for LULUs and government incentives to shift public perception of cremation, three main policies are proposed. First, it would be necessary to compliment additional project support policies which provide medical services, resident prefered projects, and improvement of substandard housing. Second, it would be important to establish ordinances concretely identifying residential support projects based on community needs assessment. Lastly, it would be of the government's best interest to build policies for resident supported projects that reflect local conditions and the residents' demands for allowing non-preferred facilities to be built, and then to analyze the economic feasibility of these demands.

• Journal of Information Technology Services
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• v.4 no.2
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• pp.1-22
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• 2005

The object of this study is to elicit major success factors along with the phases of implementing the BPR in case of public corporations. To obtain the goal of this research, (1) this study reviews and integrates the major previous BPR studies and shows critical success factors of implementing BPR projects coincided with the characteristics of the public organizations. (2) This study has analyzed and arranged the details of BPR projects of public corporations in South Korea through the literature survey, the questionnaire and the interview. (3) This study classifies 40 critical success factors which were identified in existing studies into ones belonging to 3 phases of BPR projects implementation: Introduction Phase, Execution Phase and Stabilization Phase. (4) This study has tested the relation between critical success factors on each stage of BPR projects implementation and the performance variables. It has proven that there is the statistically significant correlation between the success factors and the performance. The findings of this study are thought not only to be useful as a practical guideline in carrying out BPR project Implementation but also to provide significant basis for constructing the theoretical framework of effective BPR project implementation strategy.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.114-122
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• 2003

Dynamic and fragmented characteristics are two of the most significant factors that distinguish the construction industry from other industries. Previous forecasting techniques have failed to solve the problems derived from the above characteristics, and do not provide considerable support This paper deals with providing a more precise forecasting by applying Case-based Reasoning (CBR). The newly developed model in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, the choice of the numbers of referring projects was investigated. It is concluded that selecting similar projects at $5{\~}6{\%}$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.2
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• pp.31-44
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• 2008

A selection technique for innovative projects on the beginning stage has been presented in this article. It can be applied in projects assessment in HEI, enterprises, development institutes, etc. It is rather difficult to assess the project quality on the beginning stage of R&D due to the uncertainty in the technical and economic indices but the new development analysis on this stage is of a great interest. By innovative project quality as a management object we will mean those characteristics relating to the results capacity of the projects and its realization process to satisfy the requirements to the innovative products competitiveness and their innovative attractiveness for investors. The most important question in the innovative projects management is the determination of its quality level under modern conditions. The aim of the research is to analyze and evaluate the decision making during the project management process. The objectives and hypotheses are assessment of an innovative project with the application of McKinsey's model is better to realizes by 3 stages: a) selection of optimal criteria; b) determination of weighing coefficients; c) projects positioning in a matrix.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.117-124
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• 2004

Dynamic and fragmented characteristics ale two of the most significant factors that distinguish the construction industry from other industries. Previous forecasting techniques have failed to solve the problems derived from the above characteristics and do not provide considerable support. This paper deals with providing a more precise forecasting by applying Case-based Reasoning (CBR). The newly developed model in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting. the choice of the numbers of referring projects was investigated. it is concluded that selecting similar projects at $5\~6\;\%$ out of the whole database will produce a more precise forecasting. The new forecasting model. which suggests the predicted values based on previous projects, is more than just a forecasting methodology it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the know ledge derived from invaluable experience.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.45-61
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• 2017

Business intelligence has been attracting much attention these days. Despite such popularity of BI systems, it is widely known that about a half of BI system projects have failed. To grasp why many BI projects end in failure and what factors would make BI projects less failure-prone, a number of BI studies were made to produce a variety of CSFs. However, there is a paucity of information on whether these CSFs are distinctive from those of typical information systems. By identifying how BI CSFs differ from CSFs of typical information systems, we would be able to explain why most BI projects are more likely to be failure. It is believed that a corrective measure about CSFs will lead to more success in future BI projects. In addition, though there have been a number of similar types of BI systems such as decision support systems and executive information systems in existence, there was no study to determine whether there is ever a discrimination between CSFs of BI systems and the similarly-titled systems. This study is to answer these questions using a literature review analysis. The findings of our study are expected to be helpful in a successful implementation of BI systems.

• Korean Journal of Computational Design and Engineering
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• v.19 no.1
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• pp.80-90
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• 2014

In architecture projects, BIM library has widely been using for prefabrication of products and design process. However, since the shape of structures is different by each project in civil engineering projects and a shape representation system is complicated, it is not easy to develop a standardized BIM library. To solve these issues, this study develops BIM library based on standardized 2D shop drawings for civil structures. The standardized shop drawings, which are the targets of the BIM library model, should be first selected. Besides, in order to define modeling scope with the level of general and shop drawings for each structure, LOD(Level of Detail) and breakdown structure are determined, and development methods of families of 3D object type including 2D profile and rebar through commercial software are established. With these, properties of BIM library are configured, and a utilization model of the BIM libraries is constructed for 3D modeling and a simulation using the BIM library. Therefore, this study can identify properties that are necessary when IFC schema is configured for civil engineering projects. For future, it is expected that easiness of BIM design for the civil engineering projects and generation, management, and analysis system of BIM library for road projects will be secured.

• Journal of Engineering Education Research
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• v.22 no.4
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• pp.61-70
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• 2019

As product development process becomes complex, it becomes more important for engineering students to experience collaborative product development. Especially the collaboration experience based on Product Data Management (PDM) systems is useful, since participants are likely to use the same environment for their professional product development. However, instructors have difficulties to evaluate contribution of each participant to their projects during the practices, since it is hard to trace personal activities for collaborative design processes. To solve this problem, this study suggests a data-driven objective method that analyses product data accumulated in PDM databases to evaluate numerically calculated contributions of participants to their class projects. As a result, the quantitative measures provided by the data-driven analysis with qualitative measures for project results can improve the fairness and quality of evaluation of contributions of participants to collaborative projects. This study implemented the proposed evaluation method with an information system and discussed the result of the application of the system to product development practices.