• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.176-181
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• 2011

A role of cost modeler is that of facilitating design process by the systematic application of cost factors so as to maintain sensible and economic relationships between cost, quantity, utility and appearance. These relationships help to achieve the client's requirements within an agreed budget. The purpose of this study is to develop a parametric cost estimating model for the early design stage by using the multi-dimensional system of OLAP (On-line Analytical Processing) based on the case of quantity data related to architectural design features. The parametric cost estimating models have been adopted to support decision making in the early design stage. These models typically use a similar instance or a pattern of historical case. In order to effectively use this type of data model, it is required to set data classification and prediction methods. One of the methods is to find the similar class in line with attribute selection measure in the multi-dimensional data model. Therefore, this research is to analyze the relevance attribute influenced by architectural design features with the subject of case-based quantity data used for the parametric cost estimating model. The relevance attributes can be analyzed by Analytical Characterization. It helps determine what attributes to be included in the OLAP multi-dimension.

• 한국군사과학기술학회지
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• 제13권1호
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• pp.84-90
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• 2010

Korean army currently considers the development of the new generation MLRS(Multiple Launcher Rocket System) as a new alternative, which responses on the renovation of the artillery and future battlefield environment. This study suggests that it presents cost-effectiveness of MLRS based on the Analytic Hierarchy Process and Parametric Estimating(PRICE H). According to this study, the cost-effectiveness of new generation MLRS presented that alternative A is 2.30 times and alternative B is 1.70 times, which are better than currently operating M270A1. Therefore, The best acquisition is alternative A that launcher is carried on currently operating 10ton standard truck but final acquisition alternative should be politically decided to consider viability of operator, performance and the latest of equipment.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.922-925
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• 2008

Many highway projects are under way in Korea. However, owners frequently find that the project cost exceeds the budget and they are unable to identify the underlining reasons. The main purpose of this research is to develop cost models for transportation projects in Korea using the multiple linear regression (MLR). The data consist of 27 completed transportation projects, built from 1991 to 2001, The technique of multiple regression analysis is used to develop the parametric cost estimating model for total budget cost per highway square meter (TBC/$m^2$). Findings of the study indicated that MLR car be applied to highway projects in Korea. There are twf) major contributions of this research. (1) the identification of transportation parameters as a significant cost driver for transportation costs and (2) the successful development of the parametric cost estimating models for transportation projects in Korea.

• 한국국방경영분석학회지
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• 제25권2호
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• pp.44-61
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• 1999

Cost estimation has posed a significant challenge to estimators, planners, and managers in both government and military. Considerable historical evidence shows that accurate cost estimation has been difficult to achieve across a wide range of projects, including weapon systems. This paper introduces new cost estimating concept, CAIV(Cost As an Independent Variable) and a cost estimating case study using PRICE model, computer aided parametric estimating models(CAPE) for K1 tank cost estimate. CAIV concept is to set realistic but aggressive cost objectives easily in each acquisition program and to achieve cost, schedule, and performance objectives considering various managing risks with a project manager and industry teams. The Price model is one of computer aided cost estimating models and widely used in U.S. defense system analysis as a tool for CAIV. We analyze theories, inputs, outputs of the PRICE model and present a case study for K1 tank to estimate costs in requirement and concept phase, program and budgeting phase, and life cycle phase. Finally we obtain results that the Price model can be used in various phases of PPBEES depending upon available data and time.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.707-716
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• 2009

The role of cost modeller is to facilitate the design process by systematic application of cost factors so as to maintain a sensible and economic relationship between cost, quantity, utility and appearance which thus helps in achieving the client's requirements within an agreed budget. There are a number of research on cost estimates in the early design stage based on the improvement of accuracy or impact factors. It is common knowledge that cost estimates are undertaken progressively throughout the design stage and make use of the information that is available at each phase, through the related research up to now. In addition, Cost estimates in the early design stage shall analyze the information under the various kinds of precondition before reaching the more developed design because a design can be modified and changed in all process depending on clients' requirements. Parametric cost estimating models have been adopted to support decision making in a changeable environment, in the early design stage. These models are using a similar instance or a pattern of historical case to be constituted in project information, geographic design features, relevant data to quantity or cost, etc. OLAP technique analyzes a subject data by multi-dimensional points of view; it supports query, analysis, comparison of required information by diverse queries. OLAP's data structure matches well with multiview-analysis framework. Accordingly, this study implements multi-dimensional information system for case based quantity data related to design information that is utilizing OLAP's technology, and then analyzes impact factors of quantity by the design criteria or parameter of the same meaning. On the basis of given factors examined above, this study will generate the rules on quantity measure and produce resemblance class using clustering of data mining. These sorts of knowledge-base consist of a set of classified data as group patterns, of which will be appropriate stand on the parametric cost estimating method.

• 한국군사과학기술학회지
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• 제15권5호
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• pp.565-576
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• 2012

Cost estimates are necessary for government acquisition program to support decisions about funding, to develop annual budget requests and to validate resource requirements at key decision points. Many researches have been done about cost estimating technique recently. Parametric cost estimating models based on CERs(Cost Estimating Relationships) have been mainly used using regression method with historical data. However, there are many restrictions in developing Korean version CERs because the number of data points are too small. Specially, data collection and data management system are unstable in Korean defense environment, when developing CERs. In this research, we analyzed the historical data, and found some cost drivers in guided weapon system area. We developed the Acquisition Unit Cost CER using the regression to remove multicollinearity in the historical data. So we could overcome the restriction of the insufficient sample number. This research as a first attempt is meaningful in terms of obtaining our own Acquisition Unit Cost CER using historical cost and physical characteristic in Korean development environment.

• 융합보안논문지
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• 제13권5호
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• pp.97-105
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• 2013

국가에서 추진하는 모든 프로젝트는 예산이라는 변수에 영향이 크다. 정확한 소요예산 판단불가로 프로젝트 추진 중에 추가적인 예산소요가 발생하여 사업의 중단 혹은 재검토 사례가 빈번히 발생하고 있다. 이는 프로젝트 소요제기단계 및 이를 획득하기 위한 선행연구단계에 제시된 시스템요구사항의 평가와 소요예산의 부정확성으로 기인한다고 평가된다. 시스템요구사항은 사용자가 작성하는 사용자 요구사항과 구별하여 사용자 요구사항을 바탕으로 획득조직에서 시스템의 기술적 요구사항으로 전환하는 것을 말하며 획득조직과 개발자 혹은 제작자 사이에 의사소통을 위한 것이다. 시스템 요구사항 수준은 프로젝트 규모를 결정하는데 중요한 요소로, 시스템요구사항에 대한 비용측면의 적정성 확인은 필수적이다. 그러나 프로젝트 비용요소가 복잡하고 각 요소별로 기준이 상이하여 비용추정이 쉽지 않고 추정된 비용의 오차율도 커서 활용에 어려움이 있었으며, 특히 시스템요구사항을 도출하는 프로젝트 초기단계에는 프로젝트와 관련된 세부자료의 부족으로 비용추정에 어려움이 있었다. 본 연구에서는 요구공학과 비용추정방법에 대한 이론적인 근거를 바탕으로 시스템요구사항 도출 후 비용추정방법을 활용하여 적정성을 검증하고 대안을 비교 후 최적안을 선정하는 아키텍처를 솔루션으로 제시하였고, 이를 위하여 활용 가능한 모수비용추정방법(Parametric Cost Estimating)를 토대로한 비용추정 전산도구인 SEER Cost-IQ를 소개하였다.

• 시스템엔지니어링학술지
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• 제1권1호
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• pp.1-13
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• 2005

The purpose of this paper analyze development feasibility and alternatives for infrared detector development in both technology and cost. Infrared Detector is core component of Thermal Imaging System and developed by ADD from 2006 10 2008 year. We got raw input data from development and technical expert, and then analyze cost and technology for development feasibility, and alternatives study. Technology level is analyzed by TRL(Technology Readiness Level) and AOA(Analysis of Alternatives) is done by development cost estimate. Estimating the development cost, we use SEER-H that is parametric cost estimating tool based on Knowledge Base. This study can help those who are related to the cost and development feasibility analysis of other weapon systems.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.207-211
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• 2008

국내 건설산업은 급격한 시장변화와 경쟁심화의 과정을 겪으면서 프로젝트 초기 단계의 예산 집행 및 관리의 중요성이 증가하고 있다. 설계 완료 이후의 단계에서 조정 가능한 비용은 20%에 불과하기 때문에, 프로젝트 초기 단계에서 중요한 의사결정이 이루어진다. 하지만 초기 단계에서의 의사결정은 설계정보가 확정되지 않고, 정보가 한정되는 등 불확실성 하에서 이루어진다. 이에 따라, 본 연구는 프로젝트 초기 단계의 정확한 비용 예측을 목적으로 parametric method를 사용하여 공사비 예측 방법을 제안하였다. Parametric method를 이용한 공사비 예측 방법은 프로젝트 초기단계에 사용하기에 적합하며, 특히 신속하게 공사비 예측을 할 수 있다는 장점을 지닌다. 국내 아파트 9개 단지 $11{\sim}15$층 규모의 총 84개동 공공아파트 실적자료를 분석하여 공사비와 영향요인간 상관관계 분석을 실시하였다. 다중공선성 문제를 야기하는 변수를 제거한 후, 다중회귀분석을 통하여 공사비 예측 관계식을 도출하였다.

• 디지털융복합연구
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• 제16권7호
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• pp.89-96
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• 2018

본 연구에서는 모수추정법을 활용하여 국내 전문서비스 로봇 개발 데이터를 기초로 H/W비용추정을 위한 방안제시와 더불어 로봇의 적용 환경여건에 따라 달라지는 비용을 추정할 수 있도록 그 항목과 가중치를 도출하고자 한다. 이를 위하여 모수추정법을 활용하여 전문서비스 로봇 비용추정 방정식을 개발하였으며, 환경여건 고려를 위하여 FGI, 델파이를 통해 조정계수 항목과 이에 따른 가중치를 도출하였다. 분석결과 무게, 부피, 제작난이도가 반영된 비용 추정 방정식을 개발하며, 추정된 비용을 환경적 요소에 따라 조정하기 위한 방진/방수, 내열/내한, 안전, 시험, 기술혁신의 내용을 반영한 관계식을 도출할 수 있었다. 이를 통해 전문서비스 로봇의 비용을 추정할 수 있는 객관적인 근거를 마련할 수 있었으며, 이를 기반으로 전문서비스 로봇 H/W개발비용 추정을 위한 지속적인 연구로 이어질 것이다. 향후에는 다양한 전문서비스 로봇을 통해 풍부한 데이터를 수집하여 신뢰성을 높이고, 기능항목 발굴을 통해 모형 강화를 유도할 것이다.