• 산업공학
• /
• 제25권3호
• /
• pp.347-356
• /
• 2012

The acquisition cost of defense weapon system has been continuously increasing because of art-of-technology of it. This phenomenon requires efficiency and transparency in the weapon system acquisition process through cost estimation. Therefore cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as a key decision point. The Commercial parametric cost estimating models have been using extensively to obtain appropriate cost estimates in early acquisition phase. These models have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed based on foreign R&D data. Also estimation results are different from Korean defense industry accounting system. So, some studies have been tried to develop a CER (Cost Estimation Relationship) based on the Korean historical data. However, there are some restrictions to improve the predictability and ensure the stability of the developed singular CERs which consider the following data characteristics individually. The the abnormal conditions of data that is multicollinearity, outlier and heteroscedasticity under rack of the number of observations. In this paper, a CER's Linear Combining Model is proposed to overcome those limitations which guarantee more accurate estimation (25.42% higher precision) than other singular CERs. At least, this study is meaningful as a first attempt to improve the predictability of CER with insufficient data. The methodology suggested in this study will be useful to develop a complex Korean version cost estimating model development in future.

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

• 한국국방경영분석학회지
• /
• 제36권3호
• /
• pp.43-56
• /
• 2010

최근 국방 무기체계 획득 환경의 변화는 무기체계 획득비용의 효율적 집행이라는 측면에서 비용분석의 중요성을 더욱 강조하고 있다. 그러나 정책 및 제도적 측면에서 비용분석이 강조되고 있는 반면 비용분석을 위한 국내 기반여건은 매우 부족한 실정이다. 국내에서의 비용추정은 주로 사업초기부터 국외에서 도입한 비용추정 전산모델을 사용하고 있으나 국내 방산환경에 적합하지 않은 많은 제약사항을 가지고 있다. 이러한 이유로 최근 한국형 비용분석 전산모델을 개발하고자 하는 공감대가 형성되었으며 체계적인 연구가 현재 진행되고 있다. 따라서 본 연구에서는 한국형 비용분석 전산모델의 핵심 논리인 비용추정관계식 개발 방법과 절차를 제안하고 있다. 특히 데이터가 가지는 각각의 회귀적 한계, 즉 다중공선성, 이상치, 이분산성 등을 식별하고 이에 적합한 회귀방법을 선택함으로서 데이터의 특성을 고려한 최선의 회귀모형을 구축하는 방법 및 절차를 제안하고자 한다. 제안한 방법은 국내 포병 무기체계 연구개발 자료를 기초로 비용추정관계식 개발방법 및 절차에 대한 이론적 적용가능성을 사례를 통해 검증하였다.