• 대한토목학회논문집
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• 제33권2호
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• pp.781-790
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• 2013

본 연구에서는 평균건설단가를 적용하여 개략 공사비를 산출하는 기존 방식에서 벗어나 대표공종을 이용한 입력변수 도출 모델을 구축하여 기본설계단계에서 고려되어지는 여러 입력변수들을 활용하여 P.S.C(Prestressed Concrete) Box Girder 교량에서 널리 활용되고 있는 I.L.M(Incremental Launching Method) 공법에 연구 모델을 적용하고자 한다. 2000년부터 설계된 공사비 데이터와 설계자료 등을 분석하여 상부공사 중 총 공사비대비 누적비율 95%이상을 차지하는 공종을 대표공종으로 도출하였다. 각 대표공종의 하위공종에 대한 내역 분기를 실시하여 각 항목들의 Database를 구축하였다. 본 연구에서는 다각적인 측면에서 개략공사비 산정 모델을 개발 및 제시하였으며, 사용자 입장에서 보다 쉽게 접근할 수 있도록 대표공종을 기초로 단위물량을 사용한 개략공사비 산정모델(I)과 상관성이 높은 입력변수를 선택한 개략공사비 산정모델(II)과 상관계수 0.6이상의 입력변수들을 모두 포함하는 다중회귀분석을 통한 개략공사비 산정모델(III)을 제시한다. 실제 총공사비와 본 연구에서 제시하는 개략공사비 산정모델들을 비교하고, 신뢰성을 검증함으로써 현재 국내에서 사용되는 산정방법에 비해 정밀도 측면에서 효율적인 공사비 관리방법을 제시한다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2009년도 추계 학술논문 발표대회
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• pp.193-198
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• 2009

It is an important issue in cost management to contract with the standard of cost estimate by the reasonable way in public construction projects. For the standard of cost estimate based on the Standard Estimating System, there is a difference of labor inputs between Standard Estimating System and actual quantities in construction projects. The duration of form work in multi-family housing depends on the manpower compared with other work, which is the critical path on the schedule management to be decided quality, and is the important to the cost management of construction projects. This study presented a simulation model of the productivity analysis for selecting the standard work type of form work in Multi-family housing construction projects.

• 제어로봇시스템학회논문지
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• 제16권5호
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• pp.476-480
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• 2010

This study deals with stockout costs in the supply chain optimization model under the framework of batch-storage network. Stockout is very popular in chemical industries. Estimating stockout cost involves an understanding of customer reactions to a seller being out of stock at the time the customer wants to buy an item. This involves massively non-trivial work such as direct customer interviews and extensive mail survey. In this study, we will introduce a new interpretation of stockout costs combined with batchstorage network optimization model and thus suggest an easy way of estimating stockout costs. Optimization model suggest that optimal process and storage sizes considering stockout cost are smaller than those that do not consider stockout cost. An illustrative example support the analytical results.

• 한국국방경영분석학회지
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• 제31권2호
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• pp.45-59
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• 2005

As more advanced and complicated equipments are introduced, effective operation and maintenance, along with acquisition of the equipments, commands more significance lately. In order to perform effective depot maintenance, the Republic of Korea Army is continually developing the concept, cycle and method for operating the depot maintenance. Not only the high-cost testing and maintenance equipments but the highly developed maintenance technologies are required for the depot maintenance of the latest weapon system. In order to have the depot maintenance capability, this paper provides the standard and procedure for estimating the development cost of the depot maintenance elements to be utilized in the depot maintenance elements development project.

• 산업경영시스템학회지
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• 제33권3호
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• pp.55-62
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• 2010

Currently, cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as key decision points. Parametric cost estimating models have been used extensively to obtain appropriate cost estimates in early acquisition phase. However, they have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed in the U.S.A. environment. In order to obtain a good R&D cost estimate, developing our own CERs (Cost Estimation Relationships) using historical R&D data is essential. Nevertheless, there has been little research to develop our own CERs. In this research, we established a CER development process and found some cost drivers in the historical movement weapon system R&D data. The R&D CER is developed using the PCR(Principle Component Regression) method to remove multicollinearity among data and to overcome the restriction of the insufficient number of sample. At least, this research is meaningful as a first attempt in terms of defining the CER development process and obtaining our own R&D CER based on the historical data in Korean weapon system R&D environment.

• 한국건설관리학회논문집
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• 제7권3호
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• pp.149-158
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• 2006

현행 공동주택 신축공사 발주 시 건설기술관리법에 의해 발주자는 공사예정가격에 환경관리비를 별도로 계상해야 한다. 그러나 환경관리비 산출항목과 세부산출기준이 명확하지 못하다. 또한 환경관리비는 공사현장의 특성이 고려되어 계상되어야 함에도 불구하고 품셈에 의해 산출 가능한 항목만을 계상하거나, 요율로써 획일적으로 적용하고 있는 실정이다. 따라서 본 연구에서는 건설기술관리법의 환경관리비 정의를 바탕으로 산출기준을 재정립하여 환경관리비 항목도출과 산출방법을 개발하였다. 본 환경관리비는 공동주택 신축공사를 대상으로 하였으며, 산출방법과 데이터의 신뢰성 및 객관성을 확보하기 위하여 공공기관인 OOOO공사의 실적데이터를 기반으로 자료의 수집 및 분석을 실시하였다. 그리고 공사현장의 특성을 고려하여 공동주택 신축공사 환경관리비를 쉽고 간편한 매트릭스에 의해 산출할 수 있도록 하였다. 또한 사례를 통하여 본 연구에서 개발한 환경관리비 산출 매트릭스의 타당성을 검증하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.377-377
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• 2000

Current software cost estimation models, such as the 1951 COCOMO, its 1987 Ada COCOMO update, is composed of nonlinear models, such as product attributes, computer attributes, personnel attributes, project attributes, effort-multiplier cost drivers, and have been experiencing increasing difficulties in estimating the costs of software developed to new lift cycle processes and capabilities. The COCOMO II is developed fur new forms against the current software cost estimation models. This paper provides a case-based analysis result of the cost driver in the software cost models, such as COCOMO and COCOMO 2.0 by fuzzy and neural network.

• 경영과학
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• 제14권1호
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• pp.1-10
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• 1997

We consider a problem of estimating the economics of scale for the natural gas industries. The goal programming/constrained regression is employed for estimating the economics of scale for the natural gas industry, and the problem is formulated as a linear programing problem. Also the translog cost function is used to represent the cost structure for the natural gas industry. The Korean Gas Corporation was selected as a case study, and we demonstrate that the suggested goal programming/constrained regression approach is appropriate for estimating the economies of scale for the Korean nature gas industry.

• 한국건축시공학회지
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• 제4권4호
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• pp.117-126
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• 2004

Construction industry is faced with the problems such as the quickly changeable circumstance and increasing construction companies due to regulation mollification of company registration. In order to overcome these problems, new estimation system based on historical estimation cost is ready to introduce by government step by step. But the time of transition for estimation system causes another problems such as chaos addition to simultaneity of a standard of estimation system and new estimation system, lack of related regulation, accumulation of historical extensive cost data, and adjustment methodology when historical estimation data is applied to next projects. The purpose of this study is to suggest the change factors by activities for estimating historical cost for apartment housing projects. New estimation system is based on historical construction data. For application of this system, the standard adjustment methodology system is necessary. and extensive cost data should be accumulated under an unified construction work classification system. Therefore in this study, according to the construction work classification system, every apartment housing project was classified to 16 work classifications, and 7 major composed items which occupy more than 85% of construction costs are analyzed by detailed activities and by average ratio and maximum ratio each of them. In the result of the study, furniture work, foundation work and masonry work are the works which have big gap of costs between average ration and maximum ratio. In addition to suggestion of change factor by work species, 5 qualified construction specialists are interviewed and change factors in 7 major works are analyzed.

• 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.