• Title/Summary/Keyword: estimate cost

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A Risk Analysis Model Using VERT for R & D Project Management (R & D 프로젝트의 위험분석모형의 연구)

  • 황홍석
    • Journal of the Korean Operations Research and Management Science Society
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    • v.20 no.1
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    • pp.85-99
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    • 1995
  • Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.

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A Study on the Economic Values and Productivity Attained through a Reduction in Fishing Vessels Engaged in Coastal and Offshore Fisheries (연근해어업 어선감척사업으로 인한 생산성 및 투자 효과에 관한 연구)

  • Choi, Jong Du
    • Ocean and Polar Research
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    • v.36 no.4
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    • pp.343-351
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    • 2014
  • The purpose of this study is to estimate the economic value and productivity achieved through a reduction in fishing vessels engaged in coastal and offshore fisheries. We found that the value of increasing catch by types in offshore and coastal fisheries was about 17,338 billion won. To examine the economic value, a cost-benefit analysis was applied. This is based on the total cost of vessel reduction (4,576 billion won) assumed to be invested equally each year for five years. BCR and NPV with a discount rate (5.5%) were used to compare the profit of fishery activities in offshore and coastal areas. The model results showed that the NPV and BCR in offshore and coastal fisheries was 5,522 billion won and 2.340 respectively.

A Study of the Order of Precedence Investment in Distribution System Using Interruption Cost with Facility Failure Rate (정전비용과 설비고장률을 이용한 배전계통의 설비 투자 순위평가 분석)

  • Chu, Cheol-Min;Kim, Jae-Chul;Moon, Jong-Fil;Lee, Hee-Tae
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.258-260
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    • 2005
  • Recently, it is focused on a methodology to estimate a order of precedence investment in distribution power system under competitive electricity market. This paper suggests methodology to evaluate the order as using a sensitivity of system interruption cost in distribution system regarding a failure rate of distribution components. In this paper, by using one of feeder in RBTS model, the order is assessed to compare valuation about sensitivity of interruption cost with valuation about sensitivity of estimated reliability indices. In conclusion, it is shown that results of precedence investment based on each methods are difference.

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Multistage Point and Confidence Interval Estimation of the Shape Parameter of Pareto Distribution

  • Hamdy, H.I.;Son, M.S.;Gharraph, M.K.;Rashad, A.M.
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.1069-1086
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    • 2003
  • This article presents the asymptotic theory of triple sampling procedure as pertain to estimating the shape parameter of Pareto distribution. Both point and confidence interval estimation are considered within the same inference unified framework. We show that this group sampling technique possesses the efficiency of Anscome (1953), Chow and Robbins (1965) purely sequential procedure as well as reduce the number of sampling operations by utilizing Stein (1945) two stages procedure. The analysis reveals that the technique performs excellent as far as the accuracy is concerned. The present problem differs from those considered by many authors, in multistage sampling, in that the final stage sample size and the parameter's estimate become highly correlated and therefore we adopted different approach.

A Study on deciding optimal price of Bioinformatics services (바이오인포매틱스(Bioinformatics) 서비스의 적정가격 산정에 관한 연구)

  • Choi, Won-Hoon;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.18 no.1
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    • pp.203-208
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    • 2016
  • Bioinformatics service is very new and emerging in market that provides information such as whether or not occurrence of a particular disease through the base of DNA(Deoxyribonucleic Acid) & RNA(Ribo Nucleic Acid) sequence analysis. Recently, interest growing rapidly in utilization of the industrial purpose, but provision of commercialization like pricing and service packaging is not enough to go to market. For go-to-market, firstly refine the services and perform cost calculation of services in cost-plus method then estimate consumer utility by conducting conjoint analysis. Collectively, with cost and consumer utility result, optimal service price can be calculated.

Low-Cost IR Sensor-based Localization Using Accumulated Range Information (누적된 거리정보를 이용하는 저가 IR 센서 기반의 위치추정)

  • Choi, Yun-Kyu;Song, Jae-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.8
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    • pp.845-850
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    • 2009
  • Localization which estimates a robot's position and orientation in a given environment is very important for mobile robot navigation. Although low-cost sensors are preferred for practical service robots, they suffer from the inaccurate and insufficient range information. This paper proposes a novel approach to increasing the success rate of low-cost sensor-based localization. In this paper, both the previous and the current data obtained from the IR sensors are used for localization in order to utilize as much environment information as possible without increasing the number of sensors. The sensor model used in the monte carlo localization (MCL) is modified so that the accumulated range information may be used to increase the accuracy in estimating the current robot pose. The experimental results show that the proposed method can robustly estimate the robot's pose in indoor environments with several similar places.

Partioning for hardwae-software codesign (하드웨어-소프트웨어 통합 설계를 위한 분할)

  • 윤경로;박동하;신현철
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.7
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    • pp.261-268
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    • 1996
  • Hardware-software codesign becomes improtant to effectively sagisfy perfomrance goals, because designers can trade-off in the way hardware and software components work teogether to exhibit a specified behavior. In this paper, a hardware-software pratitioning algorithm is presetned, in which the system behavioral description containing a mixture of hardware and software components is partitioned into hardware part and software part. The partitioning algorithm tries to minimize the given cost function under constraints on hardware resources or latency. Recursive moving of operations between the hardware and software parts is used to find a near optimum partition and the list scheduling approach is used to estimate the hardware area and latency. Since memory may take substantial protion of the hardware part, memory cost is included in sthe hardware cost. Experimental resutls show that our algorithm is effective.

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Economic Analysis for Vehicle Maintenance Information System of Seoul Metro (서울메트로 차량 유지보수체계 정보시스템의 경제성 분석)

  • Chung Choong-Sik
    • Journal of the Korean Society for Railway
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    • v.9 no.4 s.35
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    • pp.473-481
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    • 2006
  • This study attempts to estimate economic benefits in terms of cost sayings and qualitative effects resulting ken implementation of new vehicle maintenance information system. It is widely expected that the effect of new vehicle maintenance information system will be significant in cost savings by information sharing and electronic documentation. To evaluate the economic feasibility of new system implementation, the study conducted seven subsystems case studies on the vehicle maintenance information system of Seoul Metro. Economic benefits are estimated by measuring the time savings, in turn, are calculated into cost savings by multiplying the average wages per hour of employee. The result of case study showed that over the 20 billion Won will be saved owing to new vehicle information system implementation. In conclusion, this study will contribute to the field of practices for the most, in evaluation of the economic benefits resulting from new information system implementation in the railway organization.

Estimates of the Economic Value of Housework by Fulltime Housewives in Korea (한국주부의 가사노동의 경제적 가치추정)

  • 이정우
    • Journal of the Korean Home Economics Association
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    • v.25 no.4
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    • pp.99-111
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    • 1987
  • The purpose of this study is to survey alternative methods of valuation of housework, and then to estimate the economic value of housework done by fulltime housewives in Korea. Four different methods-Self Estimation by Housewives, Opportunity Cost, Individual Function Cost and Housekeeper Replacement cost-are tried for the estimation of economic value of housework. The results of this study can be summarized as follows: (1) The economic value of housework varies substantially by the methods of estimation. The average are: *Estimates of Economic values of Housework by Each Method of Estimation (2) The economic value of housework varies with the level of education, ages, household income, the size of family, the number of children, the number of preschool children.

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Life Cycle Cost Estimation of Cleaning Robot for External Windows (유리창 외부 청소용 로봇의 생애주기비용 예측)

  • Kim, Kyoon-Tai;Jun, Young-Hun;Kim, Jeoung-Tae;Park, Kyeong-Ho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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    • pp.272-273
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    • 2017
  • As businesses put a greater emphasis on outward appearances, the demand for external window cleaning has been on the rise. However, with the conventional labor-intensive window cleaning method, it is hard to meet this demand. Therefore, this study proposes a Life Cycle Cost (LCC) analysis model for a guiderail-type cleaning robot, and estimate the LCCs of the conventional method and the cleaning robot. The findings of this research are expected to serve as a guide for future development of a cleaning robot.

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