• Title/Summary/Keyword: Initial cost

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Initial Investment Cost Analysis of Facilities of B2S Track System (B2S궤도시스템의 초기 시설 투입비용 분석)

  • Kim, Hyo-San;Min, Jun-Ho;Ryu, Jae-Kwang;Lee, Dal-Jae
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.733-739
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    • 2011
  • B2S(Ballasted track To Slab track) that is track system has been first developed in 2004 with foundation of rich experience and know-how of subway track upkeep and mending of facilities in 36 years to improve an existence pebble track at a concrete track. 'B2S' is admitted technology through patent registration in the domestic and Europe and it's made by a factory and put together at field, so it's able to construct precisely and to reduce a construction period. In addition, safety, the ecological balance and durability are excellent, and walking, cleaning, etc. has the advantage of easy maintenance. 'B2S' is currently laying 27.7km at Seoulmetro as of end of 2010 standard, but it'll be expected to be applied to a domestic Metro more from now on. It is possible to classify the total cost resolution structure of B2S system by R&D cost, test production and experiment cost, the initial facility cost, maintenance cost, disposal cost. In this research, it seems useful for selection evaluation which considered the life cycle cost or economics of the concrete track structure by analyzing an initial cost of facilities.

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Initial Input Cost Analysis by Different Construction Types of Slab Tracks in Urban Railway (도시철도 콘크리트궤도의 유형별 초기시설 투입비용 분석)

  • Kim, Hyo-San;Ryu, Jae-Kwang;Min, Jun-Ho;Han, Dong-Un;Lee, Dal-Jae
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.400-405
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    • 2011
  • The total length of Korean urban railways reaches 1,200km. Urban railway used to be installed with ballasted tracks by reason of low cost at the time of construction, slab tracks are now being installed due to the reasons of the improvement in safety, lengthening service life and more economical method in terms of maintenance. The length rate of slab tracks has exceeded 70% of the domestic urban railways with the methods ranging from STEDEF, LVT, ALT, Eidan-type, B2S to RHEDA. This study surveyed the share of domestic slab tracks, and compared and evaluated the input cost at the initial stage by the types of slab tracks. Construction processes have been standardized by the existing design documents and calculated the initial input cost for the length of 1km of a hypothetical straight line. Cost breakdown structure was evaluated as materials cost, construction cost, equipment cost, indirect cost, etc. It is expected that this study will be used in selection & evaluation which is considering the economic feasibility of slab tracks.

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High Performance Fiber Reinforced Cement Composites in Construction Field (건설분야의 섬유강화 시멘트 복합 신재료)

  • Hong, Geon-Ho;Kim, Ki-Soo;Han, Bog-Kyu
    • Composites Research
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    • v.19 no.1
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    • pp.43-48
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    • 2006
  • High performance fiber reinforced cement composites have better performances than traditional cement based materials, therefore, have been expected as new construction applications such as the materials for construction & bridge structure, repair and rehabilitation applications, anti-collapse applications, anti-noise applications etc. However, they have lots of the problems such as material design, fabrication method and structural analysis. Also, the most serious problems of High performance fiber reinforced cement composites have been expensive initial cost, lack of long-term exposure data. As a result, it is needed that the efforts for lowering the initial cost and accumulation of long-term exposure. There has been hardly assessment results of life cycle cost for HPFRCC in construction field, but some papers showed that total life cycle cost could be profitable if the initial cost could be reduced.

The Use of Particle Swarm Optimization for Order Allocation Under Multiple Capacitated Sourcing and Quantity Discounts

  • Ting, Ching-Jung;Tsai, Chi-Yang;Yeh, Li-Wen
    • Industrial Engineering and Management Systems
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    • v.6 no.2
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    • pp.136-145
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    • 2007
  • The selection of suppliers and the determination of order quantities to be placed with those suppliers are important decisions in a supply chain. In this research, a non-linear mixed integer programming model is presented to select suppliers and determine the order quantities. The model considers the purchasing cost which takes into account quantity discount, the cost of transportation, the fixed cost for establishing suppliers, the cost for holding inventory, and the cost of receiving poor quality parts. The capacity constraints for suppliers, quality and lead-time requirements for the parts are also taken into account in the model. Since the purchasing cost, which is a decreasing step function of order quantities, introduces discontinuities to the non-linear objective function, it is not easy to employ traditional optimization methods. Thus, a heuristic algorithm, called particle swarm optimization (PSO), is used to find the (near) optimal solution. However, PSO usually generates initial solutions randomly. To improve the PSO solution quality, a heuristic procedure is proposed to find an initial solution based on the average unit cost including transportation, purchasing, inventory, and poor quality part cost. The results show that PSO with the proposed initial solution heuristic provides better solutions than those with PSO algorithm only.

STATISTICALLY PREPROCESSED DATA BASED PARAMETRIC COST MODEL FOR BUILDING PROJECTS

  • Sae-Hyun Ji;Moonseo Park;Hyun-Soo Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.417-424
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    • 2009
  • For a construction project to progress smoothly, effective cost estimation is vital, particularly in the conceptual and schematic design stages. In these early phases, despite the fact that initial estimates are highly sensitive to changes in project scope, owners require accurate forecasts which reflect their supplying information. Thus, cost estimators need effective estimation strategies. Practically, parametric cost estimates are the most commonly used method in these initial phases, which utilizes historical cost data (Karshenas 1984, Kirkham 2007). Hence, compilation of historical data regarding appropriate cost variance governing parameters is a prime requirement. However, precedent practice of data mining (data preprocessing) for denoising internal errors or abnormal values is needed before compilation. As an effort to deal with this issue, this research proposed a statistical methodology for data preprocessing and verified that data preprocessing has a positive impact on the enhancement of estimate accuracy and stability. Moreover, Statistically Preprocessed data Based Parametric (SPBP) cost models are developed based on multiple regression equations and verified their effectiveness compared with conventional cost models.

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Life Cycle Cost Analysis of Steel Bridges on Its Paint System during Safe Life Under (강교의 도장방식에 따른 안전수명간 생애주기비용분석)

  • Han, Sang-Chul;Kim, Eun-Kyum;Cho, Sun-Kyu
    • Journal of the Korean Society of Safety
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    • v.17 no.2
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    • pp.63-68
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    • 2002
  • Life Cycle Cost analysis technique is introduced to evaluate cost-effectiveness of two paint systems of steel bridges. The systems are a conventional paint system and a galvanized paint system. The all costs during safe lift such as initial cost repainting costs, disposal costs are considered for the lift cycle cost analysis. The NIST model is used and BridgeLCC 1.0 developed by the NST is utilized as the lift cycle cost analysis tool. It is concluded that, in spite of expensive initial cost, the durable paint system may be cost-effective compared with conventional paint system.

In - Motion Alignment Method for a Low - cost IMU based GPS/INS System

  • Kim, Jeong-Won;Oh, Snag-Heon;Hwang, Dong-Hwan
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.990-994
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    • 2003
  • When the low cost IMU is used, the result of the stationary self alignment is not suitable for navigation. In this paper, an in-motion alignment method is proposed to obtain an accurate initial attitude of a low cost IMU based GPS/INS integration system. To design Kalman filter for alignment, large heading error model is introduced. And then Kalman filter is designed to estimate initial attitude error as the indirect feedback filter. In order to assess performance of the alignment method, computer simulations are carried out. The simulation results show that initial attitude error rapidly reduces.

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A Multi-objective Optimization Method for Energy System Design Considering Initial Cost and Primary Energy Consumption (초기투자비와 1차 에너지소비량을 고려한 에너지시스템의 다중최적 설계 방법론)

  • Kong, Dong-Seok;Jang, Yong-Sung;Huh, Jung-Ho
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.26 no.8
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    • pp.357-365
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    • 2014
  • This paper proposed a multi-objective optimization method for building energy system design using primary energy consumption and initial cost. The designing of building energy systems is a complex task, because life cycle cost and efficiency of building are determined by decisions of engineer during the early stage of design. Therefore, methods such as pareto analysis that can generate various alternatives for decision making are necessary. In this study, the optimization is performed using the NSGAII and case study was carried out for feasibility of the proposed method. As a result, alternative solutions can be obtained for the optimal building energy system design.

An Optimal Decision Model for Capacity and Inclining Angle of Residential Photovoltaic Systems (주택용 태양광발전시스템의 적정 용량 및 설치각 선정을 위한 최적화 모델 연구)

  • Jeon, Jeong-Pyo;Kim, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.6
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    • pp.1046-1052
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    • 2010
  • In residential house, photovoltaic (PV) system among various alternatives in renewable energy system is the most efficient and feasible solution for reducing energy consumption and electricity cost. However, relatively high initial cost make people reluctant to install PV system in their houses. Therefore, in the initial state for PV system installation in the house, it is very important to decide proper capacity of the PV system considering the expected energy usage and solar energy supplying condition with the house. This paper proposes a novel optimization model for deciding appropriate capacity of the PV system for residential house. The objective function of the model is to minimize the annual cost including electricity bill, operation and maintenance cost, and annual fixed cost calculated from the initial installation cost based on capital recovery factor (CRF). The model also shows the optimal inclining angle of PV panels of the system. In this paper, we estimate the PV output using PVWATTS (PV simulator of Office of Energy Efficiency and Renewable Energy) and find optimal solutions by Sequential Quadratic Programming (SQP) method using MATLAB software. The proposed approach is finally applied to a residential model house in Gangneung, Gangwon-Do and verified its feasibility for adopting to PV system design for residential houses.

An Economy Analysis on the Underground Food Storage (농수축산물저장을 위한 지하암반냉동창고의 경제성분석)

  • 김준홍
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.38
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    • pp.189-197
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    • 1996
  • It is in general reported that construction cost in an underground storage facility is less than that of the same capacity and features in an aboveground facility. Since these costs have a derivative with respect to facility size and fridging unit, the cost of construction and fridging unit are sensitive to location of storage, items to store, and rock quality of storage site. In this paper, to analyse an economic investment point for the underground food storage relative to aboveground storage, we compared these two models which have equivalent annual cost with the total cost that consists of initial facility investment cost and annual operation cost. Based on comparison of the economic investment in the underground with aboveground storage. an economic initial investment cost has been suggested for storing the agricultural and fish products.

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