연구동향 분석
박사

A Life Cycle Cost Hybrid Estimation Model in Early Stage of Public-office Construction = 공공청사 사업초기단계 생애주기비용 하이브리드 예측 모델

김정훈 2020년

논문상세정보
인용/피인용
' A Life Cycle Cost Hybrid Estimation Model in Early Stage of Public-office Construction = 공공청사 사업초기단계 생애주기비용 하이브리드 예측 모델' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Case-Based Reasoning
  • Cost Estimation
  • Early Stage of the Project
  • Hybrid Estimation Model
  • Life Cycle Cost
  • Monte Carlo Simulation
  • Regression Analysis
  • genetic-algorithm
  • uncertainty
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,126 0

0.0%

' A Life Cycle Cost Hybrid Estimation Model in Early Stage of Public-office Construction = 공공청사 사업초기단계 생애주기비용 하이브리드 예측 모델' 의 참고문헌

  • Whole building life cycle environmental impacts and costs : A sensitivity study of design and service decisions.
    163 , 106316 [2019]
  • Web-based conceptual cost estimates for construction projects using Evolutionary Fuzzy Neural Inference Model.
    18 ( 2 ) , 164–172 [2009]
  • Web-based CBR system applied to early cost budgeting for pavement maintenance project. ” Expert Systems with Applications
    36 ( 2 ) , 2947–2960 [2009]
  • Variability of optimal solutions for building components based on comprehensive life cycle cost analysis.
    79 , 223–231 [2014]
  • Using Decision Trees for Determining Attribute Weights in a Case-Based Model of Early Cost Prediction.
    134 ( 2 ) , 146–152 . [2008]
  • Uncertainty in Task Duration and Cost Estimates : Fusion of Probabilistic Forecasts and Deterministic Scheduling.
    139 ( 5 ) , 488–497 [2013]
  • The validity of the triangular distribution assumption in Monte Carlo simulation of construction costs : empirical evidence from Hong Kong.
    13 ( 1 ) , 15–21 [1995]
  • The validity of the triangular distribution assumption in Monte Carlo simulation of construction costs : Empirical evidence from Hong Kong.
    13 ( 1 ) , 15–21
  • The impact of applying effort to reduce activity variability on the project time and cost performance.
    277 ( 2 ) , 442–453 [2019]
  • The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach. ” Expert Systems with Applications
    38 ( 7 ) , 8597–8606 . [2011]
  • The Three Sigma Rule.
    48 ( 2 ) , 88–91 . [1994]
  • The Importance of the Early Phase : theCase ofConstruction and Building Projects ''
    22 ( 7 ) , 545–551 [2004]
  • Stochastic Hybrid Cost Prediction Model of Construction Project in Early Stage
  • Simulation-based estimation forCorrelatedCost elements.
    23 ( 4 ) , 275–282 . [2005]
  • Research on Life-CycleCost of Bridge Based on the Method of MonteCarlo Simulation.
    [2018]
  • Range estimation ofConstructionCosts using neural networks with bootstrap prediction intervals. ” Expert Systems with Applications
    38 ( 8 ) , 9913–9917 [2011]
  • Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure.
    10 ( 4 ) , 346–354 [2006]
  • Probabilistic simulation for developing likelihood distribution of engineering projectCost.
    18 ( 5 ) , 570–577 [2009]
  • Probabilistic Forecasting of Project Duration Using Kalman Filter and the Earned Value Method.
    136 ( 8 ) , 834–843 [2010]
  • Probabilistic Forecasting of Project Duration Using Bayesian Inference and the Beta Distribution.
    135 ( 3 ) , 178–186 . [2009]
  • Probabilistic Earlier GMPCalculation Method for Apartment UsingCM at Risk.
    18 ( 3 ) [2018]
  • PredictingCost deviation in reconstruction projects : artificial neural networks versus regression
    129 ( 4 ) , 405–411 . [2003]
  • PredictingConstructionCost Using Multiple Regression Techniques.
    132 ( 7 ) , 750–758 . [2006]
  • Portfolio Strategy for Building and Infrastructure Asset Management.
    60 ( 11 ) , 36–38 . [2016]
  • Planning-stage estimation of highway project duration on the basis of anticipated projectCost , project type , andContract type.
    29 ( 1 ) , 78–92 [2011]
  • Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. ” Pattern Recognition
    48 ( 9 ) , 2839–2846 . [2015]
  • New Approach to Estimating the Standard Deviations of Lognormal Cost Variables in the Monte Carlo Analysis of Construction Risks.
    143 ( 1 ) , 06016006 . [2017]
  • Monte Carlo simulation of construction costs using subjective data.
    13 ( 5 ) , 369–383
  • Modelling Construction Site Cost Index Based on Neural Network Ensembles.
    11 ( 3 ) , 411 [2019]
  • Model for Collecting Replacement Cycles of Building Components : Hybrid Approach of Indirect and Direct Estimations.
    32 ( 6 ) , 04018051 [2018]
  • Minimizing Fluctuation of the Maintenance , Repair , and Rehabilitation Cost Profile of a Building.
    30 ( 3 ) , 04015034 [2016]
  • Managing project uncertainty : From Variation to Chaos.
    43 ( 2 ) , 60–67 . [2002]
  • MRA Revision Model based on CBR for Cost Prediction in Early Stage
    [2010]
  • Life-cycle costing and its use in the Swedish building sector.
    28 ( 5–6 ) , 387–393 [2000]
  • Life cycle costing for facilities
    [2003]
  • Life cycle assessment and life cycle cost implication of residential buildings—A review.
    42 , 129–140 . [2015]
  • Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings.
    250 , 1366–1382 [2019]
  • Improving Accuracy of Early Stage Cost Estimation by Revising Categorical Variables in a Case-Based Reasoning Model.
    140 ( 7 ) , 04014025 [2014]
  • Identification and Reduction of Synchronous Replacements in Life-Cycle Cost Analysis of Equipment.
    35 ( 1 ) , 04018058 . [2019]
  • Green buildings life cycle cost analysis and life cycle budget development : Practical applications.
    18 , 303–311 [2018]
  • Genetic algorithms in search , optimization , and machine learning
    [1989]
  • Fuzzy-Based Life-Cycle Cost Model for Decision Making under Subjectivity.
    139 ( 5 ) , 556–563 . [2013]
  • Exploiting Opportunities in Uncertainty During the Early Project Phase.
    20 ( 4 ) , 134–140 . [2004]
  • Development of the Construction Cost Prediction Model Based on Case-Based Reasoning in the Planning Phase of Mega-Project.
    25 ( 9 ) , 181–190 [2009]
  • Development of a model for risk and cost analysis in overseas plant construction projects focusing on petrochemical plant construction projects.
    21 ( 5 ) , 1549–1562 [2017]
  • Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction.
    11 ( 14 ) , 3828 . [2019]
  • Development of Innovative Construction Cost Engineering System for Public Construction Projects in Korea
    [2011]
  • Development of Cash Flow Forecasting Model in the Early Stage of Construction
  • Developing a ConstructionDuration Model Based on a Historical Dataset for Building Project.
    17 ( 4 ) , 529–539 [2011]
  • Determining Attribute Weights in a CBR Model for Early Cost Prediction of Structural Systems.
    132 ( 10 ) , 1092–1098 [2006]
  • Design and Build Project Success Factors : Multivariate Analysis.
    127 ( 2 ) , 93–100 . [2001]
  • Cost simulation in an item-based project involving construction engineering and management.
    29 ( 6 ) , 706–717 [2011]
  • Cost estimation model for building projects using case-based reasoning.
    38 ( 5 ) , 570–581 . [2011]
  • Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning ( CBR ) Method.
    10 ( 5 ) , 1608 [2018]
  • Construction Cost and Duration Uncertainty Model : Application to High-Speed Rail Line Project.
    142 ( 10 ) , 05016010 . [2016]
  • Conceptual cost estimation of building projects with regression analysis and neural networks.
    31 ( 4 ) , 677–683 [2004]
  • Conceptual Estimation of Construction Costs Using the Multistep Ahead Approach.
    142 ( 9 ) , 04016038 . [2016]
  • Comparison of the Accuracy between Cost Prediction Models based on Neural Network and Genetic Algorithm.
    22 ( 3 ) , 111– 118 [2006]
  • Comparison of construction cost estimating models based on regression analysis , neural networks , and case-based reasoning
    39 ( 10 ) , 1235–1242 [2004]
  • Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry.
    41 ( 1 ) , 65–73 [2014]
  • Case-Based Reasoning in Construction Management. Computer-Aided Civil and Infrastructure Engineering
    13 ( 2 ) , 143–150 [1998]
  • Case-Based Reasoning : Foundational Issues , Methodological Variations , and System Approaches.
    7 ( 1 ) , 39–59 . [1994]
  • CBR Revision Model for Improving Cost Prediction Accuracy in Multifamily Housing Projects.
    26 ( 4 ) , 229–236 . [2010]
  • Building maintenance management
    [2007]
  • Application of the principles of ILS to the development of cost effective maintenance strategies for existing building stock.
    21 ( 3 ) , 283–296 [2003]
  • Analysis of Factors Affecting Hit-and-Run and Non-Hit-and-Run in Vehicle-Bicycle Crashes : A Non-Parametric Approach Incorporating Data Imbalance Treatment.
    11 ( 5 ) , 1327 . [2019]
  • An Uncertainty Analysis of Calculating Life Cycle Maintenance and Energy Costs for Technical Proposals.
    19 ( 5 ) , 3–9 . [2018]
  • Adaptation in Natural and Aritificial Systems
    [1975]
  • A stochastic model for the cell formation problem considering machine reliability.
    11 ( 3 ) , 375– 389 [2015]
  • A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings.
    77 , 227–235 [2014]
  • A case-based reasoning cost estimating model using experience by analytic hierarchy process.
    42 ( 7 ) , 2573–2579 [2007]
  • A Study on the Expected Life Cycle Cost of Earthquake Damaged Bulidings .
    [2001]
  • A Study on the Developing of Life Cycle Cost Analysis System based on Web
    [2014]
  • A Study on the Actual Condition of Facility Safety and Maintenance
    [2014]
  • A Study on Construction Cost Estimation Model According to the Spatial Planning of Educatianal Facilities using Regression Analysis - For the BTL Project in the Gyeonggido Region.
    27 ( 10 ) , 103–110 [2011]
  • A Probabilistic Approach for Drilling Cost Engineering and Management. SPE/IADC Middle East Drilling and Technology Conference
    [2007]
  • A Neural Network Cost Model for Office Buildings.
    16 ( 9 ) , 59–66 [2000]
  • A Hybrid MCDM Technique for Risk Management in Construction Projects.
    10 ( 2 ) , 46 [2018]
  • A CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects.
    37 ( 5 ) , 739–752 [2010]