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http://dx.doi.org/10.6106/KJCEM.2011.12.1.62

A Development of Project Performance Predicting System(PPS) considering Construction Project Characteristics  

Ko, Young-Jin (아주대학교 대학원 건축공학과)
Cha, Hee-Sung (아주대학교 건축학부)
Publication Information
Korean Journal of Construction Engineering and Management / v.12, no.1, 2011 , pp. 62-72 More about this Journal
Abstract
Currently, The failure of construction project is increasing to be caused by a changing construction environment. According to this circumstances, Researches of project success factors affecting performance have been presented to develop strategies for efficient construction project management in the construction industry. However, Conducting efficient construction project management is difficult because project manager could not know which project success factors can be improved or not. Especially, although the project characteristics were derived the level of difficulty for performance, research of the project characteristics which could not be improved as influence factor to performance is lacking. Therefore, This paper has developed the Performance Predicting System(PPS) with Fuzzy set theory to establish. PPS has been developed to establish efficient project management strategies and to save time and effort. As Contractor inputs the project characteristics, PPS can predict the level of difficulty of performance.
Keywords
Project performance measurement; Performance predicting system; Project characteristics; Fuzzy set theory;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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1 유일한, 김경래, 정영수, 진상윤(2005)," 건설산업 성과지수 개발을 위한 핵심성과지표-건설기업 대상 KPI를 중심으로", 대한건축학회논문집, Vol.21 (2), pp.139-150.
2 신규철 (2002), "균형성과지표(BSC) 개념의 건설기업 성과평가 모델 개발에 관한 연구", 한국건설관리학회 제3회 학술발표대회논문집, pp.27-34.
3 Albert P.C. Chan 외(2004)," Factors Affecting the Success of a Construction Project", Journal of Construction Engineering and Management, January/February 2004, pp.153-155.
4 이동운, 김경활(2004)," 퍼지 R.P.R(Relative Preference Ratio) 기법을 이용한 건설프로젝트의 공법선정에 관한 연구", 한국건설관리학회 논문집, v.5 n.5, pp. 143-151
5 Maged E. Georgy 외 (2005), "Quantifying Impacts of Construction Project Characteristics on Engineering Performance : A Fuzzy Neural Network Approach", Computing in Civil Engineering.
6 Cesar Augusto Poveda 외(2009)," Predicting and Evaluating Construction Trades Foremen Performance: Fuzzy Logic Approach", Journal of Construction Engineering and Management, September 2009, Volume 135, Issue 9, pp. 920-929   DOI   ScienceOn
7 Du Y. Kim (2008), "Discriminant Analysis for Predicting Ranges of Cost", Journal of Construction Engineering and Management, June 2008, pp.398-410.
8 박문서 외(2009)," BSC를 활용한Data Warehouse 기반의 건설 프로젝트 성과관리", 한국건설관리학회 논문집 v.10 n.2, pp.14-26
9 James E. Diekmann (1995), "Are contract disputes predictable?", Journal of Construction Engineering and Management, December 1995, pp.355-363.
10 D. K. H. Chua (2006), "CB-Contract: Case-Based Reasoning Approach to Construction Contract Strategy Formulation", Journal of Computing in civil Engineering, Seprember/October 2006, pp.339-350.
11 차희성 외(2008), "초기단계 프로젝트 특성을 고려한 리스크 평가 및 예측 툴 개발", 한국건설관리학회 논문집, v. 9, n. 5, pp. 168-175.
12 차희성 외(2008), "건설프로젝트 효율적 성과관리를 위한 핵심지표 체계 구축", 한국건설관리학회 논문집 v.9, n.4, pp. 120-130.
13 정규진 외(2009), "$2{\times}2$ 생물학적 동등성 시험에서 이상치 검출을 위한 통계적 방법", 한국통계학회논문집 16권 5호, pp.745-751.
14 유일한, 김경래, 정영수, 진상윤, 김예상(2004), "건설산업의 비교가능한 성과측정 모델 framework", 한국건설관리학회 논문집, Vol.5 (5), pp.172-182.
15 Sung Ho Park (2009), " Whole Life Performance Assessment_ Critical Success Factors", Journal of Construction Engineering and Management, May 2009.
16 신용일, 김한수 (2004), "건설사업 성과측정기법 비교분석 및 성과측정 Best Practice에 관한 연구", 대한건축학회논문집 20(3), pp.109-116.
17 유일한, 김경래, 정영수, 진상윤(2006), "건설산업의 성과 및 정보화수준 평가를 위한 웹기반 시스템", 한국건설관리학회 학술발표대회 논문집, pp.92-98
18 유정호 외(2005)," 데이터 웨어하우스 기술을 활용한 건설프로젝트 성과분석 시스템 개발", 한국건설관리학회 논문집, v.6 n.1, pp.89-99
19 이광형, 오길록(2005), " 퍼지이론 및 응용", 홍릉과학출판사