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Volumn , Issue , 2014, Pages 49-56

Applying EVM and Es metrics to analyze and forecast schedule performance in the spanish context of the building sector

Author keywords

Building projects; Construction; Earned schedule; Earned value; Forecasting

Indexed keywords

BUDGET CONTROL; CONSTRUCTION; CONSTRUCTION INDUSTRY; FORECASTING; VALUE ENGINEERING;

EID: 84956520615     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-007-7790-3_7     Document Type: Chapter
Times cited : (2)

References (7)
  • 2
    • 33645957411 scopus 로고    scopus 로고
    • Earned value project management method and extensions
    • Anbari, F. (2003). Earned value project management method and extensions. Project Management Journal, 34(4), 12-23.
    • (2003) Project Management Journal , vol.34 , Issue.4 , pp. 12-23
    • Anbari, F.1
  • 3
    • 65249138825 scopus 로고    scopus 로고
    • Forecasting project schedule completion with earned value metrics
    • Jacob, D. S. (2003). Forecasting project schedule completion with earned value metrics. The Measurable News, (1), 7-9.
    • (2003) The Measurable News , vol.1 , pp. 7-9
    • Jacob, D.S.1
  • 5
    • 35448944883 scopus 로고    scopus 로고
    • A simulation and evaluation of earned value metrics to forecast the project duration
    • Vanhoucke, M., & Vandevoorde, S. (2007). A simulation and evaluation of earned value metrics to forecast the project duration. Journal of the Operational Research Society, 58, 1361-1374.
    • (2007) Journal of the Operational Research Society , vol.58 , pp. 1361-1374
    • Vanhoucke, M.1    Vandevoorde, S.2
  • 7
    • 0032628068 scopus 로고    scopus 로고
    • Forecasting construction durations for public housing projects: A hong kong perspective
    • Chan, D. W. M., & Kumaraswamy, M. M. (1999). Forecasting construction durations for public housing projects: A Hong Kong perspective. Building and Environment, 34, 633-646.
    • (1999) Building and Environment , vol.34 , pp. 633-646
    • Chan, D.1    Kumaraswamy, M.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.