BibTex RIS Kaynak Göster

PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT

Yıl 2011, Cilt: 3 Sayı: 1, 11 - 20, 01.06.2011

Öz

Earned Value Management is one of the best known approaches to project
progress control and reporting. It uses information on cost, schedule and work
performance to establish the current status of the project. By means of a few rates
it allows the manager to extrapolate current trends on the project outcome.
However, the method bases on a much simplified model of the project, the input is
reported to be laborious to collect, and the results may be misleading. The paper
outlines the basic principles of the method and discusses its recent modifications
aimed at improving reliability in describing project status, expanding predictive
ability, and allowing for risk control.

Kaynakça

  • AS (2006) Australian Standard 4817-2006: Project performance measurement using Earned Value.
  • ANSI (1998) American National Standards Institute standard on Earned Value
  • Management System Guidelines, ANSI/EIA-748-A-1998 (R2002).
  • Cheng, Min-Yuan, Hsien-Sheng Peng, Yu-Wei Wu and Te-Lin Chen (2010),
  • “Estimate at completion for construction projects using Evolutionary Support Vector machine Inference Model”, Automation in Construction, 19, pp.619-629. Christensen, David (1994), “Using performance indices to evaluate the estimate at completion”, Journal of Cost Analysis and Management, (Spring), pp.17-24.
  • Christensen, David and Carl Templin (2002), “EAC evaluation methods: do they still work?”, Acquisition Review Quarterly, 9, pp. 105-116
  • Czarnigowska, Agata (2008), “Earned Value as a tool for project control”.
  • Budownictwo i Architektura, Vol.3, No 2, pp.15-32. Davis, Alex and Mick Higgins (2010),“Earned Schedule – an emerging Earned
  • Value technique,” UK APM EVM SIG, http://www.apm.org.uk/sites/default/files/ %20EVM%20WP%200110.pdf, [Accessed 20.03.2011]
  • DOD (1997) Earned Value Management Implementation Guide. Washington:
  • United States of America Department of Defense. DOE (2008) Earned Value Management System (EVMS), G 413.3-105-6-08 U.S.
  • Department of Energy, Washington D.C. 20585 http://www.science.doe.gov/opa/
  • PDF/g4133-10%20EVMS.pdf, [Accessed 20.03.2011]
  • Iranmanesh, Seyed Hossein and Mansoureh Zarezadeh (2008), “Application of
  • Artificial Neural network to Forecast Actual cost of Project to Improve Earned Value management System”, Proceedings of the World Academy of Science, Engineering and Technology, Vol. 32, pp. 240-243. Lipke, Walt, Ofer Zwikael, Kym Henderson and Frank Anbari (2009), “Prediction of project outcome. The application of statistical methods to earned value management and earned schedule performance indexes”, International Journal of
  • Project Management, 27, pp.400-407. Lipke, Walt (2003), ES Calculator V1 Copyright 2003 Lipke.xls, http://www.earnedschedule.com/Calculator.shtml, [Accessed 20.03.2011].
  • Lipke, Walt (2002), “Statistical Process Control of Project performance”. Cross
  • Talk The Journal of Defense Software Engineering, 3, pp.15-18
  • Martyniak, Zbigniew (2002), Historia mysli organizatorskiej. Wybitni autorzy z zakresu organizacji i zarzadzania w pierwszej połowie XX w., Krakow: Akademia Ekonomiczna.
  • Pajares, Javier and Adolfo Lopez-Paredes (2010), “An extension of the EVM analysis for project monitoring: The Cost Control Index and the Schedule Control
  • Index”. International Journal of Project Management, article in press, doi.10.1016/j.ijproman.2010.04.05.
  • Rujirayanyong, Thammasak (2009), “A Comparison of Three Completion date
  • Predicting Methods for Construction Projects”, Journal of Research in Engineering and Technology, Vol. 6, No. 4, pp.305-318
  • Vanhoucke, Mario and Stephan Vandevoorde (2008), “Earned Value Forecast
  • Accuracy and Activity Criticality”. Measurable News, 3, pp.13-16.

Yıl 2011, Cilt: 3 Sayı: 1, 11 - 20, 01.06.2011

Öz

Kaynakça

  • AS (2006) Australian Standard 4817-2006: Project performance measurement using Earned Value.
  • ANSI (1998) American National Standards Institute standard on Earned Value
  • Management System Guidelines, ANSI/EIA-748-A-1998 (R2002).
  • Cheng, Min-Yuan, Hsien-Sheng Peng, Yu-Wei Wu and Te-Lin Chen (2010),
  • “Estimate at completion for construction projects using Evolutionary Support Vector machine Inference Model”, Automation in Construction, 19, pp.619-629. Christensen, David (1994), “Using performance indices to evaluate the estimate at completion”, Journal of Cost Analysis and Management, (Spring), pp.17-24.
  • Christensen, David and Carl Templin (2002), “EAC evaluation methods: do they still work?”, Acquisition Review Quarterly, 9, pp. 105-116
  • Czarnigowska, Agata (2008), “Earned Value as a tool for project control”.
  • Budownictwo i Architektura, Vol.3, No 2, pp.15-32. Davis, Alex and Mick Higgins (2010),“Earned Schedule – an emerging Earned
  • Value technique,” UK APM EVM SIG, http://www.apm.org.uk/sites/default/files/ %20EVM%20WP%200110.pdf, [Accessed 20.03.2011]
  • DOD (1997) Earned Value Management Implementation Guide. Washington:
  • United States of America Department of Defense. DOE (2008) Earned Value Management System (EVMS), G 413.3-105-6-08 U.S.
  • Department of Energy, Washington D.C. 20585 http://www.science.doe.gov/opa/
  • PDF/g4133-10%20EVMS.pdf, [Accessed 20.03.2011]
  • Iranmanesh, Seyed Hossein and Mansoureh Zarezadeh (2008), “Application of
  • Artificial Neural network to Forecast Actual cost of Project to Improve Earned Value management System”, Proceedings of the World Academy of Science, Engineering and Technology, Vol. 32, pp. 240-243. Lipke, Walt, Ofer Zwikael, Kym Henderson and Frank Anbari (2009), “Prediction of project outcome. The application of statistical methods to earned value management and earned schedule performance indexes”, International Journal of
  • Project Management, 27, pp.400-407. Lipke, Walt (2003), ES Calculator V1 Copyright 2003 Lipke.xls, http://www.earnedschedule.com/Calculator.shtml, [Accessed 20.03.2011].
  • Lipke, Walt (2002), “Statistical Process Control of Project performance”. Cross
  • Talk The Journal of Defense Software Engineering, 3, pp.15-18
  • Martyniak, Zbigniew (2002), Historia mysli organizatorskiej. Wybitni autorzy z zakresu organizacji i zarzadzania w pierwszej połowie XX w., Krakow: Akademia Ekonomiczna.
  • Pajares, Javier and Adolfo Lopez-Paredes (2010), “An extension of the EVM analysis for project monitoring: The Cost Control Index and the Schedule Control
  • Index”. International Journal of Project Management, article in press, doi.10.1016/j.ijproman.2010.04.05.
  • Rujirayanyong, Thammasak (2009), “A Comparison of Three Completion date
  • Predicting Methods for Construction Projects”, Journal of Research in Engineering and Technology, Vol. 6, No. 4, pp.305-318
  • Vanhoucke, Mario and Stephan Vandevoorde (2008), “Earned Value Forecast
  • Accuracy and Activity Criticality”. Measurable News, 3, pp.13-16.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA85UV24FM
Yazarlar

Agata Czarnigowska Bu kişi benim

Piotr Jaskowski Bu kişi benim

Slawomir Biruk Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2011
Yayımlandığı Sayı Yıl 2011 Cilt: 3 Sayı: 1

Kaynak Göster

APA Czarnigowska, A., Jaskowski, P., & Biruk, S. (2011). PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT. International Journal of Business and Management Studies, 3(1), 11-20.
AMA Czarnigowska A, Jaskowski P, Biruk S. PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT. IJBMS. Haziran 2011;3(1):11-20.
Chicago Czarnigowska, Agata, Piotr Jaskowski, ve Slawomir Biruk. “PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT”. International Journal of Business and Management Studies 3, sy. 1 (Haziran 2011): 11-20.
EndNote Czarnigowska A, Jaskowski P, Biruk S (01 Haziran 2011) PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT. International Journal of Business and Management Studies 3 1 11–20.
IEEE A. Czarnigowska, P. Jaskowski, ve S. Biruk, “PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT”, IJBMS, c. 3, sy. 1, ss. 11–20, 2011.
ISNAD Czarnigowska, Agata vd. “PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT”. International Journal of Business and Management Studies 3/1 (Haziran2011), 11-20.
JAMA Czarnigowska A, Jaskowski P, Biruk S. PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT. IJBMS. 2011;3:11–20.
MLA Czarnigowska, Agata vd. “PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT”. International Journal of Business and Management Studies, c. 3, sy. 1, 2011, ss. 11-20.
Vancouver Czarnigowska A, Jaskowski P, Biruk S. PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT. IJBMS. 2011;3(1):11-20.