Project regularity: Development and evaluation of a new project characteristic

Journal of Systems Science and Systems Engineering

Volumn 26, Issue 1, 2017, Pages 100-120

  Batselier, Jordy ^a   Vanhoucke, Mario ^a,b,c  

^a GHENT UNIVERSITY   (Belgium)

^b VLERICK BUSINESS SCHOOL   (Belgium)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

earned value management; empirical database; Monte Carlo simulation; project control system; Project management; time and cost forecasting

Indexed keywords

BUDGET CONTROL; COSTS; FORECASTING; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; VALUE ENGINEERING;

COST FORECASTING; EARNED VALUE MANAGEMENT; FORECASTING ACCURACY; MANAGEMENT SYSTEMS; PROJECT CHARACTERISTICS; PROJECT CONTROL SYSTEMS; PROJECT MANAGERS; PROJECT NETWORKS;

PROJECT MANAGEMENT;

EID: 84966429093     PISSN: 10043756     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11518-016-5312-6     Document Type: Article

References (36)

1. Agrawal, M., Elmaghraby, S. & Herroelen, W. (1996). DAGEN: a generator of testsets for project activity nets. European Journal of Operational Research, 90: 376–382.
2. Anbari, F. (2003). Earned value project management method and extensions. Project Management Journal, 34: 12–23.
3. Batselier, J. & Vanhoucke, M. (2015a). Construction and evaluation framework for a real-life project database. International Journal of Project Management, 33: 697–710.
4. Batselier, J. & Vanhoucke, M. (2015b). Empirical evaluation of earned value management forecasting accuracy for time and cost. Journal of Construction Engineering and Management, 141: 05015010.
5. Christensen, D. (1998). The costs and benefits of the earned value management process. Acquisition Review Quarterly, Fall: 373–386.
6. Cioffi, D. (2005). A tool for managing projects: an analytic parameterization of the S-curve. International Journal of Project Management, 23: 215–222.
7. Cioffi, D. (2006). Completing projects according to plans: an earned-value improvement index. Journal of the Operational Research Society, 57: 290–295.
8. Demeulemeester, E., Vanhoucke, M. & Herroelen, W. (2003). RanGen: a random network generator for activity-on-the-node networks. Journal of Scheduling, 6: 17–38.
9. Egnot, J. (2011). Earned progress management-a unified theory of earned value & earned schedule concepts. The Measurable News, Issue 4: 8–24.
10. Elshaer, R. (2012). Impact of sensitivity information on the prediction of project’s duration using earned schedule method. International Journal of Project Management, 31: 579–588.
11. Fleming, Q. & Koppelman, J. (2010). Earned Value Project Management (4th ed). Project Management Institute, Newtown Square, Pennsylvania.
12. Hall, N. (2012). Project management: recent developments and research opportunities. Journal of Systems Science and Systems Engineering, 21: 129–143.
13. Henderson, K. (2007). Earned schedule: a breakthrough extension to earned value management. In: PMI Asia Pacific Global Congress Proceedings, Hong Kong.
14. Jacob, D. & Kane, M. (2004). Forecasting schedule completion using earned value metrics revisited. The Measurable News, Summer: 1, 11–17.
15. Kao, E. & Queyranne, M. (1982). On dynamic programming methods for assembly line balancing. Operations Research, 30: 375–390.
16. Kim, E., Wells, W. & Duffey, M. (2003). A model for effective implementation of earned value management methodology. International Journal of Project Management, 21: 375–382.
17. Kolisch, R., Sprecher, A. & Drexl, A. (1995). Characterization and generation of a general class of resource-constrained project scheduling problems. Management Science, 41: 1693–1703.
18. Lipke, W. (2003). Schedule is different. The Measurable News, Summer: 31–34.
19. Marshall, R. (2007). The contribution of earned value management to project success on contracted efforts. Journal of Contract Management, Summer: 21–33.
20. Mastor, A. (1970). An experimental and comparative evaluation of production line balancing techniques. Management Science, 16: 728–746.
21. Meredith, J. & Mantel, S. (2003). Project Management: A Managerial Approach (5th ed.). Wiley, New York.
22. PMI (2008). A Guide to the Project Management Body of Knowledge (PMBOK Guide) (3rd ed). Project Management Institute, Newtown Square, Pennsylvania.
23. Rujirayanyong, T. (2009). A comparison of three completion date predicting methods for construction projects. Journal of Research in Engineering and Technology, 6: 305–318.
24. Schwindt, C. (1995). A new problem generator for different resource-constrained project scheduling problems with minimal and maximal time lags. WIOR-Report-449. Institut für Wirtschaftstheorie und Operations Research, University of Karlsruhe.
25. Tavares, L. (1999). Advanced Models for Project Management. Kluwer Academic Publishers, Dordrecht.
26. Tavares, L., Ferreira, J. & Coelho, J. (1999). The risk of delay of a project in terms of the morphology of its network. European Journal of Operational Research, 119: 510–537.
27. Van De Velde, R. (2007). Time is up: assessing schedule performance with earned value. PM World Today, 9: 1–10.
28. Vandevoorde, S. & Vanhoucke, M. (2006). A comparison of different project duration forecasting methods using earned value metrics. International Journal of Project Management, 24: 289–302.
29. Vanhoucke, M. (2010a). Measuring time-improving project performance using earned value management. Volume 136 of International Series in Operations Research and Management Science. Springer.
30. Vanhoucke, M. (2010b). Using activity sensitivity and network topology information to monitor project time performance. Omega-The International Journal of Management Science, 38: 359–370.
31. Vanhoucke, M. (2011). On the dynamic use of project performance and schedule risk information during project tracking. Omega-The International Journal of Management Science, 39: 416–426.
32. Vanhoucke, M. (2012a). Measuring the efficiency of project control using fictitious and empirical project data. International Journal of Project Management, 30: 252–263.
33. Vanhoucke, M. (2012b). Project Management with Dynamic Scheduling: Baseline Scheduling, Risk Analysis and Project Control. Volume XVIII. Springer.
34. Vanhoucke, M. (2014). Integrated project management and control: first comes the theory, then the practice. Management for Professionals, Springer.
35. Vanhoucke, M., Coelho, J., Debels, D., Maenhout, B. & Tavares, L. (2008). An evaluation of the adequacy of project network generators with systematically sampled networks. European Journal of Operational Research, 187: 511–524.
36. 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.