Abstract
Evaluation of project completion time under uncertainty conditions is a known problem in project management (PM). Project evaluation and review technique (classical PERT) is the most known tool for project time analysis for project managers. While its deficiencies have been investigated long ago, it is taught in almost all PM courses, given in books, and is implemented in PM software. In the paper, we consider the effect of merge event bias (MEB) on the accuracy of analytical models of project analysis. MEB has a decisive effect on inaccuracy of the classical PERT and many of its extensions realized in underestimation of project time. We suggest ways how MEB can be included in analytical methods and define directions for future development. The work is directed in situations of high uncertainty in estimation of task durations.
| Original language | English |
|---|---|
| Title of host publication | 61th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS) |
| Number of pages | 6 |
| Publication status | Published - 2020 |
Fields of science
- 303026 Public health
- 305909 Stress research
- 102 Computer Sciences
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102016 IT security
- 502007 E-commerce
- 502014 Innovation research
- 502030 Project management
- 501016 Educational psychology
- 602036 Neurolinguistics
- 501030 Cognitive science
- 502032 Quality management
- 502043 Business consultancy
- 502044 Business management
- 502050 Business informatics
- 503008 E-learning
- 509004 Evaluation research
- 301407 Neurophysiology
- 301401 Brain research
JKU Focus areas
- Digital Transformation