DocumentCode
2121398
Title
Adaptive Project Risk Management
Author
Deleris, Léa A. ; Katircioglu, Kaan ; Kapoor, Shubir ; Lam, Richard ; Bagchi, Sugato
Author_Institution
Department of Mathematics, IBM Research, Yorktown Heights, NY 10598. phone: 914 945 1798, e-mail: lea.deleris@us.ibm.com
fYear
2007
fDate
27-29 Aug. 2007
Firstpage
1
Lastpage
6
Abstract
IT projects tend to be associated with over-budget and late deliveries. In this paper, we describe a method for improving project management based on (a) a thorough analysis of risks affecting activities in a project plan, i.e., the root factors leading to cost and time overruns, and (b) an optimization of the resources allocated to each activity in the project plan in order to maximize the probability of completing on time and within-budget. One key feature of our method is its capability to adapt and learn the risk factors affecting activities during the course of the project, which enables project managers to dynamically reallocate resources to ensure a better outcome given the updated risk profile.
Keywords
Analytical models; Bayesian methods; Costs; Delay; Mathematics; Project management; Resource management; Risk analysis; Risk management; Uncertainty; Project management; Resource management; Risk analysis; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on
Conference_Location
Philadelphia, PA, USA
Print_ISBN
978-1-4244-1118-4
Electronic_ISBN
978-1-4244-1118-4
Type
conf
DOI
10.1109/SOLI.2007.4383874
Filename
4383874
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