Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
482796 | European Journal of Operational Research | 2008 | 16 Pages |
Abstract
This paper introduces a risk-based optimization method to schedule projects. The method uses risk mitigation and optimal control techniques to minimize variables such as the project duration or the cost estimate at completion. Mitigation actions reduce the risk impacts that may affect the system. A model predictive control approach is used to determine the set of mitigation actions to be executed and the time in which they are taken. A real-life project in the field of semiconductor manufacturing has been taken as an example to show the benefits of the method in a deterministic case and a Monte Carlo simulation has also been carried out.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
AscensiĆ³n Zafra-Cabeza, Miguel A. Ridao, Eduardo F. Camacho,