Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6901475 | Procedia Computer Science | 2017 | 6 Pages |
Abstract
Risk management is an essential part of project management. Proactive management of risk in projects helps increase the success rate of projects and the reduction of potential costs. The paper presents a new tool for implementing the risk management process in projects. The tool allows participants to understand a project further, and to analyse risks in a project using various methods such as risk exposure and Monte Carlo method. From the results of the study, the tool helps in improving the understanding and implementation of risk management in projects. The tool implementation and results are discussed in this paper.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Zakari Tsiga, Michael Emes, Alan Smith,