ISO 9001 requires a risk-based decision-making approach in quality management. However, current risk analyses often lack objectivity and risk assessments are insufficiently standardized. In order to distribute resources appropriately among a large number of projects, it is necessary to consider risk costs.
The aim of the research project "PRiMa-Q" is a data-based risk quantification for project management. For an optimized project planning a cost-benefit analysis of action measures is necessary. The influence of these actions on the project progress is predicted by means of virtual scenario analyses. The implementation takes place in an open source software.
The web-based software tool was validated at a mechanical engineering company. The associated risk quantification framework consists of three parts: Risk quantification, cost-benefit action recommendation and scheduling optimizer. A database contains project and risk management data. The project results improve project risk management competence by providing immediate insight into and processing the data.