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Extended risk-analysis model for activities of the project
Janez Kušar1, Lidija Rihar, Urban Zargi
1Faculty of Mechanical Engineering, Aškerčeva 6, SI-1000 Ljubljana, Slovenia.
This study introduces an enhanced risk analysis model for product/service projects, incorporating event incidence alongside probability and consequences. This proactive approach enables timely risk mitigation for improved project management.
Area of Science:
- Engineering Management
- Risk Analysis
- Product Development
Background:
- Project management is a standard operational mode for many companies, particularly for recurring product/service orders.
- Effective risk management is crucial for the success of these projects, even when they are cyclical.
- Existing risk analysis models often focus on probability and consequences, potentially overlooking other critical factors.
Purpose of the Study:
- To present an extended risk-analysis model specifically designed for new product/service projects.
- To introduce a novel approach that enhances traditional risk assessment methods.
- To detail a solution developed at the Faculty of Mechanical Engineering in Ljubljana, Slovenia.
Main Methods:
- The proposed model extends traditional risk analysis by adding a third parameter: the estimated incidence of risk events.
- Risk analysis is based on evaluating the probability of risk events, their consequences, and their incidence.
- Status indicators are used to guide the project team in preparing preventive and corrective measures.
Main Results:
- The extended model provides a more comprehensive assessment of activity risk levels.
- The inclusion of event incidence offers a more nuanced understanding of potential project disruptions.
- The model facilitates the timely identification of risks and the activation of mitigation strategies.
Conclusions:
- The enhanced risk-analysis model improves proactive risk management in product/service projects.
- Timely warnings of potential risk events empower project managers and teams to implement necessary measures.
- This approach leads to more robust and resilient project execution, minimizing negative impacts.
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