Abstract
In addition to more conventional but often less precise methods, the risk assessment as part of the risk management process can be performed with the bow-tie analysis method. A bow-tie analysis describes the effects of causes on a top event and the resulting consequences. Bayesian networks, on the other hand, offer a mathematically concise way of describing dependencies between events under uncertainty. The mapping of bow-tie analysis into Bayesian networks is intended to make their superior calculation options available. While the mapping algorithm of a bow-tie method into a Bayesian network is described in the literature, no computer program carrying out this mapping has been found so far. In this text, a Python library, that is validated using published examples, is presented and made publicly available for mapping bow-tie methods into Bayesian networks.
Original language | English |
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Pages (from-to) | 344-351 |
Number of pages | 8 |
Journal | Procedia Computer Science |
Volume | 180 |
Issue number | 180 |
DOIs | |
Publication status | Published - 2021 |
Event | International Conference on Industry 4.0 and Smart Manufacturing - online, Austria Duration: 23 Nov 2020 → 25 Nov 2020 Conference number: 2 |
Keywords
- Bayesian network
- bow-tie analysis
- risk analysis
- risk assessment