Work

Decision-theoretic reliability sensitivity

Type: article

Abstract: We propose and discuss sensitivity metrics for reliability analysis, which are based on the value of information. These metrics are easier to interpret than other existing sensitivity metrics in the context of a specific decision and they are applicable to any type of reliability assessment, including those with dependent inputs. We develop computational strategies that enable efficient evaluation of these metrics, in some scenarios without additional runs of the deterministic model. The metrics are investigated by application to numerical examples.

Source: mediaTUM (Technical University of Munich)

DOI: 10.1016/j.ress.2021.108215

Author: Straub D., Ehre M., Papaioannou I.

Institution: Technical University of Munich

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Awards: G5135195947, G8725708017

OpenAlex ID: W4205208995

Cites: 55

Cited by: 25

Related to: 10