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Design for the value of safety
KTH, School of Architecture and the Built Environment (ABE), Philosophy and History of Technology, Philosophy.
2015 (English)In: Handbook of Ethics, Values, and Technological Design: Sources, Theory, Values and Application Domains, Springer Netherlands, 2015, 491-511 p.Chapter in book (Other academic)Text
Abstract [en]

Two major methods for achieving safety in engineering design are compared: safety engineering and probabilistic risk analysis. Safety engineering employs simple design principles or rules of thumb such as inherent safety, multiple barriers, and numerical safety margins to reduce the risk of accidents. Probabilistic risk analysis combines the probabilities of individual events in event chains leading to accidents in order to identify design elements in need of improvement and often also to optimize the use of resources. It is proposed that the two methodologies should be seen as complementary rather than as competitors. Probabilistic risk analysis is at its advantage when meaningful probability estimates are available for most of the major events that may contribute to an accident. Safety engineering principles are more suitable to deal with uncertainties that defy quantification. In many design tasks, the combined use of both methodologies is preferable.

Place, publisher, year, edition, pages
Springer Netherlands, 2015. 491-511 p.
Keyword [en]
Design, Probabilistic risk analysis, Risk, Safety engineering, Safety factor, Uncertainty
National Category
Probability Theory and Statistics Information Systems, Social aspects
URN: urn:nbn:se:kth:diva-181246DOI: 10.1007/978-94-007-6970-0_19ScopusID: 2-s2.0-84943166094ISBN: 9789400769700OAI: diva2:901009

QC 20160205

Available from: 2016-02-05 Created: 2016-01-29 Last updated: 2016-02-05Bibliographically approved

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Hansson, Sven Ove
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Probability Theory and StatisticsInformation Systems, Social aspects

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