Utilizing the ESReDA Cube to detect early warning signs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F20%3A39916536" target="_blank" >RIV/00216275:25310/20:39916536 - isvavai.cz</a>
Result on the web
<a href="https://publications.jrc.ec.europa.eu/repository/handle/JRC122252" target="_blank" >https://publications.jrc.ec.europa.eu/repository/handle/JRC122252</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Utilizing the ESReDA Cube to detect early warning signs
Original language description
The ESReDA Cube model was developed by the ESReDA Project Group on Dynamic Learning and published in 2015. In this chapter we propose that the Cube model may be utilized to identify early warning signs of the system functioning, and solutions to improve the safety performance of the system in which the failures occur. The purpose of this chapter is not to have foresight results, but to show how the Cube can be utilized to identify foresight potential. Applying the Cube makes it possible to explore links between otherwise isolated solutions, causal aspects and contributing factors.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20402 - Chemical process engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Enhancing Safety : the Challenge of Foresight
ISBN
978-92-76-25188-0
Number of pages of the result
10
Pages from-to
135-144
Number of pages of the book
252
Publisher name
Publications Office of the European Union
Place of publication
Lucemburk
UT code for WoS chapter
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