We present a novel approach for tracking a global risk index of a safety-critical industrial plant. This approach, called Integrated Risk Index by Sapio (IRIS), considers safety as a critical process variable and relies on a combination of techniques such as Bayesian Networks, Multi Attribute Value Theory, Cognitive Reliability and Error Analysis Method. The approach is described through a case study of the cryogenic gas production industry.

IRIS: A novel approach to monitoring risk in safety critical plants

Compare M.;Zio E.
2020-01-01

Abstract

We present a novel approach for tracking a global risk index of a safety-critical industrial plant. This approach, called Integrated Risk Index by Sapio (IRIS), considers safety as a critical process variable and relies on a combination of techniques such as Bayesian Networks, Multi Attribute Value Theory, Cognitive Reliability and Error Analysis Method. The approach is described through a case study of the cryogenic gas production industry.
2020
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
978-981-14-8593-0
Bayesian Networks
CREAM
Cryogenic gas
Global Risk Index
MAVT
File in questo prodotto:
File Dimensione Formato  
IRIS A novel approach to monitoring risk in safety critical plants.pdf

accesso aperto

: Publisher’s version
Dimensione 508.62 kB
Formato Adobe PDF
508.62 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1181260
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact