Evaluating and improvement of safety instruments in offshore industries using dependability analysis

V. Ebrahimipour, K. Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The objective of this paper is to present a framework for assessing and improving safety object performance based on dependability. The main idea is to employ Principle Component Analysis (PCA) and Importance Analysis (IA) to provide insight on safety object performance. The validity of the model is verified and validated by Data Envelopment Analysis (DEA). Furthermore, a non-parametric correlation method, namely, Spearman correlation experiment shows a high level of correlation between the findings of PCA and DEA. At first PCA is used for assessing the performance of safety objects and ranking them. IA is then performed for the worst safety objectwhich could have most impact on the overall system effectiveness to classify their components based on the Component Criticality Measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward decreasing failure interdependency and magnitude of incidents which ultimately maximize overall operational effectiveness.

Original languageEnglish
Title of host publicationAdvances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
Pages529-537
Number of pages9
Publication statusPublished - Dec 1 2005
Event16th European Safety and Reliability Conference, ESREL 2005 - Tri City, Poland
Duration: Jun 27 2005Jun 30 2005

Publication series

NameAdvances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005
Volume1

Other

Other16th European Safety and Reliability Conference, ESREL 2005
CountryPoland
CityTri City
Period6/27/056/30/05

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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