An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry

Seyed Miri Lavasani*, Anousheh Zendegani, Metin Celik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

157 Citations (Scopus)


Fault Tree Analysis (FTA) is an established technique in risk management associated with identified hazards specific to focused fields. It is a comprehensive, structured and logical analysis method aimed at identifying and assessing hazards of complex systems. To conduct a quantitative FTA, it is essential to have sufficient data. By considering the fact that sufficient data is not always available, the FTA method can be adopted into the problems under fuzzy environment, so called as Fuzzy Fault Tree Analysis (FFTA). This research extends FFTA methodology to petrochemical process industry in which fire, explosion and toxic gas releases are recognized as potential hazards. Specifically, the case study focuses on Deethanizer failure in petrochemical plant operations to demonstrate the proposed methodology. Consequently, the study has provided theoretical and practical values to challenge with operational data shortage in risk assessment.

Original languageEnglish
Pages (from-to)75-88
Number of pages14
JournalProcess Safety and Environmental Protection
Publication statusPublished - 2015

Bibliographical note

Publisher Copyright:
© 2013 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.


  • Fault tree analysis
  • Fuzzy sets
  • Operations modelling
  • Petrochemical industry
  • Risk assessment
  • Safety management


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