Modified quantitative systems theoretic accident model and processes (STAMP) analysis: A catastrophic ship engine failure case

Bulut Ozan Ceylan*, Emre Akyuz, Yasin Arslanoğlu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


Despite the rapid advancement of technology and the increasing complexity of systems, conventional accident analysis techniques developed many years ago are still used in numerous sectors. On the other hand, these approaches are limited in detecting all underlying causes of accidents in complex socio-technical systems. In recent years, system theory-based novel accident analysis techniques have been proposed to address this issue. Systems-Theoretic Accident Model and Processes (STAMP) is one of these innovative analytic techniques with a strong detection capability. The method has the ability for analyzing human, organization, hardware, software, external factor components, and their interactions in a dynamic structure. However, despite the method's strong analysis capacity, it is a shortcoming that STAMP is a qualitative method. This study aims to present a hybrid quantitative methodology for complex system accidents based on a system engineering perspective to fill this gap. In this context, a real catastrophic marine diesel engine incident was analyzed to prove the applicability and effectiveness of the methodology. According to the analysis results, the main causes of the case incident were systematically determined as 80% human factor, 13% hardware & software factor, and 7% external factor.

Original languageEnglish
Article number111187
JournalOcean Engineering
Publication statusPublished - 1 Jun 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd


This article is produced from the PhD dissertation entitled ?Novel Approach for Maritime Complex System Accident Analysis? which has been executed in the Maritime Transportation Engineering Program of ITU Graduate School.

FundersFunder number
International Technological University


    • Accident analysis
    • Complex engineering structures
    • Engine failure
    • Rule-based fuzzy FMEA
    • Ship incident
    • STAMP


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