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

Ceylan B. O., Akyüz E., Arslanoğlu Y.

OCEAN ENGINEERING, vol.253, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 253
  • Publication Date: 2022
  • Doi Number: 10.1016/j.oceaneng.2022.111187
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Computer & Applied Sciences, Environment Index, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: Accident analysis, Ship incident, STAMP, Rule-based fuzzy FMEA, Engine failure, Complex engineering structures, RISK ANALYSIS, SAFETY MANAGEMENT, COMPLEX-SYSTEMS, FMEA APPROACH, FUZZY, ACCIMAP, HFACS, TREE, RELIABILITY, DIAGNOSIS
  • Istanbul Technical University Affiliated: Yes


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.