Abstract
Nowadays, different accident causation models are used to explain how accidents happen, whereas most of them were developed long time ago. There is an argument that significant changes have occurred in the industry and traditional models may have limitations in identifying causes of accidents in modern industry within complex socio‐technical environment. Consequently, new accident models based on systems theory have been introduced, but they are mainly used by academic researchers. Among systemic accident models, Systems‐Theoretic Accident Model and Processes (STAMP), Functional Resonance Accident Model (FRAM), and AcciMap methods have been identified as the most frequently cited models.This article presents a case study‐based comparison of these three models. STAMP and FRAM are used to analyze the Chevron Richmond refinery accident, which is investigated by U.S. Chemical Safety and Hazard Investigation Board (CSB). CSB investigation team developed an AcciMap of the accident.The results are compared and differences are discussed. In conclusion, STAMP is likely to be more instrumental and comprehensive in identifying contributing factors and generating recommendations. © 2018 American Institute of Chemical Engineers Process Saf Prog 38: e12002, 2019
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.