TY - CHAP
T1 - Enhancing System Safety Through System Dynamics: A Case Study on Ship Remote Pilotage
AU - BahooToroody, Ahmad
AU - Abaei, Mohammad Mahdi
AU - Zarei, Esmaeil
AU - Bolbot, Victor
AU - Basnet, Sunil
AU - Valdez Banda, Osiris
PY - 2024
Y1 - 2024
N2 - Safety has always been a matter of concern, and nowadays, with the emergence of AI-based technologies, it is more imperative than ever to have efficient system safety modeling techniques trained with precursor accident analysis. Traditional, and well-known system safety and accident scenarios modeling techniques are not capable anymore of capturing nonlinear interactions among cutting-edge systems mainly due to increased complexity. System engineering and systemic approaches (e.g., FRAM, AcciMap, STPA) have attracted large attention due to their capability to cover this existing and growing gap. Accordingly, a System Dynamics (SD) model is discussed in this chapter as a system safety and accident model technique and then employed for a recently demonstrated intelligent remote pilotage system defined and developed in Finland. The SD simulation software is utilized to present the system safety performance, through a time of five years. Despite limitations, such as the restricted capabilities in casual factor identification and requirement for a thorough comprehension of the operation and system safety, the results prove the applicability of SD for intelligent operations. Utilizing casual loop diagram and stock and flow diagram, SD can cover both qualitative and quantitative aspects of system safety and accident modeling.
AB - Safety has always been a matter of concern, and nowadays, with the emergence of AI-based technologies, it is more imperative than ever to have efficient system safety modeling techniques trained with precursor accident analysis. Traditional, and well-known system safety and accident scenarios modeling techniques are not capable anymore of capturing nonlinear interactions among cutting-edge systems mainly due to increased complexity. System engineering and systemic approaches (e.g., FRAM, AcciMap, STPA) have attracted large attention due to their capability to cover this existing and growing gap. Accordingly, a System Dynamics (SD) model is discussed in this chapter as a system safety and accident model technique and then employed for a recently demonstrated intelligent remote pilotage system defined and developed in Finland. The SD simulation software is utilized to present the system safety performance, through a time of five years. Despite limitations, such as the restricted capabilities in casual factor identification and requirement for a thorough comprehension of the operation and system safety, the results prove the applicability of SD for intelligent operations. Utilizing casual loop diagram and stock and flow diagram, SD can cover both qualitative and quantitative aspects of system safety and accident modeling.
KW - Accident modeling
KW - Risk assessment
KW - Ship pilotage
KW - System dynamics
KW - System engineering
UR - http://www.scopus.com/inward/record.url?scp=85202031786&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-62470-4_16
DO - 10.1007/978-3-031-62470-4_16
M3 - Chapter
SN - 978-3-031-62469-8
T3 - Studies in Systems, Decision and Control
SP - 433
EP - 456
BT - Safety Causation Analysis in Sociotechnical Systems: Advanced Models and Techniques
A2 - Zarei, E.
PB - Springer
ER -