A systems engineering framework for the safety analysis of MASS

Ventikos, Nikolaos P.; Koimtzoglou, Alexandros

doi:10.3850/978-981-18-5184-1_ms-07-204-cd

Cited by 1 publication

(3 citation statements)

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“…Most ships today include very complex automated systems. The increased capabilities of data collection, processing and interconnection that allow automated systems to be controlled from a remote location or through the utilization of Artificial Intelligence, will change the role of human within the MASS system [3].…”

Section: Introductionmentioning

confidence: 99%

“…Currently, there are many ongoing IMO activities aimed at identifying the need to amend IMO provisions, which allow for the operation of ships with a higher degree of automation. Nevertheless, through the research conducted so far on MASS there are three main challenges that have to be addressed: 1) That autonomous systems and/or vessels should be at least as safe as conventional ones [1], 2) the role of human within the MASS system and the interactions with it remains vague, hence further research is required on this matter to clearly define the role of human according to the level of autonomy [3,5], and 3) new methodologies for hazard identification and risk assessment are required to deal with the emerging risks and the increase complexity of MASS [12]. Furthermore, it is expected that the presence of human within the system and the interactions with it will not be eliminated, human will always be part of the overall system [13].…”

Section: Introductionmentioning

confidence: 99%

“…[15]. However, in the maritime domain STPA has been mainly applied on MASS systems for hazard identification [18][19][20], compared to the rest of methods that are considered quite innovative, and they still have not been tested in this domain [3].…”

Section: Introductionmentioning

confidence: 99%

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Application of the EAST-BL method on a MASS system for Hazard Identification and Risk Assessment

Ventikos,

Siokouros,

Koimtzoglou

2023

J. Phys.: Conf. Ser.

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As can be seen through the continuous research on the Marine Autonomous Surface Ships (MASS) in recent years, several positive as well as optimistic results have been emerged, along with several concerns. In particular, the risk analysis process regarding MASS faces many difficulties as the lack of respective data may lead the estimation of probability or frequency to be extremely uncertain or even biased. To this end, the application of risk informed approaches, that are based on the traditional definition of risk, can be quite misleading. This paper presents a methodology for risk assessment on MASS based on the utilisation of the EAST-BL, a system-based methodology that combines the output of three different networks (i.e., task, social and information) for human and non-human agents of a system to identify hazards and the DNV’s framework for risk assessment from the RBAT study. The objective of the paper is to provide insights regarding the application of EAST-BL on MASS as well as the way that system-based methods can be utilised to enhance the hazard identification and risk assessment processes for MASS.

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Section: Introductionmentioning

confidence: 99%