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Fuzzy system dynamics risk analysis (FuSDRA) of autonomous underwater vehicle operations in the Antarctic

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Loh, Tzu Yang ORCID: 0000-0001-6484-5254, Brito, MP ORCID: 0000-0002-1779-4535, Bose, N ORCID: 0000-0002-6444-0756, Xu, Jingjing and Tenekedjiev, K ORCID: 0000-0003-3549-0671 , 'Fuzzy system dynamics risk analysis (FuSDRA) of autonomous underwater vehicle operations in the Antarctic' , Journal of Risk Analysis .

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Abstract

With the maturing of autonomous technology and better accessibility, there has been a growing interest in the use of Autonomous Underwater Vehicles (AUVs). The deployment of AUVs for under-ice marine science research in the Antarctic is one such example. However, a higher risk of AUV loss is present during such endeavours due to the extreme operating environment. Existing risk analyses approaches tend to focus more on the AUV’s technical aspects but this paper shows that organisational, human and external influences also play a significant role in influencing the risk of AUV loss. The dynamic and complex inter-relationships of risk variables are also often overlooked due to ambiguity and vagueness. To overcome these shortfalls, an integrated fuzzy system dynamics risk analysis (FuSDRA) is proposed. In FuSDRA, system dynamics models the dynamic inter-relationships between risk variables from different dimensions while fuzzy logic accounts for vagueness and ambiguity. An application example based on the nupiri muka AUV program is presented. The combined effect of funding and experience of the AUV team showed a declining risk of loss from 0.293 in the early years of the AUV program, reaching a minimal of 0.206 before increasing again in later years. Risk control policy recommendations were then explored through changing the initial average experience of the team, and varying external commercial and internal research demand. The example clearly demonstrated how FuSDRA can be applied to inform funding and risk management strategies, or broader application both within the AUV domain and on other science complex technological systems

Item Type: Article
Authors/Creators:Loh, Tzu Yang and Brito, MP and Bose, N and Xu, Jingjing and Tenekedjiev, K
Keywords: Autonomous Underwater Vehicle, System Dynamics, Fuzzy Set Theory, Risk Analysis
Journal or Publication Title: Journal of Risk Analysis
Copyright Information:

Copyright 2019 the authors

Additional Information:

This version of the manuscript is a resubmitted version to the Journal of Risk Analysis after reviewer comments. Currently the manuscript is awaiting final decision from the editor.

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