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Policy recommendations for autonomous underwater vehicle operations through hybrid Fuzzy System Dynamics Risk Analysis (FusDRA)

Policy recommendations for autonomous underwater vehicle operations through hybrid Fuzzy System Dynamics Risk Analysis (FusDRA)
Policy recommendations for autonomous underwater vehicle operations through hybrid Fuzzy System Dynamics Risk Analysis (FusDRA)
The advancement of science and technology has resulted in an emerging trend in the use of autonomous equipment in many maritime universities. One such example is the use of autonomous underwater vehicles (AUV) for marine research. However, a key challenge lies in preventing loss of the AUV during deployment. To better control this risk of loss, a new form of hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. The three-step framework was demonstrated by a case study, analysing how reducing government support and increasing technological obsolescence can impact the long-term risk of AUV loss. Both results showed increase in risk of loss after 7 years into the AUV program and a synergistic combined effect when compared to a base scenario. A suite of risk control policy recommendations was proposed based on these results. Lastly, broader applications of the framework to other autonomous equipment is proposed.
1-10
Loh, Tzu Yang
f21489db-1aa9-4cdf-bcb0-ad784a98b2fb
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Bose, Neil
37b8d6e4-fd93-4bbe-827c-f060e0ce0851
Xu, Jingjing
879c88fa-1ef9-4288-8bb8-27479b6274ec
Tenekedjiev, Kiril
82dd0d80-2ee5-4db2-b04a-654cc703bd47
Loh, Tzu Yang
f21489db-1aa9-4cdf-bcb0-ad784a98b2fb
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Bose, Neil
37b8d6e4-fd93-4bbe-827c-f060e0ce0851
Xu, Jingjing
879c88fa-1ef9-4288-8bb8-27479b6274ec
Tenekedjiev, Kiril
82dd0d80-2ee5-4db2-b04a-654cc703bd47

Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing and Tenekedjiev, Kiril (2019) Policy recommendations for autonomous underwater vehicle operations through hybrid Fuzzy System Dynamics Risk Analysis (FusDRA). In International Association of Maritime Universities Conference (IAMUC). pp. 1-10 . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The advancement of science and technology has resulted in an emerging trend in the use of autonomous equipment in many maritime universities. One such example is the use of autonomous underwater vehicles (AUV) for marine research. However, a key challenge lies in preventing loss of the AUV during deployment. To better control this risk of loss, a new form of hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. The three-step framework was demonstrated by a case study, analysing how reducing government support and increasing technological obsolescence can impact the long-term risk of AUV loss. Both results showed increase in risk of loss after 7 years into the AUV program and a synergistic combined effect when compared to a base scenario. A suite of risk control policy recommendations was proposed based on these results. Lastly, broader applications of the framework to other autonomous equipment is proposed.

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Accepted/In Press date: 29 October 2019
Venue - Dates: International Association of Maritime Universities Conference (IAMUC), Tokyo, Japan, 2019-10-30 - 2019-11-01

Identifiers

Local EPrints ID: 433800
URI: https://eprints.soton.ac.uk/id/eprint/433800
PURE UUID: e0a9e1c3-5ede-4663-b0f4-8d58d0eaea65

Catalogue record

Date deposited: 04 Sep 2019 16:30
Last modified: 29 Nov 2019 17:31

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Contributors

Author: Tzu Yang Loh
Author: Mario Brito
Author: Neil Bose
Author: Jingjing Xu
Author: Kiril Tenekedjiev

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