Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic

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...

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Published in:Risk Analysis
Main Authors: Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing, Tenekedjiev, Kiril
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://eprints.soton.ac.uk/435660/
https://eprints.soton.ac.uk/435660/1/JRA_Revised_28Jul_accepted.docx
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spelling ftsouthampton:oai:eprints.soton.ac.uk:435660 2023-07-30T03:57:43+02:00 Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic Loh, Tzu Yang Brito, Mario Bose, Neil Xu, Jingjing Tenekedjiev, Kiril 2020-04-01 text https://eprints.soton.ac.uk/435660/ https://eprints.soton.ac.uk/435660/1/JRA_Revised_28Jul_accepted.docx en English eng https://eprints.soton.ac.uk/435660/1/JRA_Revised_28Jul_accepted.docx Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing and Tenekedjiev, Kiril (2020) Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic. Risk Analysis, 40 (4), 818-841. (doi:10.1111/risa.13429 <http://dx.doi.org/10.1111/risa.13429>). accepted_manuscript Article PeerReviewed 2020 ftsouthampton https://doi.org/10.1111/risa.13429 2023-07-09T22:32:59Z 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 endeavors due to the extreme operating environment. To control the risk of loss, existing risk analyses approaches tend to focus more on the AUV's technical aspects and neglect the role of soft factors, such as organizational and human influences. In addition, the dynamic and complex interrelationships of risk variables are also often overlooked due to uncertainties and challenges in quantification. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. In the FuSDRA framework, system dynamics models the interrelationships between risk variables from different dimensions and considers the time-dependent nature of risk while fuzzy logic accounts for uncertainties. To demonstrate its application, an example based on an actual Antarctic AUV program is presented. Focusing on funding and experience of the AUV team, simulation of the FuSDRA risk model shows a declining risk of loss from 0.293 in the early years of the Antarctic AUV program, reaching a minimum of 0.206 before increasing again in later years. Risk control policy recommendations were then derived from the analysis. The example demonstrated how FuSDRA can be applied to inform funding and risk management strategies, or broader application both within the AUV domain and on other complex technological systems. Article in Journal/Newspaper Antarc* Antarctic University of Southampton: e-Prints Soton Antarctic The Antarctic Risk Analysis 40 4 818 841
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description 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 endeavors due to the extreme operating environment. To control the risk of loss, existing risk analyses approaches tend to focus more on the AUV's technical aspects and neglect the role of soft factors, such as organizational and human influences. In addition, the dynamic and complex interrelationships of risk variables are also often overlooked due to uncertainties and challenges in quantification. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. In the FuSDRA framework, system dynamics models the interrelationships between risk variables from different dimensions and considers the time-dependent nature of risk while fuzzy logic accounts for uncertainties. To demonstrate its application, an example based on an actual Antarctic AUV program is presented. Focusing on funding and experience of the AUV team, simulation of the FuSDRA risk model shows a declining risk of loss from 0.293 in the early years of the Antarctic AUV program, reaching a minimum of 0.206 before increasing again in later years. Risk control policy recommendations were then derived from the analysis. The example demonstrated how FuSDRA can be applied to inform funding and risk management strategies, or broader application both within the AUV domain and on other complex technological systems.
format Article in Journal/Newspaper
author Loh, Tzu Yang
Brito, Mario
Bose, Neil
Xu, Jingjing
Tenekedjiev, Kiril
spellingShingle Loh, Tzu Yang
Brito, Mario
Bose, Neil
Xu, Jingjing
Tenekedjiev, Kiril
Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
author_facet Loh, Tzu Yang
Brito, Mario
Bose, Neil
Xu, Jingjing
Tenekedjiev, Kiril
author_sort Loh, Tzu Yang
title Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
title_short Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
title_full Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
title_fullStr Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
title_full_unstemmed Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
title_sort fuzzy system dynamics risk analysis (fusdra) of autonomous underwater vehicle operations in the antarctic
publishDate 2020
url https://eprints.soton.ac.uk/435660/
https://eprints.soton.ac.uk/435660/1/JRA_Revised_28Jul_accepted.docx
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation https://eprints.soton.ac.uk/435660/1/JRA_Revised_28Jul_accepted.docx
Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing and Tenekedjiev, Kiril (2020) Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic. Risk Analysis, 40 (4), 818-841. (doi:10.1111/risa.13429 <http://dx.doi.org/10.1111/risa.13429>).
op_rights accepted_manuscript
op_doi https://doi.org/10.1111/risa.13429
container_title Risk Analysis
container_volume 40
container_issue 4
container_start_page 818
op_container_end_page 841
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