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Human error in autonomous underwater autonomous vehicle deployment: a systems dynamics approach

Human error in autonomous underwater autonomous vehicle deployment: a systems dynamics approach
Human error in autonomous underwater autonomous vehicle deployment: a systems dynamics approach
The use of Autonomous Underwater Vehicles (AUVs) for various applications have grown with maturing technology and improved accessibility. 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 extremities in the Antarctic. A thorough analysis of risks is therefore crucial for formulating effective risk control policies and achieve a lower risk of loss. Existing risk analysis approaches focused predominantly on the technical aspects, as well as identifying static cause and effect relationships in chain of events leading to AUV loss.
Comparatively, the complex interrelationships between risk variables and other aspects of risk such as human errors have received much lesser attention. In this paper, a systems-based risk analysis framework facilitated by system dynamics methodology is proposed to overcome existing shortfalls. To demonstrate usefulness of the framework, it is applied on an actual AUV program to examine the occurrence of human error during Antarctic deployment. Simulation of the resultant risk model showed an overall decline in human error incident rate with
the increase in experience of the AUV team. Scenario analysis based on the example provided policy recommendations in areas of training, practice runs, recruitment policy and setting of risk tolerance level. The proposed risk analysis framework is pragmatically useful for risk analysis of future AUV programs to ensure the sustainability of operations, facilitating both better control and monitoring of risk.
systems-based, risk of loss, human error, AUV, risk analysis framework
0272-4332
1258-1278
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 (2020) Human error in autonomous underwater autonomous vehicle deployment: a systems dynamics approach. Risk Analysis, 40 (6), 1258-1278. (doi:10.1111/risa.13467).

Record type: Article

Abstract

The use of Autonomous Underwater Vehicles (AUVs) for various applications have grown with maturing technology and improved accessibility. 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 extremities in the Antarctic. A thorough analysis of risks is therefore crucial for formulating effective risk control policies and achieve a lower risk of loss. Existing risk analysis approaches focused predominantly on the technical aspects, as well as identifying static cause and effect relationships in chain of events leading to AUV loss.
Comparatively, the complex interrelationships between risk variables and other aspects of risk such as human errors have received much lesser attention. In this paper, a systems-based risk analysis framework facilitated by system dynamics methodology is proposed to overcome existing shortfalls. To demonstrate usefulness of the framework, it is applied on an actual AUV program to examine the occurrence of human error during Antarctic deployment. Simulation of the resultant risk model showed an overall decline in human error incident rate with
the increase in experience of the AUV team. Scenario analysis based on the example provided policy recommendations in areas of training, practice runs, recruitment policy and setting of risk tolerance level. The proposed risk analysis framework is pragmatically useful for risk analysis of future AUV programs to ensure the sustainability of operations, facilitating both better control and monitoring of risk.

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More information

Accepted/In Press date: 14 February 2020
e-pub ahead of print date: 6 March 2020
Published date: June 2020
Keywords: systems-based, risk of loss, human error, AUV, risk analysis framework

Identifiers

Local EPrints ID: 437926
URI: http://eprints.soton.ac.uk/id/eprint/437926
ISSN: 0272-4332
PURE UUID: e15757e4-09f6-47bb-9615-c558fa3006cc
ORCID for Mario Brito: ORCID iD orcid.org/0000-0002-1779-4535

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Date deposited: 24 Feb 2020 17:30
Last modified: 28 Apr 2022 05:53

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Contributors

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

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