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Systems Theoretic Accident Model and Process (STAMP) safety modelling applied to an aircraft rapid decompression event

Systems Theoretic Accident Model and Process (STAMP) safety modelling applied to an aircraft rapid decompression event
Systems Theoretic Accident Model and Process (STAMP) safety modelling applied to an aircraft rapid decompression event
Understanding a crew’s response to a rapid decompression, and factors which can influence the decisions crew members make, can facilitate a safe resolution of a potentially life threatening hazard. Anticipating the Human Factors issues is an appropriate way to assess potential risk factors before such an event happens. The Systems Theoretic Accident Model and Process (STAMP) and its predictive risk assessment method, System-Theoretic Process Analysis (STPA), is a systemic approach to safety analysis. This approach is ideal when considering complex systems, such as aviation. The scenario of an aircraft experiencing a decompression event was analysed using STAMP-STPA across a series of workshops during which key safety elements were identified and reflected upon. It was found that the use of the STAMP-STPA methodology successfully identified factors central to the Helios 522 accident. Based on the outputs of this research, it is suggested that, due to its inherent utility, the STAMP-STPA method can be used to elicit a variety of safety critical insights, and does so in a way that considers individuals, organisations and technology at the same level of granularity, in a way that does not attribute blame to any single agent.
0925-7535
159
Allison, Craig
46b3ce37-1986-4a23-9385-a54d0abd08d5
Revell, Kirsten
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Sears, Rod
6ac46790-e737-4f34-8bc2-f6a0c14df25c
Allison, Craig, Revell, Kirsten, Stanton, Neville and Sears, Rod (2017) Systems Theoretic Accident Model and Process (STAMP) safety modelling applied to an aircraft rapid decompression event Safety Science, 98, p. 159. (doi:10.1016/j.ssci.2017.06.011).

Allison, Craig, Revell, Kirsten, Stanton, Neville and Sears, Rod (2017) Systems Theoretic Accident Model and Process (STAMP) safety modelling applied to an aircraft rapid decompression event Safety Science, 98, p. 159. (doi:10.1016/j.ssci.2017.06.011).

Record type: Article

Abstract

Understanding a crew’s response to a rapid decompression, and factors which can influence the decisions crew members make, can facilitate a safe resolution of a potentially life threatening hazard. Anticipating the Human Factors issues is an appropriate way to assess potential risk factors before such an event happens. The Systems Theoretic Accident Model and Process (STAMP) and its predictive risk assessment method, System-Theoretic Process Analysis (STPA), is a systemic approach to safety analysis. This approach is ideal when considering complex systems, such as aviation. The scenario of an aircraft experiencing a decompression event was analysed using STAMP-STPA across a series of workshops during which key safety elements were identified and reflected upon. It was found that the use of the STAMP-STPA methodology successfully identified factors central to the Helios 522 accident. Based on the outputs of this research, it is suggested that, due to its inherent utility, the STAMP-STPA method can be used to elicit a variety of safety critical insights, and does so in a way that considers individuals, organisations and technology at the same level of granularity, in a way that does not attribute blame to any single agent.

Text PURE Systems Theoretic Accident Model and Process (STAMP) Safety Modelling Applied to an Aircraft Rapid Decompression Event - Accepted Manuscript
Restricted to Repository staff only until 27 December 2018.

More information

Accepted/In Press date: 20 June 2017
e-pub ahead of print date: 27 June 2017
Published date: October 2017
Organisations: Transportation Group, Southampton Marine & Maritime Institute

Identifiers

Local EPrints ID: 411936
URI: http://eprints.soton.ac.uk/id/eprint/411936
ISSN: 0925-7535
PURE UUID: c73c367c-5f8d-4832-a59a-56d205640996

Catalogue record

Date deposited: 30 Jun 2017 16:30
Last modified: 01 Oct 2017 16:31

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