A method to assess maritime resilience

J.A. Rypkema; F.A. van der Beek; J.M.C. Schraagen; J.W. Winkelman; M. van Wijngaarden

A method to assess maritime resilience

J.A. Rypkema, F.A. van der Beek, J.M.C. Schraagen, J.W. Winkelman, M. van Wijngaarden

Cognitive Psychology and Ergonomics (CPE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The aim of this study is to develop a multi-level Resilience Analysis Method (RAM) to assess risk and performance variability in current maritime Socio-Technical Systems (STSs). The method integrates Hollnagel’s four resilience abilities to assess a system’s ability to effectively cope with disturbances and changes within the system. The RAM builds upon and extends existing methods. The method defines various system components of the STS on different hierarchical levels including control and feedback loops. It improves understanding of performance variability and associated strategies of all relevant users within the STS. A questionnaire assesses performance on the four resilience abilities. Future work will concentrate on validating the questionnaire and making the method applicable for prospective and design analysis as well. The method will be part of the future SEAHORSE virtual platform for assessing and improving resilience.

Original language	English
Title of host publication	Safety and Reliability of Complex Engineered Systems
Subtitle of host publication	Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015
Editors	Enrico Zio, Luca Podofillini, Wolfgang Kröger, Bruno Sudret, Božidar Stojadinović
Publisher	CRC Press/Balkema
Pages	3873-3879
Number of pages	7
ISBN (Print)	978-1-138-02879-1
Publication status	Published - 1 Jan 2015
Event	European Safety and Reliability Conference, ESREL 2015 - ETH, the Swiss Federal Institute of Technology, Zurich, Switzerland Duration: 7 Sep 2015 → 10 Sep 2015 Conference number: 25 https://esrel2015.ethz.ch/

Conference

Conference	European Safety and Reliability Conference, ESREL 2015
Abbreviated title	ESREL
Country	Switzerland
City	Zurich
Period	7/09/15 → 10/09/15
Internet address	https://esrel2015.ethz.ch/

Keywords

Marine
Human & operational modelling
HOI - Human Behaviour & Organisational Innovations
ELSS - Earth, Life and Social Sciences

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Rypkema, J. A., van der Beek, F. A., Schraagen, J. M. C., Winkelman, J. W., & van Wijngaarden, M. (2015). A method to assess maritime resilience. In E. Zio, L. Podofillini, W. Kröger, B. Sudret, & B. Stojadinović (Eds.), Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 (pp. 3873-3879). CRC Press/Balkema.

Rypkema, J.A. ; van der Beek, F.A. ; Schraagen, J.M.C. ; Winkelman, J.W. ; van Wijngaarden, M. / A method to assess maritime resilience. Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. editor / Enrico Zio ; Luca Podofillini ; Wolfgang Kröger ; Bruno Sudret ; Božidar Stojadinović. CRC Press/Balkema, 2015. pp. 3873-3879

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abstract = "The aim of this study is to develop a multi-level Resilience Analysis Method (RAM) to assess risk and performance variability in current maritime Socio-Technical Systems (STSs). The method integrates Hollnagel{\textquoteright}s four resilience abilities to assess a system{\textquoteright}s ability to effectively cope with disturbances and changes within the system. The RAM builds upon and extends existing methods. The method defines various system components of the STS on different hierarchical levels including control and feedback loops. It improves understanding of performance variability and associated strategies of all relevant users within the STS. A questionnaire assesses performance on the four resilience abilities. Future work will concentrate on validating the questionnaire and making the method applicable for prospective and design analysis as well. The method will be part of the future SEAHORSE virtual platform for assessing and improving resilience.",

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author = "J.A. Rypkema and {van der Beek}, F.A. and J.M.C. Schraagen and J.W. Winkelman and {van Wijngaarden}, M.",

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booktitle = "Safety and Reliability of Complex Engineered Systems",

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Rypkema, JA, van der Beek, FA, Schraagen, JMC, Winkelman, JW & van Wijngaarden, M 2015, A method to assess maritime resilience. in E Zio, L Podofillini, W Kröger, B Sudret & B Stojadinović (eds), Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. CRC Press/Balkema, pp. 3873-3879, European Safety and Reliability Conference, ESREL 2015, Zurich, Switzerland, 7/09/15.

A method to assess maritime resilience. / Rypkema, J.A.; van der Beek, F.A.; Schraagen, J.M.C.; Winkelman, J.W.; van Wijngaarden, M.

Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. ed. / Enrico Zio; Luca Podofillini; Wolfgang Kröger; Bruno Sudret; Božidar Stojadinović. CRC Press/Balkema, 2015. p. 3873-3879.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - van der Beek, F.A.

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AU - Winkelman, J.W.

AU - van Wijngaarden, M.

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AB - The aim of this study is to develop a multi-level Resilience Analysis Method (RAM) to assess risk and performance variability in current maritime Socio-Technical Systems (STSs). The method integrates Hollnagel’s four resilience abilities to assess a system’s ability to effectively cope with disturbances and changes within the system. The RAM builds upon and extends existing methods. The method defines various system components of the STS on different hierarchical levels including control and feedback loops. It improves understanding of performance variability and associated strategies of all relevant users within the STS. A questionnaire assesses performance on the four resilience abilities. Future work will concentrate on validating the questionnaire and making the method applicable for prospective and design analysis as well. The method will be part of the future SEAHORSE virtual platform for assessing and improving resilience.

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KW - Human & operational modelling

KW - HOI - Human Behaviour & Organisational Innovations

KW - ELSS - Earth, Life and Social Sciences

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