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Optimising vessel layout using human factors simulation

Optimising vessel layout using human factors simulation

Deere, Steven J. ORCID logoORCID: https://orcid.org/0000-0001-5171-2014, Galea, Edwin R. ORCID logoORCID: https://orcid.org/0000-0002-0001-6665 and Lawrence, Peter J. ORCID logoORCID: https://orcid.org/0000-0002-0269-0231 (2010) Optimising vessel layout using human factors simulation. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A. and Schreckenberg, M., (eds.) Pedestrian and Evacuation Dynamics 2008. Springer-Verlag, Berlin / Heidelberg, Germany, pp. 597-603. ISBN 978-3-642-04503-5 (Print), 978-3-642-04504-2 (Online) (doi:10.1007/978-3-642-04504-2_54)

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Abstract

Evaluating ship layout for human factors (HF) issues using simulation software such as maritimeEXODUS can be a long and complex process. The analysis requires the identification of relevant evaluation scenarios; encompassing evacuation and normal operations; the development of appropriate measures which can be used to gauge the performance of crew and vessel and finally; the interpretation of considerable simulation data. In this paper we present a systematic and transparent methodology for assessing the HF performance of ship design which is both discriminating and diagnostic.

Item Type: Book Section
Additional Information: [1] This paper was presented at the 4th International Conference on "Pedestrian and Evacuation Dynamics", held from 27-29 February 2008 at Wuppertal University, Wuppertal, Germany. [2] The topics presented were published in Pedestrian and Evacuation Dynamics 2008.
Uncontrolled Keywords: maritimeEXODUS, evaluation, human factors, simulation software, ship design, evacuation
Subjects: V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 15 Jul 2019 15:52
URI: http://gala.gre.ac.uk/id/eprint/1760

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