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12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Liverpool John Moores University

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Output 13 of 38 in the submission

Article title

An Offshore Risk Analysis Method Using Fuzzy Bayesian Network

Type

D - Journal article

DOI

10.1115/1.3124123

Title of journal

Journal of Offshore Mechanics and Arctic Engineering

Article number

Volume number

131

Issue number

First page of article

041101

ISSN of journal

08927219

Year of publication

2009

URL

Number of additional authors

Additional information

“This work pioneered the research in fuzzy-Bayesian network modelling applied to offshore system operations” (Associate Editor, Journal of Offshore Mechanics and Arctic Engineering). This work was a result of a joint EPSRC project (GR/S85504, £113k, Wang & Jenkinson; GR/S85498, £114k, Yang, Manchester University, 2004-2007) which was ranked 1st in an EPSRC’s prioritization panel in 2004 (source: www.epsrc.ac.uk). The research was conducted in collaboration with Health & Safety Executive and Shell Global Solutions. The work outcome was used in the feasibility study of offshore safety-based decision making in Shell Global Solutions (Senior Consultant, Shell Global Solutions).

Interdisciplinary

Cross-referral requested

Research group

1 - LOOM

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract