Diagnosing reliability problems in Socio‐technical Systems: A Visualisation approach

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18410

Title:	Diagnosing reliability problems in Socio‐technical Systems: A Visualisation approach
Authors:	Gregoriades, Andreas Sutcliffe, Alistair G.
Major Field of Science:	Engineering and Technology
Field Category:	Electrical Engineering - Electronic Engineering - Information Engineering
Issue Date:	Jul-2003
Source:	INCOSE International Symposium, 13: pp. 234-244
Start page:	234
End page:	244
Conference:	INCOSE International Symposium
Abstract:	This paper presents a visualisation approach of socio‐technical system design evaluation based on human reliability. Bayesian Belief networks are used to assess human error and system failure (Sutcliffe et al. 1999) based on a variety of high‐level operational scenarios. The System Reliability Analyser tool automates the process by iteratively manipulating the BBN model, presenting the analyst with a three‐level visualisation of the results to diagnose the locus of reliability problems. A case study is presented on the evaluation of two alternative designs of the command and control room of an offshore patrol vessel.
URI:	https://hdl.handle.net/20.500.14279/18410
DOI:	10.1002/j.2334-5837.2003.tb02613.x
Type:	Conference Papers
Affiliation :	University of Manchester
Publication Type:	Peer Reviewed
Appears in Collections:	Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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