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https://hdl.handle.net/20.500.14279/18410| Τίτλος: | Diagnosing reliability problems in Socio‐technical Systems: A Visualisation approach | Συγγραφείς: | Gregoriades, Andreas Sutcliffe, Alistair G. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Ημερομηνία Έκδοσης: | Ιου-2003 | Πηγή: | INCOSE International Symposium, 13: pp. 234-244 | Start page: | 234 | End page: | 244 | Conference: | INCOSE International Symposium | Περίληψη: | 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 |
| Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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