Systems engineering, system safety

Nicolas Dulac is a doctoral student in the department of Aeronautics and Astronautics at the Massachusetts Institute of Technology. His current research interests span system engineering, system safety, visualization of complex systems, hazard analysis in socio-technical systems, safety culture, and dynamic risk analysis. He holds an M.S. degree in aeronautics and astronautics from MU, and a B.S. degree in mechanical engineering from McGill University. 

Peter J. Glismann is a Certified Safety Professional and a licensed Professional Engineer. He has served the defense, construction, supply chain management, and transportation industries as a consultant in the areas of systems engineering, system safety, program management, and special inspection. In addition, he is a member of the National Speakers Association, a Master of Special Inspection, and has supported clients as a forensics engineer and expert witness. 

This is because many of the factors that have been shown to be the antecedents of major process accidents (e.g., poor procedures, inadequate training) are not usually under the control of the individual worker. The other approaches can also be applied to improving quality and productivity as well as process safety and can be readily integrated with engineering system safety techniques, as will be described in Chapters 4 and 5. 

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To achieve the first two aspects, the system engineer and safety practitioner will need to obtain technical information from the ETSO holder on the behaviour of their component. Whilst software requirements specifications and design descriptions are rarely available (due to intellectual property constraints), the integrator should at least be able to access the technical data on integration and the operator manuals in order to discern the behaviors of the system. Remember though, the focus should not just be the functional behaviors but also the behavior of the system under failure conditions. ... 

SAV fault tolerance These mechanisms may be less obvious to the systems engineer or safety practitioner. Although they should still have an understanding of the SAV fault coverage of the mechanisms employed as they will need to ensure that classes of SAV faults that propagate to the subsystem or system architecture level are appropriately detected and handled. 

While S/W coding is almost entirely the pnrview of the S/W developer, there are several factors that the systems engineer and safety practitioner should be aware of. Specifically, be aware of the factors affecting the introduction of faults during the coding process and how this might impact snbseqnent V V activities. 

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Celeux, G., Corset, R, Lannoy, A, Ricard, B., 2006. Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way. Reliability Engineering System Safety, Volume 91, Pages 849-856. 

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Strater, O., Dang, V, Kaufer, B., Daniels, A. (2004). On the way to assess errors of commission. Reliability Engineering System Safety, 83, 129-138. 

Konstandinidou, M., Nivolianitou, Z., Kyranoudis C. Markatos, N., 2006. A fuzzy modelling application of CREAM methodology for human reliability analysis. Reliability Engineering System Safety 91(6) 706—716. 

LangsethH., Nielsen T. D., Rumi R, Salmeron A. 2009. Inference in Hybrid Bayesian Networks, Preprint submitted to Reliability Engineering System Safety February 11 2009. 

Brito, A.J. Almeida, A.T. 2009. Multi-attribute risk assessment for risk ranking of natural gas pipelines. Reliability Engineering System Safety 94 (2) 187-198. 

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Ferreira RIP, Almeida AT, Cavalcante CAV 2009. A multicriteria decision model to determine inspection intervals of condition. Reliability Engineering System Safety 94, 905 912. 

Bertolini, M. Bevilacqua, M. 2006. A combined goal programming - AHP approach to maintenance selection problem. Reliability Engineering System Safety 91 839-848. 

Bevilacqua, M. Braglia, M. 2000. The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering System Safety 70 71-83... 

Hijes, F. Cartagena, J. 2006. Maintenance strategy based on a multicriterion classification of equipments. Reliability Engineering System Safety 91 444-451 Levary, R. Wan, K. 1998. A simulation approach for handling uncertainty in the analytic hierarchy process. European Journal of Operational Research 106 116-122... 

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Chen, D. Trivedi, K. S. 2005. Optimization for condition-based maintenance with semi-Markov decision process. Reliability Engineering System Safety, 90( 1) 25-29. 

Marseguerra, M., Zio, E. Martorell, S. 2006. Basics of genetic agorithms optimization for RAMS applications. Reliability Engineering System Safety, 91(9) 977-991. 

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