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|Title: ||A model-based approach to system of systems risk management|
|Authors: ||Kinder, Andrew M.K.|
Siemieniuch, Carys E.
|Keywords: ||Systems of systems|
Risk management modelling
|Issue Date: ||2015|
|Publisher: ||© IEEE|
|Citation: ||KINDER, A., HENSHAW, M. and SIMIENIUCH, C.E., 2015. A model-based approach to system of systems risk management. IN: Proceedings of 2015 10th IEEE System of Systems Engineering Conference (SoSE), San Antonio, United States, 17-20 May 2015, pp.122-127.|
|Abstract: ||This paper discusses the approaches required for risk management of ‘traditional’ (single) Systems and System of Systems (SoS) and identifies key differences between them. When engineering systems, the Risk Management methods applied tend to use qualitative techniques, which provide subjective probabilities and it is argued that, due to the inherent complexity of SoS, more quantitative methods must be adopted. The management of SoS risk must be holistic and should not assume that if risks are managed at the system level then SoS risk will be managed implicitly. A model-based approach is outlined, utilizing a central Bayesian Belief Network (BBN) to represent risks and contributing factors. Supporting
models are run using a Monte Carlo approach, thereby generating results, which may be ‘learnt’ by the BBN, reducing the reliance on subjective data.|
|Description: ||THIS DOCUMENT IS CLOSED ACCESS. © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Publisher Link: ||http://dx.doi.org/10.1109/SYSOSE.2015.7151940|
|Appears in Collections:||Closed Access (Mechanical, Electrical and Manufacturing Engineering)|
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