Viability is one of the non-functional requirements in the complex engineered systems literature which is uses for assessing the ability of complex engineered systems under uncertainty. Usually in the earlier phase of systems design and development, systems stakeholders More
Viability is one of the non-functional requirements in the complex engineered systems literature which is uses for assessing the ability of complex engineered systems under uncertainty. Usually in the earlier phase of systems design and development, systems stakeholders have the request for increased value of viability and for this mean, system engineers propose several engineering changes. The main problem here is the lack of a method for analyzing the effectiveness of these engineering changes and also ranking them based on different criteria such as cost, time and risk. For promoting this gap, in this paper we propose a 11 step model for analyzing the effectiveness and also ranking the engineering changes for increasing systems viability with the use of Monte Carlo and Electre methods. The applicability of the model is shown by using illustrative example of space system datas
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