Decision analytics to support capability based planning

Capability development decisions are complex; the implications of such decisions are therefore not well understood and could lead to major consequences including critical capability gaps and waste of valuable resources. The primary aim of this research is to develop computational models underpinning capability decisions using cross-disciplinary approaches including systems thinking, mathematical optimisation and computational intelligence and formalising the relationship between capability decision variables and design choices or capability options. Such models will allow better structuring of the problem space, including the internal and external contexts of the decision environment, solution space, relationships between decision and solution variables and future end states. The second aim is to develop a simulation framework based on the developed models to analyse the dynamics of capability decisions in specific contexts including defence. The developed frameworks will provide better understanding of the decision environment and the transformation between the decision and objective spaces leading to better informed capability decisions.

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