1. Proceedings
  2. I3M
  3. 2021
  4. DHSS
  5. 10.46354/i3m.2021.dhss.012

Modeling & Data Fusion to support Acquisition in Defense

  • a Agostino G. Bruzzone , 
  • b Marco Remondino, 
  • c Umberto Battista, 
  • d Giorgio Tardito, 
  • e Federico Taddei Santoni
  • a Simulation Team & Genoa University
  • b DIEC Genoa University
  • c,d,e Stam S.r.l., Via Pareto 8 AR, 16129, Genoa, Italy
Cite as
Bruzzone A., Remondino M., Battista U., Tardito G., Taddei Santoni F. (2021). Modeling & Data Fusion to support Acquisition in Defense. Proceedings of the 11th International Defence and Homeland Security Simulation Worskhop (DHSS 2021), pp. . DOI: https://doi.org/10.46354/i3m.2021.dhss.012
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Abstract

The Ministries of Defence (MoDs) are used to deal with the obsolescence of their legacy systems and assets while replacement are delayed usually due to financial reasons. On the other hand, they must also face evolving high-intensity threats and challenges. Innovative technologies and systems shall then be integrated with legacy assets, to upgrade military capabilities.
In order to support the decision-makers in the aforementioned process, there is the need to create tools capable of providing the required support. These tools shall be able of handling a large number of different types of data, coming from various sources. This work provides an extensive review of the state-of-the-art methodologies in the domain of cost, performance and risk analysis, and information and data fusion. Finally, the ones potentially capable of providing the best decision-support to MoDs are proposed.

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