COBESE - An integrated model approach to address the mobility versus vulnerability trade-off in soldier systems
conference paper
The introduction, analysis or development of soldier systems presents many questions regarding the optimum of possible combinations of burden, effectiveness and safety of the soldier system. The soldier is subject to a broad spectrum of physical loads as a consequence of the threats being encountered. Often, the individual burdens are treated and analysed independently, but the interdependence of the burdens require an integrated approach. In the future such a model can be used to e.g. guide decisions for procurement of clothing and equipment or to guide future needs for development.
The initial steps in constructing such an integral model are presented here. The model is called COBESE (COst BEnefit model for Soldier system Evaluation). The focus for the current iteration COBESE model lies on the trade-off between mobility and vulnerability (i.e. the physical safety). COBESE aims to integrate existing models with expert judgement in order to model the influence of clothing and equipment (costs) on an individual soldier’s mobility (benefits). This integration qualitative and quantitative data is achieved using a Bayesian Belief Network (BBN) approach. This paper describes the choices, underlying structure and the implemented sub-models of the COBESE model. Furthermore, case studies are performed to demonstrate the functionality and benefits of the model.
The initial steps in constructing such an integral model are presented here. The model is called COBESE (COst BEnefit model for Soldier system Evaluation). The focus for the current iteration COBESE model lies on the trade-off between mobility and vulnerability (i.e. the physical safety). COBESE aims to integrate existing models with expert judgement in order to model the influence of clothing and equipment (costs) on an individual soldier’s mobility (benefits). This integration qualitative and quantitative data is achieved using a Bayesian Belief Network (BBN) approach. This paper describes the choices, underlying structure and the implemented sub-models of the COBESE model. Furthermore, case studies are performed to demonstrate the functionality and benefits of the model.
TNO Identifier
514901
Source title
PASS 2014 - Personal Armour Systems Symposium, Robinson College, Cambridge, United Kingdom, 8-12 September 2014
Collation
10 p. (Paper 44)
Files
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