×B7. Design of experiments

Design of experiments is the collective term for a powerful set of techniques that utilise statistical sampling to generate insights into the key influences in a live system under test, or a virtual/constructive model. These techniques can be used to infer meaningful results when there are a limited number of experiments (e.g., during field trials or live-fire tests), or reduce the number of design points for large simulation models when there are too many variables to consider and thus too many potential experiments. This session seeks submissions across the diverse range of the field of experimental design, including but not limited to theoretical developments (e.g., new designs or variations on current designs), application types (experimental trials, human-in-the-loop simulation, large-scale simulation models) and application areas across the Defence capability life cycle (force design, capability requirements, acquisition and sustainment).

Key topics: Large-scale simulation models, Experimental trials, Human-in-the-loop simulation, Statistical sampling