Data Analytics

The Emerging Sun team applies advanced techniques in data science including modeling and simulation, optimization, forecasting, statistical modeling, and design of experiments to evaluate future states across various response metrics driven by input factors with inherent uncertainty such as part demands, supply chain performance, and diminishing manufacturers sources of material supply.

Quantitative relationships between input factors and resulting output generate predictive models that:

  • Provide a holistic representation of the global supply chain and complex operations
  • Allow decision makers to quickly identify corrective actions to enhance asset performance and control costs
  • Inform decisions related to affordability, trade-offs, should-cost and will-cost estimates, initial spares procurement, and development of maintenance and sustainment strategies