Heron Systems proposes Readiness+, a multi-dimensional analysis and predictive capability to improve the value offered by the Automated Logistics Environment (ALE) employed by the E-2D Advanced Hawkeye. Adapting successful concepts from industry, a cognitive system capable of both predicting maintenance requirements and suggesting preventative actions will be created. This capability will be built into applications tailored for program stakeholders supporting their specific requirements. A database will be established to associate structured and unstructured data assembled from multiple relevant data sources to provide a fleet-wide factual basis. Necessary prerequisites will be established to enable the envisioned solution during this phase. The initial database design will be established via analysis provided ALE data and relevant available datasets. Key performance indicators and other analysis items of interest will be identified via interviews with stakeholders spanning the E-2D program including maintenance personnel and program officials. These KPIs will provide the basis for generating analytic and predictive insights. Concept data views, dashboards, tools and other utilities will be designed and wireframed.
Benefit: A fully realized cognitive system will provide the E-2D program with a revolutionary capability to anticipate maintenance requirements and to adjust operations and maintenance activities to meet these requirements efficiently. The resulting increase in readiness will lower costs to the government and directly benefit the warfighter. This capability is widely transferable within the Department of Defense, offering substantial opportunities to further commercialize the technology. Further, this generic capability can be transferred to numerous industries where a complicated supply chain exists and geographically disparate operations are conducted.
Keywords: Analytics, Analytics, Analysis, Machine Learning, Logistics, Aircraft maintenance, Cognitive System, Predictions
