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How machine learning can help the military make more accurate predictions of intermittent demand
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How machine learning can help the military make more accurate predictions of intermittent demand Military service branches rely on modeling, simulation and training systems to enhance warfighter readiness. Like all systems, they are composed of hardware and software components that experience wear and tear and require upgrades, repairs, or replacement over time. Analyzing military systems to find the most efficient way to sustain system components in the supply chain is a research area of interest for Dr. Corey Hendricks, vice president and chief engineer at Leidos. We caught up with Hendricks after he presented a technical paper titled “Comparison of Intermittent Demand Forecasting Methods in Predicting the Repair of Simulators based upon System State” at I/ITSEC. Answers have been edited for clarity and length. What is interm...
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