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Writer's pictureJunghyun (Andy) Kim

Intelligent inventory management using machine learning

Sponsored by Boeing


Research Motivation

The Boeing company has experienced cost growth due to changing customer requirements and delays in manufacturing and testing.


Key Idea

My team pitched idea with state-of-the-art machine learning techniques and proven simulation tools to improve demand and supply forecasting for aircraft components, which would reduce delays and enable a cost-effective "just-in-time" supply chain.



Note

This idea was one of winning proposals in Boeing Innovation Challenge in 2019. [Link]

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