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Information collected in real-time during the transportation process can be used to produce predictive models for fuel efficiency and product rejections. Although future study is needed to refine the model for product rejections to the point of deployment, a clear framework exists for development of these tools.

Authors: Carlos Seminario and Emmanuel Marks
Advisor: Dr. Edgar Blanco

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