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    Applications of Machine Learning in the Supply Chain

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    Date
    2018-02-15
    Author
    Pokutta, Sebastian
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    Abstract
    In this talk we will explore the possibilities of machine learning in supply chains and logistics. We will see that modern machine learning methods, often in a black box fashion, allow us to move from model-driven decision-making to data-driven decision-making. This results in high levels of flexibility and agility, which is of ever-increasing importance in fast-paced supply chain and logistics environments. We will lay out the foundation of this paradigm and look at specifics examples from the supply chain and logistics context.
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    http://hdl.handle.net/1853/59362
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    • Supply Chain and Logistics Institute Seminar Series [26]

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