SCM 380 Data Mining for Supply Chain Management
Emphasizes the process of discovering hidden patterns and relationships in large amounts of data. Topical coverage includes techniques such as data visualization, decision tree, forecasting, neural network, and Kohonen network. Covers a wide range of applications in the areas of supply chain such as fraud detection, tracking vendor performance, examining distribution network efficiency, and forecasting demands in goods. Prerequisite: SCM 200.