Rutgers University 3 credits Supply Chain Management
This course showcases real life applications of data analytics (descriptive, predictive and prescriptive) in various fields of supply chain management, such as forecasting and inventory management, sales and operations planning, transportation, logistics and fulfillment, purchasing and supply management, supply chain risk management, etc. in manufacturing, trade and service industries. Students learn to define the right data set, ask the right questions to drive supply chain efficiency and business value, and use the right models and tools to develop data-driven decisions. Topics includes demand forecasting for new products, product/service-line selection and rationalization, transportation analytics, fulfillment diagnostics in logistics systems, sales and operations analytics in production, inventory and resource management, spend analytics and supplier selection, supply chain risk management, and product development analytics. Software packages such as R and Python will be utilized.
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