Supply Chain Analytics

Catalog description

Technology and analytics have changed the way we manage supply chains today. Deals with data analytics applied to supply chain processes such as demand forecasting, inventory management, supply chain planning, transportation, distribution, network design, sustainability, pricing and revenue management. Develop analytical skills in predictive data mining, machine learning, optimization and Monte Carlo simulation techniques. These techniques give students a framework to support managerial decision-making in supply chain management. Utilize Excel (along with add-ins) and introduce Python for interfacing with other supply chain software. Demonstrate the applicability of artificial intelligence to specific topics covered in this course.