Supply Chain Analytics

• Explain fundamental terminology and concepts in supply chain management and Supply Chain Analytics (SCA)
• Describe the data sources that provide the input needed for different SCA tools and interpret the output provided by SCA tools
• Analyze supply chain planning and design problems within an SCA framework
• Assess the applicability of SCA in different situations
• Apply and compare SCA tools to solve supply chain planning and design problems
• Use analytical models and software tools to solve strategic and operational supply chain problems
• Apply methods and quantitative analysis to develop insights and make strategic and operational decisions
• Discuss the impact SCA can have on the performance of supply chains
• Describe how SCA can be used to gather important managerial insights about improving supply chain performance

This course will introduce students to complex networks consisting of suppliers, manufacturers, distributors, retailers, etc., that collaborate in bringing a product or service to the customer. It will be shown how activities within supply networks can be effectively designed, coordinated and integrated using SCA in order to increase efficiency, reduce costs, and improve customer service. An end-to-end view of supply chain management is therefore taken. On the operational side, students will use SCA for demand forecasting, production planning, inventory management, and order fulfillment. On the strategic and tactical side, SCA will be used for network design, logistics and transportation planning, supplier selection, supply contract design, outsourcing and vertical/horizontal collaboration. The SCA tools used will be drawn from a wide range of analytical domains, including probability theory, statistics, machine learning, mathematical programming and game theory.

42101/02402/02403/42402/42587, (or similar introductory courses in OR, statistics and SCM). It is expected that participants have some basic programming skills in languages such as R, Python, Matlab, Julia, or similar.

Lectures, exercises, case assignments and project work