This innovative new core textbook, written by an experienced professor
and practitioner in supply chain management, offers a business-focused
overview of the applications of data analytics and machine learning to
supply chain management. Accessible yet rigorous, this text introduces
students to the relevant concepts and techniques needed for data
analysis and decision making in modern supply chains and enables them to
develop proficiency in a popular and powerful programming software.
Suitable for use on upper-level undergraduate, postgraduate and MBA
courses in supply chain management, it covers all of the major supply
chain processes, including managing supply and demand, warehousing and
inventory control, transportation and route optimization. Each chapter
comes with practical real-world examples drawn from a range of business
contexts, including Amazon and Starbucks, case study discussion
questions, computer-assisted exercises and programming projects.