Supply Chain Analytics

Concepts, Techniques and Applications

Kurt Y. Liu

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Paperback

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English

Springer Nature Switzerland AG
08 April 2022

Management of specific areas; Business mathematics & systems; Business applications

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.

By: Kurt Y. Liu
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2022
Dimensions: Height: 235mm, Width: 155mm,
Weight: 611g
ISBN: 9783030922238
ISBN 10: 3030922235
Pages: 377
Publication Date: 08 April 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Kurt Y. Liu is an Associate Professor of Supply Chain Analytics at the Adam Smith Business School, University of Glasgow. He teaches Executive, MBA, graduate and undergraduate students on supply chain, logistics and operations management. His main research interests include supply chain analytics, supply network configuration and sustainable SCM. Kurt was educated in New Zealand, Australia, the US and the UK. He has taught in China, Dubai, Singapore and the UK.