Supply Chain Analytics

Concepts, Techniques and Applications

Supply Chain Analytics

Concepts, Techniques and Applications

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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.



Chapter 1: Introduction.- Chapter 2: Data-drive Supply Chains & Intro to Python.- Chapter 3: Data Manipulation.- Chapter 4: Data Visualization.- Chapter 5: Customer Management.- Chapter 6: Supply Management.- Chapter 7: Warehouse & Inventory Management.- Chapter 8: Demand Management.- Chapter 9: Logistics Management.

ISBN 978-3-030-92223-8
Artikelnummer 9783030922238
Medientyp Buch
Auflage 1st ed. 2022
Copyrightjahr 2022
Verlag Springer, Berlin
Umfang XIX, 377 Seiten
Abbildungen XIX, 377 p. 165 illus., 158 illus. in color.
Sprache Englisch