Supply Chain Analytics: Concepts, Techniques and Applications

Kurt Y. Liu

doi:10.1007/978-3-030-92224-5

Supply Chain Analytics: Concepts, Techniques and Applications

Kurt Y. Liu

Engineering Systems & Supply Chain Management

Research output: Book/Report › Book

Abstract

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.

Original language	English
Publisher	Palgrave Macmillan
Number of pages	377
Edition	1st
ISBN (Electronic)	978-3-030-92224-5
ISBN (Print)	978-3-030-92223-8
DOIs	https://doi.org/10.1007/978-3-030-92224-5
Publication status	Published - 8 Apr 2022

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10.1007/978-3-030-92224-5

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AB - 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.

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Supply Chain Analytics: Concepts, Techniques and Applications

Abstract

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