Supply Chain Analytics - Concepts, Techniques and Applications (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	April 2022
First published:	2022
Authors:	Kurt Y. Liu
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	377
Edition:	1st ed. 2022
ISBN-13:	978-3-03-092223-8
Categories:	Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management Books > Business & Economics > Business & management > Business mathematics & systems > General Promotions
LSN:	3-03-092223-5
Barcode:	9783030922238

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