Supply chain analytics : concepts, techniques and applications / Kurt Y. Liu.
Liu, Kurt Y., author.
2022
HD38.5 .L58 2022eb
Available Online

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Title Supply chain analytics : concepts, techniques and applications / Kurt Y. Liu.
Author Liu, Kurt Y., author.
ISBN 9783030922245 (electronic bk.)
3030922243 (electronic bk.)
9783030922238
3030922235
DOI https://doi.org/10.1007/978-3-030-92224-5
Published Cham : Palgrave Macmillan, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color)
Item Number 10.1007/978-3-030-92224-5 doi
Call Number HD38.5 .L58 2022eb
Dewey Decimal Classification 658.70285
Summary "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."--Provided by publisher.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (ProQuest Ebook Central, viewed on January 13, 2023).
Available in Other Form SUPPLY CHAIN ANALYTICS.
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Record Appears in Online Resources > Ebooks
All Resources
Data-drive Supply Chains & Intro to Python
Data Manipulation
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Customer Management
Supply Management
Warehouse & Inventory Management
Demand Management
Logistics Management.

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