Supply chain analytics : concepts, techniques and applications / Kurt Y. Liu.
2022
HD38.5 .L58 2022eb
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Details
Title
Supply chain analytics : concepts, techniques and applications / Kurt Y. Liu.
Author
ISBN
9783030922245 (electronic bk.)
3030922243 (electronic bk.)
9783030922238
3030922235
3030922243 (electronic bk.)
9783030922238
3030922235
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).
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Table of Contents
Data-drive Supply Chains & Intro to Python
Data Manipulation
Data Visualization
Customer Management
Supply Management
Warehouse & Inventory Management
Demand Management
Logistics Management.
Data Manipulation
Data Visualization
Customer Management
Supply Management
Warehouse & Inventory Management
Demand Management
Logistics Management.