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Supply Chain Analytics = Concepts, Techniques and Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Supply Chain Analytics/ by Kurt Y. Liu.
Reminder of title:
Concepts, Techniques and Applications /
Author:
Liu, Kurt Y.
Description:
XIX, 377 p. 165 illus., 158 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Production management. -
Online resource:
https://doi.org/10.1007/978-3-030-92224-5
ISBN:
9783030922245
Supply Chain Analytics = Concepts, Techniques and Applications /
Liu, Kurt Y.
Supply Chain Analytics
Concepts, Techniques and Applications /[electronic resource] :by Kurt Y. Liu. - 1st ed. 2022. - XIX, 377 p. 165 illus., 158 illus. in color.online resource.
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.
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.
ISBN: 9783030922245
Standard No.: 10.1007/978-3-030-92224-5doiSubjects--Topical Terms:
566447
Production management.
LC Class. No.: TS155-194
Dewey Class. No.: 658.5
Supply Chain Analytics = Concepts, Techniques and Applications /
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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.
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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.
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