Supply chain analytics: concepts, techniques and applications
Material type: TextPublication details: Palgrave Macmillan Switzerland 2022Description: xix, 377 pISBN:- 9783030922238
- 658.70285 LIU
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 658.70285 LIU (Browse shelf(Opens below)) | 1 | Checked out | 04/17/2025 | 005277 |
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.
(https://link.springer.com/book/10.1007/978-3-030-92224-5#about-this-book)
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