| 书目名称 | Supply Chain Analytics | | 副标题 | Concepts, Techniques | | 编辑 | Kurt Y. Liu | | 视频video | | | 概述 | Offers a business-focused overview of the applications of data analytics to supply chain management.Includes concepts and techniques needed for data analysis and decision making in modern supply chain | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Textbook 2022 | | 关键词 | supply chain analytics; supply chains; business; management; data science; logistics management; business | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-92224-5 | | isbn_softcover | 978-3-030-92223-8 | | isbn_ebook | 978-3-030-92224-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:11:21
