| 书目名称 | Supply Chain Analytics | | 副标题 | An Uncertainty Model | | 编辑 | Işık Biçer | | 视频video | | | 概述 | Introduces a unique risk analysis framework and analytical models to manage supply chain risks.Includes access to various supplementary material including an online interactive tool in Python.Presents | | 丛书名称 | Springer Texts in Business and Economics | | 图书封面 |  | | 描述 | .This textbook offers a detailed account of analytical models used to solve complex supply chain problems. It introduces a unique risk analysis framework that helps the reader understand the sources of uncertainties and use appropriate models to improve decisions in supply chains. This framework illustrates the complete supply chain for a product and demonstrates the supply chain‘s exposure to demand, supply, inventory, and financial risks. .Step by step, this book provides a detailed examination of analytical methods that optimize operational decisions under different types of uncertainty. It discusses stochastic inventory models, introduces uncertainty modeling methods, and explains methods for managing uncertainty. To help readers deepen their understanding, it includes access to various supplementary material including an online interactive tool in Python.. .This book is intended for undergraduate and graduate students of supply chain management with a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.. | | 出版日期 | Textbook 2023 | | 关键词 | Supply Chain Management; Business Analytics; Inventory Management; Supply Chain Risk Management; Supply | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-30347-0 | | isbn_softcover | 978-3-031-30349-4 | | isbn_ebook | 978-3-031-30347-0Series ISSN 2192-4333 Series E-ISSN 2192-4341 | | issn_series | 2192-4333 | | 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 18:59:56
