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The Elements of Joint Learning and Optimization in Operations Management.
・ISBN 978-3-031-01925-8 hard EUR 119.99
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| 著者・編者 | Chen, Xi / Jasin, Stefanus / Shi, Cong (eds.), |
|---|---|
| シリーズ | Springer Series in Supply Chain Management |
| 出版社 | (Springer, GW) |
| 出版年月 | 2022.08 |
| ページ数 | 488 pp. |
| 言語 | ENG |
| ニュース番号 | <682-331> |
解説
This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.