The Elements of Joint Learning and Optimization in Operations Management
Springer Nature Switzerland
ISBN 978-3-031-01926-5
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Bibliografische Daten
eBook. PDF
2022
XIII, 444 p. 21 illus., 10 illus. in color..
In englischer Sprache
Umfang: 444 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-01926-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Springer Series in Supply Chain Management
Produktbeschreibung
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.
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