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The Elements of Joint Learning and Optimization in Operations Management

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Éditeur :

Springer


Collection :

Springer Series in Supply Chain Management

Paru le : 2022-09-20

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Description

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.
Pages
444 pages
Collection
Springer Series in Supply Chain Management
Parution
2022-09-20
Marque
Springer
EAN papier
9783031019258
EAN PDF
9783031019265
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
6584 Ko
Prix
105,49 €
EAN EPUB
9783031019265
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
18268 Ko
Prix
105,49 €

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