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The Elements of Joint Learning and Optimization in Operations Management (Hardcover, 1st ed. 2022) Loot Price: R2,796
Discovery Miles 27 960
The Elements of Joint Learning and Optimization in Operations Management (Hardcover, 1st ed. 2022): XI Chen, Stefanus Jasin,...

The Elements of Joint Learning and Optimization in Operations Management (Hardcover, 1st ed. 2022)

XI Chen, Stefanus Jasin, Cong Shi

Series: Springer Series in Supply Chain Management, 18

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Loot Price R2,796 Discovery Miles 27 960 | Repayment Terms: R262 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Series in Supply Chain Management, 18
Release date: September 2022
First published: 2022
Editors: XI Chen • Stefanus Jasin • Cong Shi
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 444
Edition: 1st ed. 2022
ISBN-13: 978-3-03-101925-8
Categories: Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 3-03-101925-3
Barcode: 9783031019258

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