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Books > Computing & IT > Applications of computing > Databases

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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

Repayment Terms: R262 pm x 12*

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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*

Expected to ship within 9 - 17 working days

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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 Promotions
LSN:	3-03-101925-3
Barcode:	9783031019258