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


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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Product 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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Springer Series in Supply Chain Management, 18

Release date

September 2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

444

Edition

1st ed. 2022

ISBN-13

978-3-03-101925-8

Barcode

9783031019258

Categories

LSN

3-03-101925-3



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