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The Elements of Joint Learning and Optimization in Operations Management (Springer Series in Supply Chain Management)

By: Cong Shi (Edited by) , Stefanus Jasin (Edited by) , Xi Chen (Edited by)

1 in stock

Ksh 22,800.00

Format: Hardback or Cased Book

ISBN-10: 3031019253

ISBN-13: 9783031019258

Collection / Series: Springer Series in Supply Chain Management

Collection Type: Publisher collection

Edition statement: 1st ed. 2022

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 21st, 2022

Publication Status: Active

Product extent: 444 Pages

Weight: 852.00 grams

Dimensions (height x width x thickness): 24.20 x 16.40 x 3.20 cms

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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.

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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