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The elements of joint learning and o...

Chen, Xi.

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The elements of joint learning and optimization in operations management

Record Type:	Electronic resources : Monograph/item
Title/Author:	The elements of joint learning and optimization in operations management/ edited by Xi Chen, Stefanus Jasin, Cong Shi.
other author:	Chen, Xi.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 444 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part 1: Generic Tools -- Chapter 1: The Stochastic Multi-armed Bandit Problem -- Chapter 2: Reinforcement Learning -- Chapter 3: Optimal Learning and Optimal Design -- Part 2: Price Optimization -- Chapter 4: Dynamic Pricing with Demand Learning: Emerging Topics and State of the Art -- Chapter 5: Learning and Pricing with Inventory Constraints -- Chapter 6: Dynamic Pricing and Demand Learning in Nonstationary Environments -- Chapter 7: Pricing with High-Dimensional Data -- Part 3: Assortment Optimization -- Chapter 8: Nonparametric Estimation of Choice Models -- Chapter 9: The MNL-Bandit Problem -- Chapter 10: Dynamic Assortment Optimization: Beyond MNL Model -- Part 4: Inventory Optimization -- Chapter 11: Inventory Control with Censored Demand -- Chapter 12: Joint Pricing and Inventory Control with Demand Learning -- Chapter 13: Optimization in the Small-Data, Large-Scale Regime -- Part 5: Healthcare Operations -- Chapter 14: Bandit Procedures for Designing Patient-Centric Clinical Trials -- Chapter 15: Dynamic Treatment Regimes.
Contained By:	Springer Nature eBook
Subject:	Production management. -
Online resource:	https://doi.org/10.1007/978-3-031-01926-5
ISBN:	9783031019265

The elements of joint learning and optimization in operations management
The elements of joint learning and optimization in operations management[electronic resource] /edited by Xi Chen, Stefanus Jasin, Cong Shi. - Cham :Springer International Publishing :2022. - xiii, 444 p. :ill. (some col.), digital ;24 cm. - Springer series in supply chain management,v. 182365-6409 ;. - Springer series in supply chain management ;v. 18..

Part 1: Generic Tools -- Chapter 1: The Stochastic Multi-armed Bandit Problem -- Chapter 2: Reinforcement Learning -- Chapter 3: Optimal Learning and Optimal Design -- Part 2: Price Optimization -- Chapter 4: Dynamic Pricing with Demand Learning: Emerging Topics and State of the Art -- Chapter 5: Learning and Pricing with Inventory Constraints -- Chapter 6: Dynamic Pricing and Demand Learning in Nonstationary Environments -- Chapter 7: Pricing with High-Dimensional Data -- Part 3: Assortment Optimization -- Chapter 8: Nonparametric Estimation of Choice Models -- Chapter 9: The MNL-Bandit Problem -- Chapter 10: Dynamic Assortment Optimization: Beyond MNL Model -- Part 4: Inventory Optimization -- Chapter 11: Inventory Control with Censored Demand -- Chapter 12: Joint Pricing and Inventory Control with Demand Learning -- Chapter 13: Optimization in the Small-Data, Large-Scale Regime -- Part 5: Healthcare Operations -- Chapter 14: Bandit Procedures for Designing Patient-Centric Clinical Trials -- Chapter 15: Dynamic Treatment Regimes.

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.

ISBN: 9783031019265

Standard No.: 10.1007/978-3-031-01926-5doiSubjects--Topical Terms:

518951
Production management.

LC Class. No.: TS155 / .E54 2022

Dewey Class. No.: 658.5

The elements of joint learning and optimization in operations management
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245 0 4 $a The elements of joint learning and optimization in operations management $h [electronic resource] / $c edited by Xi Chen, Stefanus Jasin, Cong Shi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiii, 444 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in supply chain management, $x 2365-6409 ; $v v. 18
505 0 $a Part 1: Generic Tools -- Chapter 1: The Stochastic Multi-armed Bandit Problem -- Chapter 2: Reinforcement Learning -- Chapter 3: Optimal Learning and Optimal Design -- Part 2: Price Optimization -- Chapter 4: Dynamic Pricing with Demand Learning: Emerging Topics and State of the Art -- Chapter 5: Learning and Pricing with Inventory Constraints -- Chapter 6: Dynamic Pricing and Demand Learning in Nonstationary Environments -- Chapter 7: Pricing with High-Dimensional Data -- Part 3: Assortment Optimization -- Chapter 8: Nonparametric Estimation of Choice Models -- Chapter 9: The MNL-Bandit Problem -- Chapter 10: Dynamic Assortment Optimization: Beyond MNL Model -- Part 4: Inventory Optimization -- Chapter 11: Inventory Control with Censored Demand -- Chapter 12: Joint Pricing and Inventory Control with Demand Learning -- Chapter 13: Optimization in the Small-Data, Large-Scale Regime -- Part 5: Healthcare Operations -- Chapter 14: Bandit Procedures for Designing Patient-Centric Clinical Trials -- Chapter 15: Dynamic Treatment Regimes.
520 $a 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.
650 0 $a Production management. $3 518951
650 0 $a Business logistics. $3 648045
650 0 $a Pricing. $3 646182
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650 2 4 $a Complex Systems. $3 1566441
650 2 4 $a Big Data. $3 3134868
650 2 4 $a IT in Business. $3 2114922
700 1 $a Chen, Xi. $3 1017731
700 1 $a Jasin, Stefanus. $3 3605391
700 1 $a Shi, Cong. $3 3605392
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773 0 $t Springer Nature eBook
830 0 $a Springer series in supply chain management ; $v v. 18. $3 3605393
856 4 0 $u https://doi.org/10.1007/978-3-031-01926-5
950 $a Business and Management (SpringerNature-41169)