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The Elements of Joint Learning and Optimization in Operations Management

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Elements of Joint Learning and Optimization in Operations Management/ edited by Xi Chen, Stefanus Jasin, Cong Shi.
其他作者:	Shi, Cong.
面頁冊數:	XIII, 444 p. 21 illus., 10 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	IT in Business. -
電子資源:	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. - 1st ed. 2022. - XIII, 444 p. 21 illus., 10 illus. in color.online resource. - Springer Series in Supply Chain Management,182365-6409 ;. - Springer Series in Supply Chain Management,1.

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:

1064965
IT in Business.

LC Class. No.: TS155-194

Dewey Class. No.: 658.5

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