The Elements of Joint Learning and Optimization in Operations Management / / edited by Xi Chen, Stefanus Jasin, Cong Shi
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| Titolo: |
The Elements of Joint Learning and Optimization in Operations Management / / edited by Xi Chen, Stefanus Jasin, Cong Shi
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (444 pages) |
| Disciplina: | 658.7 |
| 658.5 | |
| Soggetto topico: | Production management |
| System theory | |
| Big data | |
| Business information services | |
| Operations Management | |
| Complex Systems | |
| Big Data | |
| IT in Business | |
| Persona (resp. second.): | JasinStefanus |
| ShiCong | |
| ChenXi | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | The Elements of Joint Learning and Optimization in Operations Management |
| ISBN: | 3-031-01926-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910595059703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Series in Supply Chain Management, . 2365-6409 ; ; 18