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010   $a3-031-01926-1
024 7 $a10.1007/978-3-031-01926-5
035   $a(CKB)5850000000078389
035   $a(MiAaPQ)EBC7102135
035   $a(Au-PeEL)EBL7102135
035   $a(PPN)264956842
035   $a(OCoLC)1345580250
035   $a(DE-He213)978-3-031-01926-5
035   $a(EXLCZ)995850000000078389
100   $a20220920d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe Elements of Joint Learning and Optimization in Operations Management /$fedited by Xi Chen, Stefanus Jasin, Cong Shi
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (444 pages)
225 1 $aSpringer Series in Supply Chain Management,$x2365-6409 ;$v18
311 08$a3-031-01925-3 
327   $aPart 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.
330   $aThis book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.
410  0$aSpringer Series in Supply Chain Management,$x2365-6409 ;$v18
606   $aProduction management
606   $aSystem theory
606   $aBig data
606   $aBusiness information services
606   $aOperations Management
606   $aComplex Systems
606   $aBig Data
606   $aIT in Business
615  0$aProduction management.
615  0$aSystem theory.
615  0$aBig data.
615  0$aBusiness information services.
615 14$aOperations Management.
615 24$aComplex Systems.
615 24$aBig Data.
615 24$aIT in Business.
676   $a658.7
676   $a658.5
702   $aJasin$b Stefanus
702   $aShi$b Cong
702   $aChen$b Xi
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910595059703321
996   $aThe Elements of Joint Learning and Optimization in Operations Management$92915851
997   $aUNINA