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Designing and managing the supply chain

, , and . The McGraw-Hill/Irwin series in operations and decision sciences McGraw-Hill/Irwin, Boston, Mass. u.a., 2. ed edition, (2003)

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Learning to Optimize under Non-Stationarity., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1079-1087. PMLR, (2019)A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand., , , , and . Math. Oper. Res., 34 (3): 674-685 (2009)On Policies for Single-leg Revenue Management with Limited Demand Information., , and . CoRR, (2018)Light traffic heuristic for anM/G/1 queue with limited inventory., and . Ann. Oper. Res., 40 (1): 371-380 (1992)Probabilistic Analysis and Practical Algorithms for the Flow Shop Weighted Completion Time Problem., and . Oper. Res., 46 (6): 872-882 (1998)Sobolev Norm Learning Rates for Conditional Mean Embeddings., , and . CoRR, (2021)Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31788-31799. PMLR, (2023)Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3086-3097. PMLR, (2023)Learning Mixed Multinomial Logits with Provable Guarantees., , and . NeurIPS, (2022)Multiship Crane Sequencing with Yard Congestion Constraints., , and . Transp. Sci., 44 (1): 98-115 (2010)