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Stability of a Queue Fed by Scheduled Traffic at Critical Loading Operations Research (IF 2.2) Pub Date : 2024-09-16 Victor F. Araman, Peter W. Glynn
Operations Research, Ahead of Print.
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On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs Operations Research (IF 2.2) Pub Date : 2024-09-13 Calum MacRury, Will Ma, Nathaniel Grammel
Operations Research, Ahead of Print.
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Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management Operations Research (IF 2.2) Pub Date : 2024-09-13 Xin Chen, Niao He, Yifan Hu, Zikun Ye
Operations Research, Ahead of Print.
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Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting Operations Research (IF 2.2) Pub Date : 2024-09-09 Joaquim Dias Garcia, Alexandre Street, Tito Homem-de-Mello, Francisco D. Muñoz
Operations Research, Ahead of Print.
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Data-Driven Clustering and Feature-Based Retail Electricity Pricing with Smart Meters Operations Research (IF 2.2) Pub Date : 2024-09-03 N. Bora Keskin, Yuexing Li, Nur Sunar
Operations Research, Ahead of Print.
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Technical Note: Dynamic Duopolistic Competition with Sticky Prices Operations Research (IF 2.2) Pub Date : 2024-09-02 Steven L. Heston, Bo Hu
Operations Research, Ahead of Print.
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A Reciprocity Between Tree Ensemble Optimization and Multilinear Optimization Operations Research (IF 2.2) Pub Date : 2024-08-29 Jongeun Kim, Jean-Philippe P. Richard, Mohit Tawarmalani
Operations Research, Ahead of Print.
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Error Propagation in Asymptotic Analysis of the Data-Driven (s, S) Inventory Policy Operations Research (IF 2.2) Pub Date : 2024-08-26 Xun Zhang, Zhi-Sheng Ye, William B. Haskell
Operations Research, Ahead of Print.
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Deepest Cuts for Benders Decomposition Operations Research (IF 2.2) Pub Date : 2024-08-23 Mojtaba Hosseini, John Turner
Operations Research, Ahead of Print.
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Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games Operations Research (IF 2.2) Pub Date : 2024-08-21 Roberto Cominetti, Marco Scarsini, Marc Schröder, Nicolas E. Stier-Moses
Operations Research, Ahead of Print.
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Monte Carlo Estimation of CoVaR Operations Research (IF 2.2) Pub Date : 2024-08-21 Weihuan Huang, Nifei Lin, L. Jeff Hong
Operations Research, Ahead of Print.
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Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers Operations Research (IF 2.2) Pub Date : 2024-08-20 Shuaijie Qian, Xizhi Su, Chao Zhou
Operations Research, Ahead of Print.
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Search in the Dark: The Case with Recall and Gaussian Learning Operations Research (IF 2.2) Pub Date : 2024-08-16 Manel Baucells, Saša Zorc
Operations Research, Ahead of Print.
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Incentive-Aware Models of Financial Networks Operations Research (IF 2.2) Pub Date : 2024-08-12 Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar
Operations Research, Ahead of Print.
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Dynamic Control of Service Systems with Returns: Application to Design of Postdischarge Hospital Readmission Prevention Programs Operations Research (IF 2.2) Pub Date : 2024-08-06 Timothy C. Y. Chan, Simon Y. Huang, Vahid Sarhangian
Operations Research, Ahead of Print.
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Strong Optimal Classification Trees Operations Research (IF 2.2) Pub Date : 2024-07-31 Sina Aghaei, Andrés Gómez, Phebe Vayanos
Operations Research, Ahead of Print.
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Information Relaxation and a Duality-Driven Algorithm for Stochastic Dynamic Programs Operations Research (IF 2.2) Pub Date : 2024-07-31 Nan Chen, Xiang Ma, Yanchu Liu, Wei Yu
Operations Research, Ahead of Print.
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Editorial Board Operations Research (IF 2.2) Pub Date : 2024-07-25
Operations Research, Volume 72, Issue 4, Page C2-C3, July-August 2024.
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In This Issue Operations Research (IF 2.2) Pub Date : 2024-07-25
Operations Research, Volume 72, Issue 4, Page iii-vi, July-August 2024.
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Side-Constrained Dynamic Traffic Equilibria Operations Research (IF 2.2) Pub Date : 2024-07-19 Lukas Graf, Tobias Harks
Operations Research, Ahead of Print.
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Asymptotic Scaling of Optimal Cost and Asymptotic Optimality of Base-Stock Policy in Several Multidimensional Inventory Systems Operations Research (IF 2.2) Pub Date : 2024-07-17 Jinzhi Bu, Xiting Gong, Xiuli Chao
Operations Research, Ahead of Print.
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Logarithmic Regret in Multisecretary and Online Linear Programs with Continuous Valuations Operations Research (IF 2.2) Pub Date : 2024-07-17 Robert L. Bray
Operations Research, Ahead of Print.
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Nonadaptive Stochastic Score Classification and Explainable Half-Space Evaluation Operations Research (IF 2.2) Pub Date : 2024-07-18 Rohan Ghuge, Anupam Gupta, Viswanath Nagarajan
Operations Research, Ahead of Print.
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Risk-Adaptive Local Decision Rules Operations Research (IF 2.2) Pub Date : 2024-07-15 Johannes O. Royset, Miguel A. Lejeune
Operations Research, Ahead of Print.
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A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization Operations Research (IF 2.2) Pub Date : 2024-07-15 Luhao Zhang, Jincheng Yang, Rui Gao
Operations Research, Ahead of Print.
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Improving Blockchain Consistency Bound by Assigning Weights to Random Blocks Operations Research (IF 2.2) Pub Date : 2024-07-15 Xueping Gong, Qing Zhang, Huizhong Li, Jiheng Zhang
Operations Research, Ahead of Print.
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Technical Note—Near-Optimal Bayesian Online Assortment of Reusable Resources Operations Research (IF 2.2) Pub Date : 2024-07-15 Yiding Feng, Rad Niazadeh, Amin Saberi
Operations Research, Ahead of Print.
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Hardness of Pricing Routes for Two-Stage Stochastic Vehicle Routing Problems with Scenarios Operations Research (IF 2.2) Pub Date : 2024-07-16 Matheus J. Ota, Ricardo Fukasawa
Operations Research, Ahead of Print.
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Business Model Choice for Heavy Equipment Manufacturers Operations Research (IF 2.2) Pub Date : 2024-07-11 Philippe Blaettchen, Niyazi Taneri, Sameer Hasija
Operations Research, Ahead of Print.
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Audit and Remediation Strategies in the Presence of Evasion Capabilities Operations Research (IF 2.2) Pub Date : 2024-07-10 Shouqiang Wang, Francis de Véricourt, Peng Sun
Operations Research, Ahead of Print.
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Optimal No-Regret Learning in Repeated First-Price Auctions Operations Research (IF 2.2) Pub Date : 2024-07-08 Yanjun Han, Tsachy Weissman, Zhengyuan Zhou
Operations Research, Ahead of Print.
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Dynamic Allocation of Reusable Resources: Logarithmic Regret in Overloaded Networks Operations Research (IF 2.2) Pub Date : 2024-07-05 Xinchang Xie, Itai Gurvich, Simge Küçükyavuz
Operations Research, Ahead of Print.
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Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes Operations Research (IF 2.2) Pub Date : 2024-06-28 Andrew Daw, Brian Fralix, Jamol Pender
Operations Research, Ahead of Print.
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Optimal Regularized Online Allocation by Adaptive Re-Solving Operations Research (IF 2.2) Pub Date : 2024-06-28 Wanteng Ma, Ying Cao, Danny H. K. Tsang, Dong Xia
Operations Research, Ahead of Print.
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Asymptotically Optimal Clearing Control of Backlogs in Multiclass Processing Systems Operations Research (IF 2.2) Pub Date : 2024-06-20 Lun Yu, Seyed Iravani, Ohad Perry
Operations Research, Ahead of Print.
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Learning to Persuade on the Fly: Robustness Against Ignorance Operations Research (IF 2.2) Pub Date : 2024-06-18 You Zu, Krishnamurthy Iyer, Haifeng Xu
Operations Research, Ahead of Print.
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Pricing Optimal Outcomes in Coupled and Non-convex Markets: Theory and Applications to Electricity Markets Operations Research (IF 2.2) Pub Date : 2024-06-11 Mete Şeref Ahunbay, Martin Bichler, Johannes Knörr
Operations Research, Ahead of Print.
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Optimal Dynamic Mechanism Under Customer Search Operations Research (IF 2.2) Pub Date : 2024-06-11 Zhenyu Hu, Yangge Xiao
Operations Research, Ahead of Print.
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Price Interpretability of Prediction Markets: A Convergence Analysis Operations Research (IF 2.2) Pub Date : 2024-06-10 Jianjun Gao, Zizhuo Wang, Weiping Wu, Dian Yu
Operations Research, Ahead of Print.
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Boundary Effects in the Diffusion of New Products on Cartesian Networks Operations Research (IF 2.2) Pub Date : 2024-06-10 Gadi Fibich, Tomer Levin, Kenneth T. Gillingham
Operations Research, Ahead of Print.
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Robust Financial Networks Operations Research (IF 2.2) Pub Date : 2024-06-07 Feihong Hu, Daniel Mitchell, Stathis Tompaidis
Operations Research, Ahead of Print.
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Dynamic Relocations in Car-Sharing Networks Operations Research (IF 2.2) Pub Date : 2024-06-06 Mahsa Hosseini, Joseph Milner, Gonzalo Romero
Operations Research, Ahead of Print.
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Optimal Cash Management with Payables Finance Operations Research (IF 2.2) Pub Date : 2024-06-04 Xiaoyue Yan, Li Chen, Xiaobo Ding
Operations Research, Ahead of Print.
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Tight Guarantees for Multiunit Prophet Inequalities and Online Stochastic Knapsack Operations Research (IF 2.2) Pub Date : 2024-06-03 Jiashuo Jiang, Will Ma, Jiawei Zhang
Operations Research, Ahead of Print.
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The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation Operations Research (IF 2.2) Pub Date : 2024-05-30 Anna Winnicki, Joseph Lubars, Michael Livesay, R. Srikant
Operations Research, Ahead of Print.
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Editorial Board Operations Research (IF 2.2) Pub Date : 2024-05-30
Operations Research, Volume 72, Issue 3, Page C2-C3, May-June 2024.
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In This Issue Operations Research (IF 2.2) Pub Date : 2024-05-30
Operations Research, Volume 72, Issue 3, Page iii-vi, May-June 2024.
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Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback Operations Research (IF 2.2) Pub Date : 2024-05-23 Michael Jordan, Tianyi Lin, Zhengyuan Zhou
Operations Research, Ahead of Print.
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On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design Operations Research (IF 2.2) Pub Date : 2024-05-16 Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes
Classical Bayesian mechanism design relies on the common prior assumption, but the common prior is often not available in practice. We study the design of prior-independent mechanisms that relax this assumption: The seller is selling an indivisible item to n buyers such that the buyers’ valuations are drawn from a joint distribution that is unknown to both the buyers and the seller, buyers do not need
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Online Learning for Constrained Assortment Optimization Under Markov Chain Choice Model Operations Research (IF 2.2) Pub Date : 2024-05-15 Shukai Li, Qi Luo, Zhiyuan Huang, Cong Shi
Operations Research, Ahead of Print.
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Matching Impatient and Heterogeneous Demand and Supply Operations Research (IF 2.2) Pub Date : 2024-05-15 Angelos Aveklouris, Levi DeValve, Maximiliano Stock, Amy Ward
Operations Research, Ahead of Print.
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Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods Operations Research (IF 2.2) Pub Date : 2024-05-07 Miguel A. Lejeune, Wenbo Ma
We propose a new stochastic emergency network design model that uses a fleet of drones to quickly deliver naloxone in response to opioid overdoses. The network is represented as a collection of M/G/K queueing systems in which the capacity K of each system is a decision variable, and the service time is modeled as a decision-dependent random variable. The model is a queuing-based optimization problem
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Market Entry and Competition Under Network Effects Operations Research (IF 2.2) Pub Date : 2024-04-29 Yinbo Feng, Ming Hu
We consider a three-stage game in which, first, a large number of potential firms make entry decisions, then those who choose to stay in the market decide on the investment (quality) level in each product, and last, customers with heterogeneous preferences arrive sequentially to make (random) purchase decisions based on product quality and historical sales under the network effect according to a discrete
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Pricing and Positioning of Horizontally Differentiated Products with Incomplete Demand Information Operations Research (IF 2.2) Pub Date : 2024-04-29 Arnoud V. den Boer, Boxiao Chen, Yining Wang
We consider the problem of determining the optimal prices and product configurations of horizontally differentiated products when customers purchase according to a locational (Hotelling) choice model and where the problem parameters are initially unknown to the decision maker. Both for the single-product and multiple-product setting, we propose a data-driven algorithm that learns the optimal prices
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Adaptive Lagrangian Policies for a Multiwarehouse, Multistore Inventory System with Lost Sales Operations Research (IF 2.2) Pub Date : 2024-04-16 Xiuli Chao, Stefanus Jasin, Sentao Miao
We consider the inventory control problem of a multiwarehouse, multistore system over a time horizon when the warehouses receive no external replenishment. This problem is prevalent in retail settings, and it is referred to in the work of [Jackson PL (1988) Stock allocation in a two-echelon distribution system or “what to do until your ship comes in.” Management Sci. 34(7):880–895] as the problem of
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Projected Inventory-Level Policies for Lost Sales Inventory Systems: Asymptotic Optimality in Two Regimes Operations Research (IF 2.2) Pub Date : 2024-04-01 Willem van Jaarsveld, Joachim Arts
Operations Research, Ahead of Print.
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Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games Operations Research (IF 2.2) Pub Date : 2024-04-02 Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
This paper makes progress toward learning Nash equilibria in two-player, zero-sum Markov games from offline data. Specifically, consider a γ-discounted, infinite-horizon Markov game with S states, in which the max-player has A actions and the min-player has B actions. We propose a pessimistic model–based algorithm with Bernstein-style lower confidence bounds—called the value iteration with lower confidence
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Assigning and Scheduling Generalized Malleable Jobs Under Subadditive or Submodular Processing Speeds Operations Research (IF 2.2) Pub Date : 2024-03-28 Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos
Malleable scheduling is a model that captures the possibility of parallelization to expedite the completion of time-critical tasks. A malleable job can be allocated and processed simultaneously on multiple machines, occupying the same time interval on all these machines. We study a general version of this setting, in which the functions determining the joint processing speed of machines for a given
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Optimal Auction Design with Deferred Inspection and Reward Operations Research (IF 2.2) Pub Date : 2024-03-28 Saeed Alaei, Alexandre Belloni, Ali Makhdoumi, Azarakhsh Malekian
Consider a mechanism run by an auctioneer who can use both payment and inspection instruments to incentivize agents. The timeline of the events is as follows. Based on a prespecified allocation rule and the reported values of agents, the auctioneer allocates the item and secures the reported values as deposits. The auctioneer then inspects the values of agents and, using a prespecified reward rule
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To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment Operations Research (IF 2.2) Pub Date : 2024-03-27 John R. Birge, Hongfan (Kevin) Chen, N. Bora Keskin, Amy Ward
Operations Research, Ahead of Print.