Operations Research

Article	Citations
Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization	58
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms	53
Simple Bayesian Algorithms for Best-Arm Identification	47
Ambulance Emergency Response Optimization in Developing Countries	46
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios	42
The Distributionally Robust Chance-Constrained Vehicle Routing Problem	41
Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees, or Both?	41
Optimization of Tree Ensembles	40
Technical Note—Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes	37
Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements	36
Parallel Bayesian Global Optimization of Expensive Functions	36
Robust Satisficing	35
Modeling and Design of Container Terminal Operations	34
Robust Data-Driven Vehicle Routing with Time Windows	33
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls	33
Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba	31
Technical Note—Constant-Order Policies for Lost-Sales Inventory Models with Random Supply Functions: Asymptotics and Heuristic	28
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection	28
Placement Optimization in Refugee Resettlement	27
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation	27
Dynamic Assortment Personalization in High Dimensions	27
Information Disclosure and Pricing Policies for Sales of Network Goods	27
Production Scheduling for Strategic Open Pit Mine Planning: A Mixed-Integer Programming Approach	25
Pooling Queues with Strategic Servers: The Effects of Customer Ownership	25
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework	25

The Benders Dual Decomposition Method	24
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing	24
Spatio-Temporal Pricing for Ridesharing Platforms	24
Spatial Capacity Planning	23
A Stochastic Integer Programming Approach to Air Traffic Scheduling and Operations	23
Imposing Contiguity Constraints in Political Districting Models	23
Technical Note—Two-Stage Sample Robust Optimization	23
Value of Information in Bayesian Routing Games	23
Duopoly Competition with Network Effects in Discrete Choice Models	22
Always Valid Inference: Continuous Monitoring of A/B Tests	22
Becoming Strategic: Endogenous Consumer Time Preferences and Multiperiod Pricing	22
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach	22
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions	22
Dynamic Scheduling of Multiclass Many-Server Queues with Abandonment: The Generalized cμ/h Rule	21
Nonparametric Pricing Analytics with Customer Covariates	21
Vessel Service Planning in Seaports	20
Wasserstein Distributionally Robust Optimization and Variation Regularization	20
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge	20
Assortment Optimization Under the Paired Combinatorial Logit Model	19
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach	19
Technical Note—Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models	19
Optimal Monitoring Schedule in Dynamic Contracts	18
Why Is Maximum Clique Often Easy in Practice?	18
Robust Contract Designs: Linear Contracts and Moral Hazard	18
Forecasting COVID-19 and Analyzing the Effect of Government Interventions	17
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation	17
Matching While Learning	17
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation	17
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization	17
Diffusion in Random Networks: Impact of Degree Distribution	17
Interior-Point-Based Online Stochastic Bin Packing	16
An Efficient Frontier Approach to Scoring and Ranking Hospital Performance	16
Technical Note—Static Pricing: Universal Guarantees for Reusable Resources	15
Bayesian Decision Making in Groups is Hard	15
Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments	15
Dynamic Inventory and Price Controls Involving Unknown Demand on Discrete Nonperishable Items	15
Nonconvex Low-Rank Tensor Completion from Noisy Data	15
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor	15
Multilevel Approaches for the Critical Node Problem	15
Optimal Portfolio Diversification via Independent Component Analysis	15
Fleet Coordination in Decentralized Humanitarian Operations Funded by Earmarked Donations	15
Nonstationary Bandits with Habituation and Recovery Dynamics	15
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty	14
Asymptotically Optimal Lagrangian Policies for Multi-Warehouse, Multi-Store Systems with Lost Sales	14
On the Optimal Design of a Bipartite Matching Queueing System	14
Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty	14
Large-Scale Bundle-Size Pricing: A Theoretical Analysis	14
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments	14
Calibration of Distributionally Robust Empirical Optimization Models	14
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints	14

The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems	14
Social and Monopoly Optimization in Observable Queues	13
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail	13
The Value of Coordination in Multimarket Bidding of Grid Energy Storage	13
Dynamic Stochastic Matching Under Limited Time	13
An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals	13
Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling	13
Star-Shaped Risk Measures	13
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator	13
Dark Matter in (Volatility and) Equity Option Risk Premiums	13
Technical Note—Dynamic Pricing with Heterogeneous Patience Levels	13
Data-Driven Pricing for a New Product	13
Online Allocation and Pricing: Constant Regret via Bellman Inequalities	13
Measuring Beliefs Under Ambiguity	12
Technical Note—Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models	12
M♮-Convexity and Its Applications in Operations	12
Disruption and Rerouting in Supply Chain Networks	12
Budget-Management Strategies in Repeated Auctions	12
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization	12
When Risk Perception Gets in the Way: Probability Weighting and Underprevention	12
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning	12
Optimizing Opinions with Stubborn Agents	11
Compressing Over-the-Counter Markets	11
Detecting Bots and Assessing Their Impact in Social Networks	11
Pricing with Samples	11
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation	11
Optimal Nonlinear Pricing in Social Networks Under Asymmetric Network Information	11
Robust Power Management via Learning and Game Design	11
Systemic Risk-Driven Portfolio Selection	11
Bayesian Incentive-Compatible Bandit Exploration	11
Offline Multi-Action Policy Learning: Generalization and Optimization	11
Deadlines, Offer Timing, and the Search for Alternatives	11
Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters	10
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing	10
Fair Resource Allocation in a Volatile Marketplace	10
Efficient Solution of Maximum-Entropy Sampling Problems	10
Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems	10
Optimal Contract for Machine Repair and Maintenance	10
Risk Management for Sustainable Sovereign Debt Financing	10
On the Stability of Redundancy Models	10
Game of Variable Contributions to the Common Good Under Uncertainty	10
Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls	10
The Discrete Moment Problem with Nonconvex Shape Constraints	10
Distributionally Robust Linear and Discrete Optimization with Marginals	10
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures	10
The Shortest Path Interdiction Problem with Randomized Interdiction Strategies: Complexity and Algorithms	10
Nonsparse Learning with Latent Variables	9
Shortfall Risk Models When Information on Loss Function Is Incomplete	9
Robustness in the Optimization of Risk Measures	9
Optimal Price/Advertising Menus for Two-Sided Media Platforms	9
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX	9
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times	9
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds	9
Multiplicative Pacing Equilibria in Auction Markets	9
Subsampling to Enhance Efficiency in Input Uncertainty Quantification	9
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming	9
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility	9
Nonadditive Multiattribute Utility Functions for Portfolio Decision Analysis	9
Asymmetric Multidepot Vehicle Routing Problems: Valid Inequalities and a Branch-and-Cut Algorithm	9
Operations Research: Topics, Impact, and Trends from 1952–2019	9
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs	9
Sustainability Planning for Healthcare Information Exchanges with Supplier Rebate Program	9
Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments	9
Soft OR and Practice: The Contribution of the Founders of Operations Research	9
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors	9
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization	9
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low	9
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays	9
Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model	9
Competitive Equilibrium and Trading Networks: A Network Flow Approach	9
How Endogenization of the Reference Point Affects Loss Aversion: A Study of Portfolio Selection	9
Technical Note—Data-Driven Newsvendor Problem: Performance of the Sample Average Approximation	8
Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences	8
Risk Arbitrage Opportunities for Stock Index Options	8
Exact Penalization of Generalized Nash Equilibrium Problems	8
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs	8
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach	8
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools	8
Adaptive Matching for Expert Systems with Uncertain Task Types	8
Learning in Combinatorial Optimization: What and How to Explore	8

Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice	8
Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees	8
Scheduling to Differentiate Service in a Multiclass Service System	8
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management	8
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration	8
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models	8
Improved Revenue Bounds for Posted-Price and Second-Price Mechanisms	8
Strategic Workforce Planning Under Uncertainty	8
Technical Note—Bifurcating Constraints to Improve Approximation Ratios for Network Revenue Management with Reusable Resources	8
Decision Making When Things Are Only a Matter of Time	8
Selfishness Need Not Be Bad	7
The Inventory Routing Problem Under Uncertainty	7
Dynamic Pricing and Matching for Two-Sided Queues	7
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem	7
Objective Selection for Cancer Treatment: An Inverse Optimization Approach	7
Parallel Adaptive Survivor Selection	7
Variable and Constant Returns-to-Scale Production Technologies with Component Processes	7
Stochastic Knapsack Revisited: The Service Level Perspective	7
Information Inundation on Platforms and Implications	7
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints	7
Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources	7
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions	7
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality	7
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization	7
Patient-Type Bayes-Adaptive Treatment Plans	7
Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption	7
Inventory Integration with Rational Consumers	7
The Strategic Benefit of Request for Proposal/Quotation	7
Transmission Capacity Allocation in Zonal Electricity Markets	7