研飞ivySCI (青藤学术）

Operations Research

短名	Oper. Res.
Journal Impact	2.21
国际分区	OPERATIONS RESEARCH & MANAGEMENT SCIENCE(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	0030-364X, 1526-5463
h-index	161
国内分区	管理学(3区)管理学运筹学与管理科学(3区)管理学管理学(4区)

运筹学出版了 OR 从业者和研究人员感兴趣的高质量运筹学和管理科学著作，分为三个实质性类别：方法、基于数据的运筹学和 OR 实践。该杂志寻求论文报告基于数据的操作科学基本原则、操作系统的观察和建模、对 OR 方法和模型的贡献、应用案例历史、评论文章以及对管理环境、历史、政策、实践的讨论、未来和运筹学的应用领域。

期刊主页投稿网址

涉及主题	计算机科学数学经济工程类数学优化统计程序设计语言运筹学业务物理算法哲学操作系统生物人工智能数学分析计算机网络几何学量子力学认识论
出版信息	出版商: INFORMS Institute for Operations Research and the Management Sciences，出版周期: Bimonthly，期刊类型: journal
基本数据	创刊年份: 1969，原创研究文献占比: 100.00%，自引率:9.10%， Gold OA占比: 0.00%
平均审稿周期	网友分享经验：平均15.0个月
平均录用比例	网友分享经验：较易

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On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs

2024-9-13

Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management

2024-9-13

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting

2024-9-9

Data-Driven Clustering and Feature-Based Retail Electricity Pricing with Smart Meters

2024-9-3

Technical Note: Dynamic Duopolistic Competition with Sticky Prices

2024-9-2

A Reciprocity Between Tree Ensemble Optimization and Multilinear Optimization

2024-8-29

Error Propagation in Asymptotic Analysis of the Data-Driven (<i>s</i>, <i>S</i>) Inventory Policy

2024-8-26

Deepest Cuts for Benders Decomposition

2024-8-23

Monte Carlo Estimation of CoVaR

2024-8-21

Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games

2024-8-21

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers

2024-8-20

Search in the Dark: The Case with Recall and Gaussian Learning

2024-8-16

Incentive-Aware Models of Financial Networks

2024-8-12

Dynamic Control of Service Systems with Returns: Application to Design of Postdischarge Hospital Readmission Prevention Programs

2024-8-6

Information Relaxation and a Duality-Driven Algorithm for Stochastic Dynamic Programs

2024-7-31

Strong Optimal Classification Trees

2024-7-31

Side-Constrained Dynamic Traffic Equilibria

2024-7-19

Nonadaptive Stochastic Score Classification and Explainable Half-Space Evaluation

2024-7-18

Asymptotic Scaling of Optimal Cost and Asymptotic Optimality of Base-Stock Policy in Several Multidimensional Inventory Systems

2024-7-17

Logarithmic Regret in Multisecretary and Online Linear Programs with Continuous Valuations

2024-7-17

Hardness of Pricing Routes for Two-Stage Stochastic Vehicle Routing Problems with Scenarios

2024-7-16

Improving Blockchain Consistency Bound by Assigning Weights to Random Blocks

2024-7-15

A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization

2024-7-15

Technical Note—Near-Optimal Bayesian Online Assortment of Reusable Resources

2024-7-15

Risk-Adaptive Local Decision Rules

2024-7-15

Business Model Choice for Heavy Equipment Manufacturers

2024-7-11

Audit and Remediation Strategies in the Presence of Evasion Capabilities

2024-7-10

Optimal No-Regret Learning in Repeated First-Price Auctions

2024-7-8

Dynamic Allocation of Reusable Resources: Logarithmic Regret in Overloaded Networks

2024-7-5

In This Issue

2024-7-1

Editorial Board

2024-7-1

Two-Stage Stochastic Matching and Pricing with Applications to Ride Hailing

2024-7-1

Screening with Limited Information: A Dual Perspective

2024-7-1

Shipping Emission Control Area Optimization Considering Carbon Emission Reduction

2024-7-1

Distinguishing Useful and Wasteful Slack

2024-7-1

Reshaping National Organ Allocation Policy

2024-7-1

Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes

2024-6-28

Optimal Regularized Online Allocation by Adaptive Re-Solving

2024-6-28

Asymptotically Optimal Clearing Control of Backlogs in Multiclass Processing Systems

2024-6-20

Learning to Persuade on the Fly: Robustness Against Ignorance

2024-6-18

Optimal Dynamic Mechanism Under Customer Search

2024-6-11

Pricing Optimal Outcomes in Coupled and Non-convex Markets: Theory and Applications to Electricity Markets

2024-6-11

Boundary Effects in the Diffusion of New Products on Cartesian Networks

2024-6-10

Price Interpretability of Prediction Markets: A Convergence Analysis

2024-6-10

Robust Financial Networks

2024-6-7

Dynamic Relocations in Car-Sharing Networks

2024-6-6

Optimal Cash Management with Payables Finance

2024-6-4

Tight Guarantees for Multiunit Prophet Inequalities and Online Stochastic Knapsack

2024-6-3

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation

2024-5-30

Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

2024-5-23

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Operations Research

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最新文章

On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs

Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting

Data-Driven Clustering and Feature-Based Retail Electricity Pricing with Smart Meters

Technical Note: Dynamic Duopolistic Competition with Sticky Prices

A Reciprocity Between Tree Ensemble Optimization and Multilinear Optimization

Error Propagation in Asymptotic Analysis of the Data-Driven (<i>s</i>, <i>S</i>) Inventory Policy

Deepest Cuts for Benders Decomposition

Monte Carlo Estimation of CoVaR

Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers

Search in the Dark: The Case with Recall and Gaussian Learning

Incentive-Aware Models of Financial Networks

Dynamic Control of Service Systems with Returns: Application to Design of Postdischarge Hospital Readmission Prevention Programs

Information Relaxation and a Duality-Driven Algorithm for Stochastic Dynamic Programs

Strong Optimal Classification Trees

Side-Constrained Dynamic Traffic Equilibria

Nonadaptive Stochastic Score Classification and Explainable Half-Space Evaluation

Asymptotic Scaling of Optimal Cost and Asymptotic Optimality of Base-Stock Policy in Several Multidimensional Inventory Systems

Logarithmic Regret in Multisecretary and Online Linear Programs with Continuous Valuations

Hardness of Pricing Routes for Two-Stage Stochastic Vehicle Routing Problems with Scenarios

Improving Blockchain Consistency Bound by Assigning Weights to Random Blocks

A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization

Technical Note—Near-Optimal Bayesian Online Assortment of Reusable Resources

Risk-Adaptive Local Decision Rules

Business Model Choice for Heavy Equipment Manufacturers

Audit and Remediation Strategies in the Presence of Evasion Capabilities

Optimal No-Regret Learning in Repeated First-Price Auctions

Dynamic Allocation of Reusable Resources: Logarithmic Regret in Overloaded Networks

In This Issue

Editorial Board

Two-Stage Stochastic Matching and Pricing with Applications to Ride Hailing

Screening with Limited Information: A Dual Perspective

Shipping Emission Control Area Optimization Considering Carbon Emission Reduction

Distinguishing Useful and Wasteful Slack

Reshaping National Organ Allocation Policy

Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes

Optimal Regularized Online Allocation by Adaptive Re-Solving

Asymptotically Optimal Clearing Control of Backlogs in Multiclass Processing Systems

Learning to Persuade on the Fly: Robustness Against Ignorance

Optimal Dynamic Mechanism Under Customer Search

Pricing Optimal Outcomes in Coupled and Non-convex Markets: Theory and Applications to Electricity Markets

Boundary Effects in the Diffusion of New Products on Cartesian Networks

Price Interpretability of Prediction Markets: A Convergence Analysis

Robust Financial Networks

Dynamic Relocations in Car-Sharing Networks

Optimal Cash Management with Payables Finance

Tight Guarantees for Multiunit Prophet Inequalities and Online Stochastic Knapsack

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation

Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

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