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European Journal of Operational Research最新文献

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Mitigating Concentrated and Cascading Delays in Preference-based Appointment Systems: A Cost and Risk Perspective 减轻基于偏好的预约系统中的集中和级联延迟:成本和风险视角
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-27 DOI: 10.1016/j.ejor.2025.12.038
Lixiang Zhao, Min Zhang, Han Zhu, Shujun Li
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引用次数: 0
Corrigendum to “A review on discrete diversity and dispersion maximization from an OR perspective” [Eur. J. Oper. Res. 299 (3) (2022) 795–813] “从OR的角度回顾离散多样性和弥散最大化”的勘误表[欧洲]。j .打开。第299(3)(2022)795-813条]
IF 6 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-26 DOI: 10.1016/j.ejor.2025.12.002
R. Martí , A. Martínez-Gavara , S. Pérez-Peló , J. Sánchez-Oro
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引用次数: 0
Data-driven Inventory Management under Customer Substitution 客户替代下的数据驱动库存管理
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-25 DOI: 10.1016/j.ejor.2025.12.034
Sebastian Müller, Jakob Huber, Ralph Alexander Bubak, Moritz Fleischmann, Heiner Stuckenschmidt
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引用次数: 0
Probabilistic Price Promotions Without Obligations 没有义务的概率价格促销
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-25 DOI: 10.1016/j.ejor.2025.12.035
Yongqin Lei, Fredrik ødegaard
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引用次数: 0
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide 库存管理中的零差概化:训练、评估和决策
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-24 DOI: 10.1016/j.ejor.2025.12.033
Tarkan Temizöz, Christina Imdahl, Remco Dijkman, Douniel Lamghari-Idrissi, Willem Van Jaarsveld
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引用次数: 0
Portfolio Optimization with Robust Stochastic Dominance Testing: A Genetic Algorithm Approach 具有稳健随机优势检验的投资组合优化:一种遗传算法方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-24 DOI: 10.1016/j.ejor.2025.12.037
Jakub Neugebauer
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引用次数: 0
Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares 在拼车个性化票价中平衡利润和旅客接受度
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-24 DOI: 10.1016/j.ejor.2025.12.025
Michał Bujak, Rafał Kucharski
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引用次数: 0
Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm 混合服务模式码头综合卡车分配与调度问题:基于q学习的自适应大邻域搜索算法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-24 DOI: 10.1016/j.ejor.2025.12.036
Yueyi Li, Mehrdad Mohammadi, Xiaodong Zhang, Yunxing Lan, Willem van Jaarsveld
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引用次数: 0
Counterfactual analysis of default bid market power mitigation strategies in two-stage electricity markets 两阶段电力市场中违约竞价市场电力缓解策略的反事实分析
IF 6 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-24 DOI: 10.1016/j.ejor.2025.12.030
Rajni Kant Bansal , Yue Chen , Pengcheng You , Enrique Mallada
Market power remains a persistent challenge in many liberalized electricity markets worldwide, driving the adoption of ex-ante and ex-post mitigation measures. Despite locational mitigation tools (e.g., cost-based reference levels or default energy bids), evidence of price manipulation has motivated system-level market power mitigation (MPM) policies. However, the full implications of these rules are not well understood, and limited insight into participant behavior can lead to unintended consequences, including increased market power and welfare losses. We study sequentially cleared electricity markets and analyze a two-stage settlement structure commonly used by system operators (e.g., day-ahead and real-time markets in North America). Our focus is on MPM policies that replace noncompetitive generator offers with operator-estimated default bids, and we model competition between generators and loads with inelastic energy requirements who act strategically in allocating demand across stages under real-time, day-ahead, and simultaneous applications of MPM policies. Motivated by the loss of Nash equilibrium under conventional supply-function bidding, we adopt an alternative mechanism in which generators bid the intercept of an affine supply function. Under real-time MPM, strategic interaction in the day-ahead market drives all demand to real time, producing an undesirable outcome. To test robustness, we incorporate demand uncertainty using a variance-penalized expectation framework. Low risk aversion still leads to substantial real-time clearing, while imbalances in risk preferences further amplify market power. Overall, intercept-function bidding combined with day-ahead and simultaneous MPM policies mitigates generator market power more effectively than real-time substitution alone, although these policies shift some market power toward loads.
市场力量在全世界许多自由化的电力市场中仍然是一个持续的挑战,促使采取事前和事后缓解措施。尽管有局部缓解工具(例如,基于成本的参考水平或默认能源投标),但价格操纵的证据推动了系统级市场力量缓解(MPM)政策。然而,这些规则的全部含义并没有得到很好的理解,对参与者行为的有限了解可能导致意想不到的后果,包括增加市场力量和福利损失。我们研究了顺序清算的电力市场,并分析了系统运营商常用的两阶段结算结构(例如,北美的日前和实时市场)。我们的重点是MPM政策,用运营商估计的默认出价取代非竞争性发电机报价,我们模拟了具有非弹性能源需求的发电机和负载之间的竞争,这些负载在实时、提前一天和同时应用MPM政策的情况下策略性地分配不同阶段的需求。考虑到传统供给函数竞价下纳什均衡的丧失,我们采用了一种替代机制,即发电商竞价仿射供给函数的截距。在实时MPM下,日前市场中的战略互动将所有需求驱动到实时,从而产生不期望的结果。为了测试稳健性,我们使用方差惩罚期望框架合并需求不确定性。低风险厌恶仍然导致大量的实时清算,而风险偏好的不平衡进一步放大了市场力量。总的来说,截距竞价与前一天和同步MPM政策相结合,比单独的实时替代更有效地减轻了发电机的市场力量,尽管这些政策将一些市场力量转移给了负荷。
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引用次数: 0
Interday and Intraday Chemotherapy Appointment Scheduling: a Patient-Centered Approach 日间和日间化疗预约安排:以患者为中心的方法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2025-12-22 DOI: 10.1016/j.ejor.2025.12.023
Giuliana Carello, Mauro Passacantando, Elena Tánfani
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引用次数: 0
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European Journal of Operational Research
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