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1. OM Forum–Working with Practitioners in Operations Management
OM论坛——运营管理领域与从业者的协作实践
2. The Role of Family Engagement in Influencing Patient Satisfaction and Readmission
家庭参与对患者满意度与再入院率的影响机制
3. Test Allocation and Pool Composition in Heterogenous Populations Under Strict Capacity Constraints
严格容量约束下异质群体的检测分配与混检组合优化
4. Waiting Online vs. In Person: An Empirical Study on Outpatient Clinic Visit Incompletion
线上与线下候诊:门诊就诊未完成现象的实证研究
5. Dynamic Care Unit Placements Under Unknown Demand with Learning
需求未知情境下具有学习能力的动态护理单元配置优化
6. Does Transparency Hinder Technological Novelty? Evidence from Large Pharmaceutical Firms
信息透明会阻碍技术创新吗?来自大型制药企业的证据
7. Waiting Time Prediction with Invisible Customers
隐形顾客场景下的等候时间预测研究
8. Self-Control in the Face of Multiple Projects
多项目并行下的自我调控机制研究
9. The Value of Online Interactions for Store Execution
上互动对门店运营效能的价值创造
10. Optimal Policy for Inventory Management with Periodic and Controlled Resets
周期性可控重置库存管理的最优策略
Abstract
Problem definition: Inventory management problems with periodic and controllable resets occur in the context of managing water storage in the developing world and dynamically optimizing endcap promotion duration in retail outlets. In this paper, we consider a set of sequential decision problems in which the decision maker must not only balance holding and shortage costs but discard all inventory before a fixed number of decision epochs with the option for an early inventory reset. Methodology/results: Finding optimal policies for these problems through dynamic programming presents unique challenges because of the nonconvex nature of the resulting value functions. Moreover, this structure cannot be readily analyzed even with extended convexity definitions, such as K-convexity. Managerial implications: Our key contribution is to present sufficient conditions that ensure the optimal policy has an easily interpretable structure, which generalizes the well-known (s,S) policy from the operations management literature. Furthermore, we demonstrate that, under these rather mild conditions, the optimal policy exhibits a four-threshold structure. We then conclude with computational experiments, thereby illustrating the policy structures that can be extracted in various inventory management scenarios.
摘要
问题定义:周期性可控重置库存管理问题常见于发展中国家水资源存储管理及零售端端架促销周期动态优化等场景。本文研究一系列序列决策问题,决策者不仅需要平衡持有成本与缺货成本,还必须在固定决策周期前清空库存,并享有提前重置库存的选项。
方法/结果:由于价值函数的非凸特性,通过动态规划寻找最优策略面临独特挑战。这种结构即使采用K-凸性等扩展凸性定义也难以分析。
管理启示:我们提出确保最优策略具有可解释结构的充分条件,该结构推广了运营管理文献中经典的(s,S)策略。在这些温和条件下,最优策略呈现四阈值结构。最后通过计算实验展示了不同库存管理场景中的策略结构。
11. Mental Accounting in Allocating Capacity
产能分配中的心理账户机制研究
12. Balancing Supply with Demand on Ride-Hailing Platforms in Markets with Price Regulations: An Operational Approach
价格监管市场中网约车平台供需平衡的运营策略
13. Managing Quality on Two-Sided Platforms in the Presence of Provider Competition
供应商竞争环境下双边平台的质量管理机制
14. Market Formation, Pricing, and Value Generation in Ride-Hailing Services
网约车服务的市场形成、定价与价值创造机制
15. The Impact of Automation on Workers When Workers Are Strategic: The Case of Ride-Hailing
劳动者策略行为下自动化对网约车工人的影响研究
16. Designing Emission Permits Regulation for Multiple Compliance Periods
多合规周期排放配额监管体系设计
17. Cheap Thrills! An Empirical Analysis of the Impact of Supercenters on Consumer Waste
超级卖场对消费者浪费影响的实证分析
18. Coastal Groundwater Management: Seawater Intrusion Prevention, Artificial Recharge, and Climate Adaptation
海岸带地下水管理:海水入侵防治、人工回补与气候适应
19. Multiproduct Dynamic Pricing with Reference Effects Under Logit Demand
参照效应下多产品逻辑特需求动态定价
Abstract
Problem definition: We consider the dynamic pricing problem of multiple products under (asymmetric) reference effects over an infinite horizon. Unlike existing literature, which is mostly focused on the single-product setting, our multiproduct setting takes into account the cross-product effects among substitutes and incorporates the memory-based reference prices into the multinomial logit (MNL) demand model. Even with the single-product logit demand, the structure of the optimal pricing policy is intractable. Therefore, we focus on the long-run patterns of the optimal pricing policy and also discuss the performance of the myopic pricing policy. Methodology/results: We first provide a comprehensive characterization of the myopic pricing policy, including its solution, long-run convergence behavior, and optimality gap. For the optimal pricing policy, we show an intricate connection between its long-run dynamics and types of reference effects. We demonstrate that the presence of any gain-seeking product renders a long-run constant pricing policy suboptimal. Conversely, the constant policy (or optimal steady state) can exist in both loss-neutral and loss-averse scenarios, where we provide a sufficient condition for such existence and give the analytical expression for the optimal steady state. We further show that when pricing perfect substitutes, the true optimal policy under the multiproduct framework is more likely to yield a long-run cyclic pattern than the policy derived from the single-product framework, a phenomenon that aligns well with the periodic discounts in real-world markets. Managerial implications: This discrepancy in the long-run behaviors between multi- and single-product-based policies highlights the importance of employing the multiproduct framework and addressing the cross-product effects, as sticking to the single-product framework while managing multiple substitutes can misrepresent long-run dynamics and result in suboptimality. In the multiproduct domain, our model suggests that retailers are more likely to benefit from appropriate price variations than maintaining a constant pricing policy.
摘要
问题定义:本研究探讨无限时域下具有(非对称)参照效应的多产品动态定价问题。与现有主要关注单产品的研究不同,我们的多产品框架同时考虑了替代品间的交叉效应,并将记忆型参照价格引入多项式逻辑特需求模型。即使单产品逻辑特需求下的最优定价策略也难以解析,因此我们聚焦最优定价策略的长期模式,并讨论短视定价策略的性能。
方法/结果:我们首先系统刻画了短视定价策略的求解方法、长期收敛特性及最优性间隙。对于最优定价策略,揭示了其长期动态与参照效应类型间的复杂关联:任何收益追逐型产品的存在都会导致长期恒定定价策略非最优;反之,在损失中性和损失规避情境下可能存在恒定策略(最优稳态),我们给出了存在性充分条件及稳态解析表达式。进一步发现,在完全替代品定价中,多产品框架下的真实最优策略比单产品框架更易产生长期周期波动,这与现实市场中周期性折扣现象高度吻合。
管理启示:多产品与单产品策略在长期行为上的差异凸显了采用多产品框架及处理交叉效应的重要性。若继续沿用单产品框架管理多重替代品,将扭曲长期动态并导致次优决策。我们的模型表明,在多产品领域,零售商通过适度价格波动可能比维持恒定定价策略获益更多。
20. Advance Selling and Upgrading in Priority Queues
优先队列中的预售与升级机制研究
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