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94편 · 2022 15편, 2023 7편, 2024 12편, 2025 11편, 2026 8편
최근 60편
- Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random Supplies
- Risk Aversion in a Data-Driven Multi-period Inventory Control Problem
- The Value of Flexibility from Opaque Selling
- Revenue Management With Nonparametric Demand Learning and Product Returns
- EXPRESS: Offline Learning and Optimization for Multi-product Inventory Management with Stockout-based Substitution
- Frozen-State Value Iteration: Faster Reinforcement Learning by Freezing Slow States
- Asymptotic Optimality of Semi-Open-Loop Policies in Inventory Models with Stochastic Lead Times
- Two-stage newsvendor network problem: A data-driven distributionally robust optimization approach
- Deep Policy Iteration with Integer Programming for Inventory Management
- The Nonstationary Newsvendor with (and Without) Predictions
- A Primal-Dual Approach to Constrained Markov Decision Processes with Applications to Queue Scheduling and Inventory Management
- Inventory Systems with Record Inaccuracy: Transaction Errors vs. Unobservable Loss
- Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach
- Newsvendor Problems With Product Unbundling: An Approach Combining Robust Optimization With Deep Reinforcement Learning
- Optimality of Base-Stock Policy Under Unknown General Demand Distributions: New Methods, New Results, and Computations
- Optimal Policy for Inventory Management with Periodic and Controlled Resets
- Don’t Follow Reinforcement Learning Blindly: Lower Sample Complexity of Learning Optimal Inventory Control Policies with Fixed Ordering Cost
- Effects of Financial Constraints on Supply Chain Financing Choices and Operational Decisions
- Sound of Silence: When to Conceal Attribute Information? The Roles of Consumer Search, Inventory, and Channel Structure
- Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
- Feature-Based Inventory Control with Censored Demand
- Learning Newsvendor Problems With Intertemporal Dependence and Moderate Non-stationarities
- The Effect of Supply Uncertainty on Dynamic Procurement and Pricing Strategies Under Lost Sales
- Enhancing Customer–Supplier Coordination Through Customer-Managed Inventory
- Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control
- Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes
- Advancements in Inventory Management: Insights From INFORMS Franz Edelman Award Finalists
- A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal Policy
- Furloughing Employees with Uncertain Return? Management of Labor Frictions and Inventory Under Demand Shock
- Dynamic Multi-product Procurement With Joint and Individual Setup Costs: Theory and Insights
- Comment on “Salesforce Compensation with Inventory Considerations”
- Nonstationary Reinforcement Learning: The Blessing of (More) Optimism
- Optimal Policies for Dynamic Pricing and Inventory Control with Nonparametric Censored Demands
- Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands
- Dynamic pricing and production control in a two‐item make‐to‐stock system with flexible dual sourcing and lost sales
- Optimal robust inventory management with volume flexibility: Matching capacity and demand with the lookahead peak‐shaving policy
- Inventory and supply chain management with auto‐delivery subscription
- Optimal inventory control with cyclic fixed order costs
- Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
- A Practical End-to-End Inventory Management Model with Deep Learning
- A Data-Driven Approach to Multistage Stochastic Linear Optimization
- M-Commerce, Sales Concentration, and Inventory Management
- Opaque Selling and Inventory Management in Vertically Differentiated Markets
- A survey of stochastic inventory models with fixed costs: Optimality of ( s , S ) and ( s , S )‐type policies—Continuous‐time case
- Dual sourcing: Creating and utilizing flexible capacities with a second supply source
- Inventory control in production–inventory systems with random yield and rework: The unit‐tracking approach
- Integrated production and renewable energy generation in the presence of hydrogen energy storage
- Discrete‐item inventory control involving unknown censored demand and convex inventory costs
- A nonparametric approach for setting safety stock levels
- Robust Inventory Management: A Cycle-Based Approach
- Fight inventory shrinkage: Simultaneous learning of inventory level and shrinkage rate
- Newsvendors with Customer Referrals
- Inventory dispensation and restocking in multiclass inventory systems: A decoupling approach
- Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information
- Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs
- Aid Allocation for Camp‐Based and Urban Refugees with Uncertain Demand and Replenishments
- The Effects of Stock-Based Incentives on Inventory Management
- Dynamic Substitution for Selling Multiple Products under Supply and Demand Uncertainties
- Applications of Stochastic Orders and Stochastic Functions in Inventory and Pricing Problems
- Minimizing conditional value‐at‐risk under a modified basestock policy