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Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning
16 references·3 citing·44 second hop
Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning (2022)Multi-Echelon Inventory Optimization Usin…Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems (2022)Can Deep Reinforcement Learni…A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization (2021)A Deep Q-Network for the Beer…Use of Proximal Policy Optimization for the Joint Replenishment Problem (2020)Use of Proximal Policy Optimi…A typology and literature review on stochastic multi-echelon inventory models (2018)A typology and literature rev…Robust multi-echelon multi-period inventory control (2009)Robust multi-echelon multi-pe…Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system (2008)Case-based reinforcement lear…A reinforcement learning model for supply chain ordering management: An application to the beer game (2008)A reinforcement learning mode…A Robust Optimization Approach to Inventory Theory (2006)A Robust Optimization Approac…Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains (2003)Newsvendor Bounds and Heurist…Integrated inventory model for deteriorating items under a multi-echelon supply chain environment (2003)Integrated inventory model fo…Inventory management in supply chains: a reinforcement learning approach (2002)Inventory management in suppl…A neuro-dynamic programming approach to retailer inventory management (2002)A neuro-dynamic programming a…Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand (2001)Optimal Policies for Multiech…Managing supply chain inventories: A multiple retailer, one warehouse, multiple supplier model (1999)Managing supply chain invento…Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales (1994)Optimizing Inventory Levels i…Introduction to materials management (1978)Introduction to materials man…Deep Controlled Learning for Inventory Control (2025)Deep Controlled Learning for …Performance of deep reinforcement learning algorithms in two-echelon inventory control systems (2024)Performance of deep reinforce…Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount (2024)Neuroevolution reinforcement …Material Management in Decentralized Supply Chains (1993)Logistics for world-wide crude oil transportation using discrete event simulation and optimal control (2003)Real-Time Ambulance Dispatching and Relocation (2018)Decision Systems for Inventory Management and Production Planning (1979)Introduction to simulation and SLAM II (1979)The Free Press (2002)The role of ERP tools in supply chain information sharing, cooperation, and cost optimization (2004)A Review on Supply Chain Coordination: Coordination Mechanisms, Managing Uncertainty and Research Directions (2011)Drones for disaster response and relief operations: A continuous approximation model (2017)Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)Coordinated supply chain management (1996)The Bullwhip Effect In Supply Chains 1 (1997)Reinforcement learning approaches for specifying ordering policies of perishable inventory systems (2017)AI-enabled Enterprise Information Systems for Manufacturing (2021)Product backorder prediction using deep neural network on imbalanced data (2021)Optimal Policies for a Multi-Echelon Inventory Problem (1960)Foundations of Inventory Management (2000)Optimal Policies for a Multi-Echelon Inventory Problem (2004)Selected topics in robust convex optimization (2007)Distributionally Robust Optimization and Its Tractable Approximations (2010)Theory and Applications of Robust Optimization (2010)Handbooks in operations research and management science (1989)The application of discrete event simulation and system dynamics in the logistics and supply chain context (2011)Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions (2021)Logistics and Supply Chain Management (2021)Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)An insurance risk management framework for disaster relief and supply chain disruption inventory planning (2007)Strategic Inventory Placement in Supply Chains: Nonstationary Demand (2008)Metric: A Multi-Echelon Technique for Recoverable Item Control (1968)The single-period inventory problem: Extension to random yield from the perspective of the supply chain (2008)Integrating deterioration and lifetime constraints in production and supply chain planning: A survey (2014)Three-echelon supply chain model considering carbon emission and item deterioration (2018)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Deep reinforcement learning for inventory control: A roadmap (2021)The role of artificial intelligence in supply chain management: mapping the territory (2022)Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)Studies in Mathematical Theory of Inventory and Production (1959)Approximations of Dynamic, Multilocation Production and Inventory Problems (1984)Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature (2023)Deep Reinforcement Learning for inventory optimization with non-stationary uncertain demand (2023)MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS (2024)Lean versus green: The impact of lean logistics on greenhouse gas emissions in consumer goods supply chains (2015)Sales and operations planning in the process industry: A literature review (2017)Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach (2023)
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References

  • 2006A Robust Optimization Approach to Inventory Theory708 cited
  • 1999Managing supply chain inventories: A multiple retailer, one warehouse, multiple supplier model247 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization242 cited
  • 1978Introduction to materials management221 cited
  • 2002Inventory management in supply chains: a reinforcement learning approach220 cited
  • 2022Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems206 cited
  • 2001Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand177 cited
  • 2003Integrated inventory model for deteriorating items under a multi-echelon supply chain environment166 cited
  • 2002A neuro-dynamic programming approach to retailer inventory management152 cited
  • 2008A reinforcement learning model for supply chain ordering management: An application to the beer game148 cited
  • 2018A typology and literature review on stochastic multi-echelon inventory models144 cited
  • 2003Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains136 cited
  • 1994Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales133 cited
  • 2009Robust multi-echelon multi-period inventory control

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129 cited
  • 2008Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system126 cited
  • 2020Use of Proximal Policy Optimization for the Joint Replenishment Problem111 cited
  • Cited by

    • 2024Performance of deep reinforcement learning algorithms in two-echelon inventory control systems32 cited
    • 2025Deep Controlled Learning for Inventory Control28 cited
    • 2024Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount23 cited