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Designing of an intelligent self-adaptive model for supply chain ordering management system
12 references·14 citing·46 second hop
Designing of an intelligent self-adaptive model for supply chain ordering management system (2014)Designing of an intelligent self-adaptive…“Options, Futures, and Other Derivatives” (2016)“Options, Futures, and Other …Agent-based modeling and simulation (2009)Agent-based modeling and simu…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…The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry (2007)The simulated impact of RFID-…Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (2003)Simulation-Based Optimization…Options, Futures and Other Derivatives (2003)Options, Futures and Other De…Inventory management in supply chains: a reinforcement learning approach (2002)Inventory management in suppl…Global supply chain management: A reinforcement learning approach (2002)Global supply chain managemen…New Developments in Supply Chain Management for the Millennium (2000)New Developments in Supply Ch…Simulation of Order Fulfillment in Divergent Assembly Supply Chains (1998)Simulation of Order Fulfillme…Modeling Supply Chain Dynamics: A Multiagent Approach* (1998)Modeling Supply Chain Dynamic…Risk-averse supply chain management via robust reinforcement learning (2024)Risk-averse supply chain mana…Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework (2024)Application of simulation and…Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem (2023)Combining deep reinforcement …An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management (2023)An application of deep reinfo…A Supply Chain Inventory Management Method for Civil Aircraft Manufacturing Based on Multi-Agent Reinforcement Learning (2023)A Supply Chain Inventory Mana…A multi-agent reinforcement learning model for inventory transshipments under supply chain disruption (2023)A multi-agent reinforcement l…A deep reinforcement learning system for the allocation of epidemic prevention materials based on DDPG (2023)A deep reinforcement learning…Bandit-based inventory optimisation: Reinforcement learning in multi-echelon supply chains (2022)Bandit-based inventory optimi…Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning (2021)Adaptive Supply Chain: Demand…Deep Reinforcement Learning and Optimization Approach for Multi-echelon Supply Chain with Uncertain Demands (2020)Deep Reinforcement Learning a…A deep q-learning-based optimization of the inventory control in a linear process chain (2020)A deep q-learning-based optim…Simulation based optimization of a stochastic supply chain considering supplier disruption: An agent-based modeling and reinforcement learning (2018)Simulation based optimization…A Multi-objective, simulation-based optimization framework for supply chains with premium freights (2016)A Multi-objective, simulation…A multi-agent system model for supply chains with lateral preventive transshipments: Application in a multi-national automotive supply chain (2016)A multi-agent system model fo…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)Agent-based demand forecast in multi-echelon supply chain (2005)Agent-based simulation of consumer purchase decision-making and the decoy effect (2007)Artificial intelligence-based inventory management: a Monte Carlo tree search approach (2021)Reinforcement learning approach for resource allocation in humanitarian logistics (2021)Will bots take over the supply chain? Revisiting agent-based supply chain automation (2021)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)Can Deep Reinforcement Learning Improve Inventory Management? 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References

  • 2016“Options, Futures, and Other Derivatives”5,007 cited
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  • 1998Modeling Supply Chain Dynamics: A Multiagent Approach*878 cited
  • 2009Agent-based modeling and simulation544 cited
  • 2003Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning359 cited
  • 2002Inventory management in supply chains: a reinforcement learning approach220 cited
  • 2007The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry152 cited
  • 2008A reinforcement learning model for supply chain ordering management: An application to the beer game148 cited
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  • 1998Simulation of Order Fulfillment in Divergent Assembly Supply Chains123 cited
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Cited by

  • 2023An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management68 cited
  • 2021Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning

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59 cited
  • 2023Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem54 cited
  • 2023A multi-agent reinforcement learning model for inventory transshipments under supply chain disruption44 cited
  • 2024Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework37 cited
  • 2016A multi-agent system model for supply chains with lateral preventive transshipments: Application in a multi-national automotive supply chain30 cited
  • 2016A Multi-objective, simulation-based optimization framework for supply chains with premium freights30 cited
  • 2020A deep q-learning-based optimization of the inventory control in a linear process chain24 cited
  • 2023A deep reinforcement learning system for the allocation of epidemic prevention materials based on DDPG19 cited
  • 2020Deep Reinforcement Learning and Optimization Approach for Multi-echelon Supply Chain with Uncertain Demands19 cited
  • 2022Bandit-based inventory optimisation: Reinforcement learning in multi-echelon supply chains18 cited
  • 2018Simulation based optimization of a stochastic supply chain considering supplier disruption: An agent-based modeling and reinforcement learning16 cited
  • 2023A Supply Chain Inventory Management Method for Civil Aircraft Manufacturing Based on Multi-Agent Reinforcement Learning15 cited
  • 2024Risk-averse supply chain management via robust reinforcement learning15 cited