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Leveraging Multi-Agent Reinforcement Learning for Digital Transformation in Supply Chain Inventory Optimization
16 references·0 citing·55 second hopsampled
Leveraging Multi-Agent Reinforcement Learning for Digital Transformation in Supply Chain Inventory Optimization (2024)Leveraging Multi-Agent Reinforcement Lear…Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)Generative artificial intelli…A review on reinforcement learning algorithms and applications in supply chain management (2022)A review on reinforcement lea…Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains (2021)Exiting the COVID-19 pandemic…A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization (2021)A Deep Q-Network for the Beer…Sustainable Supply Chain Management—A Literature Review on Emerging Economies (2020)Sustainable Supply Chain Mana…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain (2020)A Conceptual Framework to Man…Modelling and analysis of inventory management systems in healthcare: A review and reflections (2019)Modelling and analysis of inv…Supply chain collaboration and firm’s performance (2018)Supply chain collaboration an…Characterizing supply chain visibility – a literature review (2018)Characterizing supply chain v…Performance of supply chain collaboration – A simulation study (2013)Performance of supply chain c…Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains (2011)Demand forecasting and sharin…Data Set—Real-World Multiechelon Supply Chains Used for Inventory Optimization (2007)Data Set—Real-World Multieche…Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains (2003)Newsvendor Bounds and Heurist…THE STATIONARY BEER GAME (2000)THE STATIONARY BEER GAMEOptimizing Strategic Safety Stock Placement in Supply Chains (2000)Optimizing Strategic Safety S…Optimal Inventory Policies for Assembly Systems Under Random Demands (1989)Material Management in Decentralized Supply Chains (1993)A Supply Network Model with Base-Stock Control and Service Requirements (2000)Commissioned Paper: Capacity Management, Investment, and Hedging: Review and Recent Developments (2003)A simulation based optimization approach to supply chain management under demand uncertainty (2004)Supply chain risk, simulation, and vendor selection (2008)Meta-Ethnography: Synthesizing Qualitative Studies (1988)Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources (2005)Producing a systematic review. 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A position paper motivated by COVID-19 outbreak (2020)Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic (2021)Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions (2021)Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems (2023)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)Literature review as a research methodology: An overview and guidelines (2019)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)Firm Resources and Sustained Competitive Advantage (1991)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review (2024)How generative AI Is shaping the future of marketing (2024)A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do? (2025)
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References

  • 2024Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation524 cited
  • 2000Optimizing Strategic Safety Stock Placement in Supply Chains428 cited
  • 2022A review on reinforcement learning algorithms and applications in supply chain management416 cited
  • 2020Machine learning demand forecasting and supply chain performance377 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization322 cited
  • 2018Supply chain collaboration and firm’s performance235 cited
  • 2021Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains235 cited
  • 2020Sustainable Supply Chain Management—A Literature Review on Emerging Economies212 cited
  • 2018Characterizing supply chain visibility – a literature review177 cited
  • 2020A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain173 cited
  • 2013Performance of supply chain collaboration – A simulation study162 cited
  • 2003Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains136 cited
  • 2007Data Set—Real-World Multiechelon Supply Chains Used for Inventory Optimization121 cited
  • 2000THE STATIONARY BEER GAME115 cited

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  • 2011Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains113 cited
  • 2019Modelling and analysis of inventory management systems in healthcare: A review and reflections110 cited
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