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A fuzzy reinforcement learning algorithm for inventory control in supply chains
4 references·3 citing·36 second hop
A fuzzy reinforcement learning algorithm for inventory control in supply chains (2012)A fuzzy reinforcement learning algorithm …Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system (2008)Case-based reinforcement lear…Case-based myopic reinforcement learning for satisfying target service level in supply chain (2007)Case-based myopic reinforceme…Supply chain integration in vendor-managed inventory (2005)Supply chain integration in v…Agent learning in supplier selection models (2003)Agent learning in supplier se…A review on reinforcement learning algorithms and applications in supply chain management (2022)A review on reinforcement lea…Machine Learning for industrial applications: A comprehensive literature review (2021)Machine Learning for industri…Optimization of product refurbishment in closed-loop supply chain using multi-period model integrated with fuzzy controller under uncertainties (2017)Optimization of product refur…Essays in Positive Economics. (1954)A Behavioral Theory of the Firm (1964)Exploration and Exploitation in Organizational Learning (1991)Design and development of agent-based procurement system to enhance business intelligence (2007)Estimating the impact of residents with disabilities on the evacuation in a high-rise building: A simulation study (2012)Modeling emergency evacuation of individuals with disabilities (exitus): An agent-based public decision support system (2012)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Foundations of Inventory Management (2000)Supply Chain Management: Strategy, Planning and Operations (2000)Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework (2024)Agent-based demand forecast in multi-echelon supply chain (2005)Agent-based simulation of consumer purchase decision-making and the decoy effect (2007)Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Electronic markets and electronic hierarchies (1987)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Inventory management and production planning and scheduling (1999)A production-inventory model of imperfect quality products in a three-layer supply chain (2010)Supply chain risk management in French companies (2011)Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect (2015)Strategic production-distribution models: A critical review with emphasis on global supply chain models (1997)Supply-chain uncertainty: a review and theoretical foundation for future research (2011)Effective supply chain management (2020)WEEE closed-loop supply chain network management considering the damage levels of returned products (2020)Pricing Strategies of Dual-Recycling Channels considering Refurbishing and Remanufacturing of WEEE (2022)The Toyota way : 14 management principles from the world's greatest manufacturer (2004)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas (2021)Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management (2024)Gig work and gig workers: An integrative review and agenda for future research (2024)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)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation (2024)
this work references cited by second hop

References

  • 2005Supply chain integration in vendor-managed inventory363 cited
  • 2008Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system126 cited
  • 2003Agent learning in supplier selection models75 cited
  • 2007Case-based myopic reinforcement learning for satisfying target service level in supply chain30 cited

Cited by

  • 2021Machine Learning for industrial applications: A comprehensive literature review575 cited
  • 2022A review on reinforcement learning algorithms and applications in supply chain management416 cited
  • 2017Optimization of product refurbishment in closed-loop supply chain using multi-period model integrated with fuzzy controller under uncertainties27 cited

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