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Adaptive inventory control models for supply chain management
10 references·16 citing·51 second hop
Adaptive inventory control models for supply chain management (2004)Adaptive inventory control models for sup…Global supply chain management: A reinforcement learning approach (2002)Global supply chain managemen…Forecasting errors and the value of information sharing in a supply chain (2002)Forecasting errors and the va…A Multi-Echelon Inventory System with Information Exchange (2002)A Multi-Echelon Inventory Sys…Decentralized Multi-Echelon Supply Chains: Incentives and Information (1999)Decentralized Multi-Echelon S…Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain (1999)Competitive and Cooperative I…Myopic Policies for Some Inventory Models with Uncertain Demand Distributions (1990)Myopic Policies for Some Inve…Scarf's State Reduction Method, Flexibility, and a Dependent Demand Inventory Model (1986)Scarf's State Reduction Metho…Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution (1985)Bayes Solution to Dynamic Inv…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Some remarks on bayes solutions to the inventory problem (1960)Some remarks on bayes solutio…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…An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management (2023)An application of deep reinfo…Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem (2022)Using the proximal policy opt…Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning (2022)Multi-Echelon Inventory Optim…Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation (2022)Dynamic inventory replenishme…AI-enabled Enterprise Information Systems for Manufacturing (2021)AI-enabled Enterprise Informa…A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process (2021)A systematic literature revie…Multiproduct multiple-buyer single-vendor supply chain problem with stochastic demand, variable lead-time, and multi-chance constraint (2011)Multiproduct multiple-buyer s…Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time (2011)Integrated safety stock optim…Impact of forecasting methods on variance ratio in order-up-to level policy (2011)Impact of forecasting methods…A replenishment policy based on joint optimization in a downstream pharmaceutical supply chain: centralized vs. decentralized replenishment (2011)A replenishment policy based …A particle swarm optimization approach for constraint joint single buyer-single vendor inventory problem with changeable lead time and (r,Q) policy in supply chain (2010)A particle swarm optimization…Optimal ordering and pricing policies for deteriorating items in one-vendor multi-retailer supply chain (2009)Optimal ordering and pricing …Situation reactive approach to Vendor Managed Inventory problem (2008)Situation reactive approach t…Dynamic analysis of a two-stage supply chain—a switched system theory approach (2008)Dynamic analysis of a two-sta…Case-based myopic reinforcement learning for satisfying target service level in supply chain (2007)Case-based myopic reinforceme…Optimal Policies for a Multi-Echelon Inventory Problem (1960)Optimal Pricing and Return Policies for Perishable Commodities (1985)The Effect of Collaborative Forecasting on Supply Chain Performance (2001)Optimal Policies for a Multi-Echelon Inventory Problem (2004)Coordination mechanisms of supply chain systems (2006)Handbook of Management Accounting Research (2009)Competition in Global Industries (1987)Coordinated supply chain management (1996)What is the Right Supply Chain for Your Product (1997)Designing of an intelligent self-adaptive model for supply chain ordering management system (2014)Evaluating indicators for international manufacturing network under circular economy (2018)Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience (2024)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)Impact of information sharing on inventory replenishment in divergent supply chains (2004)Sales forecasts in clothing industry: The key success factor of the supply chain management (2010)The moderating effect of supply chain role on the relationship between supply chain practices and performance (2011)Journal of Business Logistics (2018)Analysis of Inventory Systems. (1964)The Economics of Modern Manufacturing: Technology, Strategy, and Organization (1990)Information Sharing to Improve Retail Product Freshness of Perishables (2006)A Review on Supply Chain Coordination: Coordination Mechanisms, Managing Uncertainty and Research Directions (2011)The benefits of supply chain visibility: A value assessment model (2014)Metric: A Multi-Echelon Technique for Recoverable Item Control (1968)A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System (1973)MODELING THE EVOLUTION OF DEMAND FORECASTS ITH APPLICATION TO SAFETY STOCK ANALYSIS IN PRODUCTION/DISTRIBUTION SYSTEMS (1994)Integrating Replenishment Decisions with Advance Demand Information (2001)Dynamic Pricing for Nonperishable Products with Demand Learning (2009)Optimal Policy for a Multi-Product, Dynamic, Nonstationary Inventory Problem (1965)Accuracy of Forecasting: An Empirical Investigation (1979)Improved Fashion Buying with Bayesian Updates (1997)A Time-Series Framework for Supply-Chain Inventory Management (2003)Robust Approximation to Multiperiod Inventory Management (2009)Bayes Solutions of the Statistical Inventory Problem (1959)Studies in Mathematical Theory of Inventory and Production (1959)Adaptive Inventory Control for Nonstationary Demand and Partial Information (2002)Optimal Policies and Approximations for a Serial Multiechelon Inventory System with Time-Correlated Demand (2003)Operational Research: methods and applications (2023)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Supply Chain Contracting and Coordination with Stochastic Demand (1999)Time Value of Commercial Product Returns (2006)Cost Accounting: A Managerial Emphasis, (2010)Semiotics: The Basics (2003)The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach (2010)Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)A Systematic Literature Review on the Application of Automation in Logistics (2023)Artificial intelligence (AI) for supply chain collaboration: implications on information sharing and trust (2024)Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China (2024)Low frequency filtering and real business cycles (1993)An overview of methods for determining OWA weights (2005)Exponential smoothing: The state of the art—Part II (2006)
this work references cited by second hop

References

  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 1999Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain518 cited
  • 1999Decentralized Multi-Echelon Supply Chains: Incentives and Information475 cited
  • 1985Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution341 cited
  • 1990Myopic Policies for Some Inventory Models with Uncertain Demand Distributions217 cited
  • 2002A Multi-Echelon Inventory System with Information Exchange214 cited
  • 2002Forecasting errors and the value of information sharing in a supply chain139 cited
  • 1960Some remarks on bayes solutions to the inventory problem125 cited
  • 2002Global supply chain management: A reinforcement learning approach100 cited
  • 1986Scarf's State Reduction Method, Flexibility, and a Dependent Demand Inventory Model93 cited

Cited by

  • 2021AI-enabled Enterprise Information Systems for Manufacturing132 cited
  • 2011Multiproduct multiple-buyer single-vendor supply chain problem with stochastic demand, variable lead-time, and multi-chance constraint84 cited
  • 2010A particle swarm optimization approach for constraint joint single buyer-single vendor inventory problem with changeable lead time and (r,Q) policy in supply chain76 cited
  • 2023An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management

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68 cited
  • 2022Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation62 cited
  • 2011A replenishment policy based on joint optimization in a downstream pharmaceutical supply chain: centralized vs. decentralized replenishment62 cited
  • 2022Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem54 cited
  • 2022Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning50 cited
  • 2009Optimal ordering and pricing policies for deteriorating items in one-vendor multi-retailer supply chain50 cited
  • 2008Situation reactive approach to Vendor Managed Inventory problem37 cited
  • 2024Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework37 cited
  • 2021A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process34 cited
  • 2008Dynamic analysis of a two-stage supply chain—a switched system theory approach33 cited
  • 2007Case-based myopic reinforcement learning for satisfying target service level in supply chain30 cited
  • 2011Impact of forecasting methods on variance ratio in order-up-to level policy30 cited
  • 2011Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time28 cited