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Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty
16 references·0 citing·46 second hop
Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty (2022)Feedback-Based Deterministic Optimization…Lectures on Stochastic Programming: Modeling and Theory, Third Edition (2021)Lectures on Stochastic Progra…Algorithmic Approaches to Inventory Management Optimization (2021)Algorithmic Approaches to Inv…The decision rule approach to optimization under uncertainty: methodology and applications (2018)The decision rule approach to…Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods (2018)Data-driven decision making u…Reinforcement learning approaches for specifying ordering policies of perishable inventory systems (2017)Reinforcement learning approa…Data-driven robust optimization (2017)Data-driven robust optimizati…A two-stage stochastic programming model for inventory management in the blood supply chain (2017)A two-stage stochastic progra…Inventory Control (2015)Inventory ControlControl and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty (2012)Control and system-theoretic …Applicability of optimal control theory to adaptive supply chain planning and scheduling (2012)Applicability of optimal cont…Robust Optimization (2009)Robust OptimizationDynamic modeling and control of supply chain systems: A review (2007)Dynamic modeling and control …Simulation-based optimization of process control policies for inventory management in supply chains (2006)Simulation-based optimization…Financial scenario generation for stochastic multi-stage decision processes as facility location problems (2006)Financial scenario generation…A Robust Optimization Approach to Inventory Theory (2006)A Robust Optimization Approac…Forecasting principles and practiceForecasting principles and pr…Coherent Measures of Risk (1999)Optimization of conditional value-at-risk (2000)The Price of Robustness (2004)Robust sample average approximation (2017)Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (2019)Frameworks and Results in Distributionally Robust Optimization (2022)Dynamic Version of the Economic Lot Size Model (1958)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)The Bullwhip Effect In Supply Chains 1 (1997)The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management (2013)The bullwhip effect: Progress, trends and directions (2015)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)An introduction to cybernetics (1956)Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Measuring supply chain resilience using a deterministic modeling approach (2014)Revealing interfaces of supply chain resilience and sustainability: a simulation study (2017)Resilient supplier selection and optimal order allocation under disruption risks (2019)A Stochastic Approximation Method (1951)Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)A reinforcement learning model for supply chain ordering management: An application to the beer game (2008)INTRODUCTION TO STOCHASTIC SEARCH AND OPTIMIZATION: ESTIMATION, SIMULATION, AND CONTROL (2012)Simulation optimization: a review of algorithms and applications (2014)The role of simulation and optimization methods in supply chain risk management: Performance and review standpoints (2018)Managing Perishable and Aging Inventories: Review and Future Research Directions (2010)Introduction to Stochastic Programming (2011)Supply Chain Management of Blood Products: A Literature Review (2011)A perishable product supply chain network design problem with reliability and disruption considerations (2018)A two-stage multi-echelon stochastic blood supply chain problem (2018)Survey on blood supply chain management: Models and methods (2019)Theory and Applications of Robust Optimization (2010)Resilient supply chain design and operations with decision‐dependent uncertainty using a data‐driven robust optimization approach (2018)Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions (2019)Data-driven robust optimization of dual-channel closed-loop supply chain network design considering uncertain demand and carbon cap-and-trade policy (2023)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Robust Solutions of Optimization Problems Affected by Uncertain Probabilities (2012)Distributionally Robust Convex Optimization (2014)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Equity in Stochastic Healthcare Facility Location (2023)Operational Research: methods and applications (2023)Allocating Inventory Risk in Retail Supply Chains: Risk Aversion, Information Asymmetry, and Outside Opportunity (2024)
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References

  • n.d.Forecasting principles and practice4,364 cited
  • 2009Robust Optimization3,008 cited
  • 2006A Robust Optimization Approach to Inventory Theory708 cited
  • 2017Data-driven robust optimization626 cited
  • 2007Dynamic modeling and control of supply chain systems: A review458 cited
  • 2021Lectures on Stochastic Programming: Modeling and Theory, Third Edition330 cited
  • 2012Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty240 cited
  • 2017A two-stage stochastic programming model for inventory management in the blood supply chain237 cited
  • 2018Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods205 cited
  • 2006Simulation-based optimization of process control policies for inventory management in supply chains161 cited
  • 2006Financial scenario generation for stochastic multi-stage decision processes as facility location problems153 cited
  • 2015Inventory Control141 cited
  • 2017Reinforcement learning approaches for specifying ordering policies of perishable inventory systems140 cited
  • 2012Applicability of optimal control theory to adaptive supply chain planning and scheduling115 cited

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  • 2021Algorithmic Approaches to Inventory Management Optimization81 cited
  • 2018The decision rule approach to optimization under uncertainty: methodology and applications64 cited
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