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Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint
7 references·16 citing·43 second hop
Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint (1998)Optimization of (s, S) Inventory Systems …Optimization via simulation: A review (1994)Optimization via simulation: …Gradient Estimation via Perturbation Analysis (1991)Gradient Estimation via Pertu…Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single Policy (1991)Finding Optimal (s, S) Polici…Handbooks in operations research and management science (1989)Handbooks in operations resea…Stochastic leadtimes in continuous‐time inventory models (1986)Stochastic leadtimes in conti…(s, S) Policies for a Dynamic Inventory Model with Stochastic Lead Times (1984)(s, S) Policies for a Dynamic…Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)Stochastic Approximation Meth…Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context (2021)Simulation-based assessment o…Simulation optimization in inventory replenishment: a classification (2015)Simulation optimization in in…Stochastic Gradient Estimation (2014)Stochastic Gradient EstimationResponse Surface Methodology (2014)Response Surface MethodologyOptimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands (2012)Optimization of replenishment…Constrained optimization in expensive simulation: Novel approach (2009)Constrained optimization in e…What you should know about simulation and derivatives (2008)What you should know about si…Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems (2008)Using Stochastic Approximatio…Some topics for simulation optimization (2008)Some topics for simulation op…Response surface methodology with stochastic constraints for expensive simulation (2008)Response surface methodology …Response surface methodology for constrained simulation optimization: An overview (2007)Response surface methodology …Optimization of simulated systems: OptQuest and alternatives (2007)Optimization of simulated sys…Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping (2007)Customized sequential designs…Chapter 19 Gradient Estimation (2006)Chapter 19 Gradient EstimationManaging Inventory and Supply Performance in Assembly Systems with Random Supply Capacity and Demand (2004)Managing Inventory and Supply…Integrated inventory pooling for firms servicing both on-line and store demand (2003)Integrated inventory pooling …Optimality of ( s , S ) Policies in the Infinite Horizon Dynamic Inventory Problem (1963)Computing Optimal (s, S) Inventory Policies (1965)On the Opimality of $( {s,S} )$ Inventory Policies: New Conditions and a New Proof (1966)Myopic Heuristics for the Random Yield Problem (1999)Multistage Inventory Management with Expediting (2000)Operational Research: methods and applications (2023)On the Experimental Attainment of Optimum Conditions (1951)Simulation Modeling and Analysis. (1983)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Simulation optimization using metamodels (2009)A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models (2011)A Stochastic Approximation Method (1951)Empirical Model Building and Response Surfaces (1988)Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large (2001)Simulation Optimization: A Review, New Developments, and Applications (2006)Principles of Operations Research. (1970)Chapter 3 Centralized planning models for multi-echelon inventory systems under uncertainty (1993)Lower Bounds for Multi-Echelon Stochastic Inventory Systems (1994)A review of the joint replenishment problem literature: 1989–2005 (2007)Simulation modeling and analysis (1999)Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation (2017)Studies in Mathematical Theory of Inventory and Production (1959)Analysis of Inventory Systems. (1964)A Dynamic Inventory Model with Stochastic Lead Times (1970)Evaluation of One-for-One Replenishment Policies for Multiechelon Inventory Systems (1991)A Multiechelon Inventory Model with Fixed Replenishment Intervals (1996)Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses (2008)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19 (2022)Supply chain resilience initiatives and strategies: A systematic review (2022)Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective (2023)Closed-Loop Supply Chain Models with Product Remanufacturing (2004)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Perspectives in supply chain risk management (2006)Optimization for Simulation: Theory vs. Practice (2002)Proceedings of the 2002 Winter Simulation Conference (2002)Simulation optimization: a review of algorithms and applications (2015)Convergence of least squares learning mechanisms in self-referential linear stochastic models (1989)Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Monte Carlo Sampling Methods (2003)
this work references cited by second hop

References

  • 1989Handbooks in operations research and management science2,388 cited
  • 1978Stochastic Approximation Methods for Constrained and Unconstrained Systems1,459 cited
  • 1991Gradient Estimation via Perturbation Analysis707 cited
  • 1994Optimization via simulation: A review418 cited
  • 1991Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single Policy316 cited
  • 1986Stochastic leadtimes in continuous‐time inventory models173 cited
  • 1984(s, S) Policies for a Dynamic Inventory Model with Stochastic Lead Times138 cited

Cited by

  • 2021Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context178 cited
  • 2007Response surface methodology for constrained simulation optimization: An overview168 cited
  • 2007Optimization of simulated systems: OptQuest and alternatives136 cited
  • 2006Chapter 19 Gradient Estimation133 cited
  • 2009Constrained optimization in expensive simulation: Novel approach128 cited
  • 2007Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping106 cited
  • 2014Response Surface Methodology102 cited
  • 2015

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Simulation optimization in inventory replenishment: a classification
100 cited
  • 2004Managing Inventory and Supply Performance in Assembly Systems with Random Supply Capacity and Demand91 cited
  • 2014Stochastic Gradient Estimation90 cited
  • 2008Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems71 cited
  • 2008Some topics for simulation optimization71 cited
  • 2012Optimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands68 cited
  • 2008What you should know about simulation and derivatives61 cited
  • 2003Integrated inventory pooling for firms servicing both on-line and store demand60 cited
  • 2008Response surface methodology with stochastic constraints for expensive simulation57 cited