Safety stock versus safety time in MRP controlled production systems
Management Science
Optimizing Strategic Safety Stock Placement in Supply Chains
Manufacturing & Service Operations Management
Creating an Inventory Hedge for Markov-Modulated Poisson Demand: An Application and Model
Manufacturing & Service Operations Management
Integrating Replenishment Decisions with Advance Demand Information
Management Science
A Time-Series Framework for Supply-Chain Inventory Management
Operations Research
Evolution of ARMA Demand in Supply Chains
Manufacturing & Service Operations Management
Data Set---Real-World Multiechelon Supply Chains Used for Inventory Optimization
Manufacturing & Service Operations Management
Strategic Inventory Placement in Supply Chains: Nonstationary Demand
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
A Multiordering Newsvendor Model with Dynamic Forecast Evolution
Manufacturing & Service Operations Management
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We examine the placement of safety stocks in a supply chain for which we have an evolving demand forecast. Under assumptions about the forecasts, the demand process, and the supply chain structure, we show that safety-stock placement for such systems is effectively equivalent to the corresponding well-studied problem for systems with stationary demand bounds and base-stock policies. Hence, we can use existing algorithms to find the optimal safety stocks. We use a case study with real data to demonstrate that there are significant benefits from the inclusion of the forecast process when determining the optimal safety stocks. We also conduct a computational experiment to explore how the placement and size of the safety stocks depend on the nature of the forecast evolution process.