Newsvendor Inventory Optimization Model
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A Newsvendor Inventory Optimization Model is a single-period stochastic inventory optimization model that can be implemented by a newsvendor optimization system to determine optimal order quantities under demand uncertainty by balancing overage costs and underage costs.
- AKA: Newsboy Model, Single-Period Inventory Model, Newsstand Model, Perishable Inventory Model.
- Context:
- It can typically optimize Order Quantity Decisions through critical ratio methods and profit maximization formulas.
- It can typically balance Inventory Costs through holding costs, shortage costs, and salvage values.
- It can typically model Demand Uncertainty through probability distributions and forecast errors.
- It can typically support Service Level Targets through fill rate constraints and stockout probability limits.
- It can typically enable Risk Management through risk-averse utility functions and CVaR optimization.
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- It can often incorporate Price Decisions through joint pricing-inventory models and markdown strategies.
- It can often handle Multiple Products through substitution effects and capacity constraints.
- It can often address Supply Uncertainty through yield uncertainty and lead time variability.
- It can often support Information Updating through bayesian demand learning and quick response strategies.
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- It can range from being a Basic Newsvendor Inventory Optimization Model to being an Extended Newsvendor Inventory Optimization Model, depending on its model complexity.
- It can range from being a Risk-Neutral Newsvendor Inventory Optimization Model to being a Risk-Averse Newsvendor Inventory Optimization Model, depending on its risk preference modeling.
- It can range from being a Single-Product Newsvendor Inventory Optimization Model to being a Multi-Product Newsvendor Inventory Optimization Model, depending on its product scope.
- It can range from being a Continuous Newsvendor Inventory Optimization Model to being a Discrete Newsvendor Inventory Optimization Model, depending on its demand distribution type.
- It can range from being a Static Newsvendor Inventory Optimization Model to being an Adaptive Newsvendor Inventory Optimization Model, depending on its learning capability.
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- It can integrate with Demand Forecasting Systems for demand distribution estimation.
- It can connect to Supply Chain Management Systems for inventory level optimization.
- It can interface with Revenue Management Systems for pricing coordination.
- It can communicate with ERP Systems for order quantity execution.
- It can synchronize with Point-of-Sale Systems for real-time demand tracking.
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- Examples:
- Retail Newsvendor Inventory Optimization Models, such as:
- Media Newsvendor Inventory Optimization Models, such as:
- Service Industry Newsvendor Inventory Optimization Models, such as:
- Healthcare Newsvendor Inventory Optimization Models, such as:
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- Counter-Examples:
- Economic Order Quantity Model, which lacks demand uncertainty consideration.
- Multi-Period Inventory Model, which allows inventory carryover.
- Continuous Review Model, which enables continuous replenishment.
- See: Inventory Theory, Stochastic Optimization, Critical Ratio, Service Level, Supply Chain Management, Revenue Management, Perishable Inventory, Demand Forecasting, Risk Management.