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A fully polynomial-time approximation scheme for single-item stochastic inventory control with discrete demand

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Approximating the nonlinear newsvendor and single-item stochastic lot-sizing problems when data is given by an oracle

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Robust stochastic lot-sizing by means of histograms

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Optimal expediting policies for a serial inventory system with stochastic lead time

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Hedging the drift : learning to optimize under nonstationarity

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Sampling-based approximation schemes for capacitated stochastic inventory control models

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Random dual expected utility

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A Fully Polynomial Time Approximation Scheme for Single-Item Stochastic Lot-Sizing Problems with Discrete Demand

Orlin, James B. - 2006

The single-item stochastic lot-sizing problem is to find an inventory replenishment policy in the presence of a stochastic demand under periodic review and finite time horizon. The computational intractability of computing an optimal policy is widely believed and therefore approximation...

Persistent link: https://www.econbiz.de/10012734449